Personalized Re-ranking for Improving Diversity in Live Recommender Systems. - Yichao Wang 002; Xiangyu Zhang; Zhirong Liu; Zhenhua Dong; Xinhua Feng; Ruiming Tang; Xiuqiang He 001 (CoRR, 2020)

A Practical Incremental Method to Train Deep CTR Models. - Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhirong Liu; Xiuqiang He 001 (CoRR, 2020)

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. - Bo Chen 023; Yichao Wang 002; Zhirong Liu; Ruiming Tang; Wei Guo 006; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Xiuqiang He 001 (CIKM, 2021)

Numerical Feature Representation with Hybrid N-ary Encoding. - Bo Chen 023; Huifeng Guo; Weiwen Liu; Yue Ding 001; Yunzhe Li 001; Wei Guo 006; Yichao Wang 002; Zhicheng He 001; Ruiming Tang; Rui Zhang 003 (CIKM, 2022)

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. - Xiangyang Li; Bo Chen 023; Huifeng Guo; Jingjie Li; Chenxu Zhu; Xiang Long; Sujian Li; Yichao Wang 002; Wei Guo 006; Longxia Mao; Jinxing Liu; Zhenhua Dong; et al. (CIKM, 2022)

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. - Yichao Wang 002; Huifeng Guo; Bo Chen 023; Weiwen Liu; Zhirong Liu; Qi Zhang 001; Zhicheng He 001; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Zhenhua Dong; Ruiming Tang (KDD, 2022)

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

Optimal Transport for Treatment Effect Estimation. - Hao Wang 049; Jiajun Fan; Zhichao Chen 001; Haoxuan Li 001; Weiming Liu 005; Tianqiao Liu; Quanyu Dai; Yichao Wang 002; Zhenhua Dong; Ruiming Tang (NeurIPS, 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)

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)

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

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)

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)

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)

IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation. - Kexin Zhang 007; Yichao Wang 002; Xiu Li 001; Ruiming Tang; Rui Zhang 003 (WSDM, 2024)

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. - Jiachen Zhu 001; Yichao Wang 002; Jianghao Lin; Jiarui Qin; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (WWW, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (CoRR, 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)

LLM-enhanced Reranking in Recommender Systems. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Zijian Zhang 009; Wanyu Wang; Yuyang Ye 002; Shanru Lin; 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)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. - Bo Chen 023; Xinyi Dai; Huifeng Guo; Wei Guo 006; Weiwen Liu; Yong Liu 020; Jiarui Qin; Ruiming Tang; Yichao Wang 002; Chuhan Wu; Yaxiong Wu 005; Hao Zhang 048 (CoRR, 2024)

Prompt Tuning as User Inherent Profile Inference Machine. - Yusheng Lu; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Weiwen Liu; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhenhua Dong; Yongrui Duan (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)

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)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Wanyu Wang; Huifeng Guo; Ruiming Tang (WWW, 2025)

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

HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation. - Xu Huang 008; Xiaolong Chen; Yichao Wang 002; Weiwen Liu; Yang Yang 001; Xingmei Wang 001; Defu Lian; Ruiming Tang (WWW (Companion Volume), 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)

Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions. - Leping Zhang; Xiao Zhang 034; Yichao Wang 002; Xuan Li; Zhenhua Dong; Jun Xu 001 (ACM Trans. Inf. Syst., 2025)

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

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs. - Yaxiong Wu 005; Sheng Liang; Chen Zhang 003; Yichao Wang 002; Yongyue Zhang; Huifeng Guo; Ruiming Tang; Yong Liu 020 (CoRR, 2025)

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. - Yingyi Zhang; Pengyue Jia; Xianneng Li; Derong Xu; Maolin Wang 001; Yichao Wang 002; Zhaocheng Du; Huifeng Guo; Yong Liu 020; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. - Wenlin Zhang; Xiangyang Li; Kuicai Dong; Yichao Wang 002; Pengyue Jia; Xiaopeng Li; 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; 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)

Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents. - Derong Xu; Yi Wen 001; Pengyue Jia; Yingyi Zhang; Wen-Lin Zhang; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001; Enhong Chen; Tong Xu 001 (CoRR, 2025)

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. - Zichuan Fu; Xiangyang Li; Chuhan Wu; Yichao Wang 002; Kuicai Dong; Xiangyu Zhao 001; Mengchen Zhao; Huifeng Guo; Ruiming Tang (ACM Trans. Inf. Syst., 2025)