Professor Ji-Rong Wen is the executive dean of Gaoling School of Artificial Intelligence at Renmin University of China (RUC). He has years of experience working in big data and artificial intelligence fields, and publishing extensively in prestigious international conferences and journals. He is the PC Chair of SIGIR 2020 and the Associate Editor of ACM TOIS and IEEE TKDE. He worked at Microsoft Research Asia (MSRA) for 14 years and once was a senior researcher and the group manager of the Web Search and Mining Group. In 2013, he joined Renmin University of China to lead the big data and AI research, and, in particular, the interdisciplinary research between AI and social sciences & humanities. He was elected as a National Distinguished Professor in 2013 and Beijing’s Distinguished Young Scientist in 2018. He is the Chief Scientist of Beijing Academy of Artificial Intelligence, executive council member of China Computer Federation (CCF), standing committee member of Beijing Municipal Committee of the Chinese People’s Political Consultative Conference (CPPCC, 14th Session), and member of the Science and Technology Commission of the Ministry of Education (8th Term).
Zhicheng Dou is currently a professor at Renmin University of China. He received his bachelor and PhD degrees in computer science from the Nankai University in 2003 and 2008, respectively. He worked at Microsoft Research Asia as a researcher from July 2008 to September 2014. Zhicheng Dou’s research interests are Information Retrieval, Natural Language Processing, and Large Scale Web Data Analysis. He is particularly interested in exploring effective approaches for web search ranking, especially for ambiguous or broad queries. He has published more than 60 papers, and his research paper on personalized search published in WWW2007 has been cited more than 670 times based on the statistics of Google Scholar. He received the Best Paper Runner-Up Award from SIGIR 2013, the Best Paper Award from AIRS 2012, and the Best Paper from CCIR 2018. He served as the program co-chair of the short paper track for SIGIR 2019, system integration chair of SIGIR 2020 (online conference), general co-chair of AIRS 2016, program co-chair of AIRS 2017, program co-chair of CCIR 2020, program co-chair of NTCIR-16, etc. He is the Treasurer of SIGIR Beijing Chapter. He is also the project manager of the information retrieval direction at Beijing Academy of Artificial Intelligence. Zhicheng Dou is not a pure research guy - besides writing papers, he also enjoys writing codes to convert cool ideas into real systems. During the time he worked at Microsoft, he collaborated with the product team and transferred several search technologies into Bing, Office, and other Microsoft products. Till now, Zhicheng Dou has been granted 11 patents and 23 patents are under processing. Besides research, teaching, and development, Zhicheng Dou has taken several managing jobs. He is now the vice dean of the Gaoling School of Artificial Intelligence, responsible for managing both undergraduate and graduate programs of the school . Zhicheng Dou works very hard and he is passionate about all professional activities with good execution skills.
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 90 papers in international journals and conference proceedings including TPAMI, IJCV, TIP, ICML, NeurIPS, ICLR, CVPR, ICCV, and ECCV.
Jun Xu is a Professor at Gaoling School of Artificial Intelligence, Renmin University of China. He 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 professor at Microsoft Research Asia, Huawei Noah's Ark Lab, and Institute of Computing Technology, Chinese Academy of Sciences. He joined Renmin University of China in Sep. 2018. His research interests focus on applying machine learning to information retrieval and recommendation. He has published more than 80 papers and 2 monographs at top international journals and conferences, including TKDE, TOIS, JMLR, FnTIR, SIGIR, CIKM, ACL, EMNLP etc. His work on information retrieval has received the Test of Time Award Honorable mention of ACM SIGIR 2019, Best Paper Runner-up of ACM CIKM 2017, and Best Paper Award of AIRS 2010. He has served or is serving top international conferences as Senior PC members, including SIGIR, ACML, CIKM, AAAI, and top international journal of JASIST as an editorial board member, and ACM TIST as an associate editor. He has given tutorials at top conferences like SIGIR, WSDM, TheWebConf (WWW) on the topic of deep learning for semantic matching in search and recommendation.
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.
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.
Dr. Song Ruihua, National Distinguished Professor of High-level Talents, is a tenured associate professor at Gaoling School of Artificial Intelligence, Renmin University of China. She has been Lead Researcher of Microsoft Research Asia and Chief Scientist of Microsoft XiaoIce. Her algorithm completed the first collection of AI-created poems in human history, "The Sunlight Loses the Glass Window", on May 2017. From 2021 to 2022, as an academic leader, she released Wenlan image-text alignment models, which were transferred to products by Kuaishou, OPPO, etc. In 2023, as a core member, she released Yulan large language model. She has published more than 100 academic papers and applied for more than 30 patents. She has been nominated for the WWW 2004 Best Paper Award and won the 2022 First Prize of the Natural Science Award of the Ministry of Education. She serves SIGIR, ACL, KDD, WWW, EMNLP, CIKM, etc. as Track Chairs, Area Chair, Senior PC, or PC. Her recent research interests include multimodal understanding, creation, and interaction.
