default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYanzhi Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j88]Dan Wu, Yanzhi Wang
, Yuqi Fei, Guowang Gao:
A Novel Mixed-Precision Quantization Approach for CNNs. IEEE Access 13: 49309-49319 (2025)- [j87]Ziyang Yu, Yanzhi Wang, Xiaofeng Zong, Jinhong Wu, Qi Zhou:
GRUDMU-DSCNN: An edge computing method for fault diagnosis with missing data. Appl. Intell. 55(2): 140 (2025) - [j86]Chu Wang, Jinhong Wu, Yanzhi Wang, Zhijian Zha, Qi Zhou:
Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems. Eng. Appl. Artif. Intell. 148: 110405 (2025) - [j85]Chu Wang, Jinhong Wu, Yanzhi Wang, Zhijian Zha, Qi Zhou:
MPIPN: a multi physics-informed PointNet for solving parametric acoustic-structure systems. Eng. Comput. 41(1): 225-246 (2025) - [j84]Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang:
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(4): 1406-1419 (2025) - [j83]Yanzhi Wang, Jinhong Wu, Shuyang Luo, Ziyang Yu, Qi Zhou:
A Lightweight Reprogramming Framework for Cross-Device Fault Diagnosis in Edge Computing. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - [c353]Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang:
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. AAAI 2025: 18879-18887 - [c352]Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu:
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. AAAI 2025: 20409-20417 - [c351]Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu:
Numerical Pruning for Efficient Autoregressive Models. AAAI 2025: 20418-20426 - [c350]Chao Wu, Cheng Ji, Li-Pin Chang, Zongwei Zhu, Congming Gao, Weichao Guo, Chao Yu, Yanzhi Wang:
MedFS: Pursuing Low Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Device. FAST 2025: 461-478 - [i185]Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang:
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. CoRR abs/2501.04315 (2025) - [i184]Xuan Shen, Yizhou Wang, Xiangxi Shi, Yanzhi Wang, Pu Zhao, Jiuxiang Gu:
Efficient Reasoning with Hidden Thinking. CoRR abs/2501.19201 (2025) - [i183]Qitao Tan, Jun Liu, Zheng Zhan, Caiwei Ding, Yanzhi Wang, Jin Lu, Geng Yuan:
Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning. CoRR abs/2502.03304 (2025) - [i182]Lei Lu, Yize Li, Yanzhi Wang, Wei Wang, Wei Jiang:
HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates. CoRR abs/2502.07160 (2025) - [i181]Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang, Henghui Ding, Wei Niu, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu:
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. CoRR abs/2503.16709 (2025) - 2024
- [j82]Yanzhi Wang, Ziyang Yu, Jinhong Wu, Chu Wang, Qi Zhou, Jiexiang Hu:
Adaptive Knowledge Distillation-Based Lightweight Intelligent Fault Diagnosis Framework in IoT Edge Computing. IEEE Internet Things J. 11(13): 23156-23169 (2024) - [j81]Yanzhi Wang, Jianxiao Wang, Feng Gao, Jie Song:
Unveiling value patterns via deep reinforcement learning in heterogeneous data analytics. Patterns 5(5): 100965 (2024) - [j80]Dan Wu, Yanzhi Wang, Haoran Wang, Fei Wang, Guowang Gao:
DCFNet: Infrared and Visible Image Fusion Network Based on Discrete Wavelet Transform and Convolutional Neural Network. Sensors 24(13): 4065 (2024) - [j79]Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, Tianshi Chen:
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 366-379 (2024) - [j78]Peiyan Dong, Jinming Zhuang, Zhuoping Yang, Shixin Ji, Yanyu Li, Dongkuan Xu, Heng Huang, Jingtong Hu, Alex K. Jones, Yiyu Shi, Yanzhi Wang, Peipei Zhou:
EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 3949-3960 (2024) - [j77]Olivia Chen, Renyuan Zhang, Wenhui Luo, Yanzhi Wang, Nobuyuki Yoshikawa:
Extremely Energy-Efficient Non-Linear Function Approximation Framework Using Stochastic Superconductor Devices. IEEE Trans. Emerg. Top. Comput. 12(4): 956-967 (2024) - [c349]Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang:
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. AAAI 2024: 18944-18951 - [c348]Malith Jayaweera, Martin Kong, Yanzhi Wang, David R. Kaeli:
Energy-Aware Tile Size Selection for Affine Programs on GPUs. CGO 2024: 13-27 - [c347]Yanyu Li, Xian Liu, Anil Kag, Ju Hu, Yerlan Idelbayev, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
TextCraftor: Your Text Encoder can be Image Quality Controller. CVPR 2024: 7985-7995 - [c346]Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang:
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. CVPR 2024: 8661-8670 - [c345]Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang:
LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. DAC 2024: 199:1-199:6 - [c344]Zhengang Li, Xuan Shen, Geng Yuan, Masoud Zabihi, Tomoharu Yamauchi, Yanzhi Wang, Olivia Chen:
Late Breaking Result: AQFP-aware Binary Neural Network Architecture Search. DAC 2024: 354:1-354:2 - [c343]Yushu Wu, Chao Wu, Geng Yuan, Yanyu Li, Weichao Guo, Jing Rao, Xipeng Shen, Bin Ren, Yanzhi Wang:
DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices. DATE 2024: 1-2 - [c342]Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang:
SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. DATE 2024: 1-6 - [c341]Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
Efficient Training with Denoised Neural Weights. ECCV (83) 2024: 18-34 - [c340]Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang:
InstructGIE: Towards Generalizable Image Editing. ECCV (88) 2024: 18-34 - [c339]Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang:
DiffClass: Diffusion-Based Class Incremental Learning. ECCV (87) 2024: 142-159 - [c338]Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang:
Rethinking Token Reduction for State Space Models. EMNLP 2024: 1686-1697 - [c337]Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin:
Pruning Foundation Models for High Accuracy without Retraining. EMNLP (Findings) 2024: 9681-9694 - [c336]Geng Yang, Yanyue Xie, Zhong Jia Xue, Sung-En Chang, Yanyu Li, Peiyan Dong, Jie Lei, Weiying Xie, Yanzhi Wang, Xue Lin, Zhenman Fang:
SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs. FPL 2024: 264-273 - [c335]Chao Wu, Yifan Gong, Liangkai Liu, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi, Yanzhi Wang:
AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. ICCAD 2024: 178:1-178:9 - [c334]Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan:
Reducing Unfairness in Distributed Community Detection. ICDM 2024: 953-958 - [c333]Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan:
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. ICLR 2024 - [c332]Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. ICML 2024 - [c331]Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang:
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. ICS 2024: 324-337 - [c330]Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu, Enfu Nan, Chih-hsiang Li, Caiyue Lai, Zhimin Li, Zhijun Hu, Yumei He, David R. Kaeli, Yanzhi Wang:
Digital Avatars: Framework Development and Their Evaluation. IJCAI 2024: 8780-8783 - [c329]Pinrui Yu, Dan Luo, Timothy Rupprecht, Lei Lu, Zhenglun Kong, Pu Zhao, Yanyu Li, Octavia I. Camps, Xue Lin, Yanzhi Wang:
FasterVD: On Acceleration of Video Diffusion Models. IJCAI 2024: 8838-8842 - [c328]Malith Jayaweera, Yanyu Li, Yanzhi Wang, Bin Ren, David R. Kaeli:
DEFCON: Deformable Convolutions Leveraging Interval Search and GPU Texture Hardware. IPDPS 2024: 644-655 - [c327]Lei Lu, Yanyue Xie, Wei Jiang, Wei Wang, Xue Lin, Yanzhi Wang:
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression. ACM Multimedia 2024: 3010-3018 - [c326]Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang:
Exploring Token Pruning in Vision State Space Models. NeurIPS 2024 - [c325]Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang:
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. NeurIPS 2024 - [c324]Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang:
Search for Efficient Large Language Models. NeurIPS 2024 - [c323]Maurice Boothe Jr., Madhumitha Gopalakrishnan, Mischa Huynh, Yanzhi Wang, Xavier Ochoa:
Game-Based Learning Analytics: Insights from an Integrated Design Process. JCSG 2024: 108-123 - [i180]Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. CoRR abs/2401.06127 (2024) - [i179]Sheng Li, Geng Yuan, Yawen Wu, Yue Dai, Chao Wu, Alex K. Jones, Jingtong Hu, Yanzhi Wang, Xulong Tang:
EdgeOL: Efficient in-situ Online Learning on Edge Devices. CoRR abs/2401.16694 (2024) - [i178]Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang:
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. CoRR abs/2401.16720 (2024) - [i177]Xuan Shen, Zhenglun Kong, Changdi Yang, Zhaoyang Han, Lei Lu, Peiyan Dong, Cheng Lyu, Chih-hsiang Li, Xuehang Guo, Zhihao Shu, Wei Niu, Miriam Leeser, Pu Zhao, Yanzhi Wang:
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge. CoRR abs/2402.10787 (2024) - [i176]Chu Wang, Jinhong Wu, Yanzhi Wang, Zhijian Zha, Qi Zhou:
MPIPN: A Multi Physics-Informed PointNet for solving parametric acoustic-structure systems. CoRR abs/2403.01132 (2024) - [i175]Chu Wang, Jinhong Wu, Yanzhi Wang, Zhijian Zha, Qi Zhou:
Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems. CoRR abs/2403.02810 (2024) - [i174]Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang:
DiffClass: Diffusion-Based Class Incremental Learning. CoRR abs/2403.05016 (2024) - [i173]Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang:
InstructGIE: Towards Generalizable Image Editing. CoRR abs/2403.05018 (2024) - [i172]Jun Liu, Chao Wu, Changdi Yang, Hao Tang, Haoye Dong, Zhenglun Kong, Geng Yuan, Wei Niu, Dong Huang, Yanzhi Wang:
Efficient Pruning of Large Language Model with Adaptive Estimation Fusion. CoRR abs/2403.10799 (2024) - [i171]Yanyu Li, Xian Liu, Anil Kag, Ju Hu, Yerlan Idelbayev, Dhritiman Sagar, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
TextCraftor: Your Text Encoder Can be Image Quality Controller. CoRR abs/2403.18978 (2024) - [i170]Lei Lu, Yanyue Xie, Wei Jiang, Wei Wang, Xue Lin, Yanzhi Wang:
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression. CoRR abs/2404.13372 (2024) - [i169]Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang:
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. CoRR abs/2406.00195 (2024) - [i168]Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
Efficient Training with Denoised Neural Weights. CoRR abs/2407.11966 (2024) - [i167]Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang:
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. CoRR abs/2407.18175 (2024) - [i166]Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang:
SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. CoRR abs/2407.18209 (2024) - [i165]Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu, Enfu Nan, Chih-hsiang Li, Caiyue Lai, Zhimin Li, Zhijun Hu, Yumei He, David R. Kaeli, Yanzhi Wang:
Digital Avatars: Framework Development and Their Evaluation. CoRR abs/2408.04068 (2024) - [i164]Chao Wu, Yifan Gong, Liangkai Liu, Mengquan Li, Yushu Wu, Xuan Shen, Zhimin Li, Geng Yuan, Weisong Shi, Yanzhi Wang:
AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. CoRR abs/2408.05363 (2024) - [i163]Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang:
Search for Efficient Large Language Models. CoRR abs/2409.17372 (2024) - [i162]Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang:
Exploring Token Pruning in Vision State Space Models. CoRR abs/2409.18962 (2024) - [i161]Jun Liu, Geng Yuan, Weihao Zeng, Hao Tang, Wenbin Zhang, Xue Lin, Xiaolin Xu, Dong Huang, Yanzhi Wang:
Brain Tumor Classification on MRI in Light of Molecular Markers. CoRR abs/2409.19583 (2024) - [i160]Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang:
Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices. CoRR abs/2410.10847 (2024) - [i159]Yanyue Xie, Zhi Zhang, Ding Zhou, Cong Xie, Ziang Song, Xin Liu, Yanzhi Wang, Xue Lin, An Xu:
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router. CoRR abs/2410.12013 (2024) - [i158]Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang:
Rethinking Token Reduction for State Space Models. CoRR abs/2410.14725 (2024) - [i157]Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin:
Pruning Foundation Models for High Accuracy without Retraining. CoRR abs/2410.15567 (2024) - [i156]Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang:
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. CoRR abs/2411.01171 (2024) - [i155]Yanzhi Wang, Chu Wang, Jinhong Wu, Ziyang Yu, Qi Zhou:
Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis. CoRR abs/2411.10340 (2024) - [i154]Jingxu Ng, Cheng Lv, Pu Zhao, Wei Niu, Juyi Lin, Minzhou Pan, Yun Liang, Yanzhi Wang:
Open-Source Acceleration of Stable-Diffusion.cpp. CoRR abs/2412.05781 (2024) - [i153]Pu Zhao, Xuan Shen, Zhenglun Kong, Yixin Shen, Sung-En Chang, Timothy Rupprecht, Lei Lu, Enfu Nan, Changdi Yang, Yumei He, Xingchen Xu, Yu Huang, Wei Wang, Yue Chen, Yong He, Yanzhi Wang:
Fully Open Source Moxin-7B Technical Report. CoRR abs/2412.06845 (2024) - [i152]Yushu Wu, Zhixing Zhang, Yanyu Li, Yanwu Xu, Anil Kag, Yang Sui, Huseyin Coskun, Ke Ma, Aleksei Lebedev, Ju Hu, Dimitris N. Metaxas, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device. CoRR abs/2412.10494 (2024) - [i151]Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu:
Numerical Pruning for Efficient Autoregressive Models. CoRR abs/2412.12441 (2024) - [i150]Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu:
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. CoRR abs/2412.12444 (2024) - [i149]Lei Lu, Zhepeng Wang, Runxue Bao, Mengbing Wang, Fangyi Li, Yawen Wu, Weiwen Jiang, Jie Xu, Yanzhi Wang, Shangqian Gao:
All-in-One Tuning and Structural Pruning for Domain-Specific LLMs. CoRR abs/2412.14426 (2024) - 2023
- [j76]Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen:
Survey: Exploiting Data Redundancy for Optimization of Deep Learning. ACM Comput. Surv. 55(10): 212:1-212:38 (2023) - [j75]Yanzhi Wang, Jinhong Wu, Ziyang Yu, Jiexiang Hu, Qi Zhou:
A structurally re-parameterized convolution neural network-based method for gearbox fault diagnosis in edge computing scenarios. Eng. Appl. Artif. Intell. 126: 107091 (2023) - [j74]Yinan Tang, Tongtong Yuan, Zhiyuan Xu, Weiyi Zhang, Jian Tang, Guoliang Xue, Yanzhi Wang:
AI-Enabled Experience-Driven Networking: Vision, State-of-the-Art and Future Directions. IEEE Netw. 37(3): 60-66 (2023) - [j73]Zeinab S. Jalali, Chenghong Wang, Griffin Kearney, Geng Yuan, Caiwen Ding, Yinan Zhou, Yanzhi Wang, Sucheta Soundarajan:
Memristor-Based Spectral Decomposition of Matrices and Its Applications. IEEE Trans. Computers 72(5): 1460-1472 (2023) - [j72]Chen Pan, Wen Zhang, Yanzhi Wang, Mimi Xie:
ELIXIR: An Expedient Connection Paradigm for Self-Powered IoT Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3743-3756 (2023) - [j71]Zhiyuan Xu, Dejun Yang, Chengxiang Yin, Jian Tang, Yanzhi Wang, Guoliang Xue:
A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices With Heterogeneous Hardware. IEEE Trans. Mob. Comput. 22(3): 1275-1288 (2023) - [j70]Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang:
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9847-9858 (2023) - [j69]Sara Garcia Sanchez, Guillem Reus Muns, Carlos Bocanegra, Yanyu Li, Ufuk Muncuk, M. Yousof Naderi, Yanzhi Wang, Stratis Ioannidis, Kaushik Roy Chowdhury:
AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces. IEEE/ACM Trans. Netw. 31(6): 2470-2482 (2023) - [c322]Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang:
Towards Real-Time Segmentation on the Edge. AAAI 2023: 1468-1476 - [c321]Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang:
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. AAAI 2023: 8360-8368 - [c320]Olivia Chen, Zhengang Li, Tomoharu Yamauchi, Yanzhi Wang, Nobuyuki Yoshikawa:
Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices. AICAS 2023: 1-5 - [c319]Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang:
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. CVPR 2023: 6163-6173 - [c318]Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu:
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. CVPR 2023: 10781-10791 - [c317]Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang:
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. CVPR 2023: 15402-15412 - [c316]Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang:
Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. DAC 2023: 1-6 - [c315]Zhengang Li, Yanyue Xie, Peiyan Dong, Olivia Chen, Yanzhi Wang:
Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration. DAC 2023: 1-4 - [c314]Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang:
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. DATE 2023: 1-6 - [c313]Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang:
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. HPCA 2023: 442-455 - [c312]Yushu Wu, Yifan Gong, Zheng Zhan, Geng Yuan, Yanyu Li, Qi Wang, Chao Wu, Yanzhi Wang:
MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. ICCAD 2023: 1-10 - [c311]Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin, Yanzhi Wang:
Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. ICCAD 2023: 1-9 - [c310]Yanyu Li, Ju Hu, Yang Wen, Georgios Evangelidis, Kamyar Salahi, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
Rethinking Vision Transformers for MobileNet Size and Speed. ICCV 2023: 16843-16854 - [c309]Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan:
Unfairness in Distributed Graph Frameworks. ICDM 2023: 1529-1534 - [c308]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. ICLR 2023 - [c307]Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang:
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. ICLR 2023 - [c306]Peiyan Dong, Zhenglun Kong, Xin Meng, Peng Zhang, Hao Tang, Yanzhi Wang, Chih-Hsien Chou:
SpeedDETR: Speed-aware Transformers for End-to-end Object Detection. ICML 2023: 8227-8243 - [c305]Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. ICML 2023: 36578-36592 - [c304]Hongyu Li, Zhengang Li, Neset Ünver Akmandor, Huaizu Jiang, Yanzhi Wang, Taskin Padir:
StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks. ICRA 2023: 4826-4833 - [c303]Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang:
Data Level Lottery Ticket Hypothesis for Vision Transformers. IJCAI 2023: 1378-1386 - [c302]Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang:
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD 2023: 5901-5902 - [c301]Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen:
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. MICRO 2023: 584-598 - [c300]Olivia Chen, Yanzhi Wang, Fei Ke, Nobuyuki Yoshikawa:
Design and Implementation of an FFT-Based Neural Network Accelerator Using Rapid Single-Flux-Quantum Technology. NEWCAS 2023: 1-5 - [c299]Peiyan Dong, Zhenglun Kong, Xin Meng, Pinrui Yu, Yifan Gong, Geng Yuan, Hao Tang, Yanzhi Wang:
HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception. NeurIPS 2023 - [c298]Peiyan Dong, Lei Lu, Chao Wu, Cheng Lyu, Geng Yuan, Hao Tang, Yanzhi Wang:
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile. NeurIPS 2023 - [c297]Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. NeurIPS 2023 - [i148]Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang:
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. CoRR abs/2303.02165 (2023) - [i147]Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu:
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? CoRR abs/2303.07474 (2023) - [i146]Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. CoRR abs/2305.00380 (2023) - [i145]Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. CoRR abs/2306.00980 (2023) - [i144]Masoud Zabihi, Yanyue Xie, Zhengang Li, Peiyan Dong, Geng Yuan, Olivia Chen, Massoud Pedram, Yanzhi Wang:
A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits. CoRR abs/2307.12216 (2023) - [i143]Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen:
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. CoRR abs/2309.12212 (2023) - [i142]Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang:
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. CoRR abs/2312.05693 (2023) - 2022
- [j68]Runze Han, Peng Huang, Yachen Xiang, Hong Hu, Sheng Lin, Peiyan Dong, Wensheng Shen, Yanzhi Wang, Xiaoyan Liu, Jinfeng Kang:
Floating Gate Transistor-Based Accurate Digital In-Memory Computing for Deep Neural Networks. Adv. Intell. Syst. 4(12) (2022) - [j67]Bahar Azari, Hai Cheng, Nasim Soltani, Haoqing Li, Yanyu Li, Mauro Belgiovine, Tales Imbiriba, Salvatore D'Oro, Tommaso Melodia, Yanzhi Wang, Pau Closas, Kaushik R. Chowdhury, Deniz Erdogmus:
Automated deep learning-based wide-band receiver. Comput. Networks 218: 109367 (2022) - [j66]Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury:
Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. IEEE Internet Things Mag. 5(3): 158-164 (2022) - [j65]Shuyang Luo, Xufeng Huang, Yanzhi Wang, Rongmin Luo, Qi Zhou:
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis. Knowl. Based Syst. 256: 109846 (2022) - [j64]Timothy Rupprecht, Yanzhi Wang:
A survey for deep reinforcement learning in markovian cyber-physical systems: Common problems and solutions. Neural Networks 153: 13-36 (2022) - [j63]Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6224-6239 (2022) - [j62]Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4694-4707 (2022) - [j61]Jingyu Wang, Songming Yu, Zhuqing Yuan, Jinshan Yue, Zhe Yuan, Ruoyang Liu, Yanzhi Wang, Huazhong Yang, Xueqing Li, Yongpan Liu:
PACA: A Pattern Pruning Algorithm and Channel-Fused High PE Utilization Accelerator for CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 5043-5056 (2022) - [j60]Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang:
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. ACM Trans. Embed. Comput. Syst. 21(5): 65:1-65:22 (2022) - [j59]Zhiyuan Xu, Jian Tang, Chengxiang Yin, Yanzhi Wang, Guoliang Xue, Jing Wang, Mustafa Cenk Gursoy:
ReCARL: Resource Allocation in Cloud RANs With Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 21(7): 2533-2545 (2022) - [j58]Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis:
Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. 21(11): 4078-4093 (2022) - [j57]Chengxiang Yin, Jian Tang, Tongtong Yuan, Zhiyuan Xu, Yanzhi Wang:
Bridging the Gap Between Semantic Segmentation and Instance Segmentation. IEEE Trans. Multim. 24: 4183-4196 (2022) - [j56]Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang:
