I am a first-year Ph.D. student at Cornell University. 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 Dr. Fisher Yu.
My research interests lie in Computer Vision, Machine Learning, and their intersections in Robotics.
Aug. 2019 - Present
Ph.D. in Computer Science, Cornell University
Sep. 2015 - Jul. 2019
B.S. in Computer Science, Shanghai Jiao Tong University
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]
Transferable Active Grasping and Real Embodied Dataset
Xiangyu Chen*, Zelin Ye*, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu
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
Constructed a large sentiment analysis dataset with 48k labeled reviews and trained a deep neural network that parallelly leverages recurrent and convolutional architectures, which achieves 87.47% prediction accuracy on our dataset.
Honors & Awards
Interdisciplinary Contest In Modeling
Graduate Teaching Assistant
CS2110: OOP and Data Structures
Aug 2019 - Present | Cornell University
Undergraduate Teaching Assistant
CS358: Data Structure
Sep - Dec 2016 | Shanghai Jiao Tong University