Min ZHANG

Min ZHANG is a Professor in the Department of Computer Science and Technology at Tsinghua University. His research interests include Web information retrieval, user behavior analysis, and machine learning. He joined the department in 2003 and has contributed to various research projects, including those related to information retrieval systems and search engine technologies. His work has been published in international journals and conferences such as SIGIR, CIKM, and WWW. He has also been involved in academic review roles for several conferences and journals. His research has been applied in real-world scenarios, including the Sogou online search engine through the Tsinghua-Sohu Joint Research Lab.

Min Zhang is a professor at Tsinghua University with research interests in web search, information retrieval, recommender systems, and user modeling. His work focuses on improving recommendation systems through explainable methods, fairness, and evaluation. Zhang has published extensively on topics such as neural attentional rating regression, fairness-aware group recommendation, and efficient neural matrix factorization. His research also explores user modeling, including the impact of reviewer bias in peer review and the development of explainable rules for recommendation using knowledge graphs. Additionally, he has contributed to the fields of multilingual text retrieval and phishing webpage detection through visual similarity analysis.