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2259-2273 (2022) - [j55]Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang:
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33(9): 4930-4944 (2022) - [j54]Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang:
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Trans. Design Autom. Electr. Syst. 27(5): 47:1-47:26 (2022) - [j53]Cheng Gong, Ye Lu, Kunpeng Xie, Zongming Jin, Tao Li, Yanzhi Wang:
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks. IEEE Trans. Parallel Distributed Syst. 33(11): 3178-3193 (2022) - [c296]Yanzhi Wang, Yue Zhao, Jie Song, Hongju Liu:
What drives patients to choose a physician online? A study based on tree models and SHAP values. CASE 2022: 1676-1683 - [c295]Nasim Soltani, Yanyu Li, Deniz Erdogmus, Yanzhi Wang, Kaushik R. Chowdhury:
NN-key: A Neural Network-Based Secret Key for Demapping OFDM Symbols. CCNC 2022: 847-852 - [c294]Zhiyu Chen, Qing Jin, Zhanghao Yu, Yanzhi Wang, Kaiyuan Yang:
DCT-RAM: A Driver-Free Process-In-Memory 8T SRAM Macro with Multi-Bit Charge-Domain Computation and Time-Domain Quantization. CICC 2022: 1-2 - [c293]Peiyan Dong, Yanyue Xie, Hongjia Li, Mengshu Sun, Olivia Chen, Nobuyuki Yoshikawa, Yanzhi Wang:
TAAS: a timing-aware analytical strategy for AQFP-capable placement automation. DAC 2022: 1321-1326 - [c292]Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang:
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. DAC 2022: 1396-1397 - [c291]Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang:
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. ECCV (12) 2022: 34-51 - [c290]Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang:
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. ECCV (19) 2022: 92-111 - [c289]Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang:
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. ECCV (11) 2022: 620-640 - [c288]Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang:
Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. FCCM 2022: 1 - [c287]Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang:
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. ICCAD 2022: 133:1-133:9 - [c286]Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang:
Quantum Neural Network Compression. ICCAD 2022: 140:1-140:9 - [c285]Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Pruning Adversarially Robust Neural Networks without Adversarial Examples. ICDM 2022: 993-998 - [c284]Qing Jin, Jian Ren, Richard Zhuang, Sumant Hanumante, Zhengang Li, Zhiyu Chen, Yanzhi Wang, Kaiyuan Yang, Sergey Tulyakov:
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization. ICLR 2022 - [c283]Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie:
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. ICLR 2022 - [c282]Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. ICML 2022: 3025-3039 - [c281]Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie:
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. ICTAI 2022: 555-562 - [c280]Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen:
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. IJCAI 2022: 3236-3242 - [c279]Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang:
Real-Time Portrait Stylization on the Edge. IJCAI 2022: 5928-5931 - [c278]Md. Oli-Uz-Zaman, Saleh Ahmad Khan, Geng Yuan, Yanzhi Wang, Zhiheng Liao, Jingyan Fu, Caiwen Ding, Jinhui Wang:
Reliability Improvement in RRAM-based DNN for Edge Computing. ISCAS 2022: 581-585 - [c277]Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang:
BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. ISQED 2022: 1-8 - [c276]Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren:
GCD2: A Globally Optimizing Compiler for Mapping DNNs to Mobile DSPs. MICRO 2022: 512-529 - [c275]Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
SparCL: Sparse Continual Learning on the Edge. NeurIPS 2022 - [c274]Yanyu Li, Geng Yuan, Yang Wen, Ju Hu, Georgios Evangelidis, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
EfficientFormer: Vision Transformers at MobileNet Speed. NeurIPS 2022 - [c273]Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren:
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. NeurIPS 2022 - [c272]Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu:
Advancing Model Pruning via Bi-level Optimization. NeurIPS 2022 - [c271]Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen:
Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. RTAS 2022: 297-300 - [c270]Liangkai Liu, Zheng Dong, Yanzhi Wang, Weisong Shi:
Prophet: Realizing a Predictable Real-time Perception Pipeline for Autonomous Vehicles. RTSS 2022: 305-317 - [c269]Olivia Chen, Yanzhi Wang, Renyuan Zhang, Nobuyuki Yoshikawa:
Design and Implementation of Stochastic Neural Networks Using Superconductor Quantum-Flux-Parametron Devices. SOCC 2022: 1-6 - [c268]Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang:
Optimizing Data Layout for Training Deep Neural Networks. WWW (Companion Volume) 2022: 548-554 - [i141]Mengshu Sun, Haoyu Ma, Guoliang Kang, Yifan Jiang, Tianlong Chen, Xiaolong Ma, Zhangyang Wang, Yanzhi Wang:
VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. CoRR abs/2201.06618 (2022) - [i140]Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. CoRR abs/2202.04736 (2022) - [i139]Qing Jin, Jian Ren, Richard Zhuang, Sumant Hanumante, Zhengang Li, Zhiyu Chen, Yanzhi Wang, Kaiyuan Yang, Sergey Tulyakov:
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization. CoRR abs/2202.05239 (2022) - [i138]Anu Jagannath, Jithin Jagannath, Yanzhi Wang, Tommaso Melodia:
Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks. CoRR abs/2204.04390 (2022) - [i137]Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury:
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices. CoRR abs/2205.06159 (2022) - [i136]Yanyu Li, Geng Yuan, Yang Wen, Eric Hu, Georgios Evangelidis, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
EfficientFormer: Vision Transformers at MobileNet Speed. CoRR abs/2206.01191 (2022) - [i135]Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen:
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. CoRR abs/2206.01198 (2022) - [i134]Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang:
Real-Time Portrait Stylization on the Edge. CoRR abs/2206.01244 (2022) - [i133]Xiaofeng Li, Bin Ren, Xipeng Shen, Yanzhi Wang:
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework. CoRR abs/2206.10620 (2022) - [i132]David James Woo, Yanzhi Wang, Hengky Susanto:
Student-AI Creative Writing: Pedagogical Strategies for Applying Natural Language Generation in Schools. CoRR abs/2207.01484 (2022) - [i131]Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang:
Quantum Neural Network Compression. CoRR abs/2207.01578 (2022) - [i130]Kun Wu, Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang, Dejun Yang:
Continual Few-Shot Learning with Adversarial Class Storage. CoRR abs/2207.12303 (2022) - [i129]Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang:
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. CoRR abs/2207.12577 (2022) - [i128]Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen:
Survey: Exploiting Data Redundancy for Optimization of Deep Learning. CoRR abs/2208.13363 (2022) - [i127]Liangkai Liu, Yanzhi Wang, Weisong Shi:
Understanding Time Variations of DNN Inference in Autonomous Driving. CoRR abs/2209.05487 (2022) - [i126]Hongyu Li, Zhengang Li, Neset Ünver Akmandor, Huaizu Jiang, Yanzhi Wang, Taskin Padir:
StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks. CoRR abs/2209.08459 (2022) - [i125]Qing Jin, Zhiyu Chen, Jian Ren, Yanyu Li, Yanzhi Wang, Kaiyuan Yang:
PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems. CoRR abs/2209.08617 (2022) - [i124]Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
SparCL: Sparse Continual Learning on the Edge. CoRR abs/2209.09476 (2022) - [i123]Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren:
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. CoRR abs/2209.11204 (2022) - [i122]Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu:
Advancing Model Pruning via Bi-level Optimization. CoRR abs/2210.04092 (2022) - [i121]Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Pruning Adversarially Robust Neural Networks without Adversarial Examples. CoRR abs/2210.04311 (2022) - [i120]Chao Wu, Cheng Ji, Geng Yuan, Riwei Pan, Weichao Guo, Chao Yu, Zongwei Zhu, Yanzhi Wang:
DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices. CoRR abs/2210.04623 (2022) - [i119]Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang:
The Lottery Ticket Hypothesis for Vision Transformers. CoRR abs/2211.01484 (2022) - [i118]Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang:
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. CoRR abs/2211.08110 (2022) - [i117]Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang:
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. CoRR abs/2211.10801 (2022) - [i116]Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu:
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. CoRR abs/2211.11152 (2022) - [i115]Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang:
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR abs/2211.12005 (2022) - [i114]Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang:
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. CoRR abs/2212.05122 (2022) - [i113]Yanyu Li, Ju Hu, Yang Wen, Georgios Evangelidis, Kamyar Salahi, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
Rethinking Vision Transformers for MobileNet Size and Speed. CoRR abs/2212.08059 (2022) - 2021
- [j52]Zuoyi Chen, Yanzhi Wang, Jun Wu, Chao Deng, Kui Hu:
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform. Appl. Intell. 51(8): 5598-5609 (2021) - [j51]Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao:
CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. Commun. ACM 64(6): 62-68 (2021) - [j50]Zhiyuan Xu, Kun Wu, Weiyi Zhang, Jian Tang, Yanzhi Wang, Guoliang Xue:
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking. IEEE J. Sel. Areas Commun. 39(8): 2476-2486 (2021) - [j49]Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang:
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. IEEE J. Solid State Circuits 56(6): 1924-1935 (2021) - [j48]Jinshan Yue, Yongpan Liu, Ruoyang Liu, Wenyu Sun, Zhe Yuan, Yung-Ning Tu, Yi-Ju Chen, Ao Ren, Yanzhi Wang, Meng-Fan Chang, Xueqing Li, Huazhong Yang:
STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration. IEEE J. Solid State Circuits 56(6): 1936-1948 (2021) - [j47]Qin Li, Changlu Liu, Peiyan Dong, Yanming Zhang, Tong Li, Sheng Lin, Minda Yang, Fei Qiao, Yanzhi Wang, Li Luo, Huazhong Yang:
NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 1892-1905 (2021) - [j46]Yidong Liu, Siting Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han:
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2809-2824 (2021) - [j45]Zhiyuan Xu, Dejun Yang, Jian Tang, Yinan Tang, Tongtong Yuan, Yanzhi Wang, Guoliang Xue:
An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking. IEEE/ACM Trans. Netw. 29(1): 360-371 (2021) - [c267]Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang:
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. AAAI 2021: 955-963 - [c266]Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren:
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. AAAI 2021: 9179-9187 - [c265]Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang:
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. AAAI 2021: 15997-16000 - [c264]Qin Li, Peiyan Dong, Zijie Yu, Changlu Liu, Fei Qiao, Yanzhi Wang, Huazhong Yang:
Puncturing the memory wall: Joint optimization of network compression with approximate memory for ASR application. ASP-DAC 2021: 505-511 - [c263]Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang:
Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. ASP-DAC 2021: 581-586 - [c262]Jun Liu, Feng Deng, Geng Yuan, Xue Lin, Houbing Song, Yanzhi Wang:
An Explainable Convolutional Neural Networks for Automatic Segmentation of the Left Ventricle in Cardiac MRI. CECNet 2021: 306-314 - [c261]Feng Deng, Zhong Su, Rui Wang, Jun Liu, Yanzhi Wang:
A High-Performance Infrared Imaging System with Adaptive Contrast Enhancement. CECNet 2021: 581-590 - [c260]Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov:
Teachers Do More Than Teach: Compressing Image-to-Image Models. CVPR 2021: 13600-13611 - [c259]Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin:
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CVPR 2021: 14255-14266 - [c258]Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang:
A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. DAC 2021: 493-498 - [c257]Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin:
Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. DAC 2021: 835-840 - [c256]Geng Yuan, Payman Behnam, Yuxuan Cai, Ali Shafiee, Jingyan Fu, Zhiheng Liao, Zhengang Li, Xiaolong Ma, Jieren Deng, Jinhui Wang, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. DATE 2021: 926-931 - [c255]Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin:
Towards AQFP-Capable Physical Design Automation. DATE 2021: 954-959 - [c254]Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin:
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. HPCA 2021: 208-220 - [c253]Weizheng Xu, Ashutosh Pattnaik, Geng Yuan, Yanzhi Wang, Youtao Zhang, Xulong Tang:
ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. ICCAD 2021: 1-9 - [c252]Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. ICCV 2021: 4801-4811 - [c251]Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. ICCV 2021: 5231-5240 - [c250]Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang:
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. ICCV 2021: 5261-5270 - [c249]Yanzhi Wang, David James Woo:
Investigating Digital Literacy Skills in Examination-Oriented Education System for the Post-Pandemic Era. ICETM 2021: 169-175 - [c248]Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang:
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML 2021: 7011-7020 - [c247]Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. ICS 2021: 266-278 - [c246]Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang:
A Compression-Compilation Framework for On-mobile Real-time BERT Applications. IJCAI 2021: 5000-5003 - [c245]Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang:
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. IJCAI 2021: 5012-5015 - [c244]Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. ISCA 2021: 265-278 - [c243]Zhiyu Chen, Qing Jin, Jingyu Wang, Yanzhi Wang, Kaiyuan Yang:
MC2-RAM: An In-8T-SRAM Computing Macro Featuring Multi-Bit Charge-Domain Computing and ADC-Reduction Weight Encoding. ISLPED 2021: 1-6 - [c242]Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang:
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. ISQED 2021: 135-141 - [c241]Teng Li, Zhiyuan Xu, Jian Tang, Kun Wu, Yanzhi Wang:
EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads. IWQoS 2021: 1-11 - [c240]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS 2021: 12749-12760 - [c239]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS 2021: 20838-20850 - [c238]Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen:
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. NeurIPS 2021: 28169-28181 - [c237]Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren:
DNNFusion: accelerating deep neural networks execution with advanced operator fusion. PLDI 2021: 883-898 - [c236]Jinliang Xie, Jie Tang, Yanzhi Wang, Qi Zhu, Shaoshan Liu:
Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving. RTAS 2021: 421-424 - [c235]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin:
Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. RTAS 2021: 425-428 - [c234]Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang:
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. RTAS 2021: 493-496 - [c233]Malith Jayaweera, Kaustubh Shivdikar, Yanzhi Wang, David R. Kaeli:
JAXED: Reverse Engineering DNN Architectures Leveraging JIT GEMM Libraries. SEED 2021: 189-202 - [i112]Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang:
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? CoRR abs/2102.11068 (2021) - [i111]Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov:
Teachers Do More Than Teach: Compressing Image-to-Image Models. CoRR abs/2103.03467 (2021) - [i110]Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang:
A Compression-Compilation Framework for On-mobile Real-time BERT Applications. CoRR abs/2106.00526 (2021) - [i109]Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li:
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression. CoRR abs/2106.08301 (2021) - [i108]Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. CoRR abs/2106.09144 (2021) - [i107]Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang:
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. CoRR abs/2106.09166 (2021) - [i106]Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie:
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. CoRR abs/2106.09857 (2021) - [i105]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin:
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search. CoRR abs/2106.14943 (2021) - [i104]Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang:
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. CoRR abs/2106.15304 (2021) - [i103]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR abs/2107.00166 (2021) - [i102]Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang:
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. CoRR abs/2107.02388 (2021) - [i101]Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. CoRR abs/2108.08910 (2021) - [i100]Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity. CoRR abs/2108.11033 (2021) - [i99]Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren:
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion. CoRR abs/2108.13342 (2021) - [i98]Cheng Gong, Ye Lu, Kunpeng Xie, Zongming Jin, Tao Li, Yanzhi Wang:
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks. CoRR abs/2109.03513 (2021) - [i97]Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen:
Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. CoRR abs/2110.06373 (2021) - [i96]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR abs/2110.14032 (2021) - [i95]Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen:
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. CoRR abs/2110.14120 (2021) - [i94]Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. CoRR abs/2111.00153 (2021) - [i93]Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin:
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. CoRR abs/2111.00155 (2021) - [i92]Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang:
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. CoRR abs/2111.11581 (2021) - [i91]Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie:
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. CoRR abs/2112.10930 (2021) - [i90]Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang:
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning. CoRR abs/2112.13890 (2021) - 2020
- [j44]Burak Kakillioglu, Ao Ren, Yanzhi Wang, Senem Velipasalar:
3D Capsule Networks for Object Classification With Weight Pruning. IEEE Access 8: 27393-27405 (2020) - [j43]Yiran Chen, Deliang Fan, Yanzhi Wang, Shigeru Yamashita:
Editorial for the special issue on disruptive computing technologies. CCF Trans. High Perform. Comput. 2(3): 209-210 (2020) - [j42]Xuehai Qian, Yanzhi Wang, Avinash Karanth:
Guest Editors' Introduction to the Special Issue on Machine Learning Architectures and Accelerators. IEEE Trans. Computers 69(7): 929-930 (2020) - [j41]Yukui Luo, Wenhao Wang, Scott Best, Yanzhi Wang, Xiaolin Xu:
A High-Performance and Secure TRNG Based on Chaotic Cellular Automata Topology. IEEE Trans. Circuits Syst. 67-I(12): 4970-4983 (2020) - [j40]Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang:
Memory Augmented Deep Recurrent Neural Network for Video Question Answering. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3159-3167 (2020) - [c232]Masuma Akter Rumi, Xiaolong Ma, Yanzhi Wang, Peng Jiang:
Accelerating Sparse CNN Inference on GPUs with Performance-Aware Weight Pruning. PACT 2020: 267-278 - [c231]Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. AAAI 2020: 4876-4883 - [c230]Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. AAAI 2020: 5117-5124 - [c229]Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang:
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. AAAI 2020: 5495-5502 - [c228]Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. AAAI 2020: 8336-8343 - [c227]Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang:
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. ASP-DAC 2020: 301-306 - [c226]Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang:
Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. ASP-DAC 2020: 494-499 - [c225]Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. ASPLOS 2020: 907-922 - [c224]Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang:
PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. DAC 2020: 1-6 - [c223]Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma:
PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. DAC 2020: 1-6 - [c222]Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. DATE 2020: 951-956 - [c221]Yawen Zhang, Sheng Lin, Runsheng Wang, Yanzhi Wang, Yuan Wang, Weikang Qian, Ru Huang:
When Sorting Network Meets Parallel Bitstreams: A Fault-Tolerant Parallel Ternary Neural Network Accelerator based on Stochastic Computing. DATE 2020: 1287-1290 - [c220]Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) 2020: 629-645 - [c219]Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Adversarial T-Shirt! Evading Person Detectors in a Physical World. ECCV (5) 2020: 665-681 - [c218]Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang:
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. ACM Great Lakes Symposium on VLSI 2020: 119-124 - [c217]Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan:
Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI 2020: 125-130 - [c216]Qi Liu, Wujie Wen, Yanzhi Wang:
Concurrent Weight Encoding-based Detection for Bit-Flip Attack on Neural Network Accelerators. ICCAD 2020: 37:1-37:8 - [c215]Yi-Chen Chang, Hongjia Li, Olivia Chen, Yanzhi Wang, Nobuyuki Yoshikawa, Tsung-Yi Ho:
