Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. - Defu Lian; Yuyang Ye 002; Wenya Zhu; Qi Liu 003; Xing Xie 001; Hui Xiong 001 (ICDM, 2016)

Multiple Pairwise Ranking with Implicit Feedback. - Runlong Yu; Yunzhou Zhang; Yuyang Ye 002; Le Wu; Chao Wang 086; Qi Liu 003; Enhong Chen (CIKM, 2018)

Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. - Qi Liu 003; Han Wu 002; Yuyang Ye 002; Hongke Zhao; Chuanren Liu; Dongfang Du (IJCAI, 2018)

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. - Yuyang Ye 002; Hengshu Zhu; Tong Xu 001; Fuzhen Zhuang; Runlong Yu; Hui Xiong 001 (ICDM, 2019)

Long-term Joint Scheduling for Urban Traffic. - Xianfeng Liang; Likang Wu; Joya Chen; Yang Liu 278; Runlong Yu; Min Hou; Han Wu 002; Yuyang Ye 002; Qi Liu 003; Enhong Chen (CoRR, 2019)

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. - Runlong Yu; Yuyang Ye 002; Qi Liu 003; Zihan Wang; Chunfeng Yang; Yucheng Hu; Enhong Chen (PAKDD (2), 2021)

Collaborative List-and-Pairwise Filtering From Implicit Feedback. - Runlong Yu; Qi Liu 003; Yuyang Ye 002; Mingyue Cheng; Enhong Chen; Jianhui Ma (IEEE Trans. Knowl. Data Eng., 2022)

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. - Runlong Yu; Qi Liu 003; Yuyang Ye 002; Mingyue Cheng; Enhong Chen; Jianhui Ma (ICDE, 2023)

Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. - Runlong Yu; Xiang Xu; Yuyang Ye 002; Qi Liu 003; Enhong Chen (KDD, 2023)

MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks. - Yuyang Ye 002; Zheng Dong; Hengshu Zhu; Tong Xu 001; Xin Song; Runlong Yu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li 004; Wanyu Wang; Yuyang Ye 002; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CIKM, 2024)

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. - Derong Xu; Ziheng Zhang; Zhihong Zhu; Zhenxi Lin; Qidong Liu 002; Xian Wu 001; Tong Xu 001; Wanyu Wang; Yuyang Ye 002; Xiangyu Zhao 001; Enhong Chen; Yefeng Zheng 001 (CIKM, 2024)

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. - Yuyang Ye 002; Lu-An Tang; Haoyu Wang 003; Runlong Yu; Wenchao Yu; Erhu He; Haifeng Chen; Hui Xiong 001 (KDD, 2024)

Tackling Uncertain Correspondences for Multi-Modal Entity Alignment. - Liyi Chen 001; Ying Sun 006; Shengzhe Zhang; Yuyang Ye 002; Wei Wu 045; Hui Xiong 001 (NeurIPS, 2024)

LLM-enhanced Reranking in Recommender Systems. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li 004; Yichao Wang 002; Zijian Zhang 009; Wanyu Wang; Yuyang Ye 002; Shanru Lin; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Scaling New Frontiers: Insights into Large Recommendation Models. - Wei Guo 006; Hao Wang 076; Luankang Zhang; Jin Yao Chin; Zhongzhou Liu; Kai Cheng; Qiushi Pan; Yi Quan Lee; Wanqi Xue; Tingjia Shen; Kenan Song; Kefan Wang; et al. (CoRR, 2024)

University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach. - Yuyang Ye 002; Hengshu Zhu; Tianyi Cui; Runlong Yu; Le Zhang 010; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2024)

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation. - Yuyang Ye 002; Zhi Zheng 008; Yishan Shen; Tianshu Wang 004; Hengruo Zhang; Peijun Zhu; Runlong Yu; Kai Zhang 001; Hui Xiong 001 (AAAI, 2025)

Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness. - Mingzheng Yang; Kai Zhang 001; Yuyang Ye 002; Yanghai Zhang; Runlong Yu; Min Hou (IJCAI, 2025)

FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. - Yufei Ye; Wei Guo 006; Jin Yao Chin; Hao Wang 076; Hong Zhu 003; Xi Lin; Yuyang Ye 002; Yong Liu 020; Ruiming Tang; Defu Lian; Enhong Chen (WWW (Companion Volume), 2025)

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation. - Jiaqing Zhang; Mingjia Yin; Hao Wang 076; Yawen Li 001; Yuyang Ye 002; Xingyu Lou; Junping Du 001; Enhong Chen (WWW, 2025)

How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control. - Hao Yu; Chu Xin Cheng; Runlong Yu; Yuyang Ye 002; Shiwei Tong; Zhaofeng Liu; Defu Lian (CoRR, 2025)

SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes. - Yishan Shen; Yuyang Ye 002; Hui Xiong 001; Yong Chen (CoRR, 2025)

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent. - Haocheng Yu; Yaxiong Wu 005; Hao Wang 076; Wei Guo 006; Yong Liu 020; Yawen Li 001; Yuyang Ye 002; Junping Du 001; Enhong Chen (CoRR, 2025)

FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model. - Yufei Ye; Wei Guo 006; Hao Wang 076; Hong Zhu 003; Yuyang Ye 002; Yong Liu 020; Huifeng Guo; Ruiming Tang; Defu Lian; Enhong Chen (CoRR, 2025)

Preference Trajectory Modeling via Flow Matching for Sequential Recommendation. - Li Li; Mingyue Cheng; Yuyang Ye 002; Zhiding Liu; Enhong Chen (CoRR, 2025)