University of Science and Technology of China
Domain of Research: machine learning, feature selection, causal learning, and causal inference.
Xingyu Wu received a BSc degree from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2018. He is currently working toward a Ph.D. degree in the School of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, China. His research interests include causality-based machine learning, feature selection, causal learning, and causal inference. His previous service includes: 1. Reviewer of IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2. Reviewer of International Journal of Intelligent Systems (IJIS) 3. Reviewer of ACM Transactions on Intelligent Systems and Technology (TIST) 4. Reviewer of IEEE/CAA Journal of Automatica Sinica (JAS) 5. PC member of the 35th AAAI Conference on Artificial Intelligence (AAAI'21) 6. PC member of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'21) 7. PC member of the 36th AAAI Conference on Artificial Intelligence (AAAI'22) Please refer to http://home.ustc.edu.cn/~xingyuwu/ for detailed information.