Yuzhi Guo | Researcher

Hi, I'm Yuzhi Guo.

Dr. Yuzhi Guo is a Post-Doctoral Associate in the SMILE lab in the University of Texas at Arlington. He received the B.E. degree from Beijing University of Technology, Beijing, China, the M.S. degree from the Stevens Institute of Technology, New Jersey, and the Ph.D. degree in Computer Science at the University of Texas at Arlington. 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

Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang and Junzhou Huang, "GTE: A Graph Learning Framework for Prediction of T-Cell Receptors and Epitopes Binding Specificity", Briefings in Bioinformatics, 25, no. 4, May, 2024

Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li and Junzhou Huang, "Advancing DNA Language Models through Motif-Oriented Pre-training with MoDNA", Biomedinformatics, Volume 4, Number 2, pp.1556-1571, June 2024.

Hehuan Ma, Feng Jiang, Yuzhi Guo and Junzhou Huang, "Towards Robust Self-training for Molecular Biology Prediction Tasks, Journal of Computational Biology, Volume 31, Issue 3, pp. 213-228, March 2024.

Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma and Junzhou Huang, "PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning", In Proc. of the 27th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI’24, Marrakesh, Morocco, October 2024.

Na, Saiyang, Yuzhi Guo, Feng Jiang, Hehuan Ma, and Junzhou Huang. "Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation." arXiv preprint arXiv:2401.13220 (2024).

Wenliang Zhong, Hehuan Ma, Yu Rong, Yatao Bian, Long-Kai Huang, Yuzhi Guo, Peilin Zhao and Junzhou Huang, "CoSSL: A Context-based Semi-Supervised Framework for Molecular Property Prediction", ICML Workshop on Computational Biology, July 2023.

An, Weizhi, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, and Junzhou Huang. "MoDNA: motif-oriented pre-training for DNA language model." In Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, pp. 1-5. 2022.

Ma, Hehuan, Feng Jiang, Yu Rong, Yuzhi Guo, and Junzhou Huang. "Robust self-training strategy for various molecular biology prediction tasks." In Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, pp. 1-5. 2022.

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, and Junzhou Huang. 2022. "Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction" Biomolecules 12, no. 6: 774. https://doi.org/10.3390/biom12060774

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma and Junzhou Huang, "Self-supervised Pretraining for Protein Embeddings Using Tertiary Structures", In Proc. of the Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI'22, Vancouver, Canada, February 2022.

Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, and Junzhou Huang, "Gradient-Norm Based Attentive Loss for Molecular Property Prediction”, In Proc. of IEEE International Conference on Bioinformatics and Biomedicine, BIBM’21, December 2021.

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", In Proc. of International Conference on Computer Vision, ICCV'21, October 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 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.

Google scholar

Experience

IBM China

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