Author

Haozong Zeng

University of British Columbia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:imaging· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:statistical model· 1

Frequent Co-Authors

Hao HuiD· 2 shared Timothy H. MurphyiD· 2 shared Ami CitriiD· 1 shared Parnian Abbasi· 1 shared Tony Fong· 1 shared Tony L FongiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersNeuroscience

Hao HuORCID

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2 papers

Recent·Most cited

Towards Video-LLM Driven Workflow for Behavioral Segmentation and Scoring in Mice Performing a Skilled Water Reaching Task: An Evaluation of Recent LLM Models

Tony L Fong, Hao Hu, Haozong Zeng, Parnian Abbasi, Timothy H. Murphy

The paper evaluates video LLMs for automated behavioral segmentation and scoring in mice performing a water-reaching task, finding that Gemini 2.5 Pro achieves high accuracy with specific resolution and visibility requirements.

Neurophotonics · Aug 4, 2026Peer-reviewedNeuroscience

PyMouse Lifter: Real Time 3-D Pose Estimation for Mice with Only 2-D Annotation Via Data Synthesis

Haozong Zeng, Hao Hu, Tony Fong, Ami Citri, Timothy H. Murphy

PyMouse Lifter reconstructs 3-D mouse poses from 2-D videos with minimal annotation, improving behavior classification over 2-D data.

bioRxiv · Aug 2, 2025 · PreprintNeuroscience