| ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware H Cai, L Zhu, S Han ICLR 2019, 2019 | 2347 | 2019 |
| Once-for-all: Train one network and specialize it for efficient deployment H Cai, C Gan, T Wang, Z Zhang, S Han ICLR 2020, 2020 | 1569 | 2020 |
| Product-based neural networks for user response prediction Y Qu, H Cai, K Ren, W Zhang, Y Yu, Y Wen, J Wang International Conference on Data Mining (ICDM 2016), 1149-1154, 2016 | 818 | 2016 |
| Efficient Architecture Search by Network Transformation H Cai, T Chen, W Zhang, Y Yu, J Wang AAAI 2018, 2018 | 777* | 2018 |
| Long text generation via adversarial training with leaked information J Guo, S Lu, H Cai, W Zhang, Y Yu, J Wang AAAI 2018, 2018 | 675 | 2018 |
| Tinytl: Reduce memory, not parameters for efficient on-device learning H Cai, C Gan, L Zhu, S Han Neural Information Processing Systems (NeurIPS 2020), 2020 | 394* | 2020 |
| Hat: Hardware-aware transformers for efficient natural language processing H Wang, Z Wu, Z Liu, H Cai, L Zhu, C Gan, S Han ACL 2020, 2020 | 336 | 2020 |
| Real-time bidding by reinforcement learning in display advertising H Cai, K Ren, W Zhang, K Malialis, J Wang, Y Yu, D Guo International Conference on Web Search and Data Mining (WSDM 2017), 661-670, 2017 | 318 | 2017 |
| Path-Level Network Transformation for Efficient Architecture Search H Cai, J Yang, W Zhang, S Han, Y Yu International Conference on Machine Learning (ICML 2018), 2018 | 301 | 2018 |
| Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction H Cai, J Li, M Hu, C Gan, S Han Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 293* | 2023 |
| MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence L Zheng, J Yang, H Cai, W Zhang, J Wang, Y Yu NeurIPS 2017 & AAAI 2018 Demo, 2018 | 260 | 2018 |
| 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 | 245 | 2020 |
| MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning J Lin, WM Chen, H Cai, C Gan, S Han Neural Information Processing Systems (NeurIPS 2021), 2021 | 197* | 2021 |
| Large-scale Interactive Recommendation with Tree-structured Policy Gradient H Chen, X Dai, H Cai, W Zhang, X Wang, R Tang, Y Zhang, Y Yu AAAI 2019, 2019 | 172 | 2019 |
| 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 | 137 | 2022 |
| Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation Y Wang, M Li, H Cai, W Chen, S Han CVPR 2022, 2022 | 132 | 2022 |
| Activation Maximization Generative Adversarial Nets Z Zhou, H Cai, S Rong, Y Song, K Ren, W Zhang, J Wang, Y Yu ICLR 2018, 2018 | 119 | 2018 |
| 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 | 64* | 2019 |
| DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models M Li, T Cai, J Cao, Q Zhang, H Cai, J Bai, Y Jia, MY Liu, K Li, S Han CVPR 2024, 2024 | 51 | 2024 |
| EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss Z Zhang, H Cai, S Han CVPR 2024 eLVM, 2024 | 46 | 2024 |
Song HanMassachusetts Institute of TechnologyVerified email at mit.edu
