Lee, Chen Yu

32 publications

ICLR 2026 ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality Shayne Longpre, Sneha Kudugunta, Niklas Muennighoff, I-Hung Hsu, Isaac Rayburn Caswell, Alex Pentland, Sercan O Arik, Chen-Yu Lee, Sayna Ebrahimi

ICLR 2026 ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister

ICLR 2026 Supervised Reinforcement Learning: From Expert Trajectories to Step-Wise Reasoning Yihe Deng, I-Hung Hsu, Jun Yan, Zifeng Wang, Rujun Han, Gufeng Zhang, Yanfei Chen, Wei Wang, Tomas Pfister, Chen-Yu Lee

ICLR 2026 Universal Model Routing for Efficient LLM Inference Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Congchao Wang, Zifeng Wang, Alec Go, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar

CVPRW 2025 Exemplar Masking for Multimodal Incremental Learning Yi-Lun Lee, Chen-Yu Lee, Wei-Chen Chiu, Yi-Hsuan Tsai

NeurIPS 2025 Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

ICML 2025 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

ACML 2025 On the Privacy-Preserving Generalized Eigenvalue Problem Wei-Hong Chen, Yu-Feng Huang, Chen Yu Lee, Hung Yi Chen, Shi-Chun Tsai

ICLR 2025 Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling Wenda Xu, Rujun Han, Zifeng Wang, Long Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister

ICLR 2025 Speculative RAG: Enhancing Retrieval Augmented Generation Through Drafting Zilong Wang, Zifeng Wang, Long Le, Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

ICLRW 2025 Universal LLM Routing with Correctness-Based Representation Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Zifeng Wang, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar

ICLR 2024 Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

NeurIPS 2024 TableRAG: Million-Token Table Understanding with Language Models Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister

WACV 2023 Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister

CVPR 2023 Multimodal Prompting with Missing Modalities for Visual Recognition Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu, Chen-Yu Lee

AAAI 2023 Neural Spline Search for Quantile Probabilistic Modeling Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister

CVPR 2023 Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

CVPR 2023 Prefix Conditioning Unifies Language and Label Supervision Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

WACV 2023 Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister

ECCV 2022 DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister

AAAI 2022 Learning from Weakly-Labeled Web Videos via Exploring Sub-Concepts Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister

CVPR 2022 Learning to Prompt for Continual Learning Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister

TMLR 2022 Self-Supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Chen-Yu Lee, Tomas Pfister

ICMLW 2022 Towards Group Robustness in the Presence of Partial Group Labels Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister

ICML 2020 Learning to Branch for Multi-Task Learning Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht

CVPR 2019 Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht

ICML 2018 GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich

ICCV 2017 RoomNet: End-to-End Room Layout Estimation Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich

AISTATS 2016 Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree Chen-Yu Lee, Patrick W. Gallagher, Zhuowen Tu

CVPR 2016 Recursive Recurrent Nets with Attention Modeling for OCR in the Wild Chen-Yu Lee, Simon Osindero

AISTATS 2015 Deeply-Supervised Nets Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu

CVPR 2014 Region-Based Discriminative Feature Pooling for Scene Text Recognition Chen-Yu Lee, Anurag Bhardwaj, Wei Di, Vignesh Jagadeesh, Robinson Piramuthu