Amortized Variational Deep Q Network. - Haotian Zhang; Yuhao Wang 006; Jianyong Sun; Zongben Xu (CoRR, 2020)

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. - Xin Gan; Yuhao Wang 006; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Zitao Liu 001 (SIGIR, 2023)

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. - Yuhao Wang 006; Xiangyu Zhao 001; Bo Chen 023; Qidong Liu 002; Huifeng Guo; Huanshuo Liu; Yichao Wang 002; Rui Zhang 003; Ruiming Tang (SIGIR, 2023)

Exploration and Regularization of the Latent Action Space in Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Bowen Sun; Yuhao Wang 006; Ji Jiang; Dong Zheng; Peng Jiang 002; Kun Gai; Xiangyu Zhao 001; Yongfeng Zhang (WWW, 2023)

Multi-Task Deep Recommender Systems: A Survey. - Yuhao Wang 006; Ha Tsz Lam; Yi Wong; Ziru Liu; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CoRR, 2023)

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

Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm. - Haotian Zhang; Jianyong Sun; Yuhao Wang 006; Jialong Shi; Zongben Xu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li; Wanyu Wang; Yuyang Ye 002; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CIKM, 2024)

Multi-Granularity Modeling in Recommendation: from the Multi-Scenario Perspective. - Yuhao Wang 006 (CIKM, 2024)

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

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

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. - Yuhao Wang 006; Ziru Liu; Yichao Wang 002; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang (WSDM, 2024)

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. - Yuhao Wang 006; Junwei Pan; Xiangyu Zhao 001; Pengyue Jia; Wanyu Wang; Yuan Wang; Yue Liu 008; Dapeng Liu; Jie Jiang 015 (CoRR, 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; 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; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Yichao Wang 002; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future. - Qidong Liu 002; Xiangyu Zhao 001; Yuhao Wang 006; Yejing Wang; Zijian Zhang 009; Yuqi Sun; Xiang Li 113; Maolin Wang 001; Pengyue Jia; Chong Chen 001; Wei Huang; Feng Tian 002 (CoRR, 2024)

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

Multi-Level Graph Knowledge Contrastive Learning. - Haoran Yang; Yuhao Wang 006; Xiangyu Zhao 001; Hongxu Chen 002; Hongzhi Yin; Qing Li 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

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

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (COLING, 2025)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. - Yuhao Wang 006; Junwei Pan; Pengyue Jia; Wanyu Wang; Maolin Wang 001; Zhixiang Feng; Xiaotian Li; Jie Jiang 015; Xiangyu Zhao 001 (SIGIR, 2025)

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

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

Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries. - Yuhao Wang 006; Wenjie Qu 001; Yanze Jiang; Zichen Liu; Yue Liu 008; Shengfang Zhai; Yinpeng Dong; Jiaheng Zhang (CoRR, 2025)