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.

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