Learning both Weights and Connections for Efficient Neural Network. - Song Han 003; Jeff Pool; John Tran; William J. Dally (NIPS, 2015)

On-Demand Dynamic Branch Prediction. - Milad Mohammadi; Song Han 003; Tor M. Aamodt; William J. Dally (IEEE Comput. Archit. Lett., 2015)

Learning both Weights and Connections for Efficient Neural Networks. - Song Han 003; Jeff Pool; John Tran; William J. Dally (CoRR, 2015)

Real-Time Pedestrian Detection and Tracking on Customized Hardware. - Junbin Wang; Ke Yan; Kaiyuan Guo; Jincheng Yu; Lingzhi Sui; Song Yao; Song Han 003; Yu Wang 002 (ESTIMedia, 2016)

From model to FPGA: Software-hardware co-design for efficient neural network acceleration. - Kaiyuan Guo; Lingzhi Sui; Jiantao Qiu; Song Yao; Song Han 003; Yu Wang 002; Huazhong Yang (Hot Chips Symposium, 2016)

Deep compression and EIE: Efficient inference engine on compressed deep neural network. - Song Han 003; Xingyu Liu 001; Huizi Mao; Jing Pu; Ardavan Pedram; Mark Horowitz; Bill Dally (Hot Chips Symposium, 2016)

EIE: Efficient Inference Engine on Compressed Deep Neural Network. - Song Han 003; Xingyu Liu 001; Huizi Mao; Jing Pu; Ardavan Pedram; Mark A. Horowitz; William J. Dally (ISCA, 2016)

Angel-Eye: A Complete Design Flow for Mapping CNN onto Customized Hardware. - Kaiyuan Guo; Lingzhi Sui; Jiantao Qiu; Song Yao; Song Han 003; Yu Wang 002; Huazhong Yang (ISVLSI, 2016)

ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA. - Song Han 003; Junlong Kang; Huizi Mao; Yiming Hu; Xin Li 001; Yubin Li; Dongliang Xie; Hong Luo; Song Yao; Yu Wang 002; Huazhong Yang; William J. Dally (CoRR, 2016)

Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding. - Song Han 003; Huizi Mao; William J. Dally (ICLR, 2016)

DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow. - Song Han 003; Jeff Pool; Sharan Narang; Huizi Mao; Shijian Tang; Erich Elsen; Bryan Catanzaro; John Tran; William J. Dally (CoRR, 2016)

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size. - Forrest N. Iandola; Matthew W. Moskewicz; Khalid Ashraf; Song Han 003; William J. Dally; Kurt Keutzer (CoRR, 2016)

Generate Image Descriptions based on Deep RNN and Memory Cells for Images Features. - Shijian Tang; Song Han 003 (CoRR, 2016)

Research for Practice: Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning. - Peter Bailis; Arvind Narayanan; Andrew Miller 001; Song Han 003 (ACM Queue, 2016)

Exploring the Granularity of Sparsity in Convolutional Neural Networks. - Huizi Mao; Song Han 003; Jeff Pool; Wenshuo Li; Xingyu Liu 001; Yu Wang 002; William J. Dally (CVPR Workshops, 2017)

An FPGA Design Framework for CNN Sparsification and Acceleration. - Sicheng Li 001; Wei Wen; Yu Wang 002; Song Han 003; Yiran Chen 001; Hai Li 001 (FCCM, 2017)

ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA. - Song Han 003; Junlong Kang; Huizi Mao; Yiming Hu; Xin Li 001; Yubin Li; Dongliang Xie; Hong Luo; Song Yao; Yu Wang 002; Huazhong Yang; William (Bill) J. Dally (FPGA, 2017)

DSD: Dense-Sparse-Dense Training for Deep Neural Networks. - Song Han 003; Jeff Pool; Sharan Narang; Huizi Mao; Enhao Gong; Shijian Tang; Erich Elsen; Peter Vajda; Manohar Paluri; John Tran; Bryan Catanzaro; William J. Dally (ICLR (Poster), 2017)

Efficient Sparse-Winograd Convolutional Neural Networks. - Xingyu Liu 001; Song Han 003; Huizi Mao; William J. Dally (ICLR (Workshop), 2017)

Trained Ternary Quantization. - Chenzhuo Zhu; Song Han 003; Huizi Mao; William J. Dally (ICLR (Poster), 2017)

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks. - Huizi Mao; Song Han 003; Jeff Pool; Wenshuo Li; Xingyu Liu 001; Yu Wang 002; William J. Dally (CoRR, 2017)

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; Shreyas Vasanawala; Greg Zaharchuk; Marcus T. Alley; Neil Thakur; Song Han 003; William J. Dally; John M. Pauly; Lei Xing 001 (CoRR, 2017)

Software-Hardware Codesign for Efficient Neural Network Acceleration. - Kaiyuan Guo; Song Han 003; Song Yao; Yu Wang 002; Yuan Xie 001; Huazhong Yang (IEEE Micro, 2017)

Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification. - Yi Cai 003; Yujun Lin 001; Lixue Xia; Xiaoming Chen 003; Song Han 003; Yu Wang 002; Huazhong Yang (DAC, 2018)

Bandwidth-efficient deep learning. - Song Han 003; William J. Dally (DAC, 2018)

AMC: AutoML for Model Compression and Acceleration on Mobile Devices. - Yihui He; Ji Lin 002; Zhijian Liu; Hanrui Wang 002; Li-Jia Li 001; Song Han 003 (ECCV (7), 2018)

