Guangtao Zheng

Mountain View, CA 94040
I am an AI Research Scientist at Accenture. I obtained my PhD degree in Computer Science at University of Virginia advised by Prof. Aidong Zhang. Before joining UVA, I earned my Master’s degree from the University of Science and Technology of China and my Bachelor’s degree from Sun Yat-sen University.
My research is on Artificial Intelligence and Machine Learning. My main research theme is on AI alignment and safety from the perspective of detecting and mitigating spurious correlations, with topics covering:
- Shortcut learning in image/text classification
- Superficial learning in multimodal models
- Reward hacking in reinforcement learning
- Benchmarking superficial learning in AI models
- Robust reasoning and planning in agentic systems
In addition to solving fundamental machine learning problems, I am also passionate about application-driven machine learning, leveraging techniques such as self-supervised learning and generative modeling to accelerate knowledge discovery in genomics.
News
Aug 2025 | Our KDD@2025 paper wins the Best Paper Award (Research Track)! |
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Jun 2025 | Join Accenture as an Advanced AI Research Scientist |
Jun 2025 | Pass my PhD Dissertation Defense |
May 2025 | One paper is accepted @ KDD 2025 |
May 2025 | One paper is accepted @ ICML 2025 |
Apr 2025 | One paper is accepted @ IJCAI 2025 |
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 is published @NAR Genomics and Bioinformatics |
Jul 2024 | One paper is accepted @ ECCV 2024 |
May 2024 | One paper is accepted @ KDD 2024 |
Apr 2024 | One paper is accepted @ IJCAI 2024 |
Mar 2024 | Pass my PhD Dissertation Proposal |
Dec 2023 | One paper is accepted @ AAAI 2024 |