Yanhao Wang
About Me
I am a tenure-track associate professor in the School of Data Science and Engineering, East China Normal University. Before joining ECNU, I was a postdoctoral researcher in the Department of Computer Science, University of Helsinki (work with Asst. Prof. Michael Mathioudakis). My research interest lies in both the theoretical and practical aspects of data management, data mining, and machine learning. In particular, my recent studies focus on data stream algorithms, data management for machine learning, algorithmic fairness, and graph mining.
Contact
Address: 3663 North Zhongshan Road, Shanghai 200062
Email: yhwang (at) dase (dot) ecnu (dot) edu (dot) cn
Education
Ph.D. in Computer Science, National University of Singapore, Singapore, 2016-2020 (supervisor: Prof. Kian-Lee Tan)
M.Eng. in Computer Science, Renmin University of China, Beijing, China, 2014 (supervisor: Prof. Shan Wang)
B.Eng. in Computer Science, Shandong University, Jinan, China, 2011
Research Interests
Theory: approximation algorithm; streaming algorithm; submodular optimization; computational geometry; graph algorithm
Applications: social data stream analytics (influence tracking, summarization, web search, outlier detection); graph mining (pattern search, motif discovery, influence analysis); spatial-temporal data management; algorithmic fairness
Academic Services
I serve as a PC member for the following conferences:
AAAI 2023, 2024
ACL (Rolling Review) 2023
CCIS 2019
CIKM 2021, 2023
ICDE 2022 (Demo Track), 2023 (Demo Track), 2024
IJCAI 2022, 2023
IJCNN 2023
ECML-PKDD 2022 (Demo Track), 2023
KDD 2022, 2023
PAKDD 2020, 2021, 2022, 2023
SSTD 2021
WSDM 2023, 2024
I serve as a reviewer for the following journals:
ACM Computing Surveys (CSUR)
ACM Transactions on Database Systems (TODS)
ACM Transactions on Knowledge Discovery from Data (TKDD)
ACM Transactions on the Web (TWEB)
Data Mining and Knowledge Discovery (DMKD)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Services Computing (TSC)
IEEE Transactions on Computational Social Systems (TCSS)
Journal of Big Data
Journal of Combinatorial Optimization
Journal of Computer Science and Technology (JCST)
Knowledge and Information Systems (KAIS)
Machine Learning
Social Network Analysis and Mining (SNAM)
The VLDB Journal (VLDBJ)
The World Wide Web Journal (WWWJ)