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. - Yujun Lin 001; Song Han 003; Huizi Mao; Yu Wang 002; Bill Dally (ICLR (Poster), 2018)

Efficient Sparse-Winograd Convolutional Neural Networks. - Xingyu Liu 001; Jeff Pool; Song Han 003; William J. Dally (ICLR (Poster), 2018)

Path-Level Network Transformation for Efficient Architecture Search. - Han Cai; Jiacheng Yang; Weinan Zhang 001; Song Han 003; Yong Yu 001 (ICML, 2018)

Fast inference of deep neural networks in FPGAs for particle physics. - Javier M. Duarte; Song Han 003; Philip C. Harris; Sergo Jindariani; Edward Kreinar; Benjamin Kreis; Jennifer Ngadiuba; Maurizio Pierini; Ryan A. Rivera; Nhan Tran; Zhenbin Wu (CoRR, 2018)

Temporal Shift Module for Efficient Video Understanding. - Ji Lin 002; Chuang Gan 001; Song Han 003 (CoRR, 2018)

HAQ: Hardware-Aware Automated Quantization. - Kuan Wang; Zhijian Liu; Yujun Lin 001; Ji Lin 002; Song Han 003 (CoRR, 2018)

Learning to Design Circuits. - Hanrui Wang 002; Jiacheng Yang; Hae-Seung Lee; Song Han 003 (CoRR, 2018)

Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA. - Kaiyuan Guo; Lingzhi Sui; Jiantao Qiu; Jincheng Yu; Junbin Wang; Song Yao; Song Han 003; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

HAQ: Hardware-Aware Automated Quantization With Mixed Precision. - Kuan Wang; Zhijian Liu; Yujun Lin 001; Ji Lin 002; Song Han 003 (CVPR, 2019)

A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. - Zhenhua Zhu; Hanbo Sun; Yujun Lin 001; Guohao Dai; Lixue Xia; Song Han 003; Yu Wang 002; Huazhong Yang (DAC, 2019)

Fast Inference of Deep Neural Networks for Real-time Particle Physics Applications. - Javier M. Duarte; Song Han 003; Philip C. Harris; Sergo Jindariani; Edward Kreinar; Benjamin Kreis; Vladimir Loncar; Jennifer Ngadiuba; Maurizio Pierini; Dylan S. Rankin; Ryan A. Rivera; Sioni Summers; et al. (FPGA, 2019)

A Fine-Grained Sparse Accelerator for Multi-Precision DNN. - Shulin Zeng; Yujun Lin 001; Shuang Liang 010; Junlong Kang; Dongliang Xie; Yi Shan; Song Han 003; Yu Wang 002; Huazhong Yang (FPGA, 2019)

TSM: Temporal Shift Module for Efficient Video Understanding. - Ji Lin 002; Chuang Gan 001; Song Han 003 (ICCV, 2019)

On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning. - Han Cai; Tianzhe Wang; Zhanghao Wu; Kuan Wang; Ji Lin 002; Song Han 003 (ICCV Workshops, 2019)

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. - Han Cai; Ligeng Zhu; Song Han 003 (ICLR (Poster), 2019)

Defensive Quantization: When Efficiency Meets Robustness. - Ji Lin 002; Chuang Gan 001; Song Han 003 (ICLR (Poster), 2019)

Point-Voxel CNN for Efficient 3D Deep Learning. - Zhijian Liu; Haotian Tang; Yujun Lin 001; Song Han 003 (NeurIPS, 2019)

Park: An Open Platform for Learning-Augmented Computer Systems. - Hongzi Mao; Parimarjan Negi; Akshay Narayan 001; Hanrui Wang 002; Jiacheng Yang; Haonan Wang; Ryan Marcus; Ravichandra Addanki; Mehrdad Khani Shirkoohi; Songtao He; Vikram Nathan; Frank Cangialosi; et al. (NeurIPS, 2019)

MicroNet for Efficient Language Modeling. - Zhongxia Yan 001; Hanrui Wang 002; Demi Guo; Song Han 003 (NeurIPS (Competition and Demos), 2019)

Deep Leakage from Gradients. - Ligeng Zhu; Zhijian Liu; Song Han 003 (NeurIPS, 2019)

SysML: The New Frontier of Machine Learning Systems. - Alexander Ratner; Dan Alistarh; Gustavo Alonso; David G. Andersen; Peter Bailis; Sarah Bird; Nicholas Carlini; Bryan Catanzaro; Eric S. Chung; Bill Dally; Jeff Dean; Inderjit S. Dhillon; et al. (CoRR, 2019)

Design Automation for Efficient Deep Learning Computing. - Song Han 003; Han Cai; Ligeng Zhu; Ji Lin 002; Kuan Wang; Zhijian Liu; Yujun Lin 001 (CoRR, 2019)

Once for All: Train One Network and Specialize it for Efficient Deployment. - Han Cai; Chuang Gan 001; Song Han 003 (CoRR, 2019)

Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos. - Ji Lin 002; Chuang Gan 001; Song Han 003 (CoRR, 2019)

Modeling and Optimization for Self-powered Non-volatile IoT Edge Devices with Ultra-low Harvesting Power. - Chen Pan; Mimi Xie; Song Han 003; Zhi-Hong Mao; Jingtong Hu (ACM Trans. Cyber Phys. Syst., 2019)

