Our work on Neural Logic Reasoning, Neural Symbolic Reasoning, Explainable Recommendation, and Economic Recommendation are accepted by the 2020 ACM Conference on Knowledge and Information Management.
Our work on risk-aware recommendation, fairness-aware recommendation, echo chamber analysis, and learning to hash are accepted as long papers on the SIGIR 2020 conference.
Three long papers accepted by CIKM, including our recent research on conversational search, conversational QA, and recommendation systems.
Our recent research on explainable recommendation, graph neural networks, and conversational systems got accepted by SIGIR 2019.
Our research on bridging economic principles and machine learning to analyze the web economy got accepted by the Web Conference 2019 (WWW 2019).