Renjie is a PhD student in the Machine Learning Group of the Department of Computer Science, University of Toronto, supervised by Professor Raquel Urtasun and Professor Richard Zemel. He is also a Senior Research Scientist in Uber’s Advanced Technologies Group R&D and affiliated with the Vector Institute. Renjie received his MPhil from the Department of Computer Science and Engineering at the Chinese University of Hong Kong, under the supervision of Professor Jiaya Jia. He got his BEng from the School of Automation Science and Electrical Engineering at Beihang University (formerly Beijing University of Aeronautics and Astronautics).
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel (NeurIPS 2019)
Neural Guided Constraint Logic Programming for Program Synthesis
Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard Zemel (NeurIPS 2018)
Inference in Probabilistic Graphical Models by Graph Neural Networks
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard Zemel, Xaq Pitkow (ICLR 2018, workshop)