Chaofan Tao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation. | 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 |
| 2026 | ACL | Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models. | Hengyuan Zhang, Zhihao Zhang, Ercong Nie, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, 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 Schtze, Xuanjing Huang, Qi Zhang, Ngai Wong |
| 2025 | ACL | MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. | Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang |
| 2025 | COLING | Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. | Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong |
| 2025 | EMNLP | UNComp: Can Matrix Entropy Uncover Sparsity? - A Compressor Design from an Uncertainty-Aware Perspective. | Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Min Yang, Lingpeng Kong, Ngai Wong |
| 2025 | ICLR | D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models. | Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang |
| 2024 | ICML | RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. | 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 | ICML | CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers. | Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang |
| 2023 | ACL | Structured Pruning for Efficient Generative Pre-trained Language Models. | Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong |
| 2023 | ICML | UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers. | Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang |
| 2022 | ACL | Compression of Generative Pre-trained Language Models via Quantization. | Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong |
| 2022 | EMNLP | LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. | Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu |
| 2022 | ICPR | ODG-Q: Robust Quantization via Online Domain Generalization. | Chaofan Tao, Ngai Wong |
| 2021 | CIKM | LiteGT: Efficient and Lightweight Graph Transformers. | Cong Chen, Chaofan Tao, Ngai Wong |
| 2020 | ECCV | Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction. | Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo |
| 2019 | AAAI | MR-NET: Exploiting Mutual Relation for Visual Relationship Detection. | Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen |