Can Chen - RankMe

33 papers A* 7Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion Large Language Models for Black-Box Optimization. CoRR Ye Yuan, Can Chen, Zipeng Sun, Dinghuai Zhang, Christopher Pal, Xue Liu
2026	J	`jnl`	Offline Model-Based Optimization: Comprehensive Review. Trans. Mach. Learn. Res. Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen
2026	J	`jnl`	Training Diffusion Language Models for Black-Box Optimization. CoRR Zipeng Sun, Can Chen, Ye Yuan, Haolun Wu, Jiayao Gu, Christopher Pal, Xue (Steve) Liu
2025	A*	`conf`	3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery. ICLR Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu
2025	J	`jnl`	3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery. CoRR Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu
2025	J	`jnl`	Design Editing for Offline Model-based Optimization. Trans. Mach. Learn. Res. Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu
2025	J	`jnl`	Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. IEEE Commun. Surv. Tutorials Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue (Steve) Liu, Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu
2025	J	`jnl`	Offline Model-Based Optimization: Comprehensive Review. CoRR Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen
2025	A*	`conf`	ParetoFlow: Guided Flows in Multi-Objective Optimization. ICLR Ye Yuan, Can Chen, Christopher Pal, Xue Liu
2025	J	`jnl`	Structure-Aligned Protein Language Model. CoRR Can Chen, David Heurtel-Depeiges, Robert M. Vernon, Christopher James Langmead, Yoshua Bengio, Quentin Fournier
2025	J	`jnl`	TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design. CoRR Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu
2024	J	`jnl`	Design Editing for Offline Model-based Optimization. CoRR Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu
2024	J	`jnl`	Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. CoRR Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
2024	J	`jnl`	Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. Neurocomputing Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
2024	J	`jnl`	Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. CoRR Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue Liu, Charlie Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu
2024	J	`jnl`	ParetoFlow: Guided Flows in Multi-Objective Optimization. CoRR Ye Yuan, Can Chen, Christopher Pal, Xue Liu
2024	J	`jnl`	Retrieval-Augmented Generation for Natural Language Processing: A Survey. CoRR Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue
2024	J	`jnl`	Robust Guided Diffusion for Offline Black-Box Optimization. CoRR Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Christopher Pal
2024	J	`jnl`	Robust Guided Diffusion for Offline Black-Box Optimization. Trans. Mach. Learn. Res. Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal
2023	A*	`conf`	Bidirectional Learning for Offline Model-based Biological Sequence Design. ICML Can Chen, Yingxue Zhang, Xue Liu, Mark Coates
2023	J	`jnl`	Bidirectional Learning for Offline Model-based Biological Sequence Design. CoRR Can Chen, Yingxue Zhang, Xue Liu, Mark Coates
2023	A*	`conf`	Importance-aware Co-teaching for Offline Model-based Optimization. NeurIPS Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu
2023	J	`jnl`	Importance-aware Co-teaching for Offline Model-based Optimization. CoRR Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue Liu
2023	A*	`conf`	Parallel-mentoring for Offline Model-based Optimization. NeurIPS Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal
2023	J	`jnl`	Parallel-mentoring for Offline Model-based Optimization. CoRR Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal
2022	A*	`conf`	Bidirectional Learning for Offline Infinite-width Model-based Optimization. NeurIPS Can Chen, Yingxue Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates
2022	J	`jnl`	Bidirectional Learning for Offline Infinite-width Model-based Optimization. CoRR Can Chen, Yingxue Zhang, Jie Fu, Xue Liu, Mark Coates
2022	J	`jnl`	Gradient-based Bi-level Optimization for Deep Learning: A Survey. CoRR Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu
2022	J	`jnl`	SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce. CoRR Shuhao Zheng, Junliang Luo, Erqun Dong, Can Chen, Xue Liu
2022	J	`jnl`	Structure-aware Protein Self-supervised Learning. CoRR Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou
2022	J	`jnl`	Unbiased Implicit Feedback via Bi-level Optimization. CoRR Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu
2021	J	`jnl`	Generalized Data Weighting via Class-level Gradient Manipulation. CoRR Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou
2021	A*	`conf`	Generalized DataWeighting via Class-Level Gradient Manipulation. NeurIPS Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou