Chengshuai Zhao

I am a first year computer science Ph.D. student at ASU, currently working in the Data Mining and Machine Leraning (DMML) Lab advised by Prof. Huan Liu.

Before that, I obtained a Bachelor's degree from Huazhong Agricultural University. And I had a wonderful time as an undergraduate researcher focusing on network analysis and graph representation learning in the BioMedical Big Data Mining (BBDM) Lab supervised by Prof. Wen Zhang. I am also interested in transfer learning and more topics in computer science.


Email  /  Github  /  Google Scholar  /  Blog  /  CV

Research Interests
  • Graph Representation Learning / Network Analysis

  • Self-Supervised Learning

  • Transfer Learning / Domain Adaptation
    • Publications & Copyrights
    † Equal Contribution

  • J. Xia†, C. Zhao†, B. Hu, Z. Gao, C. Tan, Y. Liu, S. Li, and S. Z. Li,"Mole-bert: Rethinking pre-training graph neural networks for molecules," International Conference on Learning Representations, 2023.

  • C. Zhao, H. Wang, W. Qi, and S. Liu,"Toward drug-mirna resistance association prediction by positional encoding graph neural network and multi-channel neural network," Methods, vol. 207, pp. 81-89, 2022.

  • X. Xu, S. Liu, Z. Yang, X. Zhao, Y. Deng, G. Zhang, J. Pang, C. Zhao, and W. Zhang,"A systematic review of computational methods for predicting long noncoding rnas," Briefings in Functional Genomics, vol. 20, no. 3, pp. 162-173, 2021.

  • C. Zhao, S. Liu, F. Huang, S. Liu, and W. Zhang, "Csgnn: Contrastive self-supervised graph neural network for molecular interaction prediction," in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Online, 2021, pp. 19-27.

  • C. Zhao, Y. Zhou, J. Cheng, and S. Liu, Drug interaction data collection and analysis system, V1.0. Software Copyright, National Copyright Administration, P.R.C., 2021, 2021SR1429280.

  • C. Zhao, Y. Qiu, S. Zhou, S. Liu, W. Zhang, and Y. Niu, "Graph embedding ensemble methods based on the heterogeneous network for lncrna-mirna interaction prediction," BMC genomics, vol. 21, no. 13, pp. 1-12, 2020
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    Honors & Awards
  • Honorable Mention (2021.4), 2021 Mathematical Contest in Modeling
    Awarded by: the Consortium for Mathematics and Its Application (COMAP)

  • Bronze Prize (2020.12), Mechanisms of Action (MoA) Prediction
    Awarded by: Kaggle

  • Third Prize (2020.7), 13rd Chinese College Students Computer Design Contest
    Awarded by: Chinese College Students Computer Design Contest Committee

  • Advanced Individual (2019.10): 2018 - 2019 Around-Lake Marathon
    Awarded by: Huazhong Agricultural University
    • Academic Performance
  • GPA: 3.97/4.0, 93.4/100

    • Related A+/A courses
    Discrete Mathematics. (A+)
    Statistics for Big Data. (A+)
    Machine Learning. (A+)
    High Performance Computing. (A+)
    Introduction to Artificial Intelligence. (A+)
    ...
    Recent News
  • [7/2022] I am accepted as a research intern of Center for Artificial Intelligence Research and Innovation (CAIRI) at Westlake University.

  • [12/2021] I am accepted as a 2022 Mitacs Globalink research intern.

  • [04/2021] One paper is accepted by IJCAI 2021.


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    Mar. 06th - Apr. 06th