Haotian Tang
Haotian Tang
NVIDIA Corporation, MIT
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Sparse Refinement for Efficient High-Resolution Semantic Segmentation
Z Liu, Z Zhang, S Yang, H Tang, C Xu, K Keutzer, S Han
Efficient Systems and Algorithms for Deep Learning on Point Clouds
H Tang
Massachusetts Institute of Technology, 2022
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