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ORCIDCan Chen 0005
Person information
- affiliation: McGill University, School of Computer Science, Montreal, QC, Canada
Other persons with the same name
- Can Chen — disambiguation page
- Can Chen 0001 — Changzhou University, China
- Can Chen 0002 — Honghe University, Center for Nonlinear Science Research, College of Mathematics, Mengzi, China
- Can Chen 0003
![[0000-0003-2310-0074]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2310-0074")
— University of North Carolina at Chapel Hill, School of Data Science and Society, NC, USA (and 2 more) - Can Chen 0004 — University of Delaware, Newark, DE, USA
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2020 – today
- 2025
[j4]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:
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. IEEE Commun. Surv. Tutorials 27(3): 1955-2005 (2025)- [j3]Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu:
Design Editing for Offline Model-based Optimization. Trans. Mach. Learn. Res. 2025 (2025) - [c7]Ye Yuan, Can Chen, Christopher Pal, Xue Liu:
ParetoFlow: Guided Flows in Multi-Objective Optimization. ICLR 2025 - [c6]Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu:
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery. ICLR 2025 - [i19]Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu:
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery. CoRR abs/2502.05107 (2025) - [i18]Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen:
Offline Model-Based Optimization: Comprehensive Review. CoRR abs/2503.17286 (2025) - [i17]Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu:
TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design. CoRR abs/2503.20913 (2025) - [i16]Can Chen, David Heurtel-Depeiges, Robert M. Vernon, Christopher James Langmead, Yoshua Bengio, Quentin Fournier:
Structure-Aligned Protein Language Model. CoRR abs/2505.16896 (2025) - 2024
- [j2]Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou:
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. Neurocomputing 574: 127219 (2024) - [j1]Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal:
Robust Guided Diffusion for Offline Black-Box Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [i15]Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou:
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. CoRR abs/2401.00272 (2024) - [i14]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:
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. CoRR abs/2405.10825 (2024) - [i13]Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu:
Design Editing for Offline Model-based Optimization. CoRR abs/2405.13964 (2024) - [i12]Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue:
Retrieval-Augmented Generation for Natural Language Processing: A Survey. CoRR abs/2407.13193 (2024) - [i11]Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Christopher Pal:
Robust Guided Diffusion for Offline Black-Box Optimization. CoRR abs/2410.00983 (2024) - [i10]Ye Yuan, Can Chen, Christopher Pal, Xue Liu:
ParetoFlow: Guided Flows in Multi-Objective Optimization. CoRR abs/2412.03718 (2024) - 2023
- [c5]Can Chen, Yingxue Zhang, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Model-based Biological Sequence Design. ICML 2023: 5351-5366 - [c4]Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal:
Parallel-mentoring for Offline Model-based Optimization. NeurIPS 2023 - [c3]Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu:
Importance-aware Co-teaching for Offline Model-based Optimization. NeurIPS 2023 - [i9]Can Chen, Yingxue Zhang, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Model-based Biological Sequence Design. CoRR abs/2301.02931 (2023) - [i8]Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal:
Parallel-mentoring for Offline Model-based Optimization. CoRR abs/2309.11592 (2023) - [i7]Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue Liu:
Importance-aware Co-teaching for Offline Model-based Optimization. CoRR abs/2309.11600 (2023) - 2022
- [c2]Can Chen, Yingxue Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates:
Bidirectional Learning for Offline Infinite-width Model-based Optimization. NeurIPS 2022 - [i6]Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou:
Structure-aware Protein Self-supervised Learning. CoRR abs/2204.04213 (2022) - [i5]Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu:
Unbiased Implicit Feedback via Bi-level Optimization. CoRR abs/2206.00147 (2022) - [i4]Shuhao Zheng, Junliang Luo, Erqun Dong, Can Chen, Xue Liu:
SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce. CoRR abs/2206.07215 (2022) - [i3]Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu:
Gradient-based Bi-level Optimization for Deep Learning: A Survey. CoRR abs/2207.11719 (2022) - [i2]Can Chen, Yingxue Zhang, Jie Fu, Xue Liu, Mark Coates:
Bidirectional Learning for Offline Infinite-width Model-based Optimization. CoRR abs/2209.07507 (2022) - 2021
- [c1]Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou:
Generalized DataWeighting via Class-Level Gradient Manipulation. NeurIPS 2021: 14097-14109 - [i1]Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou:
Generalized Data Weighting via Class-level Gradient Manipulation. CoRR abs/2111.00056 (2021)
Coauthor Index
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