Siyang Wu

I am a Ph.D. student in Computer Science at Princeton University, advised by Prof. Jia Deng. My research interest lies in the intersection of computer vision and robotics.

I received my bachelor degree in 2023 from Yao Class, IIIS, Tsinghua University. During my undergrad, I was very fortunate to be advised by Prof. Pulkit Agrawal and Prof. Chongjie Zhang.

News

	Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations Jack Nugent, Siyang Wu, Zeyu Ma, Beining Han, Meenal Parakh, Abhishek Joshi, Lingjie Mei, Alexander Raistrick, Xinyuan Li, Jia Deng Neural Information Processing Systems (NeurIPS), 2025 arxiv / code
	Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal Science Robotics, 2023 paper / arxiv / project page / code / bibtex
	Automatic Truss Design with Reinforcement Learning Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu International Joint Conference on Artificial Intelligence (IJCAI), 2023 arxiv
	Model and Method: Training-Time Attack for Cooperative Multi-Agent Reinforcement Learning Siyang Wu, Tonghan Wang, Xiaoran Wu, Jingfeng Zhang, Yujing Hu, Changjie Fan, Chongjie Zhang Neural Information Processing Systems (NeurIPS) Workshop on Deep Reinforcement Learning, 2022 paper