| Tsm: Temporal shift module for efficient video understanding J Lin, C Gan, S Han Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 2140 | 2019 |
| Amc: Automl for model compression and acceleration on mobile devices Y He*, J Lin*, Z Liu, H Wang, LJ Li, S Han Proceedings of the European Conference on Computer Vision (ECCV), 784-800, 2018 | 1710 | 2018 |
| Haq: Hardware-aware automated quantization with mixed precision K Wang, Z Liu, Y Lin, J Lin, S Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1111 | 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, 685-702, 2020 | 663 | 2020 |
| Differentiable augmentation for data-efficient gan training S Zhao, Z Liu, J Lin, JY Zhu, S Han Advances in neural information processing systems 33, 7559-7570, 2020 | 651 | 2020 |
| Runtime neural pruning J Lin*, Y Rao*, J Lu, J Zhou Advances in Neural Information Processing Systems, 2181-2191, 2017 | 622 | 2017 |
| Mcunet: Tiny deep learning on iot devices J Lin, WM Chen, Y Lin, C Gan, S Han Advances in neural information processing systems 33, 11711-11722, 2020 | 549 | 2020 |
| Smoothquant: Accurate and efficient post-training quantization for large language models G Xiao, J Lin, M Seznec, H Wu, J Demouth, S Han International Conference on Machine Learning, 38087-38099, 2023 | 518 | 2023 |
| AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration J Lin, J Tang, H Tang, S Yang, WM Chen, WC Wang, G Xiao, X Dang, ... Proceedings of Machine Learning and Systems 6, 87-100, 2024 | 347 | 2024 |
| Lite transformer with long-short range attention Z Wu, Z Liu, J Lin, Y Lin, S Han arXiv preprint arXiv:2004.11886, 2020 | 343 | 2020 |
| Joint monocular 3D vehicle detection and tracking HN Hu, QZ Cai, D Wang, J Lin, M Sun, P Krahenbuhl, T Darrell, F Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 283 | 2019 |
| Gan compression: Efficient architectures for interactive conditional gans M Li, J Lin, Y Ding, Z Liu, JY Zhu, S Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 257 | 2020 |
| Reinforcement learning from imperfect demonstrations Y Gao, H Xu, J Lin, F Yu, S Levine, T Darrell arXiv preprint arXiv:1802.05313, 2018 | 248 | 2018 |
| Defensive quantization: When efficiency meets robustness J Lin, C Gan, S Han arXiv preprint arXiv:1904.08444, 2019 | 246 | 2019 |
| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 219 | 2020 |
| On-device training under 256kb memory J Lin, L Zhu, WM Chen, WC Wang, C Gan, S Han Advances in Neural Information Processing Systems 35, 22941-22954, 2022 | 181 | 2022 |
| Memory-efficient patch-based inference for tiny deep learning J Lin, WM Chen, H Cai, C Gan, S Han Advances in Neural Information Processing Systems 34, 2346-2358, 2021 | 170 | 2021 |
| Consistent-aware deep learning for person re-identification in a camera network J Lin, L Ren, J Lu, J Feng, J Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 153 | 2017 |
| 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) 27 (3 …, 2022 | 99 | 2022 |
| Vila: On pre-training for visual language models J Lin, H Yin, W Ping, P Molchanov, M Shoeybi, S Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 88 | 2024 |
