Guangtao Zheng
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 🎉 |
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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! 🎉 |