Biography

I am a 5th-year Ph.D. student at Cornell University, where I work with Prof. Kilian Q. Weinberger. I obtained my B.S. degree in Computer Science from Shanghai Jiao Tong University, advised by Prof. Cewu Lu. I have also spent great times at Berkeley DeepDrive, working with Prof. Trevor Darrell and Prof. Fisher Yu.

My research interests lie in Computer Vision, Machine Learning, and their intersections in Self Driving.

Education

Aug. 2019 - Present

Ph.D. in Computer Science,  Cornell University

Sep. 2015 - Jul. 2019

B.S. in Computer Science,  Shanghai Jiao Tong University

GPA: 93.71/100,   Ranking: 1/142.

Jul. 2018 - Dec. 2018

Visiting Researcher in Prof. Trevor Darrell’s group,  Berkeley Artificial Intelligence Research

Publications

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery

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

NeurIPS 2023 [paper] [code]

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

NeurIPS 2023 [paper] [code]

Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning

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

UAI 2023 [paper] [code]

Learning Iterative Neural Optimizers for Image Steganography

Xiangyu Chen*, Varsha Kishore*, Kilian Q. Weinberger

ICLR 2023 [paper] [code]

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions

Carlos Andres Diaz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Z Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell

CVPR 2022 [paper] [website]

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

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

ICLR 2022 [paper] [code]

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 Campbell, Kilian Q. Weinberger

ICLR 2022 [paper] [code]

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

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

ICML 2021 [paper] [code]

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

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

CVPR 2020 [paper] [code]

Transferable Active Grasping and Real Embodied Dataset

Xiangyu Chen*, Zelin Ye*, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu

ICRA 2020 [paper]

splash

TendencyRL: Multi-stage discriminative hints for efficient goal-oriented reverse curriculum learning

Chen Wang*, Junfeng Ding*, Xiangyu Chen, Zelin Ye, Jialu Wang, Ziruo Cai, Shixiang Gu, Cewu Lu

IROS 2019 [paper]

splash

Semantic Predictive Control for Interpretable and Efficient Policy Learning

Xinlei Pan*, Xiangyu Chen*, Qizhi Cai, John Canny, Fisher Yu

ICRA 2019 [paper] [code]

Selected Projects

PyTORCS for Autonomous Driving Research

Implemented semantic segmentation for TORCS (The Open Racing Car Simulator) and constructed a Python interface as an OpenAI Gym environment for deep reinforcement learning and autonomous driving research.

Honors & Awards

Outstanding Winner & Vilfredo Pareto Award,
Interdisciplinary Contest In Modeling
2018
National Scholarship (Top 0.2% Nationwide)
2016, 2017, 2018

Teaching

Graduate Teaching Assistant

CS2110: OOP and Data Structures

Aug 2019 - May 2020 | Cornell University

Undergraduate Teaching Assistant

CS358: Data Structure

Sep - Dec 2016 | Shanghai Jiao Tong University

Services

  • Reviewer of ICRA'19, RSS'19, CVPR'19 WAD, ICRA'20, RSS'20, CVPR'22