王 超
E-mail：chadwang2012@gmail.com
主要研究方向：数据挖掘、推荐系统、图神经网络
王超，2016年于中国科学技术大学少年班学院获理科学士学位，2022年于中国科学技术大学计算机学院获工学博士学位，博士导师为熊辉教授和陈恩红教授，2024年于广州市香港科大霍英东研究院、香港科技大学（广州）博士后出站，博士后合作导师为王炜教授。
近年来，主持国家博士后面上基金1项、广州市博士后科研项目1项、南沙区博士后科研项目1项，作为项目骨干参与科技部重点研发项目1项。在相关领域国际重要期刊及会议发表论文20余篇，其中以第一作者及通讯作者身份发表CCF推荐的A类期刊和会议论文10余篇，已公开专利5项，成果在百度等真实业界应用场景中落地实践，作为主要起草人参与制定中国人工智能产业发展联盟团体标准1项。曾获得中国计算机学会CCF优秀博士学位论文激励计划（CCF优博，每年仅10人）、《中国科学：信息科学》2022年度热点论文（每年4篇）、中科院院长优秀奖、“香港科大-杰瑞集团”2022人工智能百万奖金国际创业大赛亚军(团队AI算法总监)等荣誉。
主要论著：
1. Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong. COMET: NFT Price Prediction with Wallet Profiling. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (KDD-2024), 2024, accepted. (CCF A)
2. Leilei Ding, Dazhong Shen, Chao Wang*, Tianfu Wang, Le Zhang, Yanyong Zhang*. DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. The 33rd International Joint Conference on Artificial Intelligence, (IJCAI-2024), 2024, accepted. (CCF A)
3. Tianfu Wang, Qilin Fan, Chao Wang*, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong*. FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. The 33rd International Joint Conference on Artificial Intelligence, (IJCAI-2024), 2024, accepted. (CCF A)
4. Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong. Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting. The 33rd International Joint Conference on Artificial Intelligence, (IJCAI-2024), 2024, accepted. (CCF A)
5. Wei Wu, Chao Wang*, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong*. AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, (SIGIR-2024), 2024, accepted. (CCF A)
6. Yunqin Zhu, Chao Wang*, Qi Zhang, Hui Xiong*. Graph Signal Diffusion Model for Collaborative Filtering. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, (SIGIR-2024), 2024, accepted. (CCF A)
7. Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong. Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning. Proceedings of the 31st World Wide Web Conference (WWW-2024), 2024. (CCF A)
8. Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong. Temporal Graph Contrastive Learning for Sequential Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2024), 2024, accepted. (CCF A)
9. Shasha Hu, Chao Wang*, Chuan Qin, Hengshu Zhu, and Hui Xiong*. Super-node Generation for GNN-based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening. The 29th International Conference on Database Systems for Advanced Applications (DASFAA-2024), Gifu, Japan, accepted, 2024. (CCF B)
10. Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong. SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. ACM Transactions on Information Systems (ACM TOIS), 2023, accepted. (CCF A)
11. Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, and Hui Xiong. Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction. In Proceedings of the 16th International Conference on Knowledge Science, Engineering and Management (KSEM-2023), accepted, Guangzhou, China, 2023. (CCF C)
12. Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, and Enhong Chen. Interaction-aware drug package recommendation via policy gradient. ACM Transactions on Information Systems (ACM TOIS), 2022, 41(1): 1-32. (CCF A)
13. Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong. Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach. ACM Transactions on Information Systems (ACM TOIS), 2022, 40(4): 1-32. (CCF A)
14. Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong. Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. In Proceedings of the 28th World Wide Web Conference (WWW-2021), Ljubljana, 2021. (CCF A)
15. Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, and Hui Xiong. Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. The 35th Conference on Neural Information Processing Systems (NeurIPS-2021), Virtual Conference, Dec. 6-14th 2021. (CCF A)
16. Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen. Drug Package Recommendation via Interaction-aware Graph Induction. The 30th International World Wide Web Conference (WWW-2021), Ljubljana, Slovenia, April 19-23 2021. (CCF A)
17. Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong. Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-2021), 2021. (CCF A)
18. Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong. A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. In Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN-2021), Shenzhen, China, 2021. (CCF C)
19. Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong. SetRank: A setwise Bayesian approach for collaborative ranking from implicit feedback. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2020). 2020, 34(04): 6127-6136. (CCF A)
20. Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong. Personalized Employee Training Course Recommendation with Career Development Awareness. Proceedings of The Web Conference 2020 (WWW-2020). 2020: 1648-1659. (CCF A)
21. Chuan Qin, Hengshu Zhu, Fuzhen Zhuang, Qingyu Guo, Qi Zhang, Le Zhang, Chao Wang, Enhong Chen, Hui Xiong. A survey on knowledge graph-based recommender systems. Scientia Sinica Informationis, 2020, 50(7): 937-956. [秦川, 祝恒书, 庄福振, 郭庆宇, 张琦, 张乐, 王超, 陈恩红, 熊辉, 基于知识图谱的推荐系统研究综述, 中国科学: 信息科学, 2020] (CCF A 中文核心)
22. Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He. Molecular property prediction: A multilevel quantum interactions modeling perspective. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2019). 2019, 33(01): 1052-1060. (CCF A)
23. Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen. Constructing Educational Concept Maps with Multiple Relationships from Multi-source Data. 2019 IEEE International Conference on Data Mining (ICDM-2019). IEEE, 2019: 1108-1113. (CCF B)
24. Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang. Confidence-aware matrix factorization for recommender systems. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2018). 2018, 32(1). (CCF A)
25. Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen. Multiple pairwise ranking with implicit feedback. Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM-2018). 2018: 1727-1730. (CCF B)
26. Chao Wang, Qi Liu, Enhong Chen, Zhenya Huang, Tianyu Zhu, Yu Su, Guoping Hu. The Rapid Calculation Method of DINA Model for Large Scale Cognitive Diagnosis. [王超，刘淇，陈恩红，黄振亚，朱天宇，苏喻，胡国平，面向大规模认知诊断的DINA模型快速计算方法研究, 电子学报，46(5):1047-1055，2018]. (CCF A 中文核心)