👩‍💻 Appointments

• 2022.07 - Now, Research Assistant Professor, College of Computer Science, Chongqing University, China. Research Interests：trustworthy fundation models, recommender system, data mining, weakly supervised learning.

🎓 Education

• 2016.09 - 2022.07, Ph.D. in Computer Science, Institute of Software, University of Chinese Academy of Sciences, China. Supervised by Prof. Beihong Jin.
• 2012.09 - 2016.07, B.E. in Software Engineering, Chongqing University, China.

🔥 News

• 2024.09: 🎉 One paper is accepted by TIST (ACM Transactions on Intelligent Systems and Technology), corresponding author.
• 2024.08: 🎉 One paper is accepted by TIST (ACM Transactions on Intelligent Systems and Technology), corresponding author.
• 2024.07: 🎉 One paper is accepted by SCIS (Science China Information Sciences, CCF-A), first author.
• 2024.05: 🎉 One paper is accepted by ECML PKDD (Joint European Conference on Machine Learning and Knowledge Discovery in Databases, CCF-B) 2024.
• 2024.03: 🎉 One paper is accepted by DASFAA (International Conference on Database Systems for Advanced Applications, CCF-B) 2024.
• 2024.03: 🎉 One paper is accepted by ICME (IEEE International Conference on Multimedia and Expo, CCF-B) 2024, first author.

📝 Selected Publications

• Shengjie Zhou, Senlin Shu, Haobo Wang, Hongxin Wei, Tao Xiang, Beibei Li (Corresponding author) , Multiple-Instance Learning from Pairwise Comparison Bags, ACM Transactions on Intelligent Systems and Technology (TIST), in press.
• Jiayu Hu, Senlin Shu, Beibei Li (Corresponding author), Tao Xiang, Zhongshi He, An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes, ACM Transactions on Intelligent Systems and Technology (TIST), in press.
• Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng. AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning, Science China Information Sciences (SCIS, CCF-A), in press.
• Yiyuan Zheng, Beibei Li, Beihong Jin, Rui Zhao, Weijiang Lai, Tao Xiang. Multi-intent Driven Contrastive Sequential Recommendation , Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD, CCF-B), pp. 141-156.
• Yiyuan Zheng, Beihong Jin, Beibei Li, Weijiang Lai, Tao Xiang. Reducing Interaction Noise for Sequential Recommendation via Robust Interests, International Conference on Database Systems for Advanced Applications (DASFAA 2024, CCF-B), in press.
• Beibei Li, Beihong Jin, Yisong Yu, Yiyuan Zheng, Jiageng Song, Wei Zhuo, Tao Xiang. Orthogonal Hyper-category Guided Multi-interest Elicitation for Micro-video Matching, IEEE International Conference on Multimedia and Expo (ICME 2024, CCF-B), in press.
• Xinyu Zhang, Beibei Li (Co-first author)., Beihong Jin, Yiyuan Zheng, Rui Zhao. Denoising Long and Short-term Interests for Sequential Recommendation , SIAM International Conference on Data Mining (SDM 2024, CCF-B), pp. 544 - 552.
• Weijiang Lai, Beihong Jin, Beibei Li, Yiyuan Zheng, Rui Zhao. A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation , Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2023, CCF-B), pp. 684-699.
• Beibei Li, Senlin Shu, Beihong Jin, Tao Xiang, Yiyuan Zheng. Gemini: A Dual-task Co-training Model for Partial Label Learning , Australasian Joint Conference on Artificial Intelligence (AJCAI 2023), pp. 328-340.
• Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhuo. Improving Micro-video Recommendation via Contrastive Multiple Interests , International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022, CCF-A), pp. 2377-2381. code
• Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue, Jiageng Song. Modeling User Interactions by Feature-augmented Graph Neural Networks for Recommendation , CCF Transactions on Pervasive Computing and Interaction (CCF TPCI 2022), pp. 207-218.
• Yisong Yu, Beihong Jin, Jiageng Song, Beibei Li, Yiyuan Zheng, Wei Zhuo. Improving Micro-video Recommendation by Controlling Position Bias , Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2022, CCF-B), pp. 508-523.
• Beibei Li, Beihong Jin, Xinzhou Dong, Wei Zhuo. MULTIPLE: Multi-level User Preference Learning for List Recommendation , International Conference on Web Information Systems Engineering (WISE 2021, CCF-C), pp. 221-236.
• Beibei Li, Beihong Jin, Xinzhou Dong, Wei Zhuo. List Recommendation via Co-attentive User Preference Fine-Tuning , International Conference on Neural Information Processing (ICONIP 2021, CCF-C), pp. 554-562.
• Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue. Sirius: Sequential Recommendation with Feature Augmented Graph Neural Networks , International Conference on Database Systems for Advanced Applications(DASFAA 2021, CCF-B), pp. 315-320.
• Taofeng Xue, Xinzhou Dong, Wei Zhuo, Beihong Jin, He Chen, Wenhai Pan, Beibei Li, Xuejian Zhang. Feedback-guided attributed graph embedding for relevant video recommendation , Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020, CCF-B), pp. 19-35.
• Beibei Li, Beihong Jin, Taofeng Xue, Kunchi Liu, Qi Zhang, Sihua Tian. Cold-Start Recommendation for On-Demand Cinemas , Joint European Conference on Machine Learning and Knowledge Discovery in Databases(ECML PKDD 2019, CCF-B), pp. 499-515.
• Taofeng Xue, Beihong Jin, Beibei Li, Weiqing Wang, Qi Zhang, Sihua Tian. A Spatio-temporal Recommender System for On-demand Cinemas , ACM International Conference on Information and Knowledge Management(CIKM 2019, CCF-B), pp. 1553-1562.
• Taofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, Sihua Tian. Spatial-temporal Recommendation for On-demand Cinemas , International Conference on Database Systems for Advanced Applications (DASFAA 2019, CCF-B), pp. 373-377.

