Hi, I'm Yuzhi Guo.

Yuzhi Guo is a PhD student in the SMILE lab in the University of Texas at Arlington. He graduated from the Stevens Institute of Technology in 2018 with a Master's Degree in Computer Science. He is passionate at applying and designing machine learning, computer vision, and deep learning techniques to solve practical problems. Besides, he likes reading, cooking, and playing basketball.
Research Interest: Deep Learning, Machine Learning, Bioinformatics, Medical Image Processing

Publications

Yang, Jinyu, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, and Junzhou Huang. "Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation." arXiv preprint arXiv:2105.10843 (2021).

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, and Junzhou Huang. "Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning." Journal of Computational Biology 28, no. 4 (2021): 346-361.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, and Junzhou Huang. "EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction." Journal of Computational Biology 28, no. 4 (2021): 362-364.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, and Junzhou Huang. "WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction." In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 72-75. IEEE, 2020.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, and Junzhou Huang. "Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction." In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 17-22. IEEE, 2020.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, and Junzhou Huang. "Bagging msa learning: Enhancing low-quality pssm with deep learning for accurate protein structure property prediction." In International Conference on Research in Computational Molecular Biology (RECOMB), pp. 88-103. Springer, Cham, 2020.

Ma, Hehuan, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun, and Junzhou Huang. "Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning." In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2779-2784. IEEE, 2020.

Wang, Sheng, Yuzhi Guo, Yuhong Wang, Hongmao Sun, and Junzhou Huang. "SMILES-BERT: large scale unsupervised pre-training for molecular property prediction." In Proceedings of the 10th ACM international conference on bioinformatics, computational biology and health informatics (BCB), pp. 429-436. 2019.

Experience

Software Engineer Intern
  • Worked with a demonstration development team on improving the performance of demo software in IBM client center.
  • Worked with a Watson solution team on making an Intelligent Traffic Accident Identification and Punishment System solution plan.
  • Tools: Python, Raspberry Pi
July 2017 - Aug 2017 | Beijing, China

Projects

Coming Soon...

Education

Aug 2018 - now

University of Texas Arlington

TX, USA

Degree: Pursing Ph.D. in Computer Science
CGPA: 4.0/4.0

    Relevant Research:

    • Deep Learning
    • ML-based Drug Discovery
    • Biomedical Image Processing

Sep 2016 - May 2018

Stevens Institute of Technology

NJ, USA

Degree: Master of Science in Computer Science
CGPA: 3.7/4.0

    Relevant Courseworks:

    • Data Mining
    • Big Data
    • Computer Organization & Programing
    • Database Management Systems

Sep 2012 - June 2016

Beijing University of Technology

Beijing, China

Degree: Bachelor of Information and Computing Science

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