Name：Desheng Cai
Title：Associate Professor
Type of tutor：Master's supervisor
Email：caidsml@gmail.com
Address：1-307
I am currently an Associate Professor and Master Supervisor at the School of Computer Science and Engineering, Tianjin University of Technology, China. I has authored more than 10 scientific articles in leading international conferences and journals, including ACM Transactions on Information Systems (TOIS), IEEE Transactions on Multimedia (TMM), The Web Conference (WWW), and ACM Multimedia (ACM MM) etc. My research focuses on Artificial Intelligence, Multimedia analysis and Retrieval, Recommender Systems, Generative Model, Graph Neural Networks and Computer Vision. I welcome motivated students interested in Recommender Systems, Multimodal Learning, Generative model and Computer Vision.
l Multimedia Analysis and Retrieval
l Recommender Systems
l Generative Models
l Graph Neural Networks
l Computer Vision
l Data Mining
l “Incremental Topic Detection for Micro Videos in Open-Domain Environments”, National Natural Science Foundation of China (PI), 2025.01–2027.12.
l “Cross-media Interpretable Analysis and Reasoning for Domain Big Data”, National Natural Science Foundation of China (Participant), 2021.01–2025.12.
l “Complex Multimedia Content Analysis, Recommendation and Visualization in Big Data Environments”, National Natural Science Foundation of China (Participant), 2015.01–2019.12.
l “Multimodal Cold-Start Recommendation for Short Videos”, Kuaishou Technology (Research Executor), 2019.06–2021.08.
l “Topic Modeling with Multimodal User Behavior for Recommendation Scenarios”, Tencent WeChat Rhino-Bird Project (Research Executor), 2021.04–2022.04.
[1] Ying He, Desheng Cai*, Shengsheng Qian, Quan Fang, Yinwei Wei and Changsheng Xu. “Multi- modal Bipartite Graph Structure Learning with Information Bottleneck for Micro-video Recommendation.” The Web Conference (WWW), 2026.
[2] Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu. “User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network.” ACM Transactions on Information Systems (TOIS), vol. 41, pp. 1-27, 2023.
[3] Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu. “Adaptive Anti-Bottleneck Multi-Modal Graph Learning Network for Personalized Micro-video Recommendation.” ACM Multimedia (MM) 2022: 581-590.
[4] Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu. “Heterogeneous Graph Contrastive Learning Network for Personalized Micro-Video Recommendation.” EEE Transactions on Multimedia (TMM), vol. 25, pp. 2761-2773, 2023.
[5] Desheng Cai, Shengsheng Qian, Quan Fang, Changsheng Xu. “Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation.” IEEE Transactions on Multimedia (TMM), vol. 24, pp. 805-818, 2022.
[6] Desheng Cai, Gongqing Wu. “Content-aware Attributed Entity Embedding for Synonymous Named Entity Discovery.” Neurocomputing, vol. 329, pp. 237-247, 2019.
[7] Junwei Lv, Ying He, Xuegang Hu, Desheng Cai, Yuqi Chu, Jun Hu. “Dual Confidence Learning Network for Open-World Time Series Classification.”. Database Systems for Advanced Applications (DASFAA) 2022:574-589.
[8] Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu. Meta-path Based Graph Contrastive Learning for Micro-video Recommendation[J]. Expert Systems with Application, 2023.
[9] Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu. “Cross-View Sample-Enriched Graph Contrastive Learning Network for Personalized Micro-video Recommendation.” ACM International Conference on Multimedia Retrieval (ICMR) 2023:48-56.
[10] Ying He, Gongqing Wu, Desheng Cai, Shengjie Hu, Xianyu Bao, Xuegang Hu:Attentive Interaction-driven Entity Resolution over Multi-source Web Information. Neurocomputing 425: 266-277 (2021)
Web Application Design and Development
Outstanding Graduate of Anhui Province, 2023