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. Qi is now a tenured Associate Professor of Gaoling School of Artificial Intelligence, Renmin University of China. She obtained her Ph.D. degree from the Department of Management Science and Engineering, Stanford University under guidance of Professor Yinyu Ye in 2012. Dr. Qi worked at Hong Kong University of Science and Technology before she moved to Renmin University of China. Her publications have appeared in Operations Research, Mathematics of Operations Research, Algorithmica and conferences including STOC, CCC, IJCAI, NeurIPS, WINE, etc. Her research interests lie generally in the areas of game theory and operations research, specifically mechanism and auction design, revenue and social welfare optimization, equilibrium computation and their applications in e-commerce, internet advertising, resource allocation and sharing economy.
Hao Sun is an Associate Professor with Tenure in the Gaoling School of Artificial Intelligence at Renmin University of China (RUC). He is also a Research Affiliate at MIT and an Affiliate Professor at Northeastern University (Boston, MA). He received his Ph.D. in Engineering Mechanics from Columbia University in 2014 and did his Postdoc training at MIT during 2014-2017. He was a Tenure-Track Assistant Professor at the University of Pittsburgh (2017-2018) and at Northeastern University (2018-2021) before joining RUC. His research interests lie in the fundamental theory, algorithms and interdisciplinary applications of AI for science, AI-enabled scientific computing, and scientific machine learning. His research aims to create fundamentally new and transformative AI-enabled strategies for scientific discovery of underexplored physical systems and tackling grand engineering challenges. Dr. Sun has co-authored over 70 peer-reviewed articles published in top-tiered journals (e.g., Nature Machine Intelligence, Nature Communications) and computer science conferences. His work has been widely reported in various national and international major media over 40 times, including MIT News, Fox News, ASCE Civil Engineering Magazine, etc. Dr. Sun was named to the prestigious 2018 Forbes "30 Under 30": Science, a list of the world’s most inspiring young innovators, bright rising stars and the leaders of tomorrow who are transforming the world, in recognition of his accomplishment in applied machine learning and infrastructure informatics. He also received the 2019 Top Ten Outstanding Chinese American Youth Award.
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.
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 artificial general intelligence (AGI) and its applications, especially optimal transport-driven machine learning, generative large model design, compression and fusion, and cutting-edge applications like AI4Math and AI4Science. He has published over 40 papers at top-tier conferences and journals in the field of machine learning.
I am Yong Liu, and I am presently serving as a Tenure-Track Associate Professor in the Gaoling School of Artificial Intelligence (GSAI) at Renmin University of China (RUC). My research interest lies in the learning theory of machine learning, with a particular emphasis on generalization analysis in complex scenarios, including areas such as non-convex stochastic optimization, large-scale machine learning methods, and non-independent and identical distribution. In these research directions, I have published over 50 papers as the first or corresponding author in top-tier journals and conferences in machine learning, including but not limited to TIT, JMLR, TPAMI, Artificial Intelligence, ICML, NeurIPS, ICLR. My work has garnered significant attention within the research community. I have been awarded as the “Outstanding Scholar” award of Renmin University of China, Youth Innovation Promotion Association of CAS, etc. Currently, there are a couple of projects I plan to continue and grow with the support of GSAI, including theoretical analysis of non-convex stochastic optimization, graph neural network, and large language model.
Jiaxin Mao is now a tenure-track associate professor at the 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 a 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 Web information, he currently focuses on User Behavior Analysis for Web Search Engines. He has published more than 50 papers in top-tier conferences 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, the Chinese Journal of Computers Best Paper Award, the Best Short Paper Honorable Mention Award of ICTIR 2019, and the 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 30 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 1500 times.
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.
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 20 papers in top-tier conferences and journals in related research areas. He was PC and SPC members of multiple international conferences including AAAI, IJCAI, ICML, NeurIPS, AAMAS. His research in mechanism design has already been adopted by online advertising platforms such as Baidu and ByteDance, and increased Baidu's revenue by about 5%.
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.
Wenbing Huang is now a tenure-track associate professor at Gaoling School of Artificial Intelligence (GSAI), Renmin University of China. Before joining GSAI, he worked as an assistant researcher at AIR, Tsinghua University, and senior researcher at Tencent AI Lab. His research focuses on the representation, generation, and prediction of complex systems driven by geometric deep learning. He has proposed a series of geometric deep learning approaches, with graph neural networks as representatives, effectively realizing the representation and generation of atomistic systems such as chemical molecules, proteins, antibodies, crystals, and the representation and behavior learning of complex systems like embodied intelligent agents, physical environments, and social networks. His achievements have been applied in areas such as AI for Science, physical simulation and decision-making, and social network analysis.
