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
Automatic differentiable nonequilibrium Green’s function formalism: An end-to-end differentiable quantum transport simulator
Zhou, Yingzhanghao, Xiang Chen, Peng Zhang, Jun Wang, Lei Wang, and Hong Guo. "Automatic differentiable nonequilibrium Green's function formalism: An end-to-end differentiable quantum transport simulator." Physical Review B 108, 195143 (2023).
Learning local equivariant representations for quantum operators
Zhouyin, Zhanghao, Zixi Gan, MingKang Liu, Shishir Kumar Pandey, Linfeng Zhang, and Qiangqiang Gu. "Learning local equivariant representations for quantum operators." International Conference on Learning Representations (ICLR), 2025. arXiv:2407.06053.
Deep learning tight-binding approach for large-scale electronic simulations at finite temperatures with $ab$ $initio$ accuracy
Gu, Qiangqiang, Zhanghao Zhouyin, Shishir Kumar Pandey, Peng Zhang, Linfeng Zhang, and Weinan E. "Deep learning tight-binding approach for large-scale electronic simulations at finite temperatures with ab initio accuracy." Nature Communications 15, 6772 (2024).
Neural-Quantum-States Impurity Solver for Quantum Embedding Problems
Zhou, Yinzhanghao, Tsung-Han Lee, Ao Chen, Nicola Lanatà, and Hong Guo. "Neural-Quantum-States Impurity Solver for Quantum Embedding Problems." Physical Review B (2026). arXiv:2509.12431.