ASAP: An Analytical Strategy for AQFP Placement. ICCAD 2020: 134:1-134:7 - [c214]Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. ICDM 2020: 641-650 - [c213]Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang:
CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. ICS 2020: 24:1-24:12 - [c212]Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren:
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. IJCAI 2020: 5306-5308 - [c211]Yawen Zhang, Runsheng Wang, Yixuan Hu, Weikang Qian, Yanzhi Wang, Yuan Wang, Ru Huang:
Accurate and Energy-Efficient Implementation of Non-Linear Adder in Parallel Stochastic Computing using Sorting Network. ISCAS 2020: 1-5 - [c210]Qin Li, Sheng Lin, Changlu Liu, Yidong Liu, Fei Qiao, Yanzhi Wang, Huazhong Yang:
NS-KWS: joint optimization of near-sensor processing architecture and low-precision GRU for always-on keyword spotting. ISLPED 2020: 97-102 - [c209]Jiansong Li, Zihan Jiang, Fangxin Liu, Xiao Dong, Guangli Li, Xueying Wang, Wei Cao, Lei Liu, Yanzhi Wang, Tao Li, Xiaobing Feng:
Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators. ISPA/BDCloud/SocialCom/SustainCom 2020: 137-144 - [c208]Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. ISQED 2020: 347-351 - [c207]Yanzhi Wang:
Towards Ultra-Efficient DNN Inference Acceleration on Edge Devices for Wellbeing Applications. HealthDL@MobiSys 2020: 17 - [c206]Youwei Zhuo, Jingji Chen, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian:
SympleGraph: distributed graph processing with precise loop-carried dependency guarantee. PLDI 2020: 592-607 - [c205]Shichao Xu, Yixuan Wang, Yanzhi Wang, Zheng O'Neill, Qi Zhu:
One for Many: Transfer Learning for Building HVAC Control. BuildSys 2020: 230-239 - [i89]Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. CoRR abs/2001.00138 (2020) - [i88]Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. CoRR abs/2001.05314 (2020) - [i87]Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. CoRR abs/2001.07710 (2020) - [i86]Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang:
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. CoRR abs/2001.08357 (2020) - [i85]Zhengang Li, Yifan Gong, Xiaolong Ma, Sijia Liu, Mengshu Sun, Zheng Zhan, Zhenglun Kong, Geng Yuan, Yanzhi Wang:
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. CoRR abs/2001.08839 (2020) - [i84]Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. CoRR abs/2002.04776 (2020) - [i83]Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma:
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators. CoRR abs/2002.04997 (2020) - [i82]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. CoRR abs/2002.11474 (2020) - [i81]Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin:
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. CoRR abs/2003.06513 (2020) - [i80]Shaoshan Liu, Bin Ren, Xipeng Shen, Yanzhi Wang:
CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way. CoRR abs/2003.06700 (2020) - [i79]Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang:
A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. CoRR abs/2004.05531 (2020) - [i78]Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren:
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. CoRR abs/2004.11250 (2020) - [i77]Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang:
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks. CoRR abs/2005.05758 (2020) - [i76]Fangxin Liu, Wenbo Zhao, Yanzhi Wang, Changzhi Dai, Li Jiang:
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks. CoRR abs/2007.03903 (2020) - [i75]Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren:
Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. CoRR abs/2007.09835 (2020) - [i74]Shichao Xu, Yixuan Wang, Yanzhi Wang, Zheng O'Neill, Qi Zhu:
One for Many: Transfer Learning for Building HVAC Control. CoRR abs/2008.03625 (2020) - [i73]Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. CoRR abs/2008.06543 (2020) - [i72]Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding:
ESMFL: Efficient and Secure Models for Federated Learning. CoRR abs/2009.01867 (2020) - [i71]Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang:
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. CoRR abs/2009.05697 (2020) - [i70]Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang:
Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization. CoRR abs/2009.06823 (2020) - [i69]Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang:
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. CoRR abs/2009.07460 (2020) - [i68]Yifang Liu, Zhentao Xu, Qiyuan An, Yang Yi, Yanzhi Wang, Trevor Hastie:
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach. CoRR abs/2009.12969 (2020) - [i67]Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang:
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. CoRR abs/2011.02166 (2020) - [i66]Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. CoRR abs/2011.10170 (2020) - [i65]Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin:
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CoRR abs/2012.00596 (2020) - [i64]Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin:
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. CoRR abs/2012.04240 (2020) - [i63]Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. CoRR abs/2012.06956 (2020) - [i62]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin:
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device. CoRR abs/2012.13801 (2020)
2010 – 2019
- 2019
- [j39]Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang:
Normalization and dropout for stochastic computing-based deep convolutional neural networks. Integr. 65: 395-403 (2019) - [j38]Zhiyuan Xu, Jian Tang, Chengxiang Yin, Yanzhi Wang, Guoliang Xue:
Experience-Driven Congestion Control: When Multi-Path TCP Meets Deep Reinforcement Learning. IEEE J. Sel. Areas Commun. 37(6): 1325-1336 (2019) - [j37]Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang:
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(8): 1543-1556 (2019) - [j36]Youwei Zhuo, Jingji Chen, Gengyu Rao, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian:
Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee. ACM Trans. Comput. Syst. 37(1-4): 5:1-5:37 (2019) - [j35]Siyu Liao, Yi Xie, Xue Lin, Yanzhi Wang, Min Zhang, Bo Yuan:
Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression. IEEE Trans. Sustain. Comput. 4(2): 245-251 (2019) - [c204]Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin:
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. AAAI 2019: 5369-5376 - [c203]Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin:
ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. ASP-DAC 2019: 499-505 - [c202]Tao Liu, Nuo Xu, Qi Liu, Yanzhi Wang, Wujie Wen:
A system-level perspective to understand the vulnerability of deep learning systems. ASP-DAC 2019: 506-511 - [c201]Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang:
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS 2019: 925-938 - [c200]Zhe Yuan, Jingyu Wang, Yixiong Yang, Jinshan Yue, Zhibo Wang, Xiaoyu Feng, Yanzhi Wang, Xueqing Li, Huazhong Yang, Yongpan Liu:
A Sparse-Adaptive CNN Processor with Area/Performance balanced N-Way Set-Associate PE Arrays Assisted by a Collision-Aware Scheduler. A-SSCC 2019: 61-64 - [c199]Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen:
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. CVPR 2019: 860-868 - [c198]Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan:
Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. CVPR 2019: 2417-2426 - [c197]Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang:
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. CVPR 2019: 12687-12696 - [c196]Tao Liu, Wujie Wen, Lei Jiang, Yanzhi Wang, Chengmo Yang, Gang Quan:
A Fault-Tolerant Neural Network Architecture. DAC 2019: 55 - [c195]Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin:
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. DAC 2019: 165 - [c194]Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang:
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. FPGA 2019: 33-42 - [c193]Mengshu Sun, Pu Zhao, Yanzhi Wang, Naehyuck Chang, Xue Lin:
HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 81-86 - [c192]Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Caiwen Ding, Nobuyuki Yoshikawa, Yanzhi Wang:
A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ACM Great Lakes Symposium on VLSI 2019: 189-194 - [c191]Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang:
ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI 2019: 501-506 - [c190]Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna:
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. HiPC 2019: 195-204 - [c189]Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang:
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA 2019: 69-80 - [c188]Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang:
A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ICCD 2019: 429-436 - [c187]Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang:
Adversarial Robustness vs. Model Compression, or Both? ICCV 2019: 111-120 - [c186]Tianyun Zhang, Sijia Liu, Yanzhi Wang, Makan Fardad:
Generation of Low Distortion Adversarial Attacks via Convex Programming. ICDM 2019: 1486-1491 - [c185]Zhe Li, Xiaolong Ma, Ji Li, Qinru Qiu, Yanzhi Wang:
Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. ICESS 2019: 1-8 - [c184]Majid Sabbagh, Cheng Gongye, Yunsi Fei, Yanzhi Wang:
Evaluating Fault Resiliency of Compressed Deep Neural Networks. ICESS 2019: 1-7 - [c183]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) 2019 - [c182]Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen:
Interpreting and Evaluating Neural Network Robustness. IJCAI 2019: 4199-4205 - [c181]Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. IJCAI 2019: 6013-6019 - [c180]Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang:
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. ISCA 2019: 567-578 - [c179]Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang:
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. ISLPED 2019: 1-6 - [c178]Haowen Fang, Amar Shrestha, Ziyi Zhao, Yanzhi Wang, Qinru Qiu:
A General Framework to Map Neural Networks onto Neuromorphic Processor. ISQED 2019: 20-25 - [c177]Jinshan Yue, Ruoyang Liu, Wenyu Sun, Zhe Yuan, Zhibo Wang, Yung-Ning Tu, Yi-Ju Chen, Ao Ren, Yanzhi Wang, Meng-Fan Chang, Xueqing Li, Huazhong Yang, Yongpan Liu:
A 65nm 0.39-to-140.3TOPS/W 1-to-12b Unified Neural Network Processor Using Block-Circulant-Enabled Transpose-Domain Acceleration with 8.1 × Higher TOPS/mm2and 6T HBST-TRAM-Based 2D Data-Reuse Architecture. ISSCC 2019: 138-140 - [c176]Ruizhe Cai, Xiaolong Ma, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang:
IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ISVLSI 2019: 187-192 - [c175]Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang:
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 89-97 - [c174]Youwei Zhuo, Chao Wang, Mingxing Zhang, Rui Wang, Dimin Niu, Yanzhi Wang, Xuehai Qian:
GraphQ: Scalable PIM-Based Graph Processing. MICRO 2019: 712-725 - [c173]Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang:
ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. NANOARCH 2019: 1-2 - [c172]Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu:
Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. RTCSA 2019: 1-9 - [c171]Yilan Li, Mingyang Li, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu:
Autonomous UAV with Learned Trajectory Generation and Control. SiPS 2019: 115-120 - [i61]Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan:
CircConv: A Structured Convolution with Low Complexity. CoRR abs/1902.11268 (2019) - [i60]Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang:
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR abs/1903.09769 (2019) - [i59]Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin:
Second Rethinking of Network Pruning in the Adversarial Setting. CoRR abs/1903.12561 (2019) - [i58]Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan:
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation. CoRR abs/1904.06807 (2019) - [i57]Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang:
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. CoRR abs/1904.08487 (2019) - [i56]Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang:
ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. CoRR abs/1905.00136 (2019) - [i55]Wei Niu, Xiaolong Ma, Yanzhi Wang, Bin Ren:
26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone. CoRR abs/1905.00571 (2019) - [i54]Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang:
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. CoRR abs/1905.00789 (2019) - [i53]Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen:
Interpreting and Evaluating Neural Network Robustness. CoRR abs/1905.04270 (2019) - [i52]Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin:
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. CoRR abs/1905.12032 (2019) - [i51]Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma:
Brain-inspired reverse adversarial examples. CoRR abs/1905.12171 (2019) - [i50]Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan:
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR abs/1905.13074 (2019) - [i49]Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma:
Non-structured DNN Weight Pruning Considered Harmful. CoRR abs/1907.02124 (2019) - [i48]Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. CoRR abs/1907.03141 (2019) - [i47]Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang:
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. CoRR abs/1907.09077 (2019) - [i46]Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. CoRR abs/1908.07116 (2019) - [i45]Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang:
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. CoRR abs/1908.10017 (2019) - [i44]Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang:
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. CoRR abs/1908.11691 (2019) - [i43]Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices. CoRR abs/1909.05073 (2019) - [i42]Fu-Ming Guo, Sijia Liu, Finlay S. Mungall, Xue Lin, Yanzhi Wang:
Reweighted Proximal Pruning for Large-Scale Language Representation. CoRR abs/1909.12486 (2019) - [i41]Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang:
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. CoRR abs/1909.13396 (2019) - [i40]Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Evading Real-Time Person Detectors by Adversarial T-shirt. CoRR abs/1910.11099 (2019) - [i39]Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna:
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. CoRR abs/1910.11103 (2019) - [i38]Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang:
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. CoRR abs/1911.02007 (2019) - [i37]Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang:
DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks. CoRR abs/1911.08020 (2019) - 2018
- [j34]Caiwen Ding, Hongjia Li, Weiwei Zheng, Yanzhi Wang, Xue Lin:
Reconfigurable Photovoltaic Systems for Electric Vehicles. IEEE Des. Test 35(6): 37-43 (2018) - [j33]Yidong Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han:
An Energy-Efficient Online-Learning Stochastic Computational Deep Belief Network. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(3): 454-465 (2018) - [j32]Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu:
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 782-795 (2018) - [j31]Hongjia Li, Ruizhe Cai, Ning Liu, Xue Lin, Yanzhi Wang:
Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. Nano Commun. Networks 16: 81-90 (2018) - [j30]Ruizhe Cai, Ao Ren, Sucheta Soundarajan, Yanzhi Wang:
A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal-dual interior point method using memristor crossbars. Nano Commun. Networks 18: 62-71 (2018) - [j29]Teng Li, Zhiyuan Xu, Jian Tang, Yanzhi Wang:
Model-free Control for Distributed Stream Data Processing using Deep Reinforcement Learning. Proc. VLDB Endow. 11(6): 705-718 (2018) - [j28]Yidong Liu, Siting Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han:
A Stochastic Computational Multi-Layer Perceptron with Backward Propagation. IEEE Trans. Computers 67(9): 1273-1286 (2018) - [j27]Tiansong Cui, Ji Li, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
An Exploration of Applying Gate-Length-Biasing Techniques to Deeply-Scaled FinFETs Operating in Multiple Voltage Regimes. IEEE Trans. Emerg. Top. Comput. 6(2): 172-183 (2018) - [j26]Jaemin Kim, Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Xue Lin, Yanzhi Wang, Youngjin Cho, Sang Hyun Park, Naehyuck Chang:
Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations. IEEE Trans. Very Large Scale Integr. Syst. 26(7): 1241-1253 (2018) - [c170]Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI 2018: 4235-4243 - [c169]Pu Zhao, Yanzhi Wang, Naehyuck Chang, Qi Zhu, Xue Lin:
A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles. ASP-DAC 2018: 196-202 - [c168]Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen:
Security analysis and enhancement of model compressed deep learning systems under adversarial attacks. ASP-DAC 2018: 721-726 - [c167]Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang:
VIBNN: Hardware Acceleration of Bayesian Neural Networks. ASPLOS 2018: 476-488 - [c166]Zhengxiong Li, Aditya Singh Rathore, Chen Song, Sheng Wei, Yanzhi Wang, Wenyao Xu:
PrinTracker: Fingerprinting 3D Printers using Commodity Scanners. CCS 2018: 1306-1323 - [c165]Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan:
DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework. DAC 2018: 18:1-18:6 - [c164]Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram:
FFT-based deep learning deployment in embedded systems. DATE 2018: 1045-1050 - [c163]Yidong Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han:
An energy-efficient stochastic computational deep belief network. DATE 2018: 1175-1178 - [c162]Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang:
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. ECCV (8) 2018: 191-207 - [c161]Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang, Yun Liang:
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. FPGA 2018: 11-20 - [c160]Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin:
Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. GlobalSIP 2018: 1169-1173 - [c159]Caiwen Ding, Ao Ren, Geng Yuan, Xiaolong Ma, Jiayu Li, Ning Liu, Bo Yuan, Yanzhi Wang:
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. ACM Great Lakes Symposium on VLSI 2018: 353-358 - [c158]Avesta Sasan, Qi Zhu, Yanzhi Wang, Jae-sun Seo, Tinoosh Mohsenin:
Low Power and Trusted Machine Learning. ACM Great Lakes Symposium on VLSI 2018: 515 - [c157]Massoud Pedram, Yanzhi Wang:
Design automation methodology and tools for superconductive electronics. ICCAD 2018: 110:1-110:6 - [c156]Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang:
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. ICLR (Workshop) 2018 - [c155]Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad:
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. ICLR (Workshop) 2018 - [c154]Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu:
Learning Topics Using Semantic Locality. ICPR 2018: 3710-3715 - [c153]Zhiyuan Xu, Jian Tang, Jingsong Meng, Weiyi Zhang, Yanzhi Wang, Chi Harold Liu, Dejun Yang:
Experience-driven Networking: A Deep Reinforcement Learning based Approach. INFOCOM 2018: 1871-1879 - [c152]Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang:
An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing. ISQED 2018: 314-321 - [c151]Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang:
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. ISVLSI 2018: 28-33 - [c150]Chenghong Wang, Zeinab S. Jalali, Caiwen Ding, Yanzhi Wang, Sucheta Soundarajan:
A Fast and Effective Memristor-Based Method for Finding Approximate Eigenvalues and Eigenvectors of Non-negative Matrices. ISVLSI 2018: 563-568 - [c149]Youwei Zhuo, Jinglei Cheng, Qinyi Luo, Jidong Zhai, Yanzhi Wang, Zhongzhi Luan, Xuehai Qian:
CSE: Parallel Finite State Machines with Convergence Set Enumeration. MICRO 2018: 29-41 - [c148]Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin:
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. ACM Multimedia 2018: 1065-1073 - [i36]Zhiyuan Xu, Jian Tang, Jingsong Meng, Weiyi Zhang, Yanzhi Wang, Chi Harold Liu, Dejun Yang:
Experience-driven Networking: A Deep Reinforcement Learning based Approach. CoRR abs/1801.05757 (2018) - [i35]Ning Liu, Ying Liu, Brent Logan, Zhiyuan Xu, Jian Tang, Yanzhi Wang:
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data. CoRR abs/1801.09271 (2018) - [i34]Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang:
VIBNN: Hardware Acceleration of Bayesian Neural Networks. CoRR abs/1802.00822 (2018) - [i33]Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang:
Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems. CoRR abs/1802.00824 (2018) - [i32]Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang:
An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing. CoRR abs/1802.01016 (2018) - [i31]Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen:
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks. CoRR abs/1802.05193 (2018) - [i30]Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad:
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers. CoRR abs/1802.05747 (2018) - [i29]Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR abs/1802.06402 (2018) - [i28]Teng Li, Zhiyuan Xu, Jian Tang, Yanzhi Wang:
Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning. CoRR abs/1803.01016 (2018) - [i27]Yanzhi Wang, Zheng Zhan, Jiayu Li, Jian Tang, Bo Yuan, Liang Zhao, Wujie Wen, Siyue Wang, Xue Lin:
On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks. CoRR abs/1803.05391 (2018) - [i26]Zihao Liu, Qi Liu, Tao Liu, Yanzhi Wang, Wujie Wen:
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. CoRR abs/1803.05787 (2018) - [i25]Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan:
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework. CoRR abs/1803.05788 (2018) - [i24]Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Yanzhi Wang, Qinru Qiu, Yun Liang:
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. CoRR abs/1803.06305 (2018) - [i23]Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang:
