Towards Auditing the Sensitive Information Leakage During Data Trading and Data Computing. - Shuhao Zheng; Yanxi Lin; Yang Yu; Ye Yuan 017; Yongzheng Jia; Xue Liu 001 (CoRR, 2022)

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)

Learning to Extract Structured Entities Using Language Models. - Haolun Wu; Ye Yuan 017; Liana Mikaelyan; Alexander Meulemans; Xue Liu 004; James Hensman; Bhaskar Mitra 001 (EMNLP, 2024)

Structured Entity Extraction Using Large Language Models. - Haolun Wu; Ye Yuan 017; Liana Mikaelyan; Alexander Meulemans; Xue Liu 001; James Hensman; Bhaskar Mitra 001 (CoRR, 2024)

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)

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xue Liu 004; Charlie Jianzhong Zhang (CoRR, 2024)

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xue Liu 004; Zhu Han 001; Charlie Zhang 002 (CoRR, 2024)

Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xi Chen 009; Hina Tabassum; Xue Liu 001 (CoRR, 2024)

ParetoFlow: Guided Flows in Multi-Objective Optimization. - Ye Yuan 017; Can Chen 005; Christopher Pal; 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)

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-Context Learning. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xue Liu 001; Zhu Han 001; Jianzhong Zhang 002 (IEEE Wirel. Commun. Lett., 2025)

Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain. - Ye Yuan 017; Haolun Wu; Hao Zhou 013; Xue Liu 001; Hao Chen 010; Yan Xin; Jianzhong Zhang 002 (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)