Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. - Sichun Luo; Yuanzhang Xiao; Linqi Song (CIKM, 2022)

HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations. - Sichun Luo; Xinyi Zhang; Yuanzhang Xiao; Linqi Song (CIKM, 2022)

Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation. - Sichun Luo; Yuanzhang Xiao; Yang Liu 165; Congduan Li; Linqi Song (CoRR, 2022)

Improving Long-Tail Item Recommendation with Graph Augmentation. - Sichun Luo; Chen Ma 001; Yuanzhang Xiao; Linqi Song (CIKM, 2023)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation. - Sichun Luo; Bowei He; Haohan Zhao; Yinya Huang; Aojun Zhou; Zongpeng Li; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (CoRR, 2023)

Large Language Models Augmented Rating Prediction in Recommender System. - Sichun Luo; Jiansheng Wang; Aojun Zhou; Li Ma; Linqi Song (ICASSP, 2024)

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning. - Ke Wang 036; Houxing Ren; Aojun Zhou; Zimu Lu; Sichun Luo; Weikang Shi; Renrui Zhang; Linqi Song; Mingjie Zhan; Hongsheng Li 001 (ICLR, 2024)

Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification. - Aojun Zhou; Ke Wang 036; Zimu Lu; Weikang Shi; Sichun Luo; Zipeng Qin; Shaoqing Lu; Anya Jia; Linqi Song; Mingjie Zhan; Hongsheng Li 001 (ICLR, 2024)

Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery. - Yuxuan Yao; Sichun Luo; Haohan Zhao; Guanzhi Deng; Linqi Song (WWW (Companion Volume), 2024)

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation. - Sichun Luo; Yuxuan Yao; Bowei He; Yinya Huang; Aojun Zhou; Xinyi Zhang; Yuanzhang Xiao; Mingjie Zhan; Linqi Song (CoRR, 2024)

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner. - Yuxuan Yao; Han Wu 004; Zhijiang Guo; Biyan Zhou; Jiahui Gao; Sichun Luo; Hanxu Hou; Xiaojin Fu; Linqi Song (CoRR, 2024)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions. - Sichun Luo; Wei Shao 009; Yuxuan Yao; Jian Xu; Mingyang Liu; Qintong Li; Bowei He; Maolin Wang 001; Guanzhi Deng; Hanxu Hou; Xinyi Zhang; Linqi Song (CoRR, 2024)

A Language Model-Based Fine-Grained Address Resolution Framework in UAV Delivery System. - Sichun Luo; Yuxuan Yao; Haohan Zhao; Linqi Song (IEEE J. Sel. Top. Signal Process., 2024)

PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training. - Sichun Luo; Yuanzhang Xiao; Xinyi Zhang; Yang Liu 165; Wenbo Ding 001; Linqi Song (ACM Trans. Intell. Syst. Technol., 2024)

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling. - Yuxuan Yao; Han Wu 004; Mingyang Liu; Sichun Luo; Xiongwei Han; Jie Liu; Zhijiang Guo; Linqi Song (ICLR, 2025)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. - Jian Xu 016; Sichun Luo; Xiangyu Chen; Haoming Huang; Hanxu Hou; Linqi Song (WWW (Companion Volume), 2025)

Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. - Jian Xu 016; Shuo Wan; Yinchuan Li; Sichun Luo; Zhilin Chen; Yunfeng Shao 001; Zhitang Chen; Shao-Lun Huang; Linqi Song (IEEE J. Sel. Top. Signal Process., 2025)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. - Jian Xu; Sichun Luo; Xiangyu Chen; Haoming Huang; Hanxu Hou; Linqi Song (CoRR, 2025)

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning. - Sichun Luo; Jian Xu 016; Xiaojie Zhang; Linrong Wang; Sicong Liu; Hanxu Hou; Linqi Song (CoRR, 2025)

Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation. - Sichun Luo; Guanzhi Deng; Jian Xu 016; Xiaojie Zhang; Hanxu Hou; Linqi Song (CoRR, 2025)