Hehuan Ma

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Ph.D. student at University of Texas at Arlington

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About Me

I am a Ph.D. student in Computer Science Department at University of Texas at Arlington, USA. My major research interests are drug discovery and graph classification, and my current studies focus on utilizing graph neural network to address molecular property prediction problem. My supervisor is Dr. Junzhou Huang.

I received my master degree of Computer Science at Louisiana Tech University in USA, and bachlor degree of Communication Engineering at Huaqiao University in China.

Publication

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).

Guo, Yuzhi, 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.

Guo, Yuzhi, 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.

Ma, Hehuan, Weizhi An, Yuhong Wang, Hongmao Sun, Ruili Huang, and Junzhou Huang. “Deep Graph Learning with Property Augmentation for Predicting Drug-Induced Liver Injury.” Chemical Research in Toxicology 34, no. 2 (2020): 495-506.

Guo, Yuzhi, 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.

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.

Guo, Yuzhi, 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.

Yang, Jinyu, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, and Junzhou Huang. “Hierarchical Graph Capsule Network.” arXiv preprint arXiv:2012.08734 (2020).

Ma, Hehuan, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, and Junzhou Huang. “Multi-view graph neural networks for molecular property prediction.” arXiv preprint arXiv:2005.13607 (2020).

Guo, Yuzhi, 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, pp. 88-103. Springer, Cham, 2020.

Services

Reviewer, NeurIPS-AI4Science

Teaching Assistant

CSE 3320 Operating System

CSE 2312 Computer Organization and Assembly Language

CSE 5360 Artificial Intelligence

Contact

Email: hehuan.ma at mavs.uta.edu