| Deep Leakage from Gradients L Zhu, Z Liu, S Han Conference on Neural Information Processing Systems (NeurIPS), 2019 | 2468 | 2019 |
| AMC: AutoML for Model Compression and Acceleration on Mobile Devices Y He*, J Lin*, Z Liu, H Wang, LJ Li, S Han European Conference on Computer Vision (ECCV), 2018 | 1749 | 2018 |
| HAQ: Hardware-Aware Automated Quantization with Mixed Precision K Wang*, Z Liu*, Y Lin*, J Lin, S Han IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 1151 | 2019 |
| BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation Z Liu*, H Tang*, A Amini, X Yang, H Mao, DL Rus, S Han IEEE International Conference on Robotics and Automation (ICRA), 2023 | 788 | 2023 |
| Point-Voxel CNN for Efficient 3D Deep Learning Z Liu*, H Tang*, Y Lin, S Han Conference on Neural Information Processing Systems (NeurIPS), 2019 | 770 | 2019 |
| Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution H Tang*, Z Liu*, S Zhao, Y Lin, J Lin, H Wang, S Han European Conference on Computer Vision (ECCV), 2020 | 703 | 2020 |
| Differentiable Augmentation for Data-Efficient GAN Training S Zhao, Z Liu, J Lin, JY Zhu, S Han Conference on Neural Information Processing Systems (NeurIPS), 2020 | 678 | 2020 |
| Lite Transformer with Long-Short Range Attention Z Wu*, Z Liu*, J Lin, Y Lin, S Han International Conference on Learning Representations (ICLR), 2020 | 359 | 2020 |
| HAT: Hardware-Aware Transformers for Efficient Natural Language Processing H Wang, Z Wu, Z Liu, H Cai, L Zhu, C Gan, S Han Annual Conference of the Association for Computational Linguistics (ACL), 2020 | 315 | 2020 |
| GAN Compression: Efficient Architectures for Interactive Conditional GANs M Li, J Lin, Y Ding, Z Liu, JY Zhu, S Han IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 268 | 2020 |
| APQ: Joint Search for Network Architecture, Pruning and Quantization Policy T Wang, K Wang, H Cai, J Lin, Z Liu, H Wang, Y Lin, S Han IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 224 | 2020 |
| LongLoRA: Efficient Fine-Tuning of Long-Context Large Language Models Y Chen, S Qian, H Tang, X Lai, Z Liu, S Han, J Jia International Conference on Learning Representations (ICLR), 2024 | 216 | 2024 |
| Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications H Cai*, J Lin*, Y Lin*, Z Liu*, H Tang*, H Wang*, L Zhu*, S Han ACM Transactions on Design Automation of Electronic Systems (TODAES), 2022 | 113 | 2022 |
| Point Transformer V3: Simpler, Faster, Stronger X Wu, L Jiang, PS Wang, Z Liu, X Liu, Y Qiao, W Ouyang, T He, H Zhao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 100 | 2024 |
| TorchSparse: Efficient Point Cloud Inference Engine H Tang*, Z Liu*, X Li*, Y Lin, S Han Conference on Machine Learning and Systems (MLSys), 2022 | 99 | 2022 |
| Unsupervised Discovery of Parts, Structure, and Dynamics Z Xu*, Z Liu*, C Sun, K Murphy, WT Freeman, JB Tenenbaum, J Wu International Conference on Learning Representations (ICLR), 2019 | 99* | 2019 |
| VISTA 2.0: An Open, Data-Driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles A Amini*, TH Wang*, I Gilitschenski, W Schwarting, Z Liu, S Han, ... IEEE International Conference on Robotics and Automation (ICRA), 2022 | 90 | 2022 |
| FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer Z Liu*, X Yang*, H Tang, S Yang, S Han IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 65 | 2023 |
| AutoML for Architecting Efficient and Specialized Neural Networks H Cai*, J Lin*, Y Lin*, Z Liu*, K Wang*, T Wang*, L Zhu*, S Han IEEE Micro, 2019 | 62* | 2019 |
| Efficient and Robust LiDAR-Based End-to-End Navigation Z Liu*, A Amini*, S Zhu, S Karaman, S Han, DL Rus International Conference on Robotics and Automation (ICRA), 2021 | 49 | 2021 |
Song HanMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu