
Hi!
I’m Juexiao Zhou, Joshua Chou, 周觉晓
I am a PhD student @King Abdullah University of Science and Technology (KAUST) working with Prof. Xin Gao.
My research interests are:
- Intelligent Healthcare: develop machine learning (ML) / deep learning (DL) techniques for healthcare, including disease detection, risk prediction, etc.
- Bioinformatics: develop new methods for bioinformatics tasks, including gene regulation understanding, system biology, etc.
- Privacy and Security
- Artificial General Intelligence (AGI)
- Large Language Model (LLM)
**Contact: ** juexiao.zhou@kaust.edu.sa
Email: juexiao.zhou@kaust.edu.sa, juexiao.zhou@gmail.com
Wechat: JoshuaChou666
Office: Building 3, Level 4, Sea Side, 4216-WS23, KAUST
Affiliation:
Structural and Functional Bioinformatics (SFB) Group
Computational Bioscience Research Center (CBRC)
King Abdullah University of Science and Technology (KAUST)
CV (last update: May 2023) | Github | Linkedln | ORCID | Google Scholar
Education
- PhD Student in Computer Science, Supervised by Prof. Xin Gao, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology, Dec 2021 - Present
- Master of Science, M.S. in Computer Science, Supervised by Prof. Xin Gao, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology, Aug 2020 - Dec 2021
- Visiting Student, Supervised by Prof. Xin Gao, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology, Sep 2019 - Feb 2020
- Bachelor of Science, B.S. (Honored) in Bioinformatics, Supervised by Prof. Wei Chen, Southern University of Science and Technology, Sep 2016 - Jun 2020
Research and Publications
Selected Papers (# equal contribution, * corresponding author)
-
Annotating TSSs in Multiple Cell Types Based on DNA Sequences and RNA-seq Data via DeeReCT-TSS.
Juexiao Zhou#, Bin Zhang#, Haoyang Li, Longxi Zhou, Zhongxiao Li, Yongkang Long, Wenkai Han, Mengran Wang, Huanhuan Cui, Wei Chen, Xin Gao*.
Genomics, Proteomics & Bioinformatics (IF: 6.615)
DOI: 10.1016/j.gpb.2022.11.010
Access: online, pdf -
Audit to Forget: A Unified Method to Revoke Patients’ Private Data in Intelligent Healthcare.
Juexiao Zhou#, Haoyang Li#, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou, Xin Gao*
under review.
Access: arXiv -
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI.
Juexiao Zhou#, Longxi Zhou#, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao*
under review.
Access: medRxiv -
PPML-Omics: a Privacy-Preserving federated Machine Learning system protects patients’ privacy from omic data.
Juexiao Zhou#, Siyuan Chen#, Yulian Wu#, Haoyang Li, Bin Zhang, Longxi Zhou, Yan Hu, Zihang Xiang, Zhongxiao Li, Ningning Chen, Wenkai Han, Di Wang and Xin Gao*.
under review.
Access: bioRxiv -
SkinGPT: A Dermatology Diagnostic System with Vision Large Language Model.
Juexiao Zhou , Xin Gao*
under review.
Access: arXiv -
A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics.
Haoyang Li#, Juexiao Zhou#, Zhongxiao Li, Siyuan Chen, Xingyu Liao, Bin Zhang, Ruochi Zhang, Yu Wang, Shiwei Sun, Xin Gao*
Nature Communications (IF: 14.919)
DOI: 10.1038/s41467-023-37168-7
Access: online, pdf -
An Interpretable Deep Learning Workflow for Discovering Sub-Visual Abnormalities in CT Scans of COVID-19 Inpatients and Survivors.
Longxi Zhou#, Xianglin Meng#, Yuxin Huang#, Kai Kang#, Juexiao Zhou, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang, Lawrence Carin, Xigang Xiao, Kaijiang Yu, Zhaowen Qiu, Xin Gao*.
Nature machine intelligence (IF: 25.9)
DOI: 10.1038/s42256-022-00483-7
Access: online, pdf -
Accurate transcriptome-wide identification and quantification of alternative polyadenylation from RNA-seq data with APAIQ.
Yongkang Long#, Bin Zhang#, Shuye Tian, Jiajia Chan, Juexiao Zhou, Zhongxiao Li, Yisheng Li, Zheng An, Xingyu Liao, Yu Wang, Shiwei Sun, Ying Xu, Yvonne Tay, Wei Chen*, Xin Gao*
Genome Research (IF: 9.438)
DOI: 10.1101/gr.277177.122
Access: online, pdf -
Predicting the antigenic evolution of SARS-COV-2 with deep learning.
Wenkai Han#, NingNing Chen#, Xinzhou Xu#, Adil Salhi, Juexiao Zhou, Zhongxiao Li, Huawen Zhong, Elva Gao, Ruochi Zhang, Yu Wang, Shiwei Sun*, Peter Cheung*, Xin Gao*
Nature Communications (IF: 14.919)
In press.
For complete publication list @here
Working Experience
- Student Ambassador, CEMSE, King Abdullah University of Science and Technology, Dec 2021 - Present
Teaching Experience
-
CS220, Data Analytics, Fall 2022/2023, KAUST
- Cooperated with Prof. Xin Gao
- Position: Teaching Assistant
-
BioE 201/230 Foundations of Bioengineering, Fall 2022/2023, KAUST
- Cooperated with Prof. Xin Gao
- Position: Teaching Labs, Building 9 Room 4225
- Contents:
- Lab 1. Genome data analysis, 2022.08.30, colab
- Python basics
- D/RNA sequence analysis
- Biopython
- BLAST
- Reference genome
- Lab 2. Protein sequence analysis, 2022.09.06, colab
- Protein sequence analysis
- MSA
- PDB
- PyMOL
- Secondary structure prediction
- Lab 3. Protein structure and function, 2022.09.13, colab
- Ab initio with PyRosetta
- AlphaFold2
- NucleicNet
- Docking with Smina
- Pfam annotation with deep learning
- Lab 1. Genome data analysis, 2022.08.30, colab
-
CS398 Graduate Seminar, Spring 2022, KAUST
- Cooperated with Prof. Dominik Michels
- Position: Teaching Assistant
Honours
King Abdullah University of Science and Technology
KAUST, 2021-Present
PhD, Computer Science
GPA: 4.00 / 4.00
- KAUST AII’s NeurIPS travel grant, 2022
- CEMSE Dean’s List Award, 2022
- Excellent Research Award, CEMSE, 2021
King Abdullah University of Science and Technology
KAUST, 2020-2021
Master of Science, Computer Science
GPA: 3.95 / 4.00
- Student ambassador, CEMSE, 2021
- Yearly best student award, CEMSE, 2021
- Full scholarship for MS/PhD study, 2020
Southern University of Science and Technology
SUSTech, 2016-2020
Bachelor of Science, Bioinformatics, Biology
GPA: 3.92 / 4.00 (Top 0.1%), Core GPA: 3.94/4.00
- Outstanding graduate of SUSTech, 2020.
- Cum Laude Graduate of the Department of Biology (Top 1/10), 2020.
- The Guinness world record for “the most vows received by a single civilized act activity”, 2019
- Candidate for 2019 National Scholarship, 2019
- Summer social practice excellent experience Award, 2018
- Excellent Student, The First Prize Scholarship, 2018
- Outstanding volunteer for the 12th CBIS Biennial Meeting, Shenzhen, China, 2018
- Candidate for 2018 National Scholarship, 2018
- Outstanding Volunteer of the 3rd Shenzhen International Life Science & Health Industry Summit (2016) Excellent Student, The First Prize Scholarship, 2017
- Dean scholarship, The First Prize Scholarship, 2017
- Excellent Student Cadre, 2017
- Outstanding Volunteer of 2017 Shenzhen International Precision Medicine Summit, 2017
- Alma mater practice excellent team, 2017
- National Literary Creation Award, 2016
- Excellent Student, The Second Prize Scholarship, 2016
Memberships
- Chinese Association for Artificial Intelligence (CAAI) Member
- The international Asia-Pacific Bioinformatics Network (APBioNET) Member
Invited Talks
-
[2023/03/02] Audit to Forget: A Unified Method to Revoke Patients’ Private Data in Intelligent Healthcare.
- Poster. CBRC session, KAUST Research Open Week, Saudi Arabia
-
[2023/02/02] Audit to Forget: A Unified Method to Revoke Patients’ Private Data in Intelligent Healthcare.
- Oral & Poster. Spotlight, Rising Stars in AI Symposium 2023 at KAUST, Saudi Arabia
-
[2022/11/10] Privacy in Bioinformatics and Intelligent Healthcare.
- Poster. Smart-Health Student Research Symposium, KAUST, Saudi Arabia
-
[2022/03/29] PPML-Omics: a Privacy-Preserving federated Machine Learning system protects patients’ privacy from omic data
- Oral. CBRC Dual Seminar, King Abdullah University of Science and Technology, Saudi Arabia
-
[2022/03/09] PPML-Omics: a Privacy-Preserving federated Machine Learning system protects patients’ privacy from omic data
- Oral. BDAI重点实验室研究生沙龙第19期, 中国人民大学高瓴人工智能学院,中国北京
Academic Services
Reviewer
Journal/Conference | # Paper Reviewed |
---|---|
Genome Biology | 1 |
Genome Research | 2 |
Heliyon | 1 |
IJCAI-ECAI 2022 | 1 |
ICONIP2020 | 1 |
ICMLA2021 | 1 |
Journal of Bioinformatics and Computational Biology | 1 |
MICCAI2020 | 1 |
Multimedia Systems | 1 |
SIGKDD2022 | 2 |
Conference Administrator
- The 21st International Conference on Bioinformatics (InCoB2022), Administrator, certificate