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. CoRR abs/1803.07661 (2018) - [i22]Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin:
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. CoRR abs/1804.03193 (2018) - [i21]Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang:
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers. CoRR abs/1804.03294 (2018) - [i20]Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu:
Learning Topics using Semantic Locality. CoRR abs/1804.04205 (2018) - [i19]Caiwen Ding, Ao Ren, Geng Yuan, Xiaolong Ma, Jiayu Li, Ning Liu, Bo Yuan, Yanzhi Wang:
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. CoRR abs/1804.11239 (2018) - [i18]Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang:
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing. CoRR abs/1805.04142 (2018) - [i17]Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen:
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients. CoRR abs/1805.09370 (2018) - [i16]Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang:
Adversarial Meta-Learning. CoRR abs/1806.03316 (2018) - [i15]Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang:
ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. CoRR abs/1807.11091 (2018) - [i14]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. CoRR abs/1808.01664 (2018) - [i13]Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen:
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space. CoRR abs/1810.00144 (2018) - [i12]Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang:
Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR abs/1810.07378 (2018) - [i11]Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang:
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. CoRR abs/1811.01907 (2018) - [i10]Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang:
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. CoRR abs/1812.07106 (2018) - [i9]Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang:
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR abs/1812.11677 (2018) - 2017
- [j25]Yuanyan Xiong, Xiaowei Xie, Yanzhi Wang, Wenbin Ma, Puping Liang, Songyang Zhou, Zhiming Dai:
pgRNAFinder: a web-based tool to design distance independent paired-gRNA. Bioinform. 33(22): 3642-3644 (2017) - [j24]Caiwen Ding, Ning Liu, Yanzhi Wang, Ji Li, Soroush Heidari, Jingtong Hu, Yongpan Liu:
Multisource Indoor Energy Harvesting for Nonvolatile Processors. IEEE Des. Test 34(3): 42-49 (2017) - [j23]Pu Zhao, Xue Lin, Yanzhi Wang, Shuang Chen, Massoud Pedram:
Hierarchical resource allocation and consolidation framework in a multi-core server cluster using a Markov decision process model. IET Cyper-Phys. Syst.: Theory & Appl. 2(3): 118-126 (2017) - [j22]Tiansong Cui, Shuang Chen, Yanzhi Wang, Qi Zhu, Shahin Nazarian, Massoud Pedram:
An optimal energy co-scheduling framework for smart buildings. Integr. 58: 528-537 (2017) - [j21]Yi Xie, Siyu Liao, Bo Yuan, Yanzhi Wang, Zhongfeng Wang:
Fully-Parallel Area-Efficient Deep Neural Network Design Using Stochastic Computing. IEEE Trans. Circuits Syst. II Express Briefs 64-II(12): 1382-1386 (2017) - [j20]Tiansong Cui, Shuang Chen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Optimal Control of PEVs with a Charging Aggregator Considering Regulation Service Provisioning. ACM Trans. Cyber Phys. Syst. 1(4): 23:1-23:23 (2017) - [j19]Woojoo Lee, Kyuseung Han, Yanzhi Wang, Tiansong Cui, Shahin Nazarian, Massoud Pedram:
TEI-power: Temperature Effect Inversion-Aware Dynamic Thermal Management. ACM Trans. Design Autom. Electr. Syst. 22(3): 51:1-51:25 (2017) - [c147]Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang:
Towards acceleration of deep convolutional neural networks using stochastic computing. ASP-DAC 2017: 115-120 - [c146]Caiwen Ding, Ji Li, Weiwei Zheng, Naehyuck Chang, Xue Lin, Yanzhi Wang:
Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. ASP-DAC 2017: 318-323 - [c145]Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang:
Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems. ASP-DAC 2017: 788-793 - [c144]Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan:
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. ASPLOS 2017: 405-418 - [c143]Tianshu Wei, Yanzhi Wang, Qi Zhu:
Deep Reinforcement Learning for Building HVAC Control. DAC 2017: 22:1-22:6 - [c142]Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang:
Structural design optimization for deep convolutional neural networks using stochastic computing. DATE 2017: 250-253 - [c141]Huimei Cheng, Ji Li, Jeffrey T. Draper, Shahin Nazarian, Yanzhi Wang:
Deadline-Aware Joint Optimization of Sleep Transistor and Supply Voltage for FinFET Based Embedded Systems. ACM Great Lakes Symposium on VLSI 2017: 427-430 - [c140]Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, Yanzhi Wang:
Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI 2017: 467-470 - [c139]Sijia Liu, Ao Ren, Yanzhi Wang, Pramod K. Varshney:
Ultra-fast robust compressive sensing based on memristor crossbars. ICASSP 2017: 1133-1137 - [c138]Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jing Wang, Mustafa Cenk Gursoy:
A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs. ICC 2017: 1-6 - [c137]Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan:
Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. ICCAD 2017: 458-465 - [c136]Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu:
A spike-based long short-term memory on a neurosynaptic processor. ICCAD 2017: 631-637 - [c135]Hongjia Li, Tianshu Wei, Ao Ren, Qi Zhu, Yanzhi Wang:
Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper. ICCAD 2017: 847-854 - [c134]Ruizhe Cai, Ao Ren, Luhao Wang, Massoud Pedram, Yanzhi Wang:
Hardware Acceleration of Bayesian Neural Networks Using RAM Based Linear Feedback Gaussian Random Number Generators. ICCD 2017: 289-296 - [c133]Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang:
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. ICDCS 2017: 372-382 - [c132]Ying Liu, Brent Logan, Ning Liu, Zhiyuan Xu, Jian Tang, Yanzhi Wang:
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data. ICHI 2017: 380-385 - [c131]Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan:
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. ICML 2017: 4082-4090 - [c130]Yao Jiang, Tiemin Li, Liping Wang, Feifan Chen, Yanzhi Wang:
Improving contour accuracy of a 2-DOF planar parallel kinematic machine by smart structure based compensation method. ICRA 2017: 6066-6072 - [c129]Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang:
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. IJCNN 2017: 1230-1236 - [c128]Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu:
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. IJCNN 2017: 1999-2006 - [c127]Jing Wang, Jian Tang, Zhiyuan Xu, Yanzhi Wang, Guoliang Xue, Xing Zhang, Dejun Yang:
Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach. INFOCOM 2017: 1-9 - [c126]Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Jaemin Kim, Xue Lin, Yanzhi Wang, Naehyuck Chang:
Reconfigurable thermoelectric generators for vehicle radiators energy harvesting. ISLPED 2017: 1-6 - [c125]Hongjia Li, Ji Li, Wang Yao, Shahin Nazarian, Xue Lin, Yanzhi Wang:
Fast and energy-aware resource provisioning and task scheduling for cloud systems. ISQED 2017: 174-179 - [c124]Ning Liu, Xue Lin, Yanzhi Wang:
Data center power management for regulation service using neural network-based power prediction. ISQED 2017: 367-372 - [c123]Chen Pan, Mimi Xie, Yongpan Liu, Yanzhi Wang, Chun Jason Xue, Yuangang Wang, Yiran Chen, Jingtong Hu:
A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvesting. LCTES 2017: 101-110 - [c122]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 2017: 395-408 - [c121]Geng Yuan, Caiwen Ding, Ruizhe Cai, Xiaolong Ma, Ziyi Zhao, Ao Ren, Bo Yuan, Yanzhi Wang:
Memristor crossbar-based ultra-efficient next-generation baseband processors. MWSCAS 2017: 1121-1124 - [i8]Liang Zhao, Siyu Liao, Yanzhi Wang, Jian Tang, Bo Yuan:
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. CoRR abs/1703.00144 (2017) - [i7]Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang:
Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks. CoRR abs/1703.04135 (2017) - [i6]Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang:
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. CoRR abs/1703.04221 (2017) - [i5]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR abs/1708.08917 (2017) - [i4]Hongjia Li, Tianshu Wei, Ao Ren, Qi Zhu, Yanzhi Wang:
Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations. CoRR abs/1710.03792 (2017) - [i3]Sijia Liu, Yanzhi Wang, Makan Fardad, Pramod K. Varshney:
A Memristor-Based Optimization Framework for AI Applications. CoRR abs/1710.08882 (2017) - [i2]Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram:
FFT-Based Deep Learning Deployment in Embedded Systems. CoRR abs/1712.04910 (2017) - 2016
- [j18]Xiushan Wu, Yanzhi Wang, Siguang An, Jianqiang Han, Ling Sun:
A Four Quadrature Signals' Generator with Precise Phase Adjustment. J. Electr. Comput. Eng. 2016: 2138794:1-2138794:6 (2016) - [j17]Yanzhi Wang, Massoud Pedram:
Model-Free Reinforcement Learning and Bayesian Classification in System-Level Power Management. IEEE Trans. Computers 65(12): 3713-3726 (2016) - [j16]Xue Lin, Yanzhi Wang, Naehyuck Chang, Massoud Pedram:
Concurrent Task Scheduling and Dynamic Voltage and Frequency Scaling in a Real-Time Embedded System With Energy Harvesting. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(11): 1890-1902 (2016) - [j15]Bo Yuan, Yanzhi Wang, Zhongfeng Wang:
Area-Efficient Scaling-Free DFT/FFT Design Using Stochastic Computing. IEEE Trans. Circuits Syst. II Express Briefs 63-II(12): 1131-1135 (2016) - [c120]Xue Lin, Massoud Pedram, Jian Tang, Yanzhi Wang:
A Profit Optimization Framework of Energy Storage Devices in Data Centers: Hierarchical Structure and Hybrid Types. CLOUD 2016: 640-647 - [c119]Tiansong Cui, Shuang Chen, Yanzhi Wang, Qi Zhu, Shahin Nazarian, Massoud Pedram:
Optimal co-scheduling of HVAC control and battery management for energy-efficient buildings considering state-of-health degradation. ASP-DAC 2016: 775-780 - [c118]Sijia Liu, Yanzhi Wang, Makan Fardad, Pramod K. Varshney:
Optimal energy allocation and storage control for distributed estimation with sensor collaboration. CISS 2016: 42-47 - [c117]Nianxia Cao, Yanzhi Wang, Swastik Brahma, Pramod K. Varshney:
Charging state aware optimal auction design for sensor selection in crowdsourcing based sensor networks. FUSION 2016: 626-633 - [c116]Bo Yuan, Yanzhi Wang, Zhongfeng Wang:
Area-Efficient Error-Resilient Discrete Fourier Transformation Design using Stochastic Computing. ACM Great Lakes Symposium on VLSI 2016: 33-38 - [c115]Ning Liu, Caiwen Ding, Yanzhi Wang, Jingtong Hu:
Neural Network-based Prediction Algorithms for In-Door Multi-Source Energy Harvesting System for Non-Volatile Processors. ACM Great Lakes Symposium on VLSI 2016: 275-280 - [c114]Xue Lin, Yanzhi Wang, Massoud Pedram:
A Reinforcement Learning-Based Power Management Framework for Green Computing Data Centers. IC2E 2016: 135-138 - [c113]Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram:
Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. ICCD 2016: 241-248 - [c112]Caiwen Ding, Hongjia Li, Weiwei Zheng, Yanzhi Wang, Naehyuck Chang, Xue Lin:
Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles. ICCD 2016: 281-288 - [c111]Caiwen Ding, Hongjia Li, Jingtong Hu, Yongpan Liu, Yanzhi Wang:
Dynamic converter reconfiguration for near-threshold non-volatile processors using in-door energy harvesting. ICCD 2016: 289-295 - [c110]Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan:
DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. ICCD 2016: 678-681 - [c109]Ao Ren, Zhe Li, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Designing reconfigurable large-scale deep learning systems using stochastic computing. ICRC 2016: 1-7 - [c108]Caiwen Ding, Soroush Heidari, Yanzhi Wang, Yongpan Liu, Jingtong Hu:
Multi-source in-door energy harvesting for non-volatile processors. ISCAS 2016: 173-176 - [c107]Bo Yuan, Yanzhi Wang, Zhongfeng Wang:
Area-efficient scaling-free DFT/FFT design using stochastic computing. ISCAS 2016: 2904 - [c106]Alireza Shafaei, Yanzhi Wang, Lizhong Chen, Shuang Chen, Massoud Pedram:
Maximizing the performance of NoC-based MPSoCs under total power and power density constraints. ISQED 2016: 49-56 - [c105]Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Negotiation-based resource provisioning and task scheduling algorithm for cloud systems. ISQED 2016: 338-343 - [c104]Bo Yuan, Yanzhi Wang:
High-Accuracy FIR Filter Design Using Stochastic Computing. ISVLSI 2016: 128-133 - [c103]Khadeer Ahmed, Amar Shrestha, Yanzhi Wang, Qinru Qiu:
System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference. ISVLSI 2016: 272-277 - [c102]Ruizhe Cai, Ao Ren, Yanzhi Wang, Bo Yuan:
Memristor-Based Discrete Fourier Transform for Improving Performance and Energy Efficiency. ISVLSI 2016: 643-648 - [c101]Luhao Wang, Tiansong Cui, Shahin Nazarian, Yanzhi Wang, Massoud Pedram:
Standard cell library based layout characterization and power analysis for 10nm gate-all-around (GAA) transistors. SoCC 2016: 253-258 - [c100]Ao Ren, Bo Yuan, Yanzhi Wang:
Design of high-speed low-power polar BP decoder using emerging technologies. SoCC 2016: 312-316 - [c99]Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan:
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. SoCC 2016: 317-322 - [c98]Ning Guan, Yanzhi Wang, Hua Wang:
Properness-based blind mitigation of feedback impairments in digital pre-distortion system. WCSP 2016: 1-5 - [i1]Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang:
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. CoRR abs/1611.05939 (2016) - 2015
- [j14]Maryam Triki, Yanzhi Wang, Ahmed Chiheb Ammari, Massoud Pedram:
Hierarchical power management of a system with autonomously power-managed components using reinforcement learning. Integr. 48: 10-20 (2015) - [j13]Woojoo Lee, Yanzhi Wang, Massoud Pedram:
Optimizing a Reconfigurable Power Distribution Network in a Multicore Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(7): 1110-1123 (2015) - [j12]Qing Xie, Xue Lin, Yanzhi Wang, Shuang Chen, Mohammad Javad Dousti, Massoud Pedram:
Performance Comparisons Between 7-nm FinFET and Conventional Bulk CMOS Standard Cell Libraries. IEEE Trans. Circuits Syst. II Express Briefs 62-II(8): 761-765 (2015) - [j11]Xue Lin, Yanzhi Wang, Qing Xie, Massoud Pedram:
Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment. IEEE Trans. Serv. Comput. 8(2): 175-186 (2015) - [c97]Shuang Chen, Yanzhi Wang, Massoud Pedram:
A Joint Optimization Framework for Request Scheduling and Energy Storage Management in a Data Center. CLOUD 2015: 163-170 - [c96]Shuo Wang, Yanzhi Wang, Xue Lin, Massoud Pedram:
Hierarchical Deployment and Control of Energy Storage Devices in Data Centers. CLOUD 2015: 805-812 - [c95]Alireza Shafaei, Shuang Chen, Yanzhi Wang, Massoud Pedram:
A cross-layer framework for designing and optimizing deeply-scaled FinFET-based SRAM cells under process variations. ASP-DAC 2015: 75-80 - [c94]Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices. ASP-DAC 2015: 261-266 - [c93]Chenxiao Guan, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Reinforcement learning-based control of residential energy storage systems for electric bill minimization. CCNC 2015: 637-642 - [c92]Tiansong Cui, Yanzhi Wang, Shuang Chen, Qi Zhu, Shahin Nazarian, Massoud Pedram:
Optimal control of PEVs for energy cost minimization and frequency regulation in the smart grid accounting for battery state-of-health degradation. DAC 2015: 134:1-134:6 - [c91]Yanzhi Wang, Xue Lin, Massoud Pedram, Naehyuck Chang:
Joint automatic control of the powertrain and auxiliary systems to enhance the electromobility in hybrid electric vehicles. DAC 2015: 147:1-147:6 - [c90]Xue Lin, Yanzhi Wang, Massoud Pedram, Jaemin Kim, Naehyuck Chang:
Event-driven and sensorless photovoltaic system reconfiguration for electric vehicles. DATE 2015: 19-24 - [c89]Ji Li, Qing Xie, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Leakage power reduction for deeply-scaled FinFET circuits operating in multiple voltage regimes using fine-grained gate-length biasing technique. DATE 2015: 1579-1582 - [c88]Qing Xie, Younghyun Kim, Donkyu Baek, Yanzhi Wang, Massoud Pedram, Naehyuck Chang:
Efficiency-driven design time optimization of a hybrid energy storage system with networked charge transfer interconnect. DATE 2015: 1607-1610 - [c87]Tiansong Cui, Bowen Chen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Layout Characterization and Power Density Analysis for Shorted-Gate and Independent-Gate 7nm FinFET Standard Cells. ACM Great Lakes Symposium on VLSI 2015: 33-38 - [c86]Alireza Shafaei Bejestan, Yanzhi Wang, Srikanth Ramadurgam, Yuankun Xue, Paul Bogdan, Massoud Pedram:
Analyzing the Dark Silicon Phenomenon in a Many-Core Chip Multi-Processor under Deeply-Scaled Process Technologies. ACM Great Lakes Symposium on VLSI 2015: 127-132 - [c85]Soroush Heidari, Caiwen Ding, Yongpan Liu, Yanzhi Wang, Jingtong Hu:
Multi-source energy harvesting management and optimization for non-volatile processors. IGSC 2015: 1-2 - [c84]Woojoo Lee, Yanzhi Wang, Donghwa Shin, Shahin Nazarian, Massoud Pedram:
Design and optimization of a reconfigurable power delivery network for large-area, DVS-enabled OLED displays. ISLPED 2015: 159-164 - [c83]Donghwa Shin, Naehyuck Chang, Yanzhi Wang, Massoud Pedram:
Reconfigurable three dimensional photovoltaic panel architecture for solar-powered time extension. ISLPED 2015: 273-278 - [c82]Mohammad Saeed Abrishami, Alireza Shafaei, Yanzhi Wang, Massoud Pedram:
Optimal choice of FinFET devices for energy minimization in deeply-scaled technologies. ISQED 2015: 234-238 - [c81]Alireza Shafaei, Yanzhi Wang, Antonio Petraglia, Massoud Pedram:
Design optimization of sense amplifiers using deeply-scaled FinFET devices. ISQED 2015: 280-283 - [c80]Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram:
Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model. Intelligent Vehicles Symposium 2015: 718-723 - 2014
- [j10]Xue Lin, Yanzhi Wang, Massoud Pedram, Jaemin Kim, Naehyuck Chang:
Designing Fault-Tolerant Photovoltaic Systems. IEEE Des. Test 31(3): 76-84 (2014) - [j9]Qing Xie, Yanzhi Wang, Massoud Pedram:
Designing soft-edge flip-flop-based linear pipelines operating in multiple supply voltage regimes. Integr. 47(3): 318-328 (2014) - [j8]Woojoo Lee, Yanzhi Wang, Donghwa Shin, Naehyuck Chang, Massoud Pedram:
Optimizing the Power Delivery Network in a Smartphone Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(1): 36-49 (2014) - [j7]Yanzhi Wang, Xue Lin, Younghyun Kim, Naehyuck Chang, Massoud Pedram:
Architecture and Control Algorithms for Combating Partial Shading in Photovoltaic Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(6): 917-930 (2014) - [j6]Yanzhi Wang, Xue Lin, Massoud Pedram:
Adaptive Control for Energy Storage Systems in Households With Photovoltaic Modules. IEEE Trans. Smart Grid 5(2): 992-1001 (2014) - [j5]Yanzhi Wang, Xue Lin, Younghyun Kim, Qing Xie, Massoud Pedram, Naehyuck Chang:
Single-Source, Single-Destination Charge Migration in Hybrid Electrical Energy Storage Systems. IEEE Trans. Very Large Scale Integr. Syst. 22(12): 2752-2765 (2014) - [c79]Xue Lin, Yanzhi Wang, Qing Xie, Massoud Pedram:
Energy and Performance-Aware Task Scheduling in a Mobile Cloud Computing Environment. IEEE CLOUD 2014: 192-199 - [c78]Tiansong Cui, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Semi-analytical current source modeling of FinFET devices operating in near/sub-threshold regime with independent gate control and considering process variation. ASP-DAC 2014: 167-172 - [c77]Shuang Chen, Mahboobeh Ghorbani, Yanzhi Wang, Paul Bogdan, Massoud Pedram:
Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique. BigData Congress 2014: 733-739 - [c76]Mahboobeh Ghorbani, Yanzhi Wang, Yuankun Xue, Massoud Pedram, Paul Bogdan:
Prediction and control of bursty cloud workloads: A fractal framework. CODES+ISSS 2014: 12:1-12:9 - [c75]Di Zhu, Siyu Yue, Sangyoung Park, Yanzhi Wang, Naehyuck Chang, Massoud Pedram:
Cost-effective design of a hybrid electrical energy storage system for electric vehicles. CODES+ISSS 2014: 31:1-31:8 - [c74]Shuang Chen, Yanzhi Wang, Massoud Pedram:
Concurrent placement, capacity provisioning, and request flow control for a distributed cloud infrastructure. DATE 2014: 1-6 - [c73]Yue Gao, Sandeep K. Gupta, Yanzhi Wang, Massoud Pedram:
An energy-aware fault tolerant scheduling framework for soft error resilient cloud computing systems. DATE 2014: 1-6 - [c72]Kitae Kim, Donghwa Shin, Qing Xie, Yanzhi Wang, Massoud Pedram, Naehyuck Chang:
FEPMA: Fine-grained event-driven power meter for android smartphones based on device driver layer event monitoring. DATE 2014: 1-6 - [c71]Woojoo Lee, Yanzhi Wang, Massoud Pedram:
VRCon: Dynamic reconfiguration of voltage regulators in a multicore platform. DATE 2014: 1-6 - [c70]Yanzhi Wang, Xue Lin, Qing Xie, Naehyuck Chang, Massoud Pedram:
Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles. DATE 2014: 1-4 - [c69]Di Zhu, Yanzhi Wang, Naehyuck Chang, Massoud Pedram:
Optimal design and management of a smart residential PV and energy storage system. DATE 2014: 1-6 - [c68]Yue Fu, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Energy optimal sizing of FinFET standard cells operating in multiple voltage regimes using adaptive independent gate control. ACM Great Lakes Symposium on VLSI 2014: 73-74 - [c67]Yanzhi Wang, Xue Lin, Massoud Pedram:
Optimal power switch design methodology for ultra dynamic voltage scaling with a limited number of power rails. ACM Great Lakes Symposium on VLSI 2014: 323-328 - [c66]Tiansong Cui, Qing Xie, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
7nm FinFET standard cell layout characterization and power density prediction in near- and super-threshold voltage regimes. IGCC 2014: 1-7 - [c65]Majid Ghasemi-Gol, Yanzhi Wang, Massoud Pedram:
An optimization framework for data centers to minimize electric bill under day-ahead dynamic energy prices while providing regulation services. IGCC 2014: 1-9 - [c64]Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram:
Reinforcement learning based power management for hybrid electric vehicles. ICCAD 2014: 32-38 - [c63]