Guangtao Zheng

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85 Engineer's Way

Charlottesville, VA 22903

I am a PhD candidate in Computer Science at University of Virginia, advised by Prof. Aidong Zhang.

My research centers on two primary objectives:

  • Enhancing learning efficiency with limited data: Developing methods to improve model performance in low-data environments.
  • Building robust models resistant to spurious patterns: Designing models that are robust to superficial or misleading correlations.

Application areas include:

  • Designing machine learning models to learn high-quality genomic representations.
  • Leveraging Generative AI for domain-specific information retrieval and knowledge discovery.

📣 I am actively seeking internship, full-time, or postdoctoral positions and would be happy to discuss any potential opportunities.

News

Oct 2024 One paper on benchmarking spurious biases in Multimodal LLMs is accepted @NeurIPS 2024’s Workshop on Responsibly Building the Next Generation of Multimodal Foundational Models 🎉
Sep 2024 One paper on evaluating unsupervised vector representations of genomic regions is published @NAR Genomics and Bioinformatics 🎉
Jul 2024 One paper on the method for benchmarking spurious bias in few-shot classifiers is accepted @ ECCV 2024! 🎉
May 2024 One paper on mitigating spurious bias using VLMs and meta-learning is accepted @ KDD 2024! 🎉
Apr 2024 One paper on mitigating spurious bias using VLMs is accepted @ IJCAI 2024! 🎉
Mar 2024 Passed my PhD Dissertation Proposal 😀
Dec 2023 One paper on single domain generalization with semantic augmentations is accepted @ AAAI 2024! 🎉