AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. - Bin Liu 072; Chenxu Zhu; Guilin Li 001; Weinan Zhang 001; Jincai Lai; Ruiming Tang; Xiuqiang He 001; Zhenguo Li; Yong Yu 001 (KDD, 2020)

QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback. - Handong Ma; Jiawei Hou; Chenxu Zhu; Weinan Zhang 001; Ruiming Tang; Jincai Lai; Jieming Zhu; Xiuqiang He 001; Yong Yu 001 (IEEE Access, 2021)

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)

Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History. - Chenxu Zhu; Peng Du; Weinan Zhang 001; Yong Yu 001; Yang Cao (KDD, 2022)

User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking. - Chenxu Zhu; Peng Du; Xianghui Zhu; Weinan Zhang 001; Yong Yu 001; Yang Cao (KDD, 2022)

DFFM: Domain Facilitated Feature Modeling for CTR Prediction. - Wei Guo 006; Chenxu Zhu; Fan Yan; Bo Chen 023; Weiwen Liu; Huifeng Guo; Hongkun Zheng; Yong Liu 020; Ruiming Tang (CIKM, 2023)

A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling. - Xianghui Zhu; Peng Du; Shuo Shao 001; Chenxu Zhu; Weinan Zhang 001; Yang Wang 019; Yang Cao (KDD, 2023)

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. - Chenxu Zhu; Bo Chen 023; Huifeng Guo; Hang Xu 004; Xiangyang Li; Xiangyu Zhao 001; Weinan Zhang 001; Yong Yu 001; Ruiming Tang (WSDM, 2023)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; Ruiming Tang; Weinan Zhang 001 (CoRR, 2023)

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2023)

Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. - Haokun Chen; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Xiuqiang He 001; Yong Yu 001 (IEEE Trans. Knowl. Data Eng., 2023)

AIM: Automatic Interaction Machine for Click-Through Rate Prediction. - Chenxu Zhu; Bo Chen 023; Weinan Zhang 001; Jincai Lai; Ruiming Tang; Xiuqiang He 001; Zhenguo Li; Yong Yu 001 (IEEE Trans. Knowl. Data Eng., 2023)

SnapHiC-D: a computational pipeline to identify differential chromatin contacts from single-cell Hi-C data. - Lindsay Lee; Miao Yu; Xiaoqi Li 018; Chenxu Zhu; Yanxiao Zhang; Hongyu Yu; Ziyin Chen; Shreya Mishra; Bing Ren; Yun Li; Ming Hu 001 (Briefings Bioinform., 2023)

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (RecSys, 2024)

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. - Yang Yang 001; Bo Chen 023; Chenxu Zhu; Menghui Zhu; Xinyi Dai; Huifeng Guo; Muyu Zhang; Zhenhua Dong; Ruiming Tang (RecSys, 2024)

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. - Jianghao Lin; Rong Shan; Chenxu Zhu; Kounianhua Du; Bo Chen 023; Shigang Quan; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (WWW, 2024)

Vector Quantization for Recommender Systems: A Review and Outlook. - Qijiong Liu; Xiaoyu Dong; Jiaren Xiao; Nuo Chen 004; Hengchang Hu; Jieming Zhu; Chenxu Zhu; Tetsuya Sakai; Xiao-Ming Wu 003 (CoRR, 2024)

LIBER: Lifelong User Behavior Modeling Based on Large Language Models. - Chenxu Zhu; Shigang Quan; Bo Chen 023; Jianghao Lin; Xiaoling Cai; Hong Zhu 003; Xiangyang Li; Yunjia Xi; Weinan Zhang 001; Ruiming Tang (CoRR, 2024)

An Automatic Graph Construction Framework based on Large Language Models for Recommendation. - Rong Shan; Jianghao Lin; Chenxu Zhu; Bo Chen 023; Menghui Zhu; Kangning Zhang; Jieming Zhu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

A novel approach of generating pseudo revisited soil sample data based on environmental similarity for space-time soil organic carbon modelling. - Wenkai Cui; Lin Yang 018; Lei Zhang 151; Chenconghai Yang; Chenxu Zhu; Chenghu Zhou (Int. J. Appl. Earth Obs. Geoinformation, 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)

LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. - Ruiming Tang; Chenxu Zhu; Bo Chen 023; Weipeng Zhang; Menghui Zhu; Xinyi Dai; Huifeng Guo (CoRR, 2025)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Hao Zhang 048; Yong Liu 020; Chuhan Wu; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; et al. (ACM Trans. Inf. Syst., 2025)

Generative Representational Learning of Foundation Models for Recommendation. - Zheli Zhou; Chenxu Zhu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2025)