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. Lingfei has published more than 60 top-ranked conference and journal papers, including but not limited to NIPS, ICML, ICLR, AISTATS, KDD, ICDM, ACL, EMNLP, NAACL, IJCAI, AAAI, and SIAM Journal on Scientific Computing. He is also a co-inventor of more than 25 filed US patents. He was the recipients of the Best Paper Award in IEEE ICC'19 and KDD workshop on DLG'19, and the Best Student Paper Award in AIAED'19 and KDD workshop on DLG'19. Lingfei's research has been featured in numerous media outlets, including NatureNews, YahooNews, Venturebeat, TechTalks, SyncedReview, Leiphone, QbitAI, MIT News, IBM Research News, and SIAM News.