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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. Email / CV / Google Scholar / Github / Twitter |
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News
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Publications |
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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 A real-time controller that dynamically reorients complex and novel objects by any amount using a single depth camera. |
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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 A two-stage framework to efficiently generate both lightweight and valid truss layouts. |
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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 Advances in Neural Information Processing Systems (NeurIPS) Workshop on Deep Reinforcement Learning, 2022 paper Propose training-time adversarial attack models for cooperative multi-agent reinforcement learning (MARL), and examine cooperative MARL algorithm robustness under several attack methods. |
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