MR-NET: Exploiting Mutual Relation for Visual Relationship Detection. - Yi Bin; Yang Yang 002; Chaofan Tao; Zi Huang; Jingjing Li 001; Heng Tao Shen (AAAI, 2019)

MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation. - Chaofan Tao; Fengmao Lv; Lixin Duan; Min Wu 008 (CoRR, 2019)

Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction. - Chaofan Tao; Qinhong Jiang; Lixin Duan; Ping Luo 002 (ECCV (21), 2020)

BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing. - Yuan Ren; Rui Lin; Jie Ran; Chang Liu 094; Chaofan Tao; Zhongrui Wang; Can Li; Ngai Wong 001 (ASICON, 2021)

LiteGT: Efficient and Lightweight Graph Transformers. - Cong Chen 003; Chaofan Tao; Ngai Wong 001 (CIKM, 2021)

FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation. - Chaofan Tao; Rui Lin; Quan Chen 007; Zhaoyang Zhang 004; Ping Luo 002; Ngai Wong 001 (CoRR, 2021)

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography. - Alina Jade Barnett; Fides Regina Schwartz; Chaofan Tao; Chaofan Chen; Yinhao Ren; Joseph Y. Lo; Cynthia Rudin (CoRR, 2021)

Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. - Alina Jade Barnett; Fides Regina Schwartz; Chaofan Tao; Chaofan Chen; Yinhao Ren; Joseph Y. Lo; Cynthia Rudin (CoRR, 2021)

A case-based interpretable deep learning model for classification of mass lesions in digital mammography. - Alina Jade Barnett; Fides Regina Schwartz; Chaofan Tao; Chaofan Chen; Yinhao Ren; Joseph Y. Lo; Cynthia Rudin (Nat. Mach. Intell., 2021)

Compression of Generative Pre-trained Language Models via Quantization. - Chaofan Tao; Lu Hou 002; Wei Zhang 196; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Ping Luo 002; Ngai Wong 001 (ACL (1), 2022)

LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. - Dongsheng Chen; Chaofan Tao; Lu Hou 002; Lifeng Shang; Xin Jiang 002; Qun Liu 001 (EMNLP, 2022)

ODG-Q: Robust Quantization via Online Domain Generalization. - Chaofan Tao; Ngai Wong 001 (ICPR, 2022)

What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study. - Binxiao Huang; Chaofan Tao; Rui Lin; Ngai Wong 001 (CoRR, 2022)

Frequency Regularization for Improving Adversarial Robustness. - Binxiao Huang; Chaofan Tao; Rui Lin; Ngai Wong 001 (CoRR, 2022)

Structured Pruning for Efficient Generative Pre-trained Language Models. - Chaofan Tao; Lu Hou 002; Haoli Bai; Jiansheng Wei; Xin Jiang 002; Qun Liu 001; Ping Luo 002; Ngai Wong 001 (ACL (Findings), 2023)

UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers. - Dachuan Shi; Chaofan Tao; Ying Jin; Zhendong Yang; Chun Yuan; Jiaqi Wang 003 (ICML, 2023)

A Spectral Perspective towards Understanding and Improving Adversarial Robustness. - Binxiao Huang; Rui Lin; Chaofan Tao; Ngai Wong 001 (CoRR, 2023)

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. - Yao Mu 001; Junting Chen; Qinglong Zhang; Shoufa Chen; Qiaojun Yu; Chongjian Ge; Runjian Chen; Zhixuan Liang; Mengkang Hu; Chaofan Tao; Peize Sun; Haibao Yu; et al. (ICML, 2024)

CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers. - Dachuan Shi; Chaofan Tao; Anyi Rao; Zhendong Yang; Chun Yuan; Jiaqi Wang 003 (ICML, 2024)

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. - Chaofan Tao; Qian Liu 012; Longxu Dou; Niklas Muennighoff; Zhongwei Wan; Ping Luo 002; Min Lin; Ngai Wong 001 (NeurIPS, 2024)

Electrocardiogram Instruction Tuning for Report Generation. - Zhongwei Wan; Che Liu; Xin Wang 120; Chaofan Tao; Hui Shen; Zhenwu Peng; Jie Fu 001; Rossella Arcucci; Huaxiu Yao; Mi Zhang 002 (CoRR, 2024)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. - Taiqiang Wu; Chaofan Tao; Jiahao Wang; Zhe Zhao 006; Ngai Wong 001 (CoRR, 2024)

