Fuli Feng is a Professor in both School of Data Science and School of Cyber Science and Technology in University of Science and Technology of China. I received B.Eng. from Beihang University in July 2015 and PhD from National University of Singapore in August 2019. I have 100 publications appeared in several top conferences such as SIGIR, SIGKDD, WWW, and ACL, and journals including TKDE, TOIS, and TPAMI. I received the Best Paper Honourable Mention in SIGIR 2021 and Best Poster Award in WWW 2018. My research interests include information retrieval, data mining, and multi-media analytics, particularly in machine learning techniques and applications such as causal inference, graph neural networks, adversarial learning, multi-source learning, recommender systems, FinTech, and text mining. Moreover, I have served as the AC or SPC/PC-member for top-tier conferences including SIGIR, WWW, SIGKDD, NeurIPS, ICLR, ICML, ACL, and the invited reviewer for prestigious journals such as TOIS, TKDE, TPAMI, TNNLS, JASA, and Nature Sustainability.
In 2015, he received a doctorate degree in computer science from Peking University and was awarded the outstanding graduate of Peking University. From 2015 to 2019, he served as a postdoctoral fellow and assistant researcher at Peking University, and was funded by the Natural Science Foundation, the Natural Science Foundation Youth Project, and the Postdoctoral Foundation. From 2019 to 2024, he was an assistant professor at Lancaster University and an associate professor at Coventry University in the United Kingdom, during which he was awarded the Engineering and Natural Sciences Research Council Outstanding Young People Fund. In 2022, he will be selected into the National Young Talent Project (overseas), and in 2024, he will return to China and join the School of Artificial Intelligence and Data Science of USTC. He has published more than 100 articles in relevant international journals and conferences, including several CCF Class A journals and conferences.