For the full publication list, please refer to my google scholar.

🛸 Research Grants

• 2023.01 - 2025.12, Principal Investigator, Chongqing Special Key Projects for Technological Innovation and Application Development, 200,000 CNY.
• 2021.01 - 2024.12, Member, General Program of National Natural Science Foundation of China (Grant No. 62072450), 540,000 CNY.
• 2019.01 - 2021.12, Member, the Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 61802373), 300,000 CNY.

🤓 Student Supervision

• Master Students

  • 2022.09 - Now, Jiayu Hu, Chongqing University (with Prof. Zhongshi He)
  • 2023.08 - 2023.12, Xinyu Zhang, University of Chinese Academy of Sciences (with Prof. Beihong Jin)
  • 2021.11 - 2022.09, Weijiang Lai, University of Chinese Academy of Sciences (with Prof. Beihong Jin)
  • 2021.11 - 2023.07, Yiyuan Zheng, University of Chinese Academy of Sciences (with Prof. Beihong Jin)

• Undergraduate Students

  • 2023.05 - Now, Zhiting Li, Chongqing University
  • 2023.09 - Now, Kuanyu Li, Chongqing University

💻 Academic Services

• 2022.09 - Now, Member of Pervasive Computing Professional Committee, China Computer Federation.
• Reviewer of Joint Academic Conference on Harmonized Human-Machine Environment (HHME) 2022.
• Reviewer of International Conference on Database Systems for Advanced Applications (DASFAA) 2024.
• Reviewer of International Joint Conference on Artificial Intelligence (IJCAI) 2023, 2024.
• Reviewer of Scientific Reports.

👩‍🏫 Teaching Experiences

• 2022 Spring, Teaching Assistant, B0911992Y Data Structure, University of Chinese Academic of Sciences.
• 2021 Spring, Teaching Assistant, B0911992Y Data Structure, University of Chinese Academic of Sciences.