Email: wanghao3@ustc.edu.cn
个人主页： http://staff.ustc.edu.cn/~wanghao3/
实验室主页：http://cogskl.iflytek.com/, https://bigdata.ustc.edu.cn/
主要研究方向： 数据挖掘与知识发现、机器学习及其应用、图网络挖掘等
王皓，男，1993年生，安徽安庆人，博士，特任副研究员，硕士生导师。2021年获得中国科学技术大学计算机应用专业博士学位，曾于2020年1月至2021年1月赴美国伊利诺伊大学香槟分校访问学习，主要研究方向为数据挖掘、推荐系统、深度学习及其应用等。近年来，在相关领域高水平学术期刊（如TKDE、TOIS等）和国际重要学术会议（如：NeurIPS、KDD、SIGIR、AAAI等）上发表论文30余篇，申请发明专利10余项。担任IEEE TKDE、ACM TIST等学术期刊审稿人，以及NeurIPS、KDD等多个国际会议的程序委员会委员。
获奖情况：
1. 2022年，中国科学技术大学-墨子杰出青年特资津贴
2. 2020年，中国科学技术大学博士论文创优计划
3. 2019年，国家留学基金委公派联合培养博士生奖学金
代表性著作：
[1]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang*, Defu Lian, Mengdi Zhang, Enhong Chen, KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification, The 32nd International Joint Conference on Artificial Intelligence (IJCAI’23), Accepted.
[2]. Yongqiang Han, Likang Wu, Hao Wang*, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, and Enhong Chen, GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation, The 28th International Conference on Database Systems for Advanced Applications, (DASFAA'2023), Accepted.
[3]. Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv and Shijin Wang. TechCD: Transferable Knowledge Concept Graph Embedding for Domain-Level Zero-Shot Cognitive Diagnosis, The 46th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2023)
[4]. Hang Zhang, Hao Wang*, Guifeng Wang, Jiayu Liu, Qi Liu, A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation, The 31st ACM International Conference on Information & Knowledge Management, (CIKM'2022),
[5]. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang and Enhong Chen, Decoupled Representation Learning for Attributed Networks, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021, Accepted.
[6]. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang and Enhong Chen*, HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation, ACM Transactions on Information Systems (ACM TOIS), 2021, Accepted
[7]. Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu and Wen Su, MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network, In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’2019), Anchorage, AK, USA, pp. 1064-1072, 2019.
[8]. Hao Wang, Enhong Chen*, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang, A united approach to learning sparse attributed network embedding, 2018 IEEE International Conference on Data Mining (ICDM’2018), Singapore, pp. 557-566, 17-20 Nov. 2018.
[9]. Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou, Federated User Modeling from Hierarchical Information, ACM Transactions on Information Systems, (TOIS'2023), Accepted
[10]. Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee, ProtGNN: Towards Self-Explaining Graph Neural Networks, AAAI’2022, Accepted
