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Chaofan Tao
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2020 – today
- 2024
- [j4]Jiujun He
, Liang Wu, Chaofan Tao, Fengmao Lv
Source-free domain adaptation with unrestricted source hypothesis. Pattern Recognit. 149: 110246 (2024) - [j3]Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong:
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1613-1617 (2024) - [j2]Chaofan Tao
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2640-2654 (2024) - [c11]Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo:
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. ICML 2024 - [c10]Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang:
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers. ICML 2024 - [i20]Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo:
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. CoRR abs/2402.16117 (2024) - [i19]Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang:
Electrocardiogram Instruction Tuning for Report Generation. CoRR abs/2403.04945 (2024) - [i18]Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong:
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. CoRR abs/2404.02657 (2024) - [i17]Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang:
D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models. CoRR abs/2406.13035 (2024) - [i16]Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong:
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. CoRR abs/2407.13623 (2024) - [i15]Chaofan Tao, Gukyeong Kwon, Varad Gunjal, Hao Yang, Zhaowei Cai, Yonatan Dukler, Ashwin Swaminathan, R. Manmatha, Colin J. Taylor, Stefano Soatto:
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality. CoRR abs/2408.09511 (2024) - 2023
- [c9]Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong:
Structured Pruning for Efficient Generative Pre-trained Language Models. ACL (Findings) 2023: 10880-10895 - [c8]Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang:
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers. ICML 2023: 31292-31311 - [i14]Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang:
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers. CoRR abs/2301.13741 (2023) - [i13]Jiajun Zhou
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. CoRR abs/2302.12510 (2023) - [i12]Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang:
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers. CoRR abs/2305.17455 (2023) - [i11]Binxiao Huang, Rui Lin, Chaofan Tao, Ngai Wong:
A Spectral Perspective towards Understanding and Improving Adversarial Robustness. CoRR abs/2306.14262 (2023) - 2022
- [c7]Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong:
Compression of Generative Pre-trained Language Models via Quantization. ACL (1) 2022: 4821-4836 - [c6]Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. EMNLP 2022: 7985-7997 - [c5]Chaofan Tao, Ngai Wong:
ODG-Q: Robust Quantization via Online Domain Generalization. ICPR 2022: 1822-1828 - [i10]Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong:
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study. CoRR abs/2203.08739 (2022) - [i9]Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong:
Compression of Generative Pre-trained Language Models via Quantization. CoRR abs/2203.10705 (2022) - [i8]Chaofan Tao, Ngai Wong:
ODG-Q: Robust Quantization via Online Domain Generalization. CoRR abs/2210.08701 (2022) - [i7]Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. CoRR abs/2210.11929 (2022) - [i6]Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong:
Frequency Regularization for Improving Adversarial Robustness. CoRR abs/2212.12732 (2022) - 2021
- [j1]Alina Jade Barnett
A case-based interpretable deep learning model for classification of mass lesions in digital mammography. Nat. Mach. Intell. 3(12): 1061-1070 (2021) - [c4]Yuan Ren, Rui Lin, Jie Ran, Chang Liu, Chaofan Tao, Zhongrui Wang, Can Li, Ngai Wong:
BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing. ASICON 2021: 1-4 - [c3]Cong Chen, Chaofan Tao, Ngai Wong:
LiteGT: Efficient and Lightweight Graph Transformers. CIKM 2021: 161-170 - [i5]Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong:
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation. CoRR abs/2102.07444 (2021) - [i4]Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin:
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. CoRR abs/2103.12308 (2021) - [i3]Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin:
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. CoRR abs/2107.05605 (2021) - 2020
- [c2]Chaofan Tao
Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction. ECCV (21) 2020: 547-563 - [i2]Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo:
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction. CoRR abs/2008.00777 (2020)
2010 – 2019
- 2019
- [c1]Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen:
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection. AAAI 2019: 8110-8117 - [i1]Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu:
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation. CoRR abs/1904.09601 (2019)
Coauthor Index
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last updated on 2024-10-11 17:27 CEST by the dblp team
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