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. - Hanrui Wang 002; Zhanghao Wu; Zhijian Liu; Han Cai; Ligeng Zhu; Chuang Gan 001; Song Han 003 (ACL, 2020)

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. - Tianzhe Wang; Kuan Wang; Han Cai; Ji Lin 002; Zhijian Liu; Hanrui Wang 002; Yujun Lin 001; Song Han 003 (CVPR, 2020)

GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning. - Hanrui Wang 002; Kuan Wang; Jiacheng Yang; Linxiao Shen; Nan Sun 001; Hae-Seung Lee; Song Han 003 (DAC, 2020)

DataMix: Efficient Privacy-Preserving Edge-Cloud Inference. - Zhijian Liu; Zhanghao Wu; Chuang Gan 001; Ligeng Zhu; Song Han 003 (ECCV (11), 2020)

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. - Haotian Tang; Zhijian Liu; Shengyu Zhao; Yujun Lin 001; Ji Lin 002; Hanrui Wang 002; Song Han 003 (ECCV (28), 2020)

SpArch: Efficient Architecture for Sparse Matrix Multiplication. - Zhekai Zhang; Hanrui Wang 002; Song Han 003; William J. Dally (HPCA, 2020)

Once-for-All: Train One Network and Specialize it for Efficient Deployment. - Han Cai; Chuang Gan 001; Tianzhe Wang; Zhekai Zhang; Song Han 003 (ICLR, 2020)

Lite Transformer with Long-Short Range Attention. - Zhanghao Wu; Zhijian Liu; Ji Lin 002; Yujun Lin 001; Song Han 003 (ICLR, 2020)

TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning. - Han Cai; Chuang Gan 001; Ligeng Zhu; Song Han 003 (NeurIPS, 2020)

MCUNet: Tiny Deep Learning on IoT Devices. - Ji Lin 002; Wei-Ming Chen; Yujun Lin 001; John Cohn; Chuang Gan 001; Song Han 003 (NeurIPS, 2020)

Differentiable Augmentation for Data-Efficient GAN Training. - Shengyu Zhao; Zhijian Liu; Ji Lin 002; Jun-Yan Zhu; Song Han 003 (NeurIPS, 2020)

Domain-specific hardware accelerators. - William J. Dally; Yatish Turakhia; Song Han 003 (Commun. ACM, 2020)

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. - Tianzhe Wang; Kuan Wang; Han Cai; Ji Lin 002; Zhijian Liu; Song Han 003 (CoRR, 2020)

Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning. - Han Cai; Chuang Gan 001; Ligeng Zhu; Song Han 003 (CoRR, 2020)

Hardware-Centric AutoML for Mixed-Precision Quantization. - Kuan Wang; Zhijian Liu; Yujun Lin 001; Ji Lin 002; Song Han 003 (Int. J. Comput. Vis., 2020)

AutoML for Architecting Efficient and Specialized Neural Networks. - Han Cai; Ji Lin 002; Yujun Lin 001; Zhijian Liu; Kuan Wang; Tianzhe Wang; Ligeng Zhu; Song Han 003 (IEEE Micro, 2020)

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey. - Lei Deng 003; Guoqi Li; Song Han 003; Luping Shi; Yuan Xie 001 (Proc. IEEE, 2020)

Scanning the Issue. - H.-S. Philip Wong; Kerem Akarvardar; Dimitri A. Antoniadis; Jeffrey Bokor; Chenming Hu; Tsu-Jae King Liu; Subhasish Mitra; James D. Plummer; Sayeef S. Salahuddin; Lei Deng 003; Xin-Guo Li; Song Han 003; et al. (Proc. IEEE, 2020)

Energy Efficient On-Demand Dynamic Branch Prediction Models. - Milad Mohammadi; Song Han 003; Ehsan Atoofian; Amirali Baniasadi; Tor M. Aamodt; William J. Dally (IEEE Trans. Computers, 2020)

Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. - Yi Cai 003; Yujun Lin 001; Lixue Xia; Xiaoming Chen 003; Song Han 003; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Deep Leakage from Gradients. - Ligeng Zhu; Song Han 003 (Federated Learning, 2020)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

Anycost GANs for Interactive Image Synthesis and Editing. - Ji Lin 002; Richard Zhang 001; Frieder Ganz; Song Han 003; Jun-Yan Zhu (CVPR, 2021)

NAAS: Neural Accelerator Architecture Search. - Yujun Lin 001; Mengtian Yang; Song Han 003 (DAC, 2021)

SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning. - Hanrui Wang 002; Zhekai Zhang; Song Han 003 (HPCA, 2021)

LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. - Zhijian Liu; Simon Stent; Jie Li; John Gideon; Song Han 003 (ICCV, 2021)

Efficient and Robust LiDAR-Based End-to-End Navigation. - Zhijian Liu; Alexander Amini; Sibo Zhu; Sertac Karaman; Song Han 003; Daniela L. Rus (ICRA, 2021)

SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss. - Zhijian Liu; Haotian Tang; Sibo Zhu; Song Han 003 (IROS, 2021)

PointAcc: Efficient Point Cloud Accelerator. - Yujun Lin 001; Zhekai Zhang; Haotian Tang; Hanrui Wang 002; Song Han 003 (MICRO, 2021)

