RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. - Jiarui Qin; Jiachen Zhu 001; Bo Chen 023; Zhirong Liu; Weiwen Liu; Ruiming Tang; Rui Zhang 003; Yong Yu 001; Weinan Zhang 001 (SIGIR, 2022)

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. - Jiarui Qin; Jiachen Zhu 001; Yankai Liu; Junchao Gao; Jianjie Ying; Chaoxiong Liu; Ding Wang; Junlan Feng; Chao Deng; Xiaozheng Wang; Jian Jiang; Cong Liu; et al. (WSDM, 2023)

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)

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation. - Jiachen Zhu 001; Jianghao Lin; Xinyi Dai; Bo Chen 023; Rong Shan; Jieming Zhu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

A Survey on Diffusion Models for Recommender Systems. - Jianghao Lin; Jiaqi Liu; Jiachen Zhu 001; Yunjia Xi; Chengkai Liu; Yangtian Zhang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models. - Jun Wang 012; Meng Fang; Ziyu Wan; Muning Wen; Jiachen Zhu 001; Anjie Liu; Ziqin Gong; Yan Song 003; Lei Chen 002; Lionel M. Ni; Linyi Yang; Ying Wen 001; et al. (CoRR, 2024)

Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. - Jiachen Zhu 001; Congmin Zheng; Jianghao Lin; Kounianhua Du; Ying Wen 001; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (ACL (Findings), 2025)

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. - Rong Shan; Jiachen Zhu 001; Jianghao Lin; Chenxu Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

Superplatforms Have to Attack AI Agents. - Jianghao Lin; Jiachen Zhu 001; Zheli Zhou; Yunjia Xi; Weiwen Liu; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey. - Jiachen Zhu 001; Menghui Zhu; Renting Rui; Rong Shan; Congmin Zheng; Bo Chen 023; Yunjia Xi; Jianghao Lin; Weiwen Liu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models. - Congmin Zheng; Jiachen Zhu 001; Jianghao Lin; Xinyi Dai; Yong Yu 001; Weinan Zhang 001; Mengyue Yang (CoRR, 2025)

A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges. - Yunjia Xi; Jianghao Lin; Yongzhao Xiao; Zheli Zhou; Rong Shan; Te Gao; Jiachen Zhu 001; Weiwen Liu; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)