Xiangyu Chen

According to our database, Xiangyu Chen authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learning 3D Perception from Others' Predictions.

Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DiffuBox: Refining 3D Object Detection with Point Diffusion.

Xiangyu Chen, Zhenzhen Liu, Katie Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning.

Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery.

Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Iterative Neural Optimizers for Image Steganography.

Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.

Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger

Proceedings of the Tenth International Conference on Learning Representations, 2022

Fixed Neural Network Steganography: Train the images, not the network.

Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q. Weinberger

Proceedings of the Tenth International Conference on Learning Representations, 2022

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, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Low-Precision Reinforcement Learning.

Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger

CoRR, 2021

Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision.

Johan Björck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.

Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020