Beibei Li

According to our database, Beibei Li authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multiple-Instance Learning from Pairwise Comparison Bags.

Shengjie Zhou, Senlin Shu, Haobo Wang, Hongxin Wei, Tao Xiang, Beibei Li

ACM Trans. Intell. Syst. Technol., December, 2024

An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.

Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He

ACM Trans. Intell. Syst. Technol., December, 2024

AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning.

Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng

CoRR, 2024

Denoising Long- and Short-term Interests for Sequential Recommendation.

Xinyu Zhang, Beibei Li, Beihong Jin

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Multi-intent Driven Contrastive Sequential Recommendation.

Yiyuan Zheng, Beibei Li, Beihong Jin, Rui Zhao, Weijiang Lai, Tao Xiang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Orthogonal Hyper-category Guided Multi-interest Elicitation for Micro-video Matching.

Beibei Li, Beihong Jin, Yisong Yu, Yiyuan Zheng, Jiageng Song, Wei Zhuo, Tao Xiang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Enhancing Sequential Recommendation via Aligning Interest Distributions.

Yiyuan Zheng, Beibei Li, Beihong Jin, Rui Zhao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Reducing Interaction Noise for Sequential Recommendation via Robust Interests.

Yiyuan Zheng, Beihong Jin, Beibei Li, Weijiang Lai, Tao Xiang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation.

Weijiang Lai, Beihong Jin, Beibei Li, Yiyuan Zheng, Rui Zhao

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Gemini: A Dual-Task Co-training Model for Partial Label Learning.

Beibei Li, Senlin Shu, Beihong Jin, Tao Xiang, Yiyuan Zheng

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Improving Micro-video Recommendation via Contrastive Multiple Interests.

Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhuo

CoRR, 2022

Modeling user interactions by feature-augmented graph neural networks for recommendation.

Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue, Jiageng Song

CCF Trans. Pervasive Comput. Interact., 2022

Denoising Sequence Embeddings via Contrastive Learning for Micro-video Recommendation.

Rui Zhao, Beihong Jin, Yisong Yu, Beibei Li

Proceedings of the IEEE Smartworld, 2022

Improving Micro-video Recommendation via Contrastive Multiple Interests.

Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhou

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Improving Micro-video Recommendation by Controlling Position Bias.

Yisong Yu, Beihong Jin, Jiageng Song, Beibei Li, Yiyuan Zheng, Wei Zhuo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MARS: A Multi-task Ranking Model for Recommending Micro-videos.

Jiageng Song, Beihong Jin, Yisong Yu, Beibei Li, Xinzhou Dong, Wei Zhuo, Shuo Zhou

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

MULTIPLE: Multi-level User Preference Learning for List Recommendation.

Beibei Li, Beihong Jin, Xinzhou Dong, Wei Zhuo

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks.

Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

List Recommendation via Co-attentive User Preference Fine-Tuning.

Beibei Li, Beihong Jin, Xinzhou Dong, Wei Zhuo

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks.

Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue

Proceedings of the Database Systems for Advanced Applications, 2021

A Behavior-Aware Graph Convolution Network Model for Video Recommendation.

Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020

Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation.

Taofeng Xue, Xinzhou Dong, Wei Zhuo, Beihong Jin, He Chen, Wenhai Pan, Beibei Li, Xuejian Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

2019

Cold-Start Recommendation for On-Demand Cinemas.

Beibei Li, Beihong Jin, Taofeng Xue, Kunchi Liu, Qi Zhang, Sihua Tian

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Spatial-Temporal Recommendation for On-demand Cinemas.

Taofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, Sihua Tian

Proceedings of the Database Systems for Advanced Applications, 2019

A Spatio-temporal Recommender System for On-demand Cinemas.

Taofeng Xue, Beihong Jin, Beibei Li, Weiqing Wang, Qi Zhang, Sihua Tian

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019