Understanding Neural Networks with Logarithm Determinant Entropy Estimator
Zhouyin, Zhanghao, and Ding Liu. "Understanding neural networks with logarithm determinant entropy estimator." arXiv preprint arXiv:2105.03705 (2021).
CV
Education
- M.E. in Computer Science, Tianjin University, Feb 2024 (expected)
- B.S. in Computer Science, Tiangong University, Jun 2021
Experiences
- AI for Science Institute - May 2022 - Till date
- Machine Learning Researcher (intern)
- Tianjin University - Jun 2021 - May 2022
- Postgraduate Research
- Beijing Academy of Artificial Intelligence
- Editor (intern)
Softwares
DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.
AD-NEGF: A differentiable Quantum Transport Codes using Non-equilibrium Green’s Function method.
Activities
- Chinese Physical Society (CPS) Fall Meeting 2023 (Oral Report)
- AI for Science Summit 2023 (Poster)
- Machine Learning Potentials - StAtus and FuturE (MLP-SAFE)
- ZGC Forum 2023
- BAAI Conference 2023
- Conference of Scientific Machine Learning (CSML) 2022
- BAAI Conference 2022
- The 2nd Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN)
- BAAI Conference 2021
- The 17th China Symposium on Machine Learning and Applications (MLA 2019)
Publications
AD-NEGF: an End-to-end Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems
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).
DeePTB: A deep learning-based tight-binding approach with $ab$ $initio$ accuracy
Gu, Qiangqiang, et al. "DeePTB: A deep learning-based tight-binding approach with $ ab $ $ initio $ accuracy." arXiv preprint arXiv:2307.04638 (2023).