A Spatio-temporal Recommender System for On-demand Cinemas. - Taofeng Xue; Beihong Jin; Beibei Li 001; Weiqing Wang 001; Qi Zhang; Sihua Tian (CIKM, 2019)

Spatial-Temporal Recommendation for On-demand Cinemas. - Taofeng Xue; Beihong Jin; Beibei Li 001; Kunchi Liu; Qi Zhang; Sihua Tian (DASFAA (3), 2019)

Cold-Start Recommendation for On-Demand Cinemas. - Beibei Li 001; Beihong Jin; Taofeng Xue; Kunchi Liu; Qi Zhang; Sihua Tian (ECML/PKDD (3), 2019)

Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation. - Taofeng Xue; Xinzhou Dong; Wei Zhuo 002; Beihong Jin; He Chen; Wenhai Pan; Beibei Li 001; Xuejian Zhang (ECML/PKDD (4), 2020)

A Behavior-Aware Graph Convolution Network Model for Video Recommendation. - Wei Zhuo 002; Kunchi Liu; Taofeng Xue; Beihong Jin; Beibei Li 001; Xinzhou Dong; He Chen; Wenhai Pan; Xuejian Zhang; Shuo Zhou (APWeb/WAIM (2), 2021)

Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks. - Xinzhou Dong; Beihong Jin; Wei Zhuo 002; Beibei Li 001; Taofeng Xue (DASFAA (3), 2021)

List Recommendation via Co-attentive User Preference Fine-Tuning. - Beibei Li 001; Beihong Jin; Xinzhou Dong; Wei Zhuo 002 (ICONIP (6), 2021)

Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks. - Xinzhou Dong; Beihong Jin; Wei Zhuo 002; Beibei Li 001; Taofeng Xue (PAKDD (2), 2021)

MULTIPLE: Multi-level User Preference Learning for List Recommendation. - Beibei Li 001; Beihong Jin; Xinzhou Dong; Wei Zhuo 002 (WISE (2), 2021)

MARS: A Multi-task Ranking Model for Recommending Micro-videos. - Jiageng Song; Beihong Jin; Yisong Yu; Beibei Li 001; Xinzhou Dong; Wei Zhuo 002; Shuo Zhou (APWeb/WAIM (3), 2022)

Improving Micro-video Recommendation by Controlling Position Bias. - Yisong Yu; Beihong Jin; Jiageng Song; Beibei Li 001; Yiyuan Zheng; Wei Zhuo 002 (ECML/PKDD (1), 2022)

Improving Micro-video Recommendation via Contrastive Multiple Interests. - Beibei Li 001; Beihong Jin; Jiageng Song; Yisong Yu; Yiyuan Zheng; Wei Zhou (SIGIR, 2022)

Denoising Sequence Embeddings via Contrastive Learning for Micro-video Recommendation. - Rui Zhao; Beihong Jin; Yisong Yu; Beibei Li 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Modeling user interactions by feature-augmented graph neural networks for recommendation. - Xinzhou Dong; Beihong Jin; Wei Zhuo 002; Beibei Li 001; Taofeng Xue; Jiageng Song (CCF Trans. Pervasive Comput. Interact., 2022)

Improving Micro-video Recommendation via Contrastive Multiple Interests. - Beibei Li 001; Beihong Jin; Jiageng Song; Yisong Yu; Yiyuan Zheng; Wei Zhuo 002 (CoRR, 2022)

Gemini: A Dual-Task Co-training Model for Partial Label Learning. - Beibei Li 001; Senlin Shu; Beihong Jin; Tao Xiang 001; Yiyuan Zheng (AI (1), 2023)

A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation. - Weijiang Lai; Beihong Jin; Beibei Li 001; Yiyuan Zheng; Rui Zhao (ECML/PKDD (6), 2023)

Reducing Interaction Noise for Sequential Recommendation via Robust Interests. - Yiyuan Zheng; Beihong Jin; Beibei Li 001; Weijiang Lai; Tao Xiang 001 (DASFAA (3), 2024)

Enhancing Sequential Recommendation via Aligning Interest Distributions. - Yiyuan Zheng; Beibei Li 001; Beihong Jin; Rui Zhao (ICANN (9), 2024)

Orthogonal Hyper-category Guided Multi-interest Elicitation for Micro-video Matching. - Beibei Li 001; Beihong Jin; Yisong Yu; Yiyuan Zheng; Jiageng Song; Wei Zhuo 002; Tao Xiang 001 (ICME, 2024)

Multi-intent Driven Contrastive Sequential Recommendation. - Yiyuan Zheng; Beibei Li 001; Beihong Jin; Rui Zhao; Weijiang Lai; Tao Xiang 001 (ECML/PKDD (9), 2024)

Denoising Long- and Short-term Interests for Sequential Recommendation. - Xinyu Zhang; Beibei Li 001; Beihong Jin (SDM, 2024)

An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes. - Jiayu Hu; Senlin Shu; Beibei Li 001; Tao Xiang 001; Zhongshi He (ACM Trans. Intell. Syst. Technol., 2024)

Multiple-Instance Learning from Pairwise Comparison Bags. - Shengjie Zhou; Senlin Shu; Haobo Wang 001; Hongxin Wei; Tao Xiang 001; Beibei Li 001 (ACM Trans. Intell. Syst. Technol., 2024)

AsyCo: an asymmetric dual-task co-training model for partial-label learning. - Beibei Li 001; Yiyuan Zheng; Beihong Jin; Tao Xiang 001; Haobo Wang 001; Lei Feng 006 (Sci. China Inf. Sci., 2025)

Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation. - Beibei Li 001; Tao Xiang 001; Beihong Jin; Yiyuan Zheng; Rui Zhao (CoRR, 2025)

Collaborative Interest-aware Graph Learning for Group Identification. - Rui Zhao; Beihong Jin; Beibei Li 001; Yiyuan Zheng (CoRR, 2025)