Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio- Temporal Analysis. - Xiaopeng Li 014; Jiang Wu 008; Zhanbo Xu; Kun Liu 017; Jun Yu; Xiaohong Guan (CASE, 2021)

HAMUR: Hyper Adapter for Multi-Domain Recommendation. - Xiaopeng Li 014; Fan Yan; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CIKM, 2023)

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li 014; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CoRR, 2023)

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM. - Xiaopeng Li 014; Lixin Su; Pengyue Jia; Xiangyu Zhao 001; Suqi Cheng; Junfeng Wang 009; Dawei Yin (CoRR, 2023)

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. - Pengyue Jia; Yichao Wang 002; Shanru Lin; Xiaopeng Li 014; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (AAAI, 2024)

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li 014; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CIKM, 2024)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. - Pengyue Jia; Yiding Liu; Xiangyu Zhao 001; Xiaopeng Li 014; Changying Hao; Shuaiqiang Wang; Dawei Yin (NAACL-HLT, 2024)

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. - Pengyue Jia; Yiding Liu; Xiaopeng Li 014; Xiangyu Zhao 001; Yuhao Wang 006; Yantong Du; Xiao Han 004; Xuetao Wei; Shuaiqiang Wang; Dawei Yin (NeurIPS, 2024)

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. - Pengyue Jia; Zhaocheng Du; Yichao Wang 001; Xiangyu Zhao 001; Xiaopeng Li 014; Yuhao Wang 006; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li 014; Zhaocheng Du; Xiangyang Li 014; Xiangyu Zhao 001; Yichao Wang 002; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval. - Xiaopeng Li 014; Xiangyang Li 014; Hao Zhang 048; Zhaocheng Du; Pengyue Jia; Yichao Wang 001; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark. - Xiaopeng Li 014; Jingtong Gao; Pengyue Jia; Yichao Wang 001; Wanyu Wang; Yejing Wang; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li 014; Zhaocheng Du; Xiangyang Li 014; Yichao Wang 001; Yuhao Wang 006; Qidong Liu 002; Maolin Wang 001; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (ACL (Findings), 2025)

TAPO: Task-Referenced Adaptation for Prompt Optimization. - Wenxin Luo; Weirui Wang; Xiaopeng Li 014; Weibo Zhou; Pengyue Jia; Xiangyu Zhao 001 (ICASSP, 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li 014; Yichao Wang 002; Xiangyang Li 014; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (WWW (Companion Volume), 2025)

Joint Modeling in Deep Recommender Systems. - Pengyue Jia; Jingtong Gao; Yejing Wang; Yuhao Wang 006; Xiaopeng Li 014; Qidong Liu 002; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (WWW (Companion Volume), 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li 014; Yichao Wang 001; Xiangyang Li 014; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Joint Modeling in Recommendations: A Survey. - Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Jingtong Gao; Yuhao Wang 006; Xiaopeng Li 014; Pengyue Jia; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2025)

A Survey of Personalization: From RAG to Agent. - Xiaopeng Li 014; Pengyue Jia; Derong Xu; Yi Wen 001; Yingyi Zhang; Wenlin Zhang; Wanyu Wang; Yichao Wang 002; Zhaocheng Du; Xiangyang Li 014; Yong Liu 020; Huifeng Guo; et al. (CoRR, 2025)

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. - Wenlin Zhang; Xiangyang Li 014; Kuicai Dong; Yichao Wang 002; Pengyue Jia; Xiaopeng Li 014; Yingyi Zhang; Derong Xu; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation. - Derong Xu; Pengyue Jia; Xiaopeng Li 014; Yingyi Zhang; Maolin Wang 001; Qidong Liu 002; Xiangyu Zhao 001; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Enhong Chen; Tong Xu 001 (CoRR, 2025)

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition? - Xiangyang Li 014; Xiaopeng Li 014; Kuicai Dong; Quanhu Zhang; Rongju Ruan; Xinyi Dai; Xiaoshuang Liu; Shengchun Xu; Yasheng Wang; Ruiming Tang (CoRR, 2025)

Deep Research: A Survey of Autonomous Research Agents. - Wenlin Zhang; Xiaopeng Li 014; Yingyi Zhang; Pengyue Jia; Yichao Wang 002; Huifeng Guo; Yong Liu 020; Xiangyu Zhao 001 (CoRR, 2025)