Generalized DataWeighting via Class-Level Gradient Manipulation. - Can Chen 005; Shuhao Zheng; Xi Chen 009; Erqun Dong; Xue (Steve) Liu; Hao Liu 026; Dejing Dou (NeurIPS, 2021)

Generalized Data Weighting via Class-level Gradient Manipulation. - Can Chen 005; Shuhao Zheng; Xi Chen 009; Erqun Dong; Xue Liu 001; Hao Liu 026; Dejing Dou (CoRR, 2021)

Bidirectional Learning for Offline Infinite-width Model-based Optimization. - Can Chen 005; Yingxue Zhang 001; Jie Fu 001; Xue (Steve) Liu; Mark Coates (NeurIPS, 2022)

Structure-aware Protein Self-supervised Learning. - Can Chen 005; Jingbo Zhou; Fan Wang 021; Xue Liu 001; Dejing Dou (CoRR, 2022)

Unbiased Implicit Feedback via Bi-level Optimization. - Can Chen 005; Chen Ma 001; Xi Chen 009; Sirui Song; Hao Liu 026; Xue Liu 001 (CoRR, 2022)

SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce. - Shuhao Zheng; Junliang Luo; Erqun Dong; Can Chen 005; Xue Liu 001 (CoRR, 2022)

Gradient-based Bi-level Optimization for Deep Learning: A Survey. - Can Chen 005; Xi Chen 009; Chen Ma 001; Zixuan Liu 001; Xue Liu 001 (CoRR, 2022)

Bidirectional Learning for Offline Model-based Biological Sequence Design. - Can Chen 005; Yingxue Zhang 001; Xue Liu 001; Mark Coates (ICML, 2023)

Parallel-mentoring for Offline Model-based Optimization. - Can Chen 005; Christopher Beckham; Zixuan Liu 001; Xue (Steve) Liu; Chris Pal (NeurIPS, 2023)

Importance-aware Co-teaching for Offline Model-based Optimization. - Ye Yuan 017; Can Chen 005; Zixuan Liu 001; Willie Neiswanger; Xue (Steve) Liu (NeurIPS, 2023)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue Liu 004; Charlie Jianzhong Zhang; et al. (CoRR, 2024)

Retrieval-Augmented Generation for Natural Language Processing: A Survey. - Shangyu Wu; Ying Xiong; Yufei Cui; Haolun Wu; Can Chen 005; Ye Yuan 017; Lianming Huang; Xue Liu 001; Tei-Wei Kuo; Nan Guan; Chun Jason Xue (CoRR, 2024)

Robust Guided Diffusion for Offline Black-Box Optimization. - Can Chen 005; Christopher Beckham; Zixuan Liu 001; Xue Liu 001; Christopher Pal (Trans. Mach. Learn. Res., 2024)

Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. - Can Chen 005; Hao Liu 026; Zeming Liu; Xue Liu 001; Dejing Dou (Neurocomputing, 2024)

ParetoFlow: Guided Flows in Multi-Objective Optimization. - Ye Yuan 017; Can Chen 005; Christopher Pal; Xue Liu 001 (ICLR, 2025)

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery. - Xiuyuan Hu; Guoqing Liu; Can Chen 005; Yang Zhao 016; Hao Zhang 005; Xue Liu 001 (ICLR, 2025)

Design Editing for Offline Model-based Optimization. - Ye Yuan 017; Youyuan Zhang; Can Chen 005; Haolun Wu; Melody Zixuan Li; Jianmo Li; James J. Clark; Xue Liu 001 (Trans. Mach. Learn. Res., 2025)

Offline Model-Based Optimization: Comprehensive Review. - Minsu Kim 004; Jiayao Gu; Ye Yuan 017; Taeyoung Yun; Zixuan Liu 001; Yoshua Bengio; Can Chen 005 (CoRR, 2025)

TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design. - Xiuyuan Hu; Guoqing Liu; Can Chen 005; Yang Zhao 016; Hao Zhang 005; Xue Liu 001 (CoRR, 2025)

Structure-Aligned Protein Language Model. - Can Chen 005; David Heurtel-Depeiges; Robert M. Vernon; Christopher James Langmead; Yoshua Bengio; Quentin Fournier (CoRR, 2025)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue (Steve) Liu; Jianzhong Zhang 002; et al. (IEEE Commun. Surv. Tutorials, 2025)