Chen, Can

21 publications

TMLR 2026 Offline Model-Based Optimization: Comprehensive Review Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen

ICLR 2025 3DMolFormer: A Dual-Channel Framework for Structure-Based Drug Discovery Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu

ICML 2025 AffinityFlow: Guided Flows for Antibody Affinity Maturation Can Chen, Karla-Luise Herpoldt, Chenchao Zhao, Zichen Wang, Marcus D. Collins, Shang Shang, Ron Benson

ICLRW 2025 AffinityFlow: Guided Flows for Antibody Affinity Maturation Can Chen, Karla-Luise Herpoldt, Chenchao Zhao, Zichen Wang, Marcus D. Collins, Shang Shang, Ron Benson

TMLR 2025 Design Editing for Offline Model-Based Optimization Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu

ICLRW 2025 Design Editing for Offline Model-Based Optimization Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu

AAAI 2025 Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang

TMLR 2025 LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling Can Chen, Gabriel L. Oliveira, Hossein Sharifi-Noghabi, Tristan Sylvain

ICML 2025 Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting Can Chen, Jun-Kun Wang

ICLR 2025 ParetoFlow: Guided Flows in Multi-Objective Optimization Ye Yuan, Can Chen, Christopher Pal, Xue Liu

NeurIPSW 2024 Enhance Time Series Modeling by Integrating LLM Can Chen, Gabriel L. Oliveira, Hossein Sharifi-Noghabi, Tristan Sylvain

TMLR 2024 Robust Guided Diffusion for Offline Black-Box Optimization Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal

ICML 2023 Bidirectional Learning for Offline Model-Based Biological Sequence Design Can Chen, Yingxue Zhang, Xue Liu, Mark Coates

NeurIPS 2023 Importance-Aware Co-Teaching for Offline Model-Based Optimization Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue Liu

NeurIPS 2023 Parallel-Mentoring for Offline Model-Based Optimization Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Chris Pal

NeurIPS 2022 Bidirectional Learning for Offline Infinite-Width Model-Based Optimization Can Chen, Yingxueff Zhang, Jie Fu, Xue Liu, Mark Coates

NeurIPS 2021 Generalized DataWeighting via Class-Level Gradient Manipulation Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou

WACV 2019 Analyzing Modern Camera Response Functions Can Chen, Scott McCloskey, Jingyi Yu

CVPR 2017 Image Splicing Detection via Camera Response Function Analysis Can Chen, Scott McCloskey, Jingyi Yu

ICCV 2015 Depth Recovery from Light Field Using Focal Stack Symmetry Haiting Lin, Can Chen, Sing Bing Kang, Jingyi Yu

CVPR 2014 Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras Can Chen, Haiting Lin, Zhan Yu, Sing Bing Kang, Jingyi Yu