News

• Our work LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving was accepted (Oral) by ICCV 2021
  Congratulations to Alex!
• Our work LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting was accepted by IROS 2021
  Congratulations to Wenyuan!
• Our work Safety-Oriented Pedestrian Occupancy Forecasting was accepted by IROS 2021
  Congratulations to Katie!
• I was invited to give a talk "On the Generalization of Graph Neural Networks and their Applications in Probabilistic Inference" at the 2021 Annual Meeting of Canadian Applied and Industrial Math Society (CAIMS)
• Our work NP-DRAW: A Non-parametric Structured Latent Variable Model for Image Generation was accepted by UAI 2021
  Congratulations to Xiaohui! Code is available!
• Our work Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation was accepted by ICML 2021
  Congratulations to Yang! Code is available!
• Our work Structure-Coherent Deep Feature Learning for Robust Face Alignment was accepted by IEEE TIP 2021
  Congratulations to Chunze!
• I successfully defended my PhD on Dec. 18 2020 (Dept.) and Mar. 19 2021 (SGS)
  Thanks to my committee: Richard Zemel, Raquel Urtasun, Sanja Fidler, David Duvenaud, Murat Erdogdu, and Stefanie Jegelka
  My thesis is online!
• Our work A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks was accepted by ICLR 2021
• 1 paper was accepted by IEEE TPAMI 2020
• 4 papers (1 Oral) were accepted by ECCV 2020
• 1 paper was accepted by ICML 2020
• I was co-organizing ICML 2020 Workshop on Bridge Between Perception and Reasoning: Graph Neural Networks & Beyond
• I was co-organizing ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+)
• 1 paper was accepted by ICRA 2020
• 2 papers were accepted by NeurIPS 2019
• I was co-organizing NeurIPS 2019 Workshop on Graph Representation Learning
• 1 paper was accepted by CoRL 2019
• 1 paper was accepted by ICCV 2019
• Our work received Best Paper Award in ICML 2019 Workshop on Tractable Probabilistic Modeling
• I was co-organizing KDD 2019 Workshop on Deep Learning on Graphs: Methods and Applications
• 1 paper was accepted by ICML 2019
• I received RBC Graduate Fellowship
• I was co-organizing ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data
• 2 papers (1 Oral) were accepted by CVPR 2019
• 1 paper was accepted by ICLR 2019