Lingfei Wu is a Research Staff Member in the IBM AI Foundations Labs, Reasoning group at IBM T. J. Watson Research Center. He earned his Ph.D. degree in computer science from College of William and Mary in August 2016, under the supervision of Prof. Andreas Stathopoulos. His research interests lie at the intersection of Machine Learning(Deep Learning), Representation Learning, and Natural Language Processing, with a particular emphasis on the fast-growing subjects of Graph Neural Networks and its extensions on new application domains and tasks.
Lingfei has published more than 30 top-ranked conference and journal papers, including but not limited to SYSML, NIPS, KDD, ICDM, AISTATS, NAACL, EMNLP, AAAI, ICASSP, SC, SIAM Journal on Scientific Computing, IEEE Transaction on Big Data, and Journal of Computational Physics. He is also a co-inventor of more than 13 filed US patents. Lingfei regularly reviews the manuscripts for the following first-rate journals: SIAM Journal on Scientific Computing, SIAM Journal on Matrix Analysis and Applications, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Big Data, ACM Transactions on Management Information Systems, Data Mining and Knowledge Discovery, Pattern Recognition, and Future Generation Computer Systems.
Lingfei served as the Tutorial Chairs of IEEE BigData'18. In addition, he has regularly served as a TPC member of the following major AI/ML/DL/DM/NLP conferences: ACL'19, NAACL'19, IJCAI'19, KDD'19, ICML'19, ICLR'19, ICASSP'19, AAAI'19, WSDM'19, ACML'18, NIPS'18, ICML'18, IJCAI'18, KDD'18, ICDM'18, ICASSP'18, AAAI'18, WSDM'18, ICDM'17, IJCAI'17, BigData'17, KDD'17, AAAI'17, ICSSAP’17, and BigData'16.
You are very welcomed to visit his personal website: https://sites.google.com/a/email.wm.edu/teddy-lfwu/.