Ye Yuan

24 papers A* 3B 1Journal 20
YearRankTypeTitle / 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
From Noise to Order: Learning to Rank via Denoising Diffusion.
CoRR
Sajad Ebrahimi, Bhaskar Mitra, Negar Arabzadeh, Ye Yuan, Haolun Wu, Fattane Zarrinkalam, Ebrahim Bagheri
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
Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization.
CoRR
Linfeng Du, Ye Yuan, Zichen Zhao, Fuyuan Lyu, Emiliano Penaloza, Xiuying Chen, Zipeng Sun, Jikun Kang, Laurent Charlin, Xue Liu, Haolun Wu
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 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
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-Context Learning.
IEEE Wirel. Commun. Lett.
Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Jianzhong Zhang
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 B conf
Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain.
GLOBECOM
Ye Yuan, Haolun Wu, Hao Zhou, Xue Liu, Hao Chen, Yan Xin, Jianzhong Charlie Zhang
2025 J jnl
Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain.
CoRR
Ye Yuan, Haolun Wu, Hao Zhou, Xue Liu, Hao Chen, Yan Xin, Jianzhong Zhang
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
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning.
CoRR
Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Charlie Zhang
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
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control.
CoRR
Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Jianzhong Zhang
2024 J jnl
Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective.
CoRR
Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xi Chen, Hina Tabassum, Xue Liu
2024 A* conf
Learning to Extract Structured Entities Using Language Models.
EMNLP
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
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
Structured Entity Extraction Using Large Language Models.
CoRR
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra
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
2022 J jnl
Towards Auditing the Sensitive Information Leakage During Data Trading and Data Computing.
CoRR
Shuhao Zheng, Yanxi Lin, Yang Yu, Ye Yuan, Yongzheng Jia, Xue Liu