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
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Aug. 2019 - Present
Ph.D. in Computer Science, Cornell University
Sep. 2015 - Jul. 2019
B.S. in Computer Science, Shanghai Jiao Tong University
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Jul. 2018 - Dec. 2018
Visiting Researcher in Prof. Trevor Darrell’s group, Berkeley Artificial Intelligence Research
Publications
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DiffuBox: Refining 3D Object Detection with Point Diffusion
Xiangyu Chen*, Zhenzhen Liu*, Katie Z Luo*, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark Campbell, Bharath Hariharan, Kilian Q. Weinberger
[preprint]
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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
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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
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Transferable Active Grasping and Real Embodied Dataset
Xiangyu Chen*, Zelin Ye*, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu
ICRA 2020 [paper]
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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]
Selected Projects
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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
Interdisciplinary Contest In Modeling
Teaching
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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