Author

Qihao Zheng

Shanghai Artificial Intelligence Laboratory

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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Organism:zebrafish· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:Drosophila· 1 Assay:electronic health records· 1

Frequent Co-Authors

Wanli OuyangiD· 2 shared Alexandre PougetiD· 1 shared Changmin Chen· 1 shared Chunfeng SongiD· 1 shared Guo Lu· 1 shared Han HouiD· 1 shared Jia-Qi Guan· 1 shared Jiahui Zhang· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioengineering

Wanli OuyangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

NeuroPack: Advanced Learnable Packaging Toolkit Towards Ultra-High Compression Ratio for Volumetric Neuroimaging

Runkai Zhao, Yang Xiaoxuan, Jiamin Wu, Qihao Zheng, Jiahui Zhang, Jia-Qi Guan, Weidong Cai, Jiulin Du, Lei Bai, Xu-Fei Du, Wanli Ouyang, Guo Lu, Song Chunfeng

NeuroPack compresses 3D neuroimaging data with high fidelity and ultra-high compression ratios using a hyperprior-driven deep learning toolkit.

bioRxiv · Oct 30, 2026 · PreprintBioengineering

UniSPAC: A Unified Segmentation Framework for Proofreading and Annotation in Connectomics

Juntao Deng, Jiamin Wu, Changmin Chen, Qihao Zheng, Zhaoxiang Zhang, Jingpeng Wu, Wanli Ouyang, Chunfeng Song

UniSPAC improves neuronal segmentation in connectomics by combining 2D interactive proofreading and 3D tracing, reducing manual effort and enabling semi-automatic labeling.

bioRxiv