Email: wanghao3@ustc.edu.cn
個人主頁： http://staff.ustc.edu.cn/~wanghao3/
實驗室主頁：http://cogskl.iflytek.com/, https://bigdata.ustc.edu.cn/
主要研究方向： 數據挖掘與知識發現、機器學習及其應用、圖網絡挖掘等
王皓，男，1993年生，安徽安慶人，博士，特任副研究員，碩士生導師。2021年獲得中國科學技術大學計算機應用專業博士學位，曾於2020年1月至2021年1月赴美國伊利諾伊大學香檳分校訪問學習，主要研究方向為數據挖掘、推薦係統、深度學習及其應用等。近年來，在相關領域高水平學術期刊（如TKDE、TOIS等）和國際重要學術會議（如：NeurIPS、KDD、SIGIR、AAAI等）上發表論文30餘篇，申請發明專利10餘項。擔任IEEE TKDE、ACM TIST等學術期刊審稿人，以及NeurIPS、KDD等多個國際會議的程序委員會委員。
獲獎情況：
1. 2022年，中國科學技術大學-墨子傑出青年特資津貼
2. 2020年，中國科學技術大學博士論文創優計劃
3. 2019年，國家留學基金委公派聯合培養博士生獎學金
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
