Deep learning researcher
Jian Tang is an assistant professor in the Department of Decision Sciences at HEC Montréal, as well as a senior academic member at Mila, the Institut Québécois d'Intelligence Artificielle. He holds a Canada - CIFAR Research Chair in AI. His main research interests are deep learning, reinforcement learning, graph representation learning, natural language understanding, recommender systems and drug discovery. During his PhD, he received the Best Paper Award at the 2014 ICML conference; in 2016, he was nominated for the Best Paper Award at the World Wide Web (WWW) Data Mining Conference; in 2020, he received the Amazon and Tencent Faculty Research Award. He is one of the most representative researchers in the field of graph representation learning and has published a representative body of work in this area such as the LINE and RotatE algorithms. The algorithm he developed on node representation learning, LINE, has been widely recognized and is the most cited paper at the WWW conference between 2015 and 2019. Recently, his group just released an open-source platform for drug discovery called TorchDrug, aiming to make AI drug discovery software and libraries freely available to the research community. He is a senior referee for the ICML and NeurIPS conferences.