UBER: An Unreal Engine Based Simulation Platform with Extensibility and Real-time Capability*. - Jizheng Chen; Zhan Shi; Xuyu Wang; Jing Wu (RCAR, 2023)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. - Jizheng Chen; Kounianhua Du; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CIKM, 2024)

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. - Kounianhua Du; Jizheng Chen; Jianghao Lin; Yunjia Xi; Hangyu Wang; Xinyi Dai; Bo Chen 023; Ruiming Tang; Weinan Zhang 001 (KDD, 2024)

Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. - Kounianhua Du; Jizheng Chen; Jianghao Lin; Menghui Zhu; Bo Chen 023; Shuai Li 010; Ruiming Tang (CoRR, 2024)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. - Jizheng Chen; Kounianhua Du; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001 (CoRR, 2024)

A Comprehensive Survey on Retrieval Methods in Recommender Systems. - Junjie Huang; Jizheng Chen; Jianghao Lin; Jiarui Qin; Ziming Feng; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation. - Jizheng Chen; Kounianhua Du; Xinyi Dai; Weiming Zhang; Xihuai Wang; Yasheng Wang; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (ACL (1), 2025)

Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. - Kounianhua Du; Hanjing Wang; Jianxing Liu; Jizheng Chen; Xinyi Dai; Yasheng Wang; Ruiming Tang; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (ACL (Findings), 2025)

NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging. - Weiming Zhang; Qingyao Li; Xinyi Dai; Jizheng Chen; Kounianhua Du; Weinan Zhang 001; Weiwen Liu; Yasheng Wang; Ruiming Tang; Yong Yu 001 (CoRR, 2025)