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Wuao Liu (刘武傲) I am a Computer Science Ph.D. student working in the Computer Vision Lab at UMass Amherst, advised by Prof. Grant Van Horn. Previously, I received my M.S. and B.Eng. degrees in Robotics from University of Michigan, Ann Arbor and Zhejiang University, respectively. My research leverages computer vision and machine learning for applications in AI4Science. I currently focus on visual and auditory recognition of fine-grained categories, such as wildlife species, to support biodiversity monitoring and conservation efforts. I'm actively looking for PhD internship positions during summer 2026. Please feel free to contact me!
Email: wuaoliu[at]umass[dot]edu |
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Work Experience |
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Honda Research Institute US
Research Scientist Intern May 2025 - Aug 2025 Host: Nirav Savaliya and Goro Yeh |
Selected Publications |
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Masked Autoencoders with Limited Data: Does It Work? A Fine-Grained Bioacoustics Case Study Wuao Liu, Mustafa Chasmai, Subhransu Maji, Grant Van Horn CVPR Workshop, 2026 project page / code / arXiv We conduct a systematic study of MAE pretraining for species classification on iNatSounds, analyzing the impacts of pretraining data scale, domain specificity, data curation, and transfer strategies. |
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Audio Geolocation: A Natural Sounds Benchmark
Mustafa Chasmai, Wuao Liu, Subhransu Maji, Grant Van Horn Under Review, 2026 project page / code / arXiv Using a vision-inspired approach, we tackle the novel challenge of predicting the geographic location of audio recordings by leveraging species sounds and multimodal retrieval techniques. |
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Can Large Language Models Reason About Goal-Oriented Tasks?
Filippos Bellos, Yayuan Li, Wuao Liu, Jason J. Corso ACL Workshop, 2024 project page / video / pdf We study how well LLMs can complete a sequence of steps to achieve a certain goal, such as making a sandwich or repairing a bicycle tire. |
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Last update: Sep. 2025 |
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Thanks to Jon Barron for providing this amazing template. |