Professor Ji-Rong WEN received his bachelor’s and master’s degrees from School of Information at Renmin University of China in 1994 and 1996 respectively. He obtained his Ph.D. from Institute of Computing Technology, Chinese Academy of Sciences in 1999 and in the same year joined Microsoft Research as senior researcher and director for internet search and mining.
Zhicheng Dou is currently the Associate Deanof GSAI, Renmin University of China. He received his Ph.D. and B.S. degrees in computer science and technology from the Nankai University in 2008 and 2003, respectively. He worked at Microsoft Research Asia from July 2008 to September 2014. He received the Best Paper Runner-Up Award from SIGIR 2013, and the Best Paper Award from AIRS 2012. Zhicheng Dou is not a pure research guy - besides writing papers, he also enjoys writing codes to convert cool ideas into real systems.
Jun Xu received his B.E. and Ph.D. in Computer Science from Nankai University, in 2001 and 2006, respectively. He worked as an associate researcher, researcher, and senior researcher at Microsoft Research Asia and Huawei Noah's Ark Lab. He joined Renmin University of China in 2018. His research interests include information retrieval, machine learning, and big data analysis.
Zhiwu Lu received the Master of Science degree in applied mathematics from Peking University in 2005, and the PhD degree in computer science from City University of Hong Kong in 2011. He has published over 70 papers in international journals and conference proceedings including TPAMI, IJCV, TIP, TCYB, TGRS, NeurIPS, AAAI, IJCAI, CVPR, ICCV, and ECCV.
Zhewei Wei received his Ph.D. of Computer Science and Engineering from Hong Kong University of Science and Technology. He did postdoctoral research in Aarhus University from 2012 to 2014, and joined Renmin University of China in 2014.
Xin Zhao received his Ph.D. in Computer Science from Peking University in 2014. His research interests include data mining, natural language processing and information retrieval in general. The main goal is to study how to organize, analyze and mine user generated data for improving the service of real-world applications.
Dr. Ruihua SONG is now a tenured Associate Professor of Gaoling School of Artificial Intelligence, Renmin University of China. She received her B.E. and M.E. from Tsinghua University in 2000 and 2003. She received her PhD from Shanghai Jiao Tong University in 2010. Dr. Song worked at Microsoft Research Asia from 2003 to 2017. Her research interests include information retrieval and extraction, recommendation and text generation. Her paper on web page block importance modeling got Best Paper Runner-up Award from WWW 2004. Her proposed generic main article extraction across websites algorithm was shipped as reading view features of IE 11. On May, 2017, the first poem collection that is 100% created by an AI was published. The book title is “Sunshine Lost Windows”. She contributes the generation algorithm from an image to a poetry. Later she joined Xiaoice team at Microsoft Software Technology Center as a principle data and applied science lead. Her recent research interests include AI based creation, multi-modal understanding of natural language, and multi-modal dialogue systems. Dr. Song published more than 80 research papers and hold more than 25 patents. She serves a lot of international conferences, such as SIGIR, CIKM, KDD etc. as Area Chair, Senior PC, or PC, and international journals, such as Information Retrieval Journal and Foundation and Trend of Information Retrieval, as Editorial Board. She will be the co-chair of SIGIR 2021 short paper.
Dr. Rui Yan was a tenure-track assistant professor and PhD advisor at Wangxuan Institute of Computer Technology, Peking University. He was selected as a Young Fellow at Beijing Academy of Artificial Intelligence (BAAI) and a Startrack scholar at Microsoft Research Asia (MSRA). He joined Gaoling School of Artificial Intelligence, Renmin University of China, as a tenured associate professor. Till now, he has published 100+ publications with 4,000+ citations. He often serves as an area chair/senior PC member for various first-tier international venues. He has been invited to give tutorial talks for a series of top international conferences. His research interests include natural language processing, information retrieval, text mining, machine learning and artificial intelligence.
Dr. Hongteng Xu got his Ph.D. from the School of Electrical and Computer Engineering, Georgia Institute of Technology, in 2017. Before that, he earned his Master's and Bachelor's degrees from Shanghai Jiao Tong University in 2013 and Tianjin University in 2010. His research interests include machine learning and its applications, especially the theory of optimal transport and point process models for complex data analysis, modeling, prediction, generation, and control. He has published over 20 papers at top-tier conferences and journals in the field of machine learning.
Bing Su received the BS degree in information engineering from the Beijing Institute of Technology, Beijing, China, in 2010, and the PhD degree in electronic engineering from Tsinghua University, Beijing, China, in 2016. From 2016 to 2020, he worked with the Institute of Software, Chinese Academy of Sciences, Beijing. His research interests include pattern recognition, computer vision, and machine learning.
