Great tour of CPS Fall Meeting in Ning Xia!
Abundant engaging talks and discussions, set against the backdrop of a beautiful and tranquil city. 
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See our post in AI for Science Summit 2023!
Only after putting up the post did I realize that the QR code on it had already expired, prompting me to create a patch for it. LOL. 
Back to Tianjin !
Tianjin has become a second home to me, a serene city where everyone relishes their own pace and finds peace. 
publications
Understanding Neural Networks with Logarithm Determinant Entropy Estimator
Published in arxiv, 2021
We design a metric to estimating information entropy in neural networks.
Recommended citation: Zhouyin, Zhanghao, and Ding Liu. "Understanding neural networks with logarithm determinant entropy estimator." arXiv preprint arXiv:2105.03705 (2021). http://floatingCatty.github.io/files/2105.03705.pdf
AD-NEGF: an End-to-end Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems
Published in arxiv, 2022
We implement a quantum transport simulator based on Non-equilibrium Green’s Function with PyTorch, and customly design the gradient computation.
Recommended citation: Zhou, Yingzhanghao, et al. "AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems." arXiv preprint arXiv:2202.05098 (2022). http://floatingCatty.github.io/files/2202.05098.pdf
DeePTB: A deep learning-based tight-binding approach with $ab$ $initio$ accuracy
Published in arxiv, 2023
A deep learning package for tight-binding approach with $ab$ $initio$ accuracy.
Recommended citation: Gu, Qiangqiang, et al. "DeePTB: A deep learning-based tight-binding approach with $ ab $ $ initio $ accuracy." arXiv preprint arXiv:2307.04638 (2023). http://floatingCatty.github.io/files/2307.04635.pdf