Chaofan Tao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Digital Mammography

Invariant Features

Top Venues

Publications

Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. CoRR (2024)
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) (2024)
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 (2024)
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 (2024)
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 (2024)
Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Jiujun He, Liang Wu, Chaofan Tao, Fengmao Lv
Source-free domain adaptation with unrestricted source hypothesis. Pattern Recognit. 149 (2024)
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 (2024)
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. CoRR (2023)
Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers. CoRR (2023)
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)
Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers. CoRR (2023)
Binxiao Huang, Rui Lin, Chaofan Tao, Ngai Wong
A Spectral Perspective towards Understanding and Improving Adversarial Robustness. CoRR (2023)
Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers. ICML (2023)
Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study. CoRR (2022)
Chaofan Tao, Ngai Wong
ODG-Q: Robust Quantization via Online Domain Generalization. CoRR (2022)
Chaofan Tao, Ngai Wong
ODG-Q: Robust Quantization via Online Domain Generalization. ICPR (2022)
Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. EMNLP (2022)
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 (2022)
Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. CoRR (2022)
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)
Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
Frequency Regularization for Improving Adversarial Robustness. CoRR (2022)
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)
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 (2021)
Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation. CoRR (2021)
Cong Chen, Chaofan Tao, Ngai Wong
LiteGT: Efficient and Lightweight Graph Transformers. CIKM (2021)
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
A case-based interpretable deep learning model for classification of mass lesions in digital mammography. Nat. Mach. Intell. 3 (12) (2021)
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 (2021)
Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo
Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction. ECCV (21) (2020)
Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction. CoRR (2020)
Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation. CoRR (2019)
Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection. AAAI (2019)