Chaofan Tao

65 papers A* 8A 1B 2Journal 49Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models.
CoRR
Junyu Chen, Jungang Li, Jing Xiong, Wenjie Wang, Qingyao Yang, He Xiao, Zhen Li, Taiqiang Wu, Mengzhao Chen, Zhen Peng, Chaofan Tao, Long Shi, Hongxia Yang, Ngai Wong
2026 J jnl
Beyond Outliers: A Data-Free Layer-wise Mixed-Precision Quantization Approach Driven by Numerical and Structural Dual-Sensitivity.
CoRR
Hengyuan Zhang, Xinrong Chen, Zunhai Su, Xiao Liang, Jing Xiong, Wendong Xu, He Xiao, Chaofan Tao, Wei Zhang, Ruobing Xie, Lei Ji, Hayden Kwok-Hay So, Ngai Wong
2026 J jnl
DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning.
CoRR
Zhongwei Wan, Yun Shen, Zhihao Dou, Donghao Zhou, Yu Zhang, Xin Wang, Hui Shen, Jing Xiong, Chaofan Tao, Zixuan Zhong, Peizhou Huang, Mi Zhang
2026 J jnl
From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation.
CoRR
Yuxin Jiang, Yufei Wang, Qiyuan Zhang, Xingshan Zeng, Liangyou Li, Jierun Chen, Chaofan Tao, Haoli Bai, Lifeng Shang
2026 J jnl
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models.
CoRR
Hengyuan Zhang, Zhihao Zhang, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Ercong Nie, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schütze, Xuanjing Huang, Qi Zhang, Ngai Wong
2026 J jnl
MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents.
CoRR
Peizhou Huang, Zixuan Zhong, Zhongwei Wan, Donghao Zhou, Samiul Alam, Xin Wang, Zexin Li, Zhihao Dou, Li Zhu, Jing Xiong, Chaofan Tao, Yan Xu, Dimitrios Dimitriadis, Tuo Zhang, Mi Zhang
2026 J jnl
MMFormalizer: Multimodal Autoformalization in the Wild.
CoRR
Jing Xiong, Qi Han, Yunta Hsieh, Hui Shen, Huajian Xin, Chaofan Tao, Chenyang Zhao, Hengyuan Zhang, Taiqiang Wu, Zhen Zhang, Haochen Wang, Zhongwei Wan, Lingpeng Kong, Ngai Wong
2026 J jnl
OVD: On-policy Verbal Distillation.
CoRR
Jing Xiong, Hui Shen, Shansan Gong, Yuxin Cheng, Jianghan Shen, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Ngai Wong
2026 J jnl
SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving.
CoRR
Chaofan Tao, Jierun Chen, Yuxin Jiang, Kaiqi Kou, Shaowei Wang, Ruoyu Wang, Xiaohui Li, Sidi Yang, Yiming Du, Jianbo Dai, Zhiming Mao, Xinyu Wang, Lifeng Shang, Haoli Bai
2026 J jnl
The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs.
Trans. Mach. Learn. Res.
Jierun Chen, Tiezheng Yu, Haoli Bai, Lewei Yao, Jiannan Wu, Kaican Li, Fei Mi, Chaofan Tao, Lei Zhu, Manyi Zhang, Xiao-Hui Li, Lu Hou, Lifeng Shang, Qun Liu
2025 J jnl
ATTS: Asynchronous Test-Time Scaling via Conformal Prediction.
CoRR
Jing Xiong, Qiujiang Chen, Fanghua Ye, Zhongwei Wan, Chuanyang Zheng, Chenyang Zhao, Hui Shen, Alexander Hanbo Li, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Lingpeng Kong, Ngai Wong
2025 J jnl
AnchorTP: Resilient LLM Inference with State-Preserving Elastic Tensor Parallelism.
CoRR
Wendong Xu, Chujie Chen, He Xiao, Kuan Li, Jing Xiong, Chen Zhang, Wenyong Zhou, Chaofan Tao, Yang Bai, Bei Yu, Ngai Wong
2025 J jnl
Autoregressive Models in Vision: A Survey.
Trans. Mach. Learn. Res.
Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong
2025 A* conf
D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models.
ICLR
Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang
2025 J jnl
Efficient Diffusion Models: A Survey.
CoRR
Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang
2025 J jnl
Efficient Diffusion Models: A Survey.
Trans. Mach. Learn. Res.
Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang
2025 J jnl
Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS.
CoRR
Alex ZH Dou, Zhongwei Wan, Dongfei Cui, Xin Wang, Jing Xiong, Haokun Lin, Chaofan Tao, Shen Yan, Mi Zhang
2025 J jnl
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation.
CoRR
Hengyuan Zhang, Shiping Yang, Xiao Liang, Chenming Shang, Yuxuan Jiang, Chaofan Tao, Jing Xiong, Hayden Kwok-Hay So, Ruobing Xie, Angel X. Chang, Ngai Wong
2025 J jnl
LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction.
CoRR
Weichu Liu, Jing Xiong, Yuxuan Hu, Zixuan Li, Minghuan Tan, Ningning Mao, Chenyang Zhao, Zhongwei Wan, Chaofan Tao, Wendong Xu, Hui Shen, Chengming Li, Lingpeng Kong, Ngai Wong
2025 — conf
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation.
ACL (Findings)
Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang
2025 J jnl
MMSearch-Plus: A Simple Yet Challenging Benchmark for Multimodal Browsing Agents.
CoRR
Xijia Tao, Yihua Teng, Xinxing Su, Xinyu Fu, Jihao Wu, Chaofan Tao, Ziru Liu, Haoli Bai, Rui Liu, Lingpeng Kong
2025 J jnl
PhyX: Does Your Model Have the "Wits" for Physical Reasoning?
CoRR
Hui Shen, Taiqiang Wu, Qi Han, Yunta Hsieh, Jizhou Wang, Yuyue Zhang, Yuxin Cheng, Zijian Hao, Yuansheng Ni, Xin Wang, Zhongwei Wan, Kai Zhang, Wendong Xu, Jing Xiong, Ping Luo, Wenhu Chen, Chaofan Tao, Zhuoqing Mao, Ngai Wong
2025 B conf
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.
COLING
Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong
2025 J jnl
SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning.
CoRR
Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan
2025 J jnl
SwingArena: Competitive Programming Arena for Long-context GitHub Issue Solving.
CoRR
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, Ying Sheng, Zhijiang Guo, Hongxia Yang, Bei Yu, Lingpeng Kong, Quanquan Gu, Ngai Wong
2025 J jnl
The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs.
CoRR
Jierun Chen, Tiezheng Yu, Haoli Bai, Lewei Yao, Jiannan Wu, Kaican Li, Fei Mi, Chaofan Tao, Lei Zhu, Manyi Zhang, Xiaohui Li, Lu Hou, Lifeng Shang, Qun Liu
2025 A* conf
UNComp: Can Matrix Entropy Uncover Sparsity? - A Compressor Design from an Uncertainty-Aware Perspective.
EMNLP
Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Min Yang, Lingpeng Kong, Ngai Wong
2024 J jnl
Autoregressive Models in Vision: A Survey.
CoRR
Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong
2024 A* conf
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
ICML
Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang
2024 J jnl
D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.
CoRR
Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang
2024 J jnl
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong
2024 J jnl
Electrocardiogram Instruction Tuning for Report Generation.
CoRR
Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang
2024 J jnl
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations.
IEEE Trans. Neural Networks Learn. Syst.
Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong
2024 J jnl
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality.
CoRR
Chaofan Tao, Gukyeong Kwon, Varad Gunjal, Hao Yang, Zhaowei Cai, Yonatan Dukler, Ashwin Swaminathan, R. Manmatha, Colin J. Taylor, Stefano Soatto
2024 J jnl
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models.
CoRR
Taiqiang Wu, Chaofan Tao, Jiahao Wang, Zhe Zhao, Ngai Wong
2024 A* conf
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.
ICML
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
2024 J jnl
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.
CoRR
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
2024 A* conf
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.
NeurIPS
Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
2024 J jnl
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.
CoRR
Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
2024 J jnl
Source-free domain adaptation with unrestricted source hypothesis.
Pattern Recognit.
Jiujun He, Liang Wu, Chaofan Tao, Fengmao Lv
2024 J jnl
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference.
CoRR
Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong
2023 J jnl
A Spectral Perspective towards Understanding and Improving Adversarial Robustness.
CoRR
Binxiao Huang, Rui Lin, Chaofan Tao, Ngai Wong
2023 J jnl
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
CoRR
Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang
2023 J jnl
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.
CoRR
Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong
2023 — conf
Structured Pruning for Efficient Generative Pre-trained Language Models.
ACL (Findings)
Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
2023 A* conf
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
ICML
Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang
2023 J jnl
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
CoRR
Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang
2022 — conf
Compression of Generative Pre-trained Language Models via Quantization.
ACL (1)
Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
2022 J jnl
Compression of Generative Pre-trained Language Models via Quantization.
CoRR
Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
2022 J jnl
Frequency Regularization for Improving Adversarial Robustness.
CoRR
Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
2022 A* conf
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling.
EMNLP
Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu
2022 J jnl
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling.
CoRR
Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu
2022 B conf
ODG-Q: Robust Quantization via Online Domain Generalization.
ICPR
Chaofan Tao, Ngai Wong
2022 J jnl
ODG-Q: Robust Quantization via Online Domain Generalization.
CoRR
Chaofan Tao, Ngai Wong
2022 J jnl
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study.
CoRR
Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
2021 J jnl
A case-based interpretable deep learning model for classification of mass lesions in digital mammography.
Nat. Mach. Intell.
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021 — conf
BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing.
ASICON
Yuan Ren, Rui Lin, Jie Ran, Chang Liu, Chaofan Tao, Zhongrui Wang, Can Li, Ngai Wong
2021 J jnl
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation.
CoRR
Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong
2021 J jnl
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography.
CoRR
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021 J jnl
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.
CoRR
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin
2021 A conf
LiteGT: Efficient and Lightweight Graph Transformers.
CIKM
Cong Chen, Chaofan Tao, Ngai Wong
2020 — conf
Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction.
ECCV (21)
Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo
2020 J jnl
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction.
CoRR
Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo
2019 A* conf
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection.
AAAI
Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen
2019 J jnl
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation.
CoRR
Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu