Currently I am a Computational Biology researcher at Tsinghua University, cooperate with Prof. Qiangfeng Cliff Zhang. I am broadly interested in deep learning, with data-driven algorithm design and applications in real world (2D/3D computer vision and graphics) and micro world (Electron Cryo-Microscopy Density map based Molecular Structure Determination, Single Cell Clustering and RNA Structure Understanding). My recent research focuses on designing algorithms and deep learning models to gain biological insights from advances in the large data sets.
Prior to Ph.D. student period, I was a visiting scholar at the Chinese University of Hong Kong, collaborating with awesome folks in the lab of Xiaogang Wang. I also works closely with Zhe Wang, Jianping Shi and Hongsheng Li, focusing on 3D Object Detection and Molecular structure model building.
I received my Ph.D. degree in School of Life Sciences of Tsinghua University in 2021, supervised by Prof. Qiangfeng Cliff Zhang. Before I came to Tsinghua University, I received a master and bachelor degree in Computer Science in Tianjin Polytechnic University in 2016 and 2013, respectively.
Feel free to say hi: xukui at tsinghua.edu.cn
[Jul 2021] CryoNet (https://cryonet.ai) is online!
[Jan 2021] One paper accepted to Science. Proud to apply our improved A2-Net to identify new proteins in Spliceosome, congratulations to Rui Bai and Ruixue Wan.
[Jan 2021] Our PrismNet method paper accepted to Cell Research, congratulations to all the team members.
[Nov 2020] Our PrismNet Prediction on SARS-CoV-2 paper accepted to Cell, congratulations to Lei Sun, Panpan and Wenze.
[Oct 2020] One paper accepted to Nucleic Acids Research, congratulations to Panpan and Xiaolin.
[Jul 2020] One paper accepted to Bioinformatics.
[Jul 2020] Proud to apply our PrismNet to predict host cell target proteins bind to SARS-CoV-2 RNA! Paper out on BioRxiv.
[May 2020] PrismNet method paper out on BioRxiv: Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure, code are available at Github.
[Jan 2020] One paper accepted to ICRA 2020.
[Oct 2019] Paper out on Nature Communications: SCALE method for single-cell ATAC-seq analysis via latent feature extraction, code are available at SCALE.
[Mar 2019] Paper out on BioRxiv: VRmol: an Integrative Cloud-Based Virtual Reality System to Explore Macromolecular Structure, code are available at VRmol.
[Jan 2019] Presented our work A2-Net at AAAI 2019, Hawaii.