Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. - Yan Wang 051; Xiangyu Chen 007; Yurong You; Li Erran Li; Bharath Hariharan; Mark E. Campbell; Kilian Q. Weinberger; Wei-Lun Chao (CVPR, 2020)

Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision. - Johan Björck; Xiangyu Chen 007; Christopher De Sa; Carla P. Gomes; Kilian Q. Weinberger (ICML, 2021)

Low-Precision Reinforcement Learning. - Johan Bjorck; Xiangyu Chen 007; Christopher De Sa; Carla P. Gomes; Kilian Q. Weinberger (CoRR, 2021)

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. - Carlos Andres Diaz-Ruiz; Youya Xia; Yurong You; Jose Nino; Junan Chen; Josephine Monica; Xiangyu Chen 007; Katie Luo; Yan Wang 051; Marc Emond; Wei-Lun Chao; Bharath Hariharan; et al. (CVPR, 2022)

Fixed Neural Network Steganography: Train the images, not the network. - Varsha Kishore; Xiangyu Chen 007; Yan Wang 051; Boyi Li; Kilian Q. Weinberger (ICLR, 2022)

Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. - Yurong You; Katie Z. Luo; Xiangyu Chen 007; Junan Chen; Wei-Lun Chao; Wen Sun 002; Bharath Hariharan; Mark E. Campbell; Kilian Q. Weinberger (ICLR, 2022)

Learning Iterative Neural Optimizers for Image Steganography. - Xiangyu Chen 007; Varsha Kishore; Kilian Q. Weinberger (ICLR, 2023)

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. - Cole Gulino; Justin Fu; Wenjie Luo; George Tucker; Eli Bronstein; Yiren Lu 001; Jean Harb; Xinlei Pan; Yan Wang 051; Xiangyu Chen 007; John D. Co-Reyes; Rishabh Agarwal; et al. (NeurIPS, 2023)

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. - Katie Luo; Zhenzhen Liu; Xiangyu Chen 007; Yurong You; Sagie Benaim; Cheng Perng Phoo; Mark E. Campbell; Wen Sun 002; Bharath Hariharan; Kilian Q. Weinberger (NeurIPS, 2023)

Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. - Ruihan Wu; Xiangyu Chen 007; Chuan Guo 001; Kilian Q. Weinberger (UAI, 2023)

DiffuBox: Refining 3D Object Detection with Point Diffusion. - Xiangyu Chen 007; Zhenzhen Liu; Katie Luo; Siddhartha Datta; Adhitya Polavaram; Yan Wang 051; Yurong You; Boyi Li; Marco Pavone 001; Wei-Lun Chao; Mark E. Campbell; Bharath Hariharan; et al. (NeurIPS, 2024)

Learning 3D Perception from Others' Predictions. - Jinsu Yoo; Zhenyang Feng; Tai-Yu Pan; Yihong Sun; Cheng Perng Phoo; Xiangyu Chen 007; Mark E. Campbell; Kilian Q. Weinberger; Bharath Hariharan; Wei-Lun Chao (ICLR, 2025)