Song Han

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 177

Top Venues

Publications

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 (2024)
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) (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
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)
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 (2024)
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han
Tiny Machine Learning: Progress and Futures. CoRR (2024)
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 (2024)
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)
Zhuoyang Zhang, Han Cai, Song Han
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss. CoRR (2024)
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)
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)
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 (2023)
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)
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 (2023)
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 (2023)
Han Cai, Junyan Li, Muyan Hu, Chuang Gan, Song Han
EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction. ICCV (2023)
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)
Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. CoRR (2023)
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 (2023)
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)
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)
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 (2023)
Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CoRR (2023)
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 (2023)
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) (2023)
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 (2023)
Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CVPR (2023)
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 (2023)
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)
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 (2023)
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)
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 (2023)
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
On-Device Training Under 256KB Memory. CoRR (2022)
Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution. CoRR (2022)
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) (2022)
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han
TorchSparse: Efficient Point Cloud Inference Engine. CoRR (2022)
Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation. CoRR (2022)
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)
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)
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) (2022)
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)
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 (2022)
Zongxing Xie, Hanrui Wang, Song Han, Elinor Schoenfeld, Fan Ye
DeepVS: a deep learning approach for RF-based vital signs sensing. BCB (2022)
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) (2022)
Han Cai, Chuang Gan, Ji Lin, Song Han
Network Augmentation for Tiny Deep Learning. ICLR (2022)
Han Cai, Chuang Gan, Song Han
EfficientViT: Enhanced Linear Attention for High-Resolution Low-Computation Visual Recognition. CoRR (2022)
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 (2022)
Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits. CoRR (2022)
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)
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 (2022)
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 (2022)
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)
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) (2022)
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 (2022)
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)
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han
TorchSparse: Efficient Point Cloud Inference Engine. MLSys (2022)
Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation. CVPR (2022)
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)
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. CoRR (2022)
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 (2022)
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
On-Device Training Under 256KB Memory. NeurIPS (2022)
Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus
Efficient and Robust LiDAR-Based End-to-End Navigation. CoRR (2021)
Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela L. Rus
Efficient and Robust LiDAR-Based End-to-End Navigation. ICRA (2021)
Han Cai, Chuang Gan, Ji Lin, Song Han
Network Augmentation for Tiny Deep Learning. CoRR (2021)
Yujun Lin, Mengtian Yang, Song Han
NAAS: Neural Accelerator Architecture Search. DAC (2021)
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
Anycost GANs for Interactive Image Synthesis and Editing. CVPR (2021)
Yujun Lin, Mengtian Yang, Song Han
NAAS: Neural Accelerator Architecture Search. CoRR (2021)
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
Anycost GANs for Interactive Image Synthesis and Editing. CoRR (2021)
Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. ICCV (2021)
Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. CoRR (2021)
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. CoRR (2021)
Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han
PointAcc: Efficient Point Cloud Accelerator. CoRR (2021)
Ji Lin, Chuang Gan, Kuan Wang, Song Han
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device. CoRR (2021)
Huizi Mao, Sibo Zhu, Song Han, William J. Dally
PatchNet - Short-range Template Matching for Efficient Video Processing. CoRR (2021)
Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
IOS: Inter-Operator Scheduler for CNN Acceleration. MLSys (2021)
Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han
PointAcc: Efficient Point Cloud Accelerator. MICRO (2021)
Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning. CoRR (2021)
Zhijian Liu, Haotian Tang, Sibo Zhu, Song Han
SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss. IROS (2021)
Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. NeurIPS (2021)
Hanrui Wang, Zhekai Zhang, Song Han
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning. HPCA (2021)
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)
Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han
Memory-efficient Patch-based Inference for Tiny Deep Learning. NeurIPS (2021)
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
Differentiable Augmentation for Data-Efficient GAN Training. CoRR (2020)
Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference. ECCV (11) (2020)
Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning. CoRR (2020)
Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han
MCUNet: Tiny Deep Learning on IoT Devices. CoRR (2020)
Zhekai Zhang, Hanrui Wang, Song Han, William J. Dally
SpArch: Efficient Architecture for Sparse Matrix Multiplication. CoRR (2020)
Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning. DAC (2020)
Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
IOS: Inter-Operator Scheduler for CNN Acceleration. CoRR (2020)
Lei Deng, Guoqi Li, Song Han, Luping Shi, Yuan Xie
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey. Proc. IEEE 108 (4) (2020)
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
Lite Transformer with Long-Short Range Attention. CoRR (2020)
Zhekai Zhang, Hanrui Wang, Song Han, William J. Dally
SpArch: Efficient Architecture for Sparse Matrix Multiplication. HPCA (2020)
Hanrui Wang, Zhekai Zhang, Song Han
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning. CoRR (2020)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. CoRR (2020)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han
AutoML for Architecting Efficient and Specialized Neural Networks. IEEE Micro 40 (1) (2020)
Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han
MCUNet: Tiny Deep Learning on IoT Devices. NeurIPS (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Song Han