Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBei Yu 0001
Person information
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- affiliation (PhD 2014): University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA
Other persons with the same name
- Bei Yu — disambiguation page
- Bei Yu 0002
![[0000-0001-5425-0011]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5425-0011")
— Syracuse University, School of Information Studies, NY, USA (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j75]Ulf Schlichtmann, Bing Li, Bei Yu, Raviv Gal:
Guest Editors' Introduction: Special Issue on Machine Learning for CAD/EDA. IEEE Des. Test 40(1): 5-7 (2023)- [j74]Tinghuan Chen, Grace Li Zhang, Bei Yu, Bing Li, Ulf Schlichtmann:
Machine Learning in Advanced IC Design: A Methodological Survey. IEEE Des. Test 40(1): 17-33 (2023) - [j73]Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia:
Adaptive Perspective Distillation for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1372-1387 (2023) - [j72]Yilun Chen, Shijia Huang, Shu Liu, Bei Yu, Jiaya Jia:
DSGN++: Exploiting Visual-Spatial Relation for Stereo-Based 3D Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4416-4429 (2023) - [j71]Qi Xu, Junpeng Wang, Bo Yuan, Qi Sun, Song Chen, Bei Yu, Yi Kang, Feng Wu:
Reliability-Driven Memristive Crossbar Design in Neuromorphic Computing Systems. IEEE Trans Autom. Sci. Eng. 20(1): 74-87 (2023) - [j70]Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu:
PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 178-189 (2023) - [j69]Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu:
McPAT-Calib: A RISC-V BOOM Microarchitecture Power Modeling Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 243-256 (2023) - [j68]Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu:
A GPU-Enabled Level-Set Method for Mask Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(2): 594-605 (2023) - [j67]Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao:
A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1199-1211 (2023) - [c133]Jianwang Zhai, Yici Cai, Bei Yu:
Microarchitecture Power Modeling via Artificial Neural Network and Transfer Learning. ASP-DAC 2023: 302-307 - [c132]Hao Geng, Qi Sun, Tinghuan Chen, Qi Xu, Tsung-Yi Ho, Bei Yu:
Mixed-Type Wafer Failure Pattern Recognition. ASP-DAC 2023: 727-732 - [i52]Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. CoRR abs/2303.08435 (2023) - [i51]Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu:
DevelSet: Deep Neural Level Set for Instant Mask Optimization. CoRR abs/2303.12529 (2023) - [i50]Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns. CoRR abs/2303.12723 (2023) - [i49]Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu:
DiffPattern: Layout Pattern Generation via Discrete Diffusion. CoRR abs/2303.13060 (2023) - [i48]Guojin Chen, Haoyu Yang, Bei Yu:
GPU-accelerated Matrix Cover Algorithm for Multiple Patterning Layout Decomposition. CoRR abs/2303.14335 (2023) - [i47]Xinyun Zhang, Haochen Tan, Han Wu, Mingjie Zhan, Ding Liang, Bei Yu:
Towards Versatile and Efficient Visual Knowledge Injection into Pre-trained Language Models with Cross-Modal Adapters. CoRR abs/2305.07358 (2023) - [i46]Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Decoupled Kullback-Leibler Divergence Loss. CoRR abs/2305.13948 (2023) - 2022
- [j66]Haocheng Li, Wing-Kai Chow, Gengjie Chen, Bei Yu, Evangeline F. Y. Young:
Pin-Accessible Legalization for Mixed-Cell-Height Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 143-154 (2022) - [j65]Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Fan Yang, Xuan Zeng, Bei Yu:
Faster Region-Based Hotspot Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 669-680 (2022) - [j64]Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu:
Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 709-722 (2022) - [j63]Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu:
Deep H-GCN: Fast Analog IC Aging-Induced Degradation Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(7): 1990-2003 (2022) - [j62]Hao Geng, Yuzhe Ma, Qi Xu, Jin Miao, Subhendu Roy, Bei Yu:
High-Speed Adder Design Space Exploration via Graph Neural Processes. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2657-2670 (2022) - [j61]Bentian Jiang, Lixin Liu, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
Neural-ILT 2.0: Migrating ILT to Domain-Specific and Multitask-Enabled Neural Network. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2671-2684 (2022) - [j60]Hao Geng, Haoyu Yang, Lu Zhang, Fan Yang, Xuan Zeng, Bei Yu:
Hotspot Detection via Attention-Based Deep Layout Metric Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2685-2698 (2022) - [j59]Guojin Chen, Wanli Chen, Qi Sun, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full-Chip Scale. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 3118-3131 (2022) - [j58]Martin Rapp, Hussam Amrouch, Yibo Lin, Bei Yu, David Z. Pan, Marilyn Wolf, Jörg Henkel:
MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3162-3181 (2022) - [j57]Qi Xu, Hao Geng, Tianming Ni, Song Chen, Bei Yu, Yi Kang, Xiaoqing Wen:
Fortune: A New Fault-Tolerance TSV Configuration in Router-Based Redundancy Structure. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3182-3187 (2022) - [j56]Xiaodong Wang, Changhao Yan, Yuzhe Ma, Bei Yu, Fan Yang, Dian Zhou, Xuan Zeng:
Analog Circuit Yield Optimization via Freeze-Thaw Bayesian Optimization Technique. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4887-4900 (2022) - [j55]Wei Li, Yuzhe Ma, Yibo Lin, Bei Yu:
Adaptive Layout Decomposition With Graph Embedding Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 5030-5042 (2022) - [j54]Qi Sun, Xufeng Yao, Arjun Ashok Rao, Bei Yu, Shiyan Hu:
Counteracting Adversarial Attacks in Autonomous Driving. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5193-5206 (2022) - [j53]Tinghuan Chen, Bin Duan, Qi Sun, Meng Zhang, Guoqing Li, Hao Geng, Qianru Zhang, Bei Yu:
An Efficient Sharing Grouped Convolution via Bayesian Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7367-7379 (2022) - [j52]Qi Sun, Tinghuan Chen, Siting Liu, Jianli Chen, Hao Yu, Bei Yu:
Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design. ACM Trans. Design Autom. Electr. Syst. 27(4): 31:1-31:27 (2022) - [j51]Yiyang Jiang, Fan Yang, Bei Yu, Dian Zhou, Xuan Zeng:
Efficient Layout Hotspot Detection via Neural Architecture Search. ACM Trans. Design Autom. Electr. Syst. 27(6): 62:1-62:16 (2022) - [c131]Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu:
Context-Based Contrastive Learning for Scene Text Recognition. AAAI 2022: 3353-3361 - [c130]Hao Geng, Tinghuan Chen, Qi Sun, Bei Yu:
Techniques for CAD Tool Parameter Auto-tuning in Physical Synthesis: A Survey (Invited Paper). ASP-DAC 2022: 635-640 - [c129]Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu:
PCL: Proxy-based Contrastive Learning for Domain Generalization. CVPR 2022: 7087-7097 - [c128]Ziyi Wang, Chen Bai, Zhuolun He, Guangliang Zhang, Qiang Xu, Tsung-Yi Ho, Bei Yu, Yu Huang:
Functionality matters in netlist representation learning. DAC 2022: 61-66 - [c127]Mingjun Li, Jianlei Yang, Yingjie Qi, Meng Dong, Yuhao Yang, Runze Liu, Weitao Pan, Bei Yu, Weisheng Zhao:
Eventor: an efficient event-based monocular multi-view stereo accelerator on FPGA platform. DAC 2022: 331-336 - [c126]Qi Sun, Xinyun Zhang, Hao Geng, Yuxuan Zhao, Yang Bai, Haisheng Zheng, Bei Yu:
GTuner: tuning DNN computations on GPU via graph attention network. DAC 2022: 1045-1050 - [c125]Hao Geng, Qi Xu, Tsung-Yi Ho, Bei Yu:
PPATuner: pareto-driven tool parameter auto-tuning in physical design via gaussian process transfer learning. DAC 2022: 1237-1242 - [c124]Siting Liu, Peiyu Liao, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu:
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler. DATE 2022: 760-765 - [c123]Zhen Zhuang, Genggeng Liu, Tsung-Yi Ho, Bei Yu, Wenzhong Guo:
TRADER: A Practical Track-Assignment-Based Detailed Router. DATE 2022: 766-771 - [c122]Haoyu Yang, Kit Fung, Yuxuan Zhao, Yibo Lin, Bei Yu:
Mixed-Cell-Height Legalization on CPU-GPU Heterogeneous Systems. DATE 2022: 784-789 - [c121]Peiyu Liao, Siting Liu, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu:
DREAMPlace 4.0: Timing-driven Global Placement with Momentum-based Net Weighting. DATE 2022: 939-944 - [c120]Shuyuan Sun, Yiyang Jiang, Fan Yang, Bei Yu, Xuan Zeng:
Efficient Hotspot Detection via Graph Neural Network. DATE 2022: 1233-1238 - [c119]Wanli Chen, Xinge Zhu, Guojin Chen, Bei Yu:
Efficient Point Cloud Analysis Using Hilbert Curve. ECCV (2) 2022: 730-747 - [c118]Zhuolun He, Yuzhe Ma, Bei Yu:
X-Check: CPU-Accelerated Design Rule Checking via Parallel Sweepline Algorithms. ICCAD 2022: 52 - [c117]Zhen Zhuang, Bei Yu, Kai-Yuan Chao, Tsung-Yi Ho:
Multi-Package Co-Design for Chiplet Integration. ICCAD 2022: 114 - [c116]Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
AdaOPC: A Self-Adaptive Mask Optimization Framework for Real Design Patterns. ICCAD 2022: 123 - [c115]Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu:
LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. ICCAD 2022: 124 - [c114]Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin D. F. Wong:
Efficient Design Rule Checking Script Generation via Key Information Extraction. MLCAD 2022: 77-82 - [i45]Yilun Chen, Shijia Huang, Shu Liu, Bei Yu, Jiaya Jia:
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors. CoRR abs/2204.03039 (2022) - [i44]Xiaogang Xu, Yitong Yu, Nianjuan Jiang, Jiangbo Lu, Bei Yu, Jiaya Jia:
PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes. CoRR abs/2207.01356 (2022) - [i43]Wei Li, Ruxuan Li, Yuzhe Ma, Siu On Chan, David Z. Pan, Bei Yu:
Rethinking Graph Neural Networks for the Graph Coloring Problem. CoRR abs/2208.06975 (2022) - [i42]Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia:
Generalized Parametric Contrastive Learning. CoRR abs/2209.12400 (2022) - [i41]Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie:
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. CoRR abs/2210.16691 (2022) - 2021
- [j50]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI mask optimization: From shallow to deep learning. Integr. 77: 96-103 (2021) - [j49]Xiaowei Xu, Xinyi Zhang, Bei Yu, Xiaobo Sharon Hu, Christopher Rowen, Jingtong Hu, Yiyu Shi:
DAC-SDC Low Power Object Detection Challenge for UAV Applications. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 392-403 (2021) - [j48]Tinghuan Chen, Bingqing Lin, Hao Geng, Shiyan Hu, Bei Yu:
Leveraging Spatial Correlation for Sensor Drift Calibration in Smart Building. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(7): 1273-1286 (2021) - [j47]Haoyu Yang, Shuhe Li, Cyrus Tabery, Bingqing Lin, Bei Yu:
Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(7): 1464-1475 (2021) - [j46]Yiyang Jiang, Fan Yang, Bei Yu, Dian Zhou, Xuan Zeng:
Efficient Layout Hotspot Detection via Binarized Residual Neural Network Ensemble. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(7): 1476-1488 (2021) - [j45]Haocheng Li, Satwik Patnaik, Mohammed Ashraf, Haoyu Yang, Johann Knechtel, Bei Yu, Ozgur Sinanoglu, Evangeline F. Y. Young:
Deep Learning Analysis for Split-Manufactured Layouts With Routing Perturbation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 1995-2008 (2021) - [j44]Wei Li, Yuzhe Ma, Qi Sun, Lu Zhang, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan:
OpenMPL: An Open-Source Layout Decomposer. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(11): 2331-2344 (2021) - [j43]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 26(5): 40:1-40:46 (2021) - [c113]Tinghuan Chen, Qi Sun, Bei Yu:
Machine Learning in Nanometer AMS Design-for-Reliability : (Invited Paper). ASICON 2021: 1-4 - [c112]Wei Li, Yuxiao Qu, Gengjie Chen, Yuzhe Ma, Bei Yu:
TreeNet: Deep Point Cloud Embedding for Routing Tree Construction. ASP-DAC 2021: 164-169 - [c111]Zhuolun He, Peiyu Liao, Siting Liu, Yuzhe Ma, Yibo Lin, Bei Yu:
Physical Synthesis for Advanced Neural Network Processors. ASP-DAC 2021: 833-840 - [c110]Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young:
Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. ASP-DAC 2021: 885-891 - [c109]Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu:
Analog IC Aging-induced Degradation Estimation via Heterogeneous Graph Convolutional Networks. ASP-DAC 2021: 898-903 - [c108]Junzhe Cai, Changhao Yan, Yuzhe Ma, Bei Yu, Dian Zhou, Xuan Zeng:
NeurFill: Migrating Full-Chip CMP Simulators to Neural Networks for Model-Based Dummy Filling Synthesis. DAC 2021: 187-192 - [c107]Yifeng Xiao, Miaodi Su, Haoyu Yang, Jianli Chen, Jun Yu, Bei Yu:
Low-Cost Lithography Hotspot Detection with Active Entropy Sampling and Model Calibration. DAC 2021: 907-912 - [c106]Qi Sun, Tinghuan Chen, Siting Liu, Jin Miao, Jianli Chen, Hao Yu, Bei Yu:
Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design. DATE 2021: 46-51 - [c105]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 - [c104]Qi Sun, Chen Bai, Hao Geng, Bei Yu:
Deep Neural Network Hardware Deployment Optimization via Advanced Active Learning. DATE 2021: 1510-1515 - [c103]Siting Liu, Qi Sun, Peiyu Liao, Yibo Lin, Bei Yu:
Global Placement with Deep Learning-Enabled Explicit Routability Optimization. DATE 2021: 1821-1824 - [c102]Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu:
A GPU-enabled Level Set Method for Mask Optimization. DATE 2021: 1835-1838 - [c101]Chen Bai, Qi Sun, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration Framework. ICCAD 2021: 1-9 - [c100]Yang Bai, Xufeng Yao, Qi Sun, Bei Yu:
AutoGTCO: Graph and Tensor Co-Optimize for Image Recognition with Transformers on GPU. ICCAD 2021: 1-9 - [c99]Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao:
A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation. ICCAD 2021: 1-9 - [c98]Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu:
DevelSet: Deep Neural Level Set for Instant Mask Optimization. ICCAD 2021: 1-9 - [c97]Hao Geng, Fan Yang, Xuan Zeng, Bei Yu:
When Wafer Failure Pattern Classification Meets Few-shot Learning and Self-Supervised Learning. ICCAD 2021: 1-8 - [c96]Zhuolun He, Ziyi Wang, Chen Bail, Haoyu Yang, Bei Yu:
Graph Learning-Based Arithmetic Block Identification. ICCAD 2021: 1-8 - [c95]Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu:
McPAT-Calib: A Microarchitecture Power Modeling Framework for Modern CPUs. ICCAD 2021: 1-9 - [c94]Wenqian Zhao, Qi Sun, Yang Bai, Wenbo Li, Haisheng Zheng, Bei Yu, Martin D. F. Wong:
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU. ICCAD 2021: 1-9 - [c93]Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D. F. Wong:
Hotspot Detection via Multi-task Learning and Transformer Encoder. ICCAD 2021: 1-8 - [c92]Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. ICCV 2021: 695-704 - [c91]Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang, Yang Bai, Bei Yu:
Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning. ICCV 2021: 5360-5370 - [c90]Ruixing Wang, Xiaogang Xu, Chi-Wing Fu, Jiangbo Lu, Bei Yu, Jiaya Jia:
Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment. ICCV 2021: 9680-9689 - [c89]Wei Li, Guojin Chen, Haoyu Yang, Ran Chen, Bei Yu:
Learning Point Clouds in EDA. ISPD 2021: 55-62 - [i40]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. CoRR abs/2102.03357 (2021) - [i39]Haoyu Yang, Shuhe Li, Bei Yu:
Routing Towards Discriminative Power of Class Capsules. CoRR abs/2103.04278 (2021) - [i38]Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. CoRR abs/2107.12028 (2021) - [i37]Xiaogang Xu, Yi Wang, Liwei Wang, Bei Yu, Jiaya Jia:
Conditional Temporal Variational AutoEncoder for Action Video Prediction. CoRR abs/2108.05658 (2021) - [i36]Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, Bei Yu, Yuan Yan Tang, Jiaya Jia:
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask. CoRR abs/2109.13788 (2021) - 2020
- [j42]Xingquan Li, Bei Yu, Jianli Chen, Wenxing Zhu:
DSA guiding template assignment with multiple redundant via and dummy via insertion. Integr. 70: 32-42 (2020) - [j41]Qi Xu, Song Chen, Hao Geng, Bo Yuan, Bei Yu, Feng Wu, Zhengfeng Huang:
Fault tolerance in memristive crossbar-based neuromorphic computing systems. Integr. 70: 70-79 (2020) - [j40]Haoyu Yang, Shuhe Li, Zihao Deng, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
GAN-OPC: Mask Optimization With Lithography-Guided Generative Adversarial Nets. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2822-2834 (2020) - [j39]Hao Geng, Wei Zhong, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu:
SRAF Insertion via Supervised Dictionary Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2849-2859 (2020) - [j38]Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann:
TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4482-4495 (2020) - [j37]Yuzhe Ma, Wei Zhong, Shuxiang Hu, Jhih-Rong Gao, Jian Kuang, Jin Miao, Bei Yu:
A Unified Framework for Simultaneous Layout Decomposition and Mask Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5069-5082 (2020) - [j36]Qi Xu, Hao Geng, Song Chen, Bei Yu, Feng Wu:
Memristive Crossbar Mapping for Neuromorphic Computing Systems on 3D IC. ACM Trans. Design Autom. Electr. Syst. 25(1): 8:1-8:19 (2020) - [j35]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection. ACM Trans. Design Autom. Electr. Syst. 25(5): 48:1-48:31 (2020) - [c88]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI Mask Optimization: From Shallow To Deep Learning. ASP-DAC 2020: 434-439 - [c87]Wei Li, Jialu Xia, Yuzhe Ma, Jialu Li, Yibo Lin, Bei Yu:
Adaptive Layout Decomposition with Graph Embedding Neural Networks. DAC 2020: 1-6 - [c86]Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu:
Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. DAC 2020: 1-6 - [c85]Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu:
Tensor Low-Rank Reconstruction for Semantic Segmentation. ECCV (17) 2020: 52-69 - [c84]Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai:
Dive Deeper into Box for Object Detection. ECCV (22) 2020: 412-428 - [c83]