Point-Voxel CNN for Efficient 3D Deep Learning Z Liu*, H Tang*, Y Lin, S Han Advances in Neural Information Processing Systems (NeurIPS, spotlight …, 2019 | 665 | 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 | 569 | 2020 |
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation Z Liu*, H Tang*, A Amini, X Yang, H Mao, D Rus, S Han Internation Conference on Robotics and Automation (ICRA), 2023 | 501 | 2023 |
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration J Lin, J Tang, H Tang, S Yang, X Dang, S Han MLSys 2024, Best Paper Award, 2024 | 157 | 2024 |
Longlora: Efficient fine-tuning of long-context large language models Y Chen, S Qian, H Tang, X Lai, Z Liu, S Han, J Jia Internation Conference on Learning Representations (ICLR, oral presentation), 2024 | 80 | 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) 27 (3 …, 2022 | 80 | 2022 |
TorchSparse: Efficient Point Cloud Inference Engine H Tang*, Z Liu*, X Li*, Y Lin, S Han Fifth Conference on Machine Learning and Systems (MLSys), 2022 | 75 | 2022 |
PointAcc: Efficient Point Cloud Accelerator Y Lin, Z Zhang, H Tang, H Wang, S Han Proceedings of 54th IEEE/ACM International Symposium on Microarchitecture …, 2021 | 58 | 2021 |
Unsupervised person re-identification with iterative self-supervised domain adaptation H Tang, Y Zhao, H Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 48 | 2019 |
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer Z Liu, X Yang, H Tang, S Yang, S Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 35 | 2023 |
PVNAS: 3D neural architecture search with point-voxel convolution Z Liu*, H Tang*, S Zhao, K Shao, S Han IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 32 | 2022 |
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer X Chen, Z Liu, H Tang, L Yi, H Zhao, S Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 19 | 2023 |
SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss Z Liu, H Tang, S Zhu, S Han 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 13 | 2021 |
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs H Tang*, S Yang*, Z Liu, K Hong, Z Yu, X Li, G Dai, Y Wang, S Han Proceedings of the 56th ACM/IEEE International Symposium on …, 2023 | 11* | 2023 |
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving Y Lin*, H Tang*, S Yang*, Z Zhang, G Xiao, C Gan, S Han arXiv preprint arXiv:2405.04532, 2024 | | 2024 |
MoST: Multi-modality Scene Tokenization for Motion Prediction N Mu*, J Ji*, Z Yang*, N Harada*, H Tang*, K Chen*, CR Qi, R Ge, K Goel, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning Z Liu, H Tang, Y Lin, S Han World Scientific Annual Review of Artificial Intelligence, 2023 | | 2023 |
Sparse Refinement for Efficient High-Resolution Semantic Segmentation Z Liu, Z Zhang, S Yang, H Tang, C Xu, K Keutzer, S Han | | 2023 |
Efficient Systems and Algorithms for Deep Learning on Point Clouds H Tang Massachusetts Institute of Technology, 2022 | | 2022 |