Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds. - Chris Zhang 001; Wenjie Luo 002; Raquel Urtasun (3DV, 2018)

Graph HyperNetworks for Neural Architecture Search. - Chris Zhang 001; Mengye Ren; Raquel Urtasun (ICLR (Poster), 2019)

Rethinking Closed-Loop Training for Autonomous Driving. - Chris Zhang 001; Runsheng Guo 003; Wenyuan Zeng; Yuwen Xiong; Binbin Dai; Rui Hu 001; Mengye Ren; Raquel Urtasun (ECCV (39), 2022)

Towards Scalable Coverage-Based Testing of Autonomous Vehicles. - James Tu; Simon Suo; Chris Zhang 001; Kelvin Wong; Raquel Urtasun (CoRL, 2023)

Learning Realistic Traffic Agents in Closed-loop. - Chris Zhang 001; James Tu; Lunjun Zhang; Kelvin Wong; Simon Suo; Raquel Urtasun (CoRL, 2023)

Learning to Drive via Asymmetric Self-Play. - Chris Zhang 001; Sourav Biswas 001; Kelvin Wong; Kion Fallah; Lunjun Zhang; Dian Chen; Sergio Casas 002; Raquel Urtasun (ECCV (62), 2024)

SceneControl: Diffusion for Controllable Traffic Scene Generation. - Jack Lu; Kelvin Wong; Chris Zhang 001; Simon Suo; Raquel Urtasun (ICRA, 2024)