This work was supported by the National Natural Science Foundation of China under grants 61972290 and 61972173, and supported by the National Key R&D Program of China under grant 2018YFC1604000. This research was also supported in part by a research grant from the Natural Sciences and Engineering Research Council (NSERC) of Canada and York Research Chairs (YRC) program. In addition, this research was supported by the National Research Foundation, Singapore under its AI Singapore program. Authors’ addresses: Z. Xie, K. Zhao, and J. Liu (corresponding author), School of Computer Science, Wuhan University, Wuhan, China; emails: {xiezhiwen, kszhao, jinliu}@whu.edu.cn; R. Zhu, Information Retrieval and Knowledge Management Research Lab, Lassonde School of Engineering, York University, Toronto, Canada and AI Singapore, Singapore; email: sherryzh@cse.yorku.ca, sherryzhu@aisingapore.org; G. Zhou (corresponding author), School of Computer Science, Central China Normal University, Wuhan, China; email: gyzhou@mail.ccnu.edu.cn; J. X. Huang, Information Retrieval and Knowledge Management Research Lab, School of Information Technology, York University, Toronto, Canada; email: jhuang@yorku.ca. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2021 Association for Computing Machinery. 1046-8188/2021/11-ART44 $15.00 https://doi.org/10.1145/3471165