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Haotian Tang
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2020 – today
- 2024
- [j7]Yuan Zhang, Haotian Tang, Ye Wu, Bolun Wang, Dalin Yang:
FMCW Radar Human Action Recognition Based on Asymmetric Convolutional Residual Blocks. Sensors 24(14): 4570 (2024) - [c14]Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou:
MoST: Multi-modality Scene Tokenization for Motion Prediction. CVPR 2024: 14988-14999 - [c13]Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia:
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models. ICLR 2024 - [c12]Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han:
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. MLSys 2024 - [i19]Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou:
MoST: Multi-modality Scene Tokenization for Motion Prediction. CoRR abs/2404.19531 (2024) - [i18]Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han:
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving. CoRR abs/2405.04532 (2024) - [i17]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. CoRR abs/2407.19014 (2024) - [i16]Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR abs/2408.10188 (2024) - [i15]Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu:
VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation. CoRR abs/2409.04429 (2024) - 2023
- [j6]Haotian Tang, Jiashan Zheng, Kaiqiang Li:
Global bounded classical solution for an attraction-repulsion chemotaxis system. Appl. Math. Lett. 138: 108532 (2023) - [j5]Lianyin Jia, Haotian Tang, Mengjuan Li, Bingxin Zhao, Shoulin Wei, Haihe Zhou:
An Efficient Association Rule Mining-Based Spatial Keyword Index. Int. J. Data Warehous. Min. 19(2): 1-19 (2023) - [j4]Xueru Wen, Changjiang Zhou, Haotian Tang, Luguang Liang, Hong Qi, Yu Jiang:
End-to-End Entity Detection with Proposer and Regressor. Neural Process. Lett. 55(7): 9269-9294 (2023) - [j3]Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning. World Sci. Annu. Rev. Artif. Intell. 1: 2340003:1-2340003:56 (2023) - [c11]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops 2023: 202-209 - [c10]Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han:
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CVPR 2023: 1200-1211 - [c9]Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han:
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. CVPR 2023: 2061-2070 - [c8]Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L. Rus, Song Han:
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. ICRA 2023: 2774-2781 - [c7]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO 2023: 225-239 - [i14]Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han:
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CoRR abs/2301.08739 (2023) - [i13]Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han:
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. CoRR abs/2303.17605 (2023) - [i12]Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Xingyu Dang, Song Han:
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration. CoRR abs/2306.00978 (2023) - [i11]Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia:
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models. CoRR abs/2309.12307 (2023) - [i10]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR abs/2311.12862 (2023) - 2022
- [j2]Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han:
PVNAS: 3D Neural Architecture Search With Point-Voxel Convolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8552-8568 (2022) - [j1]Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han:
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Trans. Design Autom. Electr. Syst. 27(3): 20:1-20:50 (2022) - [c6]Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han:
TorchSparse: Efficient Point Cloud Inference Engine. MLSys 2022 - [i9]Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han:
TorchSparse: Efficient Point Cloud Inference Engine. CoRR abs/2204.10319 (2022) - [i8]Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han:
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. CoRR abs/2204.11786 (2022) - [i7]Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han:
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution. CoRR abs/2204.11797 (2022) - [i6]Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han:
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. CoRR abs/2205.13542 (2022) - [i5]Xueru Wen, Changjiang Zhou, Haotian Tang, Luguang Liang, Yu Jiang, Hong Qi:
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition. CoRR abs/2210.10240 (2022) - [i4]Xueru Wen, Changjiang Zhou, Haotian Tang, Luguang Liang, Yu Jiang, Hong Qi:
End-to-End Entity Detection with Proposer and Regressor. CoRR abs/2210.10260 (2022) - 2021
- [c5]Zhijian Liu, Haotian Tang, Sibo Zhu, Song Han:
SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss. IROS 2021: 8845-8851 - [c4]Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han:
PointAcc: Efficient Point Cloud Accelerator. MICRO 2021: 449-461 - [i3]Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han:
PointAcc: Efficient Point Cloud Accelerator. CoRR abs/2110.07600 (2021) - 2020
- [c3]Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han:
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. ECCV (28) 2020: 685-702 - [i2]Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han:
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. CoRR abs/2007.16100 (2020)
2010 – 2019
- 2019
- [c2]Haotian Tang, Yiru Zhao, Hongtao Lu:
Unsupervised Person Re-Identification With Iterative Self-Supervised Domain Adaptation. CVPR Workshops 2019: 1536-1543 - [c1]Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Point-Voxel CNN for Efficient 3D Deep Learning. NeurIPS 2019: 963-973 - [i1]Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Point-Voxel CNN for Efficient 3D Deep Learning. CoRR abs/1907.03739 (2019)
Coauthor Index
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last updated on 2024-10-15 20:44 CEST by the dblp team
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