IOS: Inter-Operator Scheduler for CNN Acceleration. - Yaoyao Ding; Ligeng Zhu; Zhihao Jia; Gennady Pekhimenko; Song Han 003 (MLSys, 2021)

Memory-efficient Patch-based Inference for Tiny Deep Learning. - Ji Lin 002; Wei-Ming Chen; Han Cai; Chuang Gan 001; Song Han 003 (NeurIPS, 2021)

Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. - Ligeng Zhu; Hongzhou Lin; Yao Lu 006; Yujun Lin 001; Song Han 003 (NeurIPS, 2021)

PatchNet - Short-range Template Matching for Efficient Video Processing. - Huizi Mao; Sibo Zhu; Song Han 003; William J. Dally (CoRR, 2021)

TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device. - Ji Lin 002; Chuang Gan 001; Kuan Wang; Song Han 003 (CoRR, 2021)

RoQNN: Noise-Aware Training for Robust Quantum Neural Networks. - Hanrui Wang 002; Jiaqi Gu 002; Yongshan Ding 001; Zirui Li; Frederic T. Chong; David Z. Pan; Song Han 003 (CoRR, 2021)

MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning. - Ji Lin 002; Wei-Ming Chen; Han Cai; Chuang Gan 001; Song Han 003 (CoRR, 2021)

DeepVS: a deep learning approach for RF-based vital signs sensing. - Zongxing Xie; Hanrui Wang 002; Song Han 003; Elinor Schoenfeld; Fan Ye 003 (BCB, 2022)

Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation. - Yihan Wang; Muyang Li; Han Cai; Wei-Ming Chen; Song Han 003 (CVPR, 2022)

QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. - Hanrui Wang 002; Jiaqi Gu 002; Yongshan Ding 001; Zirui Li; Frederic T. Chong; David Z. Pan; Song Han 003 (DAC, 2022)

QOC: quantum on-chip training with parameter shift and gradient pruning. - Hanrui Wang 002; Zirui Li; Jiaqi Gu 002; Yongshan Ding 001; David Z. Pan; Song Han 003 (DAC, 2022)

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. - Hanrui Wang 002; Yongshan Ding 001; Jiaqi Gu 002; Yujun Lin 001; David Z. Pan; Frederic T. Chong; Song Han 003 (HPCA, 2022)

TorchQuantum Case Study for Robust Quantum Circuits. - Hanrui Wang 002; Zhiding Liang; Jiaqi Gu 002; Zirui Li; Yongshan Ding 001; Weiwen Jiang; Yiyu Shi 001; David Z. Pan; Frederic T. Chong; Song Han 003 (ICCAD, 2022)

Network Augmentation for Tiny Deep Learning. - Han Cai; Chuang Gan 001; Ji Lin 002; Song Han 003 (ICLR, 2022)

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. - Alexander Amini; Tsun-Hsuan Wang; Igor Gilitschenski; Wilko Schwarting; Zhijian Liu; Song Han 003; Sertac Karaman; Daniela Rus (ICRA, 2022)

RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. - Wei Shi 011; Hanrui Wang 002; Jiaqi Gu 002; Mingjie Liu; David Z. Pan; Song Han 003; Nan Sun 001 (MLCAD, 2022)

TorchSparse: Efficient Point Cloud Inference Engine. - Haotian Tang; Zhijian Liu; Xiuyu Li; Yujun Lin 001; Song Han 003 (MLSys, 2022)

On-Device Training Under 256KB Memory. - Ji Lin 002; Ligeng Zhu; Wei-Ming Chen; Wei-Chen Wang 002; Chuang Gan 001; Song Han 003 (NeurIPS, 2022)

Variational Quantum Pulse Learning. - Zhiding Liang; Hanrui Wang 002; Jinglei Cheng; Yongshan Ding 001; Hang Ren; Zhengqi Gao; Zhirui Hu; Duane S. Boning; Xuehai Qian; Song Han 003; Weiwen Jiang; Yiyu Shi 001 (QCE, 2022)

On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. - Hanrui Wang 002; Zirui Li; Jiaqi Gu 002; Yongshan Ding 001; David Z. Pan; Song Han 003 (CoRR, 2022)

EfficientViT: Enhanced Linear Attention for High-Resolution Low-Computation Visual Recognition. - Han Cai; Chuang Gan 001; Song Han 003 (CoRR, 2022)

PAN: Pulse Ansatz on NISQ Machines. - Zhiding Liang; Jinglei Cheng; Hang Ren; Hanrui Wang 002; Fei Hua; Yongshan Ding 001; Fred Chong; Song Han 003; Yiyu Shi 001; Xuehai Qian (CoRR, 2022)

TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits. - Jinglei Cheng; Hanrui Wang 002; Zhiding Liang; Yiyu Shi 001; Song Han 003; Xuehai Qian (CoRR, 2022)

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. - Hanrui Wang 002; Pengyu Liu; Jinglei Cheng; Zhiding Liang; Jiaqi Gu 002; Zirui Li; Yongshan Ding 001; Weiwen Jiang; Yiyu Shi 001; Xuehai Qian; David Z. Pan; Frederic T. Chong; et al. (CoRR, 2022)

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models. - Guangxuan Xiao; Ji Lin 002; Mickaël Seznec; Julien Demouth; Song Han 003 (CoRR, 2022)

GAN Compression: Efficient Architectures for Interactive Conditional GANs. - Muyang Li; Ji Lin 002; Yaoyao Ding; Zhijian Liu; Jun-Yan Zhu; Song Han 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices. - Ji Lin 002; Chuang Gan 001; Kuan Wang; Song Han 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

