Can Chen

According to our database, Can Chen authored at least 21 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

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

IEEE Commun. Surv. Tutorials, June, 2025

Structure-Aligned Protein Language Model.

Can Chen, David Heurtel-Depeiges, Robert M. Vernon, Christopher James Langmead, Yoshua Bengio, Quentin Fournier

CoRR, May, 2025

TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design.

Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu

CoRR, March, 2025

Offline Model-Based Optimization: Comprehensive Review.

Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen

CoRR, March, 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

Trans. Mach. Learn. Res., 2025

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery.

Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ParetoFlow: Guided Flows in Multi-Objective Optimization.

Ye Yuan, Can Chen, Christopher Pal, Xue Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation.

Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou

Neurocomputing, March, 2024

Robust Guided Diffusion for Offline Black-Box Optimization.

Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal

Trans. Mach. Learn. Res., 2024

Retrieval-Augmented Generation for Natural Language Processing: A Survey.

Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue

CoRR, 2024

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

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

CoRR, 2024

2023

Importance-aware Co-teaching for Offline Model-based Optimization.

Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Parallel-mentoring for Offline Model-based Optimization.

Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bidirectional Learning for Offline Model-based Biological Sequence Design.

Can Chen, Yingxue Zhang, Xue Liu, Mark Coates

Proceedings of the International Conference on Machine Learning, 2023

2022

Gradient-based Bi-level Optimization for Deep Learning: A Survey.

Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu

CoRR, 2022

SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce.

Shuhao Zheng, Junliang Luo, Erqun Dong, Can Chen, Xue Liu

CoRR, 2022

Unbiased Implicit Feedback via Bi-level Optimization.

Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu

CoRR, 2022

Structure-aware Protein Self-supervised Learning.

Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou

CoRR, 2022

Bidirectional Learning for Offline Infinite-width Model-based Optimization.

Can Chen, Yingxue Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Generalized Data Weighting via Class-level Gradient Manipulation.

Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou

CoRR, 2021

Generalized DataWeighting via Class-Level Gradient Manipulation.

Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021