He obtained Bachelor degree in Yao class in 2011 and Ph.D of Computer Science in IIIS, Tsinghua University. He worked for Shanghai University of Finance and Economics for 4 years before he moved to Renmin University of China
Weiran Shen obtained his Bachelor's degree from the Department of Electronic Engineering and his Ph.D. from IIIS, both at Tsinghua University. He was a post-doc researcher at Carnegie Mellon University from 2019 to 2020. His research interest includes multi-agent system, game theory, mechanism design, and machine learning. He published more than 10 papers in top-tier conferences during his Ph.D. He was a PC member and an SPC member of multiple international conferences including AAAI, IJCAI, AAMAS, NeurIPS. His research in mechanism design has already been adopted by online advertising platforms such as Baidu and ByteDance.
Di Hu is tenure-track faculty at Gaoling School of Artificial Intelligence, Renmin University of China. Before that, he was previously a research scientist at Baidu Research. He obtained the PhD degree from Northwestern Polytechnical University, supervised by Xuelong Li and Feiping Nie. His research interests are mainly about machine multimodal perception and learning. He has published over 10 papers on top-tier conferences and journals in artificial intelligence, e.g., CVPR, ICCV, ECCV, AAAI etc. He received the 2019 ACM XI’AN Doctoral Dissertation Award, the 2020 CAAI Doctoral Dissertation Award. He served as the program committee of several conferences, e.g., CVPR, ICCV, ECCV, NeurIPS, AAAI etc.
Yong Liu is tenure-track faculty at Gaoling School of Artificial Intelligence, Renmin University of China. He obtained the PhD degree from Tian Jin University, supervised by Shizhong Liao. His research interests are mainly about machine learning, with special attention to large-scale machine learning, autoML, statistical machine learning theory, etc. He has published over 30 papers on top-tier conferences and journals in artificial intelligence, e.g., TPAMI, NeurIPS, ICML, IJCAI, AAAI, TIP, TNNLS, etc. He received the "Youth Innovation Promotion Association" of CAS and the "Excellent Talent Introduction" of Institute of Information Engineering, CAS. He served as the program committee of several conferences, e.g., NeurIPS, AAAI, IJCAI, ECAI etc.
Jiaxin Mao is now a tenure-track assistant professor at Gaoling School of Artificial Intelligence, Renmin University of China. Before that he was a postdoctoral research fellow at the Department of Computer Science and Technology at Tsinghua University. He obtained the Ph.D. degree from Tsinghua University, supervised by Prof. Shaoping Ma and Prof. Yiqun Liu. His research interests lie in the area of Information Retrieval, Web Search, and Applied Machine Learning. With a wider interest in how people interact with the huge amount of information on the Web, he currently focus on User Behavior Analysis for Web Search Engines.He has published more than 30 papersintop-tierconferences and journals in IR, including SIGIR, TOIS, WWW, WSDM, CIKM, IJCAI, and ECIR. He was a recipient of the Best Full Paper Honorable Mention Award of SIGIR 2020, Chinese Journal of Computers Best Paper Award , Best Short Paper Honorable Mention Award of ICTIR 2019, and Best Short Paper Honourable Mention Award of SIGIR 2018. He is the ACM SIGIR Student Affairs Co-Chair since 2018 and he served as an ACM SIGIR Student Liaison during 2017-2018. He also served as a reviewer and PC member for TOIS, TKDE, JASIST, SIGIR, WWW, WSDM, AAAI, CIKM, EMNLP-IJCNLP, ECIR, NLPCC, and CCIR.
Xu Chen obtained his PhD degree from Tsinghua University, China. Before joining Renmin University of China, he was a postdoc researcher at University College London, UK. In the period from March to September of 2017, he was studying at Georgia Institute of Technology, USA, as a visiting scholar. His research mainly focuses on the recommender system, reinforcement learning and causal inference. He has published about 20 papers on top-tier conferences and journals such as SIGIR、TOIS、WWW、WSDM、CIKM、AAAI. According to Google Scholar, his papers has been cited more than 1100 times. His papers have won the best paper honorable mention award on the Web Conference 2018 and the best paper award on AIRS 2017. He has served as the PC member for many prestigious conferences, such as SIGIR、WWW、IJCAI、AAAI、CIKM.
Dr. Xiao Zhou joined Gaoling School of Artificial Intelligence, Renmin University of China as a tenure-track assistant professor in 2021. Prior to that, she worked as a postdoctoral fellow at the MIT Senseable City Lab. She holds a Ph.D. in computer science from University of Cambridge, UK, supervised by Professor Cecilia Mascolo. Her research interest lies primarily in data mining, urban computing, human mobility, social network analysis, and multi-modal learning. She is particularly interested in applications of machine learning techniques in the social sciences, economics, and healthcare for better policy-making and more intelligent mobile services. During her Ph.D. studies, she also landed internships at tech companies including Microsoft Research Asia and WeChat Group at Tencent, working on personalised recommender systems.