Guangtao Zheng

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Guangtao Zheng

About Me

I am a PhD candidate in Computer Science at University of Virginia. My advisor is Prof. Aidong Zhang.

I am interested in Machine Learning with applications in Computer Vision, Natural Language Processing, and Bioinformatics. Specifically, my research focuses on (1) improving learning efficiency with a few samples, and (2) developing reliable models that are robust to spurious and superficial patterns, with techniques including model interpretations, few-shot learning, large vision and language models, and self-supervised learning.

Address: 85 Engineer’s Way, Charlottesville, VA 22903
Email: gz5hp@virginia.edu

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Publications

  1. Guangtao Zheng, Wenqian Ye, and Aidong Zhang. Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation, The 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024.

  2. Guangtao Zheng, Mengdi Huai, and Aidong Zhang. AdvST: Revisiting Data Augmentations for Single Domain Generalization, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. [paper] [code]

  3. Erfaneh Gharavi, Nathan J LeRoy, Guangtao Zheng, Aidong Zhang, Donald E Brown, and Nathan C Sheffield. Joint Representation Learning for Retrieval and Annotation of Genomic Interval Sets, Bioengineering, 2024. [paper]

  4. Guangtao Zheng, Wenqian Ye, and Aidong Zhang. Spuriousness-Aware Meta-Learning for Learning Robust Classifiers, Under Review, 2024.

  5. Guangtao Zheng, Wenqian Ye, and Aidong Zhang. Benchmarking Spurious Bias in Few-Shot Image Classifiers, Under Review, 2024.

  6. Wenqian Ye, Guangtao Zheng, Xu Cao, Yunsheng Ma, Xia Hu, Aidong Zhang, Spurious Correlations in Machine Learning: A Survey, Preprint in Progress, 2024, arXiv preprint arXiv:2402.12715.[paper]

  7. Guangtao Zheng, Qiuling Suo, Mengdi Huai, and Aidong Zhang. Learning to Learn Task Transformations for Improved Few-Shot Classification, SIAM International Conference on Data Mining (SDM), 2023. [paper] [code]

  8. Guangtao Zheng, Julia Rymuza, Erfaneh Gharavi, Nathan J LeRoy, Aidong Zhang, and Nathan C Sheffield. Methods for Evaluating Unsupervised Vector Representations of Genomic Regions, bioRxiv, 2023. [paper]

  9. Julia Rymuza, Yuchen Sun, Guangtao Zheng, Nathan J LeRoy, Maria Murach, Neil Phan, Aidong Zhang, and Nathan C Sheffield. Methods for Constructing and Evaluating Consensus Genomic Interval Sets, bioRxiv, 2023. [paper]

  10. Nathan J LeRoy, Jason P Smith, Guangtao Zheng, Julia Rymuza, Erfaneh Gharavi, Donald E Brown, Aidong Zhang, and Nathan C Sheffield. Fast Clustering and Cell-Type Annotation of scATAC Data Using Pre-trained Embeddings, bioRxiv, 2023. [paper]

  11. Guangtao Zheng and Aidong Zhang. Knowledge-Guided Semantics Adjustment for Improved Few-Shot Classification, IEEE International Conference on Data Mining (ICDM), 2022. [paper][code]

  12. Erfaneh Gharavi, Aaron Gu, Guangtao Zheng, Jason P Smith, Hyun Jae Cho, Aidong Zhang, Donald E Brown, and Nathan C Sheffield. Embeddings of Genomic Region Sets Capture Rich Biological Associations in Lower Dimensions, Bioinformatics, volume 37, issue 23, December 2021, pages 4299–4306. [paper]

  13. Guangtao Zheng and Aidong Zhang. Few-Shot Class-Incremental Learning with Meta-Learned Class Structures, IEEE International Conference on Data Mining (ICDM) Workshop, 2021, pages 421-430. [paper]

  14. Hanjie Chen, Guangtao Zheng, and Yangfeng Ji. Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020, pages 5578–5593. [paper][code]

More

  • Guangtao Zheng and Ali Tajer. Learning the Wireless Interference Graph via Local Probes. IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020. [paper]

  • Guangtao Zheng, Chen Gong, and Zhengyuan Xu. Constrained Partial Group Decoding with Max-min Fairness for Multi-color Multi-user Visible Light Communication. IEEE Transactions on Communications, volume 67, number 12, December 2019, pages 8573-8584. [paper]

  • Guangtao Zheng and Ming Jiang. Multi-dimensional Space–time Shift Keying for Wireless Communications. IEEE Access, volume 7, 2019, pages 135801-135811. [Impact factor: 3.476] [paper]

  • Guangtao Zheng, Chen Gong, and Zhengyuan Xu. Multi-layer Coding and Map-assisted Partial Group Decoding for Multi-color Multi-user VLC. IEEE International Conference on Communications (ICC), 2019, pages 1-6. [paper]

  • Guangtao Zheng, Qian Gao, Chen Gong, and Zhengyuan Xu. Achievable Rate and Optimal Signaling for an Optical Wireless Decode-and-forward Relaying Channel. IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016, pages 16-19. [paper]

  • Guangtao Zheng and Ming Jiang, Three-dimensional Space-time Shift Keying with Coordinate Combination and Joint Optimisation. In IEEE/CIC International Conference on Communications in China (ICCC), 2015, pages 1-5. [paper]