D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models. - Zhongwei Wan; Xinjian Wu; Yu Zhang 133; Yi Xin 003; Chaofan Tao; Zhihong Zhu; Xin Wang 120; Siqi Luo; Jing Xiong; Mi Zhang 002 (CoRR, 2024)

NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality. - Chaofan Tao; Gukyeong Kwon; Varad Gunjal; Hao Yang 043; Zhaowei Cai; Yonatan Dukler; Ashwin Swaminathan; R. Manmatha; Colin J. Taylor; Stefano Soatto (CoRR, 2024)

UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. - Jing Xiong; Jianghan Shen; Fanghua Ye 001; Chaofan Tao; Zhongwei Wan; Jianqiao Lu; Xun Wu; Chuanyang Zheng; Zhijiang Guo; Lingpeng Kong; Ngai Wong 001 (CoRR, 2024)

Source-free domain adaptation with unrestricted source hypothesis. - Jiujun He; Liang Wu 015; Chaofan Tao; Fengmao Lv (Pattern Recognit., 2024)

FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations. - Chaofan Tao; Rui Lin; Quan Chen 007; Zhaoyang Zhang 004; Ping Luo 002; Ngai Wong 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. - Jiajun Zhou; Jiajun Wu 006; Yizhao Gao 002; Yuhao Ding; Chaofan Tao; Boyu Li; Fengbin Tu; Kwang-Ting Cheng; Hayden Kwok-Hay So; Ngai Wong 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. - Zhongwei Wan; Che Liu; Xin Wang 120; Chaofan Tao; Hui Shen; Jing Xiong; Rossella Arcucci; Huaxiu Yao; Mi Zhang 002 (ACL (Findings), 2025)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. - Taiqiang Wu; Chaofan Tao; Jiahao Wang; Runming Yang; Zhe Zhao 006; Ngai Wong 001 (COLING, 2025)

D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models. - Zhongwei Wan; Xinjian Wu; Yu Zhang 133; Yi Xin 003; Chaofan Tao; Zhihong Zhu; Xin Wang 120; Siqi Luo; Jing Xiong; Longyue Wang; Mi Zhang 002 (ICLR, 2025)

Efficient Diffusion Models: A Survey. - Hui Shen; Jingxuan Zhang; Boning Xiong; Rui Hu; Shoufa Chen; Zhongwei Wan; Xin Wang 120; Yu Zhang 133; Zixuan Gong; Guangyin Bao; Chaofan Tao; Yongfeng Huang; et al. (Trans. Mach. Learn. Res., 2025)

Autoregressive Models in Vision: A Survey. - Jing Xiong; Gongye Liu; Lun Huang; Chengyue Wu; Taiqiang Wu; Yao Mu 001; Yuan Yao; Hui Shen; Zhongwei Wan; Jinfa Huang; Chaofan Tao; Shen Yan; et al. (Trans. Mach. Learn. Res., 2025)

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? - Hui Shen; Taiqiang Wu; Qi Han; Yunta Hsieh; Jizhou Wang; Yuyue Zhang; Yuxin Cheng; Zijian Hao; Yuansheng Ni; Xin Wang; Zhongwei Wan; Kai Zhang 033; et al. (CoRR, 2025)

SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving. - Wendong Xu; Jing Xiong; Chenyang Zhao; Qiujiang Chen; Haoran Wang; Hui Shen; Zhongwei Wan; Jianbo Dai; Taiqiang Wu; He Xiao; Chaofan Tao; Z. Morley Mao; et al. (CoRR, 2025)

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning. - Zhongwei Wan; Zhihao Dou; Che Liu; Yu Zhang 133; Dongfei Cui; Qinjian Zhao; Hui Shen; Jing Xiong; Yi Xin 003; Yifan Jiang; Chaofan Tao; Yangfan He; et al. (CoRR, 2025)

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS. - Alex ZH Dou; Zhongwei Wan; Dongfei Cui; Xin Wang 120; Jing Xiong; Haokun Lin; Chaofan Tao; Shen Yan; Mi Zhang 002 (CoRR, 2025)

The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. - Jierun Chen; Tiezheng Yu; Haoli Bai; Lewei Yao; Jiannan Wu; Kaican Li; Fei Mi; Chaofan Tao; Lei Zhu; Manyi Zhang; Xiaohui Li; Lu Hou 002; et al. (CoRR, 2025)