Yankai Lin received his B.E. and Ph.D. degrees from Tsinghua University in 2014 and 2019. After that, he worked as a senior researcher in Tencent WeChat, and joined Renmin University of China in 2022 as a tenure-track assistant professor. His main research interests are pretrained models and natural language processing. He has published more than 40 papers in international conferences on natural language processing and artificial intelligence such as ACL, EMNLP, NAACL, AAAI, IJCAI, NeurIPS, etc. His citations in Google Scholar (up to August 2022) is 6936, H-index is 27. He have received the First Class of Natural Science Award of Technology Development Centre, Ministry of Education of the People's Republic of China（The First Student Principal). The open-source toolkit OpenKE and OpenNRE have obtained more than 6,400 stars on Github. He has served as the area chair of international conferences such as EMNLP and ACL ARR.
Xiting Wang obtained her Bachelor's degree and Ph.D. from Tsinghua University and was previously a principal researcher at Microsoft Research Asia. Her research interest is explainable and trustworthy AI. She has published around 50 papers on top conferences or journals. Two of her papers were selected as the spotlight article by IEEE TVCG (one spotlight each issue). The technologies developed by Xiting have been applied in multiple products like Microsoft Bing and Microsoft News. Xiting is an area chair of IJCAI and AAAI. She was the archive chair of IEEE VIS, joined the editorial board of Visual Informatics, and was awarded Best SPC by AAAI 2021. She was invited to give a keynote speech in the SIGIR Workshop on explainable recommendation on 2022 and 2020, and is an IEEE senior member.
Chongxuan Li is an Associate Professor at the Gaoling School of Artificial Intelligence, Renmin University of China. He obtained both his Bachelor's and Ph.D. degrees from Tsinghua University. His primary research focus is on deep probabilistic learning. He has published over 40 papers in international conferences and journals in the field of machine learning, including ICML, NeurIPS, ICLR, and TPAMI. His works, such as Analytic-DPM and DPM-Solver, have been incorporated into renowned large-scale text-to-image generation models like DALL·E 2 and Stable Diffusion and were recognized as the Outstanding Paper Award at ICLR 2022 and one of the most influential papers at NeurIPS 2022 by Paper Digest respectively. Li has received accolades including the CAAI Wu Wenjun Award for Outstanding Young AI Scientist, the ACM SIGAI China Rising Star Award, the CCF Outstanding Ph.D. Thesis Award, and the first-class CAAI Wu Wenjun Award for AI. He was also selected for the China Postdoctoral Innovative Talent Support Program and Beijing Nova Program. Moreover, he will serve as an Area Chair for ICLR 2024. Homepage https://zhenxuan00.github.io/.
Xiao Zhang is a tenure-track Associate Professor and Ph.D. advisor at the Gaoling School of Artificial Intelligence, Renmin University of China, and a recipient of the Distinguished Young Scholar award. He has published over 40 papers in leading international conferences and journals, including ICML, NeurIPS, KDD, SIGIR, AAAI, IJCAI, WWW, ICDE, and VLDB, as well as top-tier journals such as IEEE TKDE, ACM TOIS, Journal of Computer Science, and Science China: Information Sciences. His work has been recognized with several prestigious awards, including the SIGIR 2024 Best Short Paper Nomination, VLDB 2024 Best Paper Nomination, WWW 2023 Best Paper Nomination, SIGIR-AP 2023 and SIGIR-AP 2024 Best Paper Award, ICPR 2018 Best Paper Award, CCFAI 2017 Best Paper Nomination, and CCDM 2016 Best Paper Award. He has been invited to serve on the program committees and senior program committees of several top conferences, including ICML, KDD, SIGIR, NeurIPS, AAAI, IJCAI, and WWW.
I received my Ph.D. in Artificial Intelligence from Gaoling School of Artificial Intelligence at Renmin University of China in June 2024, under the supervision of Prof. Zhewei Wei. Before that, I received my master’s degree of engineering from Beijing Technology and Business University in June 2020, under the supervision of Prof. Haisheng Li. I was a visiting scientist from March 2023 to September 2023 in CSIRO, DATA61, advised by Prof. Jiajun Liu.
I obtained my Bachelor's degree from Nanjing University in 2016, and my Master's and Ph.D. degrees from Central China Normal University in 2020 and 2024, respectively. After completing my Ph.D., I joined Renmin University of China as a postdoctoral researcher. My primary research interests are artificial intelligence and human-machine collaboration, and the application of large language models in education. My work has been published in conferences and journals such as AAAI, TMM, and ESWA.