PVNAS: 3D Neural Architecture Search With Point-Voxel Convolution. - Zhijian Liu; Haotian Tang; Shengyu Zhao; Kevin Shao; Song Han 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. - Han Cai; Ji Lin 002; Yujun Lin 001; Zhijian Liu; Haotian Tang; Hanrui Wang 002; Ligeng Zhu; Song Han 003 (ACM Trans. Design Autom. Electr. Syst., 2022)

Machine Learning for Arterial Blood Pressure Prediction. - Jessica Zheng; Hanrui Wang 002; Anand Chandrasekhar; Aaron D. Aguirre; Song Han 003; Hae-Seung Lee; Charles G. Sodini (CHIL, 2023)

SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. - Xuanyao Chen; Zhijian Liu; Haotian Tang; Li Yi; Hang Zhao; Song Han 003 (CVPR, 2023)

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. - Zhijian Liu; Xinyu Yang 002; Haotian Tang; Shang Yang; Song Han 003 (CVPR, 2023)

TorchSparse++: Efficient Point Cloud Engine. - Haotian Tang; Shang Yang; Zhijian Liu; Ke Hong; Zhongming Yu; Xiuyu Li; Guohao Dai; Yu Wang 002; Song Han 003 (CVPR Workshops, 2023)

Hybrid Gate-Pulse Model for Variational Quantum Algorithms. - Zhiding Liang; Zhixin Song; Jinglei Cheng; Zichang He; Ji Liu 007; Hanrui Wang 002; Ruiyang Qin; Yiru Wang; Song Han 003; Xuehai Qian; Yiyu Shi 001 (DAC, 2023)

Design of Quantum Computer Antivirus. - Sanjay Deshpande; Chuanqi Xu; Theodoros Trochatos; Hanrui Wang 002; Ferhat Erata; Song Han 003; Yongshan Ding 001; Jakub Szefer (HOST, 2023)

EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction. - Han Cai; Junyan Li; Muyan Hu; Chuang Gan 001; Song Han 003 (ICCV, 2023)

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models. - Guangxuan Xiao; Ji Lin 002; Mickaël Seznec; Hao Wu; Julien Demouth; Song Han 003 (ICML, 2023)

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. - Zhijian Liu; Haotian Tang; Alexander Amini; Xinyu Yang 002; Huizi Mao; Daniela L. Rus; Song Han 003 (ICRA, 2023)

A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices. - Zexi Ji; Hanrui Wang 002; Miaorong Wang; Win-San Khwa; Meng-Fan Chang; Song Han 003; Anantha P. Chandrakasan (ISLPED, 2023)

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. - Haotian Tang; Shang Yang; Zhijian Liu; Ke Hong; Zhongming Yu; Xiuyu Li; Guohao Dai; Yu Wang 002; Song Han 003 (MICRO, 2023)

PockEngine: Sparse and Efficient Fine-tuning in a Pocket. - Ligeng Zhu; Lanxiang Hu; Ji Lin 002; Wei-Ming Chen; Wei-Chen Wang 002; Chuang Gan 001; Song Han 003 (MICRO, 2023)

QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. - Tianlong Chen 001; Zhenyu Zhang 015; Hanrui Wang 002; Jiaqi Gu 002; Zirui Li; David Z. Pan; Frederic T. Chong; Song Han 003; Zhangyang Wang (QCE, 2023)

DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. - Junyao Zhang; Hanrui Wang 002; Gokul Subramanian Ravi; Frederic T. Chong; Song Han 003; Frank Mueller 001; Yiran Chen 001 (QCE, 2023)

Offsite-Tuning: Transfer Learning without Full Model. - Guangxuan Xiao; Ji Lin 002; Song Han 003 (CoRR, 2023)

DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. - Hanqing Zhu; Jiaqi Gu 002; Hanrui Wang 002; Zixuan Jiang; Zhekai Zhang; Rongxin Tang; Chenghao Feng; Song Han 003; Ray T. Chen; David Z. Pan (CoRR, 2023)

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration. - Ji Lin 002; Jiaming Tang; Haotian Tang; Shang Yang; Xingyu Dang; Song Han 003 (CoRR, 2023)

Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network. - Song Han 003; Xingyu Liu 001; Huizi Mao; Jing Pu; Ardavan Pedram; Mark A. Horowitz; William J. Dally (CoRR, 2023)

FPQA-C: A Compilation Framework for Field Programmable Qubit Array. - Hanrui Wang 002; Pengyu Liu; Bochen Tan; Yilian Liu; Jiaqi Gu 002; David Z. Pan; Jason Cong; Umut A. Acar; Song Han 003 (CoRR, 2023)

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. - Hanrui Wang 002; Yilian Liu; Pengyu Liu; Jiaqi Gu 002; Zirui Li; Zhiding Liang; Jinglei Cheng; Yongshan Ding 001; Xuehai Qian; Yiyu Shi 001; David Z. Pan; Frederic T. Chong; et al. (CoRR, 2023)

Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. - Hanrui Wang 002; Pengyu Liu; Kevin Shao; Dantong Li; Jiaqi Gu 002; David Z. Pan; Yongshan Ding 001; Song Han 003 (CoRR, 2023)

Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas. - Hanrui Wang 002; Bochen Tan; Pengyu Liu; Yilian Liu; Jiaqi Gu 002; Jason Cong; Song Han 003 (CoRR, 2023)

DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting. - Hanrui Wang 002; Pengyu Liu; Yilian Liu; Jiaqi Gu 002; Jonathan M. Baker; Frederic T. Chong; Song Han 003 (CoRR, 2023)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Yao Lu 006; Pavlo Molchanov 001; Andrew Tao; Huizi Mao; Jan Kautz; Mohammad Shoeybi; Song Han 003 (CoRR, 2023)

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. - Muyang Li; Ji Lin 002; Chenlin Meng; Stefano Ermon; Song Han 003; Jun-Yan Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Special Session: Estimation and Optimization of DNNs for Embedded Platforms. - Axel Jantsch; Song Han 003; Lin Meng; Oliver Bringmann 001; Haotian Tang; Shang Yang; Hengyi Li; Matthias Wess; Martin Lechner (CODES+ISSS, 2024)

Condition-Aware Neural Network for Controlled Image Generation. - Han Cai; Muyang Li; Qinsheng Zhang; Ming-Yu Liu 001; Song Han 003 (CVPR, 2024)

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. - Muyang Li; Tianle Cai; Jiaxin Cao; Qinsheng Zhang; Han Cai; Junjie Bai; Yangqing Jia; Kai Li; Song Han 003 (CVPR, 2024)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Pavlo Molchanov 001; Mohammad Shoeybi; Song Han 003 (CVPR, 2024)

EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss. - Zhuoyang Zhang; Han Cai; Song Han 003 (CVPR Workshops, 2024)

Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas. - Hanrui Wang 002; Daniel Bochen Tan; Pengyu Liu; Yilian Liu; Jiaqi Gu 002; Jason Cong; Song Han 003 (DAC, 2024)

Sparse Refinement for Efficient High-Resolution Semantic Segmentation. - Zhijian Liu; Zhuoyang Zhang; Samir Khaki; Shang Yang; Haotian Tang; Chenfeng Xu; Kurt Keutzer; Song Han 003 (ECCV (67), 2024)

Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. - Hanqing Zhu; Jiaqi Gu 002; Hanrui Wang 002; Zixuan Jiang; Zhekai Zhang; Rongxing Tang; Chenghao Feng; Song Han 003; Ray T. Chen; David Z. Pan (HPCA, 2024)

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models. - Yukang Chen; Shengju Qian; Haotian Tang; Xin Lai; Zhijian Liu; Song Han 003; Jiaya Jia (ICLR, 2024)

Efficient Streaming Language Models with Attention Sinks. - Guangxuan Xiao; Yuandong Tian; Beidi Chen; Song Han 003; Mike Lewis (ICLR, 2024)

QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference. - Jiaming Tang; Yilong Zhao; Kan Zhu; Guangxuan Xiao; Baris Kasikci; Song Han 003 (ICML, 2024)

Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays. - Hanrui Wang 002; Pengyu Liu; Daniel Bochen Tan; Yilian Liu; Jiaqi Gu 002; David Z. Pan; Jason Cong; Umut A. Acar; Song Han 003 (ISCA, 2024)

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. - Ji Lin 002; Jiaming Tang; Haotian Tang; Shang Yang; Wei-Ming Chen; Wei-Chen Wang 002; Guangxuan Xiao; Xingyu Dang; Chuang Gan 001; Song Han 003 (MLSys, 2024)

BitDelta: Your Fine-Tune May Only Be Worth One Bit. - James Liu; Guangxuan Xiao; Kai Li; Jason D. Lee; Song Han 003; Tri Dao; Tianle Cai (NeurIPS, 2024)

InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory. - Chaojun Xiao; Pengle Zhang; Xu Han 007; Guangxuan Xiao; Yankai Lin; Zhengyan Zhang; Zhiyuan Liu 001; Song Han 003; Maosong Sun 001 (CoRR, 2024)

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. - Muyang Li; Tianle Cai; Jiaxin Cao; Qinsheng Zhang; Han Cai; Junjie Bai; Yangqing Jia; Ming-Yu Liu 001; Kai Li; Song Han 003 (CoRR, 2024)

Tiny Machine Learning: Progress and Futures. - Ji Lin 002; Ligeng Zhu; Wei-Ming Chen; Wei-Chen Wang 002; Song Han 003 (CoRR, 2024)

Condition-Aware Neural Network for Controlled Image Generation. - Han Cai; Muyang Li; Zhuoyang Zhang; Qinsheng Zhang; Ming-Yu Liu 001; Song Han 003 (CoRR, 2024)

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving. - Yujun Lin 001; Haotian Tang; Shang Yang; Zhekai Zhang; Guangxuan Xiao; Chuang Gan 001; Song Han 003 (CoRR, 2024)

X-VILA: Cross-Modality Alignment for Large Language Model. - Hanrong Ye; De-An Huang; Yao Lu 006; Zhiding Yu; Wei Ping; Andrew Tao; Jan Kautz; Song Han 003; Dan Xu 002; Pavlo Molchanov 001; Hongxu Yin (CoRR, 2024)

VILA2: VILA Augmented VILA. - Yunhao Fang; Ligeng Zhu; Yao Lu 006; Yan Wang 051; Pavlo Molchanov 001; Jang Hyun Cho; Marco Pavone 001; Song Han 003; Hongxu Yin (CoRR, 2024)

Wolf: Captioning Everything with a World Summarization Framework. - Boyi Li; Ligeng Zhu; Ran Tian; Shuhan Tan; Yuxiao Chen 008; Yao Lu 006; Yin Cui; Sushant Veer; Max Ehrlich; Jonah Philion; Xinshuo Weng; Fuzhao Xue; et al. (CoRR, 2024)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Fuzhao Xue; Yukang Chen; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Ethan He; Hongxu Yin; et al. (CoRR, 2024)

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers. - Enze Xie; Junsong Chen; Junyu Chen 003; Han Cai; Haotian Tang; Yujun Lin 001; Zhekai Zhang; Muyang Li; Ligeng Zhu; Yao Lu 006; Song Han 003 (CoRR, 2024)

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models. - Junyu Chen 003; Han Cai; Junsong Chen; Enze Xie; Shang Yang; Haotian Tang; Muyang Li; Yao Lu 006; Song Han 003 (CoRR, 2024)

COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training. - Haocheng Xi; Han Cai; Ligeng Zhu; Yao Lu 006; Kurt Keutzer; Jianfei Chen; Song Han 003 (CoRR, 2024)

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models. - Muyang Li; Yujun Lin 001; Zhekai Zhang; Tianle Cai; Xiuyu Li; Junxian Guo; Enze Xie; Chenlin Meng; Jun-Yan Zhu; Song Han 003 (CoRR, 2024)

NVILA: Efficient Frontier Visual Language Models. - Zhijian Liu; Ligeng Zhu; Baifeng Shi; Zhuoyang Zhang; Yuming Lou; Shang Yang; Haocheng Xi; Shiyi Cao; Yuxian Gu; Dacheng Li; Xiuyu Li; Yunhao Fang; et al. (CoRR, 2024)

Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning. - Zhijian Liu; Haotian Tang; Yujun Lin 001; Song Han 003 (World Sci. Annu. Rev. Artif. Intell., 2024)

NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. - Zhiding Liang; Jinglei Cheng; Hang Ren; Hanrui Wang 002; Fei Hua; Zhixin Song; Yongshan Ding 001; Frederic T. Chong; Song Han 003; Xuehai Qian; Yiyu Shi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. - Ji Lin 002; Jiaming Tang; Haotian Tang; Shang Yang; Guangxuan Xiao; Song Han 003 (GetMobile Mob. Comput. Commun., 2024)

NVILA: Efficient Frontier Visual Language Models. - Zhijian Liu; Ligeng Zhu; Baifeng Shi; Zhuoyang Zhang; Yuming Lou; Shang Yang; Haocheng Xi; Shiyi Cao; Yuxian Gu; Dacheng Li; Xiuyu Li; Haotian Tang; et al. (CVPR, 2025)

Scaling Vision Pre-Training to 4K Resolution. - Baifeng Shi; Boyi Li; Han Cai; Yao Lu 006; Sifei Liu; Marco Pavone 001; Jan Kautz; Song Han 003; Trevor Darrell; Pavlo Molchanov 001; Hongxu Yin (CVPR, 2025)

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. - Qingqing Zhao; Yao Lu 006; Moo Jin Kim; Zipeng Fu; Zhuoyang Zhang; Yecheng Wu; Zhaoshuo Li; Qianli Ma; Song Han 003; Chelsea Finn; Ankur Handa; Tsung-Yi Lin; et al. (CVPR, 2025)

LEGO: Spatial Accelerator Generation and Optimization for Tensor Applications. - Yujun Lin 001; Zhekai Zhang; Song Han 003 (HPCA, 2025)

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models. - Junyu Chen 003; Han Cai; Junsong Chen; Enze Xie; Shang Yang; Haotian Tang; Muyang Li; Song Han 003 (ICLR, 2025)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Yukang Chen; Fuzhao Xue; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Yihui He; Hongxu Yin; et al. (ICLR, 2025)

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer. - Haotian Tang; Yecheng Wu; Shang Yang; Enze Xie; Junsong Chen; Junyu Chen 003; Zhuoyang Zhang; Han Cai; Yao Lu 006; Song Han 003 (ICLR, 2025)

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation. - Yecheng Wu; Zhuoyang Zhang; Junyu Chen 003; Haotian Tang; Dacheng Li; Yunhao Fang; Ligeng Zhu; Enze Xie; Hongxu Yin; Li Yi; Song Han 003; Yao Lu 006 (ICLR, 2025)

COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training. - Haocheng Xi; Han Cai; Ligeng Zhu; Yao Lu 006; Kurt Keutzer; Jianfei Chen; Song Han 003 (ICLR, 2025)

DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. - Guangxuan Xiao; Jiaming Tang; Jingwei Zuo; Junxian Guo; Shang Yang; Haotian Tang; Yao Fu; Song Han 003 (ICLR, 2025)

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers. - Enze Xie; Junsong Chen; Junyu Chen 003; Han Cai; Haotian Tang; Yujun Lin 001; Zhekai Zhang; Muyang Li; Ligeng Zhu; Yao Lu 006; Song Han 003 (ICLR, 2025)

Transitive Array: An Efficient GEMM Accelerator with Result Reuse. - Cong Guo 003; Chiyue Wei; Jiaming Tang; Bowen Duan; Song Han 003; Hai Li 001; Yiran Chen 001 (ISCA, 2025)

QPlacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. - Junyao Zhang; Hanrui Wang 002; Qi Ding; Jiaqi Gu 002; Reouven Assouly; William D. Oliver; Song Han 003; Kenneth R. Brown; Hai Li 001; Yiran Chen 001 (ISCA, 2025)

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer. - Enze Xie; Junsong Chen; Yuyang Zhao; Jincheng Yu; Ligeng Zhu; Yujun Lin 001; Zhekai Zhang; Muyang Li; Junyu Chen 003; Han Cai; Bingchen Liu; Daquan Zhou; et al. (CoRR, 2025)

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity. - Haocheng Xi; Shuo Yang; Yilong Zhao; Chenfeng Xu; Muyang Li; Xiuyu Li; Yujun Lin 001; Han Cai; Jintao Zhang; Dacheng Li; Jianfei Chen; Ion Stoica; et al. (CoRR, 2025)

Twilight: Adaptive Attention Sparsity with Hierarchical Top-p Pruning. - Chaofan Lin; Jiaming Tang; Shuo Yang; Hanshuo Wang; Tian Tang; Boyu Tian; Ion Stoica; Song Han 003; Mingyu Gao 001 (CoRR, 2025)

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. - Shang Yang; Junxian Guo; Haotian Tang; Qinghao Hu 004; Guangxuan Xiao; Jiaming Tang; Yujun Lin 001; Zhijian Liu; Yao Lu 006; Song Han 003 (CoRR, 2025)

WorldModelBench: Judging Video Generation Models As World Models. - Dacheng Li; Yunhao Fang; Yukang Chen; Shuo Yang; Shiyi Cao; Justin Wong; Michael Luo; Xiaolong Wang 004; Hongxu Yin; Joseph E. Gonzalez; Ion Stoica; Song Han 003; et al. (CoRR, 2025)

Token-Efficient Long Video Understanding for Multimodal LLMs. - Jindong Jiang; Xiuyu Li; Zhijian Liu; Muyang Li; Guo Chen 006; Zhiqi Li; De-An Huang; Guilin Liu; Zhiding Yu; Kurt Keutzer; Sungjin Ahn; Jan Kautz; et al. (CoRR, 2025)

SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation. - Junsong Chen; Shuchen Xue; Yuyang Zhao; Jincheng Yu; Sayak Paul; Junyu Chen 003; Han Cai; Enze Xie; Song Han 003 (CoRR, 2025)

FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention. - Guangxuan Xiao; Tianwei Yin; William T. Freeman; Frédo Durand; Song Han 003 (Int. J. Comput. Vis., 2025)

Sailor: Automating Distributed Training over Dynamic, Heterogeneous, and Geo-distributed Clusters. - Foteini Strati; Zhendong Zhang; George Manos; Ixeia Sánchez Périz; Qinghao Hu 004; Tiancheng Chen; Berk Buzcu; Song Han 003; Pamela Delgado; Ana Klimovic (CoRR, 2025)

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation. - Shuo Yang; Haocheng Xi; Yilong Zhao; Muyang Li; Jintao Zhang; Han Cai; Yujun Lin 001; Xiuyu Li; Chenfeng Xu; Kelly Peng; Jianfei Chen; Song Han 003; et al. (CoRR, 2025)

Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding. - Chengyue Wu; Hao Zhang 097; Shuchen Xue; Zhijian Liu; Shizhe Diao; Ligeng Zhu; Ping Luo 002; Song Han 003; Enze Xie (CoRR, 2025)

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity. - Samir Khaki; Xiuyu Li; Junxian Guo; Ligeng Zhu; Chenfeng Xu; Konstantinos N. Plataniotis; Amir Yazdanbakhsh; Kurt Keutzer; Song Han 003; Zhijian Liu (CoRR, 2025)

Radial Attention: O(n log n) Sparse Attention with Energy Decay for Long Video Generation. - Xingyang Li; Muyang Li; Tianle Cai; Haocheng Xi; Shuo Yang; Yujun Lin 001; Lvmin Zhang; Songlin Yang; Jinbo Hu; Kelly Peng; Maneesh Agrawala; Ion Stoica; et al. (CoRR, 2025)

Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation. - Zhuoyang Zhang; Luke J. Huang; Chengyue Wu; Shang Yang; Kelly Peng; Yao Lu 006; Song Han 003 (CoRR, 2025)

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer. - Yecheng Wu; Junyu Chen 003; Zhuoyang Zhang; Enze Xie; Jincheng Yu; Junsong Chen; Jinyi Hu; Yao Lu 006; Song Han 003; Han Cai (CoRR, 2025)

Scaling RL to Long Videos. - Yukang Chen; Wei Huang; Baifeng Shi; Qinghao Hu 004; Hanrong Ye; Ligeng Zhu; Zhijian Liu; Pavlo Molchanov 001; Jan Kautz; Xiaojuan Qi; Sifei Liu; Hongxu Yin; et al. (CoRR, 2025)

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos. - Ruihan Yang; Qinxi Yu; Yecheng Wu; Rui Yan; Borui Li; An-Chieh Cheng; Xueyan Zou; Yunhao Fang; Xuxin Cheng; Ri-Zhao Qiu; Hongxu Yin; Sifei Liu; et al. (CoRR, 2025)

DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space. - Junyu Chen 003; Dongyun Zou; Wenkun He; Junsong Chen; Enze Xie; Song Han 003; Han Cai (CoRR, 2025)