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ORCIDSong Han 0003
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation (former): Stanford University, Stanford, USA
Other persons with the same name
- Song Han — disambiguation page
- Song Han 0001
![[0000-0002-9072-420X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9072-420X")
— Yanshan University, Institute of Electrical Engineering, Qinhuangdao, China - Song Han 0002 — University of Connecticut, Department of Computer Science and Engineering, Storrs, CT, USA (and 2 more)
- Song Han 0004 — Curtin University, School of Information Systems, Perth, Australia (and 1 more)
- Song Han 0005 — Kim Il Sung University, Pyongyang, North Korea
- Song Han 0006 — Zhejiang Gongshang University, Hangzhou, Zhejiang, China (and 1 more)
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2020 – today
- 2024
[j20]Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Frederic T. Chong, Song Han, Xuehai Qian, Yiyu Shi:
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(6): 1834-1847 (2024)- [c92]Axel Jantsch, Song Han, Lin Meng, Oliver Bringmann, Haotian Tang, Shang Yang, Hengyi Li, Matthias Wess, Martin Lechner:
Special Session: Estimation and Optimization of DNNs for Embedded Platforms. CODES+ISSS 2024: 21-30 - [c91]Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Kai Li, Song Han:
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CVPR 2024: 7183-7193 - [c90]Han Cai, Muyang Li, Qinsheng Zhang, Ming-Yu Liu, Song Han:
Condition-Aware Neural Network for Controlled Image Generation. CVPR 2024: 7194-7203 - [c89]Zhuoyang Zhang, Han Cai, Song Han:
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss. CVPR Workshops 2024: 7859-7863 - [c88]Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, Song Han:
VILA: On Pre-training for Visual Language Models. CVPR 2024: 26679-26689 - [c87]Hanrui Wang, Daniel Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han:
Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas. DAC 2024: 306:1-306:6 - [c86]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. ECCV (67) 2024: 108-127 - [c85]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. HPCA 2024: 686-703 - [c84]Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia:
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models. ICLR 2024 - [c83]Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han:
Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays. ISCA 2024: 293-309 - [c82]Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han:
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. MLSys 2024 - [i101]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR abs/2401.05571 (2024) - [i100]Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Helen Li, Yiran Chen:
Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. CoRR abs/2401.17450 (2024) - [i99]Zhuoyang Zhang, Han Cai, Song Han:
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss. CoRR abs/2402.05008 (2024) - [i98]James Liu, Guangxuan Xiao, Kai Li, Jason D. Lee, Song Han, Tri Dao, Tianle Cai:
BitDelta: Your Fine-Tune May Only Be Worth One Bit. CoRR abs/2402.10193 (2024) - [i97]Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han:
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CoRR abs/2402.19481 (2024) - [i96]Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han:
Tiny Machine Learning: Progress and Futures. CoRR abs/2403.19076 (2024) - [i95]Han Cai, Muyang Li, Zhuoyang Zhang, Qinsheng Zhang, Ming-Yu Liu, Song Han:
Condition-Aware Neural Network for Controlled Image Generation. CoRR abs/2404.01143 (2024) - [i94]Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han:
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving. CoRR abs/2405.04532 (2024) - [i93]Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin:
X-VILA: Cross-Modality Alignment for Large Language Model. CoRR abs/2405.19335 (2024) - [i92]Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin:
VILA2: VILA Augmented VILA. CoRR abs/2407.17453 (2024) - [i91]Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i90]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. CoRR abs/2407.19014 (2024) - [i89]Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR abs/2408.10188 (2024) - [i88]Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu:
VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation. CoRR abs/2409.04429 (2024) - [i87]Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han:
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers. CoRR abs/2410.10629 (2024) - [i86]Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang, Haotian Tang, Muyang Li, Yao Lu, Song Han:
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models. CoRR abs/2410.10733 (2024) - [i85]Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen, Junyu Chen, Zhuoyang Zhang, Han Cai, Yao Lu, Song Han:
HART: Efficient Visual Generation with Hybrid Autoregressive Transformer. CoRR abs/2410.10812 (2024) - [i84]Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han:
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training. CoRR abs/2410.19313 (2024) - [i83]Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han:
SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models. CoRR abs/2411.05007 (2024) - [i82]Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu:
NVILA: Efficient Frontier Visual Language Models. CoRR abs/2412.04468 (2024) - 2023
- [j19]Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu:
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14465-14480 (2023) - [j18]Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning. World Sci. Annu. Rev. Artif. Intell. 1: 2340003:1-2340003:56 (2023) - [c81]Jessica Zheng, Hanrui Wang, Anand Chandrasekhar, Aaron D. Aguirre, Song Han, Hae-Seung Lee, Charles G. Sodini:
Machine Learning for Arterial Blood Pressure Prediction. CHIL 2023: 427-439 - [c80]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops 2023: 202-209 - [c79]Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han:
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CVPR 2023: 1200-1211 - [c78]Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han:
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. CVPR 2023: 2061-2070 - [c77]Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. DAC 2023: 1-6 - [c76]Sanjay Deshpande, Chuanqi Xu, Theodoros Trochatos, Hanrui Wang, Ferhat Erata, Song Han, Yongshan Ding, Jakub Szefer:
Design of Quantum Computer Antivirus. HOST 2023: 260-270 - [c75]Han Cai, Junyan Li, Muyan Hu, Chuang Gan, Song Han:
EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction. ICCV 2023: 17256-17267 - [c74]Guangxuan Xiao, Ji Lin, Mickaël Seznec, Hao Wu, Julien Demouth, Song Han:
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models. ICML 2023: 38087-38099 - [c73]Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L. Rus, Song Han:
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. ICRA 2023: 2774-2781 - [c72]Zexi Ji, Hanrui Wang, Miaorong Wang, Win-San Khwa, Meng-Fan Chang, Song Han, Anantha P. Chandrakasan:
A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices. ISLPED 2023: 1-6 - [c71]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO 2023: 225-239 - [c70]Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han:
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. MICRO 2023: 1381-1394 - [c69]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. QCE 2023: 51-62 - [c68]Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen:
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. QCE 2023: 1062-1073 - [i81]Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han:
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CoRR abs/2301.08739 (2023) - [i80]Guangxuan Xiao, Ji Lin, Song Han:
Offsite-Tuning: Transfer Learning without Full Model. CoRR abs/2302.04870 (2023) - [i79]Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han:
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. CoRR abs/2303.17605 (2023) - [i78]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. CoRR abs/2305.19533 (2023) - [i77]Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Xingyu Dang, Song Han:
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration. CoRR abs/2306.00978 (2023) - [i76]Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally:
Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network. CoRR abs/2306.09552 (2023) - [i75]Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen:
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. CoRR abs/2308.06634 (2023) - [i74]Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia:
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models. CoRR abs/2309.12307 (2023) - [i73]Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Chen Wang, Wei-Ming Chen, Chuang Gan, Song Han:
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. CoRR abs/2310.17752 (2023) - [i72]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR abs/2311.12862 (2023) - [i71]Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han:
FPQA-C: A Compilation Framework for Field Programmable Qubit Array. CoRR abs/2311.15123 (2023) - [i70]Hanrui Wang, Yilian Liu, Pengyu Liu, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han:
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR abs/2311.16035 (2023) - [i69]Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han:
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. CoRR abs/2311.16082 (2023) - [i68]Hanrui Wang, Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han:
Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas. CoRR abs/2311.16190 (2023) - [i67]Hanrui Wang, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jonathan M. Baker, Frederic T. Chong, Song Han:
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting. CoRR abs/2311.16214 (2023) - [i66]Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han:
VILA: On Pre-training for Visual Language Models. CoRR abs/2312.07533 (2023) - 2022
- [j17]Ji Lin, Chuang Gan, Kuan Wang, Song Han:
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2760-2774 (2022) - [j16]Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han:
PVNAS: 3D Neural Architecture Search With Point-Voxel Convolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8552-8568 (2022) - [j15]Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han:
GAN Compression: Efficient Architectures for Interactive Conditional GANs. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9331-9346 (2022) - [j14]Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han:
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Trans. Design Autom. Electr. Syst. 27(3): 20:1-20:50 (2022) - [c67]Zongxing Xie, Hanrui Wang, Song Han, Elinor Schoenfeld, Fan Ye:
DeepVS: a deep learning approach for RF-based vital signs sensing. BCB 2022: 17:1-17:5 - [c66]Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han:
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation. CVPR 2022: 13116-13126 - [c65]Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han:
QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. DAC 2022: 1-6 - [c64]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
QOC: quantum on-chip training with parameter shift and gradient pruning. DAC 2022: 655-660 - [c63]Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA 2022: 692-708 - [c62]Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han:
TorchQuantum Case Study for Robust Quantum Circuits. ICCAD 2022: 136:1-136:9 - [c61]Han Cai, Chuang Gan, Ji Lin, Song Han:
Network Augmentation for Tiny Deep Learning. ICLR 2022 - [c60]Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus:
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA 2022: 2419-2426 - [c59]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. MLCAD 2022: 35-41 - [c58]Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han:
TorchSparse: Efficient Point Cloud Inference Engine. MLSys 2022 - [c57]Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han:
On-Device Training Under 256KB Memory. NeurIPS 2022 - [c56]Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu:
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. NeurIPS 2022 - [c55]Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi:
Variational Quantum Pulse Learning. QCE 2022: 556-565 - [i65]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. CoRR abs/2202.13239 (2022) - [i64]Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han:
TorchSparse: Efficient Point Cloud Inference Engine. CoRR abs/2204.10319 (2022) - [i63]Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han:
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. CoRR abs/2204.11786 (2022) - [i62]Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han:
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution. CoRR abs/2204.11797 (2022) - [i61]Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han:
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation. CoRR abs/2205.01271 (2022) - [i60]Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han:
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. CoRR abs/2205.13542 (2022) - [i59]Han Cai, Chuang Gan, Song Han:
EfficientViT: Enhanced Linear Attention for High-Resolution Low-Computation Visual Recognition. CoRR abs/2205.14756 (2022) - [i58]Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han:
On-Device Training Under 256KB Memory. CoRR abs/2206.15472 (2022) - [i57]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. CoRR abs/2207.06412 (2022) - [i56]Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian:
PAN: Pulse Ansatz on NISQ Machines. CoRR abs/2208.01215 (2022) - [i55]Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian:
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits. CoRR abs/2210.08190 (2022) - [i54]Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han:
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR abs/2210.16724 (2022) - [i53]Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu:
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. CoRR abs/2211.02048 (2022) - [i52]Guangxuan Xiao, Ji Lin, Mickaël Seznec, Julien Demouth, Song Han:
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models. CoRR abs/2211.10438 (2022) - [i51]Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. CoRR abs/2212.00661 (2022) - 2021
- [c54]Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan:
The 2020 Low-Power Computer Vision Challenge. AICAS 2021: 1-4 - [c53]Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu:
Anycost GANs for Interactive Image Synthesis and Editing. CVPR 2021: 14986-14996 - [c52]Yujun Lin, Mengtian Yang, Song Han:
NAAS: Neural Accelerator Architecture Search. DAC 2021: 1051-1056 - [c51]Hanrui Wang, Zhekai Zhang, Song Han:
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning. HPCA 2021: 97-110 - [c50]Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han:
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. ICCV 2021: 2147-2156 - [c49]Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela L. Rus:
Efficient and Robust LiDAR-Based End-to-End Navigation. ICRA 2021: 13247-13254 - [c48]Zhijian Liu, Haotian Tang, Sibo Zhu, Song Han:
SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss. IROS 2021: 8845-8851 - [c47]Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han:
PointAcc: Efficient Point Cloud Accelerator. MICRO 2021: 449-461 - [c46]Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han:
IOS: Inter-Operator Scheduler for CNN Acceleration. MLSys 2021 - [c45]Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han:
Memory-efficient Patch-based Inference for Tiny Deep Learning. NeurIPS 2021: 2346-2358 - [c44]