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  1. 30 de ene. de 2022 · Jiaqi. Han. PhD student at Stanford CS. Stanford, CA, 94305. I am currently a first year PhD student at Stanford Computer Science. Previously, I obtained B.S. in Computer Science at Tsinghua University. My core research interest lies in leveraging deep neural networks for modeling complex systems in physics and biochemistry, which is ...

  2. Jiaqi Han. Stanford University. Verified email at stanford.edu - Homepage. Graph Neural Networks Machine Learning. Articles Cited by Public access Co-authors. Title. ... R Chen, Y Rong, S Guo, J Han, F Sun, T Xu, W Huang. arXiv preprint arXiv:2203.07988, 2022. 18: 2022: Learning Physical Dynamics with Subequivariant Graph Neural Networks.

  3. Hi, welcome to Jiaqi Han's GitHub 👋. I am a first-year PhD student of Computer Science at Stanford University. My research interest lies in generative models, graph neural networks, and temporal modeling. Find my recent works and publications on my website! I am open to research collaborations!

  4. Promoting openness in scientific communication and the peer-review process

  5. 8 de mar. de 2023 · Multi-Wavelength-Recognizable Memristive Devices via Surface Plasmon Resonance Effect for Color Visual System. Jiaqi Han, Xuanyu Shan, Ya Lin, Ye Tao, Xiaoning Zhao, Zhongqiang Wang, Haiyang Xu, Yichun Liu. , First published: 08 March 2023. https://doi.org/10.1002/smll.202207928.

  6. Runfa Chen*, Jiaqi Han* , Fuchun Sun, and Wenbing Huang. In Proceedings of the 40th International Conference on Machine Learning, 2023. Oral Presentation [Top 2.3%] Abs PDF Code Website. Learning a shared policy that guides the locomotion of different agents is of core interest in Reinforcement Learning (RL), which leads to the study of ...

  7. He is currently an Associate Professor with the School of Electronic Engineering, Xidian University. His research interests include the design of programmable metasurfaces and their applications on wireless power transfer and computational imaging. Skip to Main Content.