Publication

1. H. Guan*, X. Zhao, C. Zheng, A. Yang, S. Pei, “Data-Free Federated Knowledge Exchange”. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA June 11-15, 2025. (Submitted)
2. H. Guan*, X. Zhao, Z. Wang, Z. Li, J. Kempe, “Discovering Galaxy Features via Dataset Distillation”. NeurIPS Workshop on Machine Learning and the Physical Sciences (NeurIPS), New Orleans, LA, USA December 10-16, 2023. https://doi.org/10.48550/arXiv.2311.17967 [PDF] [Code]
3. H. Guan, D. Si*, “DeepTracer-Denoising: Deep Learning for 3D Electron Density Map Denoising”. The IEEE International Conference on Bioinformatics and Biomedicine (IEEE-BIBM), Las Vegas, NV, USA December 6-9, 2022. https://doi.org/10.1109/BIBM55620.2022.9994879 [Free PDF] [Video] [Website]
4. D. Si*, J. Chen, A. Nakamura, L. Chang, H. Guan, “Smart De Novo Macromolecular Structure Modeling from Cryo-EM Maps”, Journal of Molecular Biology, 2023, 167967, ISSN 0022-2836, https://doi.org/10.1016/j.jmb.2023.167967. (Impact Factor 6.151)
5. D. Si*, A. Nakamura, R. Tang, H. Guan, J. Hou, A. Firozi, R. Cao, K. Hippe, M. Zhao, “Artificial intelligence advances for de novo molecular structure modeling in cryo‐electron microscopy”. Wiley Interdisciplinary Reviews: Computational Molecular Science, 2021. https://doi.org/10.1002/wcms.1542 (Impact Factor 16.778)