Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. - Binbin Jin; Hongke Zhao; Enhong Chen; Qi Liu 003; Yong Ge (AAAI, 2019)

A Radical-Aware Attention-Based Model for Chinese Text Classification. - Hanqing Tao; Shiwei Tong; Hongke Zhao; Tong Xu 001; Binbin Jin; Qi Liu 003 (AAAI, 2019)

Sampling-Decomposable Generative Adversarial Recommender. - Binbin Jin; Defu Lian; Zheng Liu 011; Qi Liu 003; Jianhui Ma; Xing Xie 001; Enhong Chen (NeurIPS, 2020)

Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. - Hongke Zhao; Binbin Jin; Qi Liu 003; Yong Ge; Enhong Chen; Xi Zhang 009; Tong Xu 001 (IEEE Trans. Knowl. Data Eng., 2020)

Preference-Adaptive Meta-Learning for Cold-Start Recommendation. - Li Wang 014; Binbin Jin; Zhenya Huang; Hongke Zhao; Defu Lian; Qi Liu 003; Enhong Chen (IJCAI, 2021)

NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction. - Linan Yue; Qi Liu 003; Binbin Jin; Han Wu 002; Kai Zhang 038; Yanqing An; Mingyue Cheng; Biao Yin; Dayong Wu (SIGIR, 2021)

Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems. - Binbin Jin; Enhong Chen; Hongke Zhao; Zhenya Huang; Qi Liu 003; Hengshu Zhu; Shui Yu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. - Yuren Zhang; Enhong Chen; Binbin Jin; Hao Wang 076; Min Hou; Wei Huang 002; Runlong Yu (SIGIR, 2022)

A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. - Yan Zhuang; Qi Liu 003; Zhenya Huang; Zhi Li 057; Binbin Jin; Haoyang Bi; Enhong Chen; Shijin Wang 001 (SIGIR, 2022)

Learning Recommenders for Implicit Feedback with Importance Resampling. - Jin Chen 008; Defu Lian; Binbin Jin; Kai Zheng 001; Enhong Chen (WWW, 2022)

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. - Jin Chen 008; Defu Lian; Binbin Jin; Xu Huang 008; Kai Zheng 001; Enhong Chen (WWW, 2022)

A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. - Longhu Qin; Jiayu Liu 001; Zhenya Huang; Kai Zhang 038; Qi Liu 003; Binbin Jin; Enhong Chen (SIGIR, 2023)

Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. - Zhenya Huang; Binbin Jin; Hongke Zhao; Qi Liu 003; Defu Lian; Tengfei Bao; Enhong Chen (ACM Trans. Inf. Syst., 2023)

Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle. - Shangzi Xue; Zhenya Huang; Jiayu Liu 001; Xin Lin 005; Yuting Ning; Binbin Jin; Xin Li 064; Qi Liu 003 (NeurIPS, 2024)

Effective Graph Modeling and Contrastive Learning for Time-Aware QoS Prediction. - Hao Wu 010; Shuting Tian; Binbin Jin; Yiji Zhao; Lei Zhang 130 (IEEE Trans. Serv. Comput., 2024)

A Circumstance-Aware Neural Framework for Explainable Legal Judgment Prediction. - Linan Yue; Qi Liu 003; Binbin Jin; Han Wu 002; Yanqing An (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing Code Search Intent with Programming Context Exploration. - Yanmin Dong; Zhenya Huang; Zheng Zhang 048; Guanhao Zhao; Likang Wu; Hongke Zhao; Binbin Jin; Qi Liu 003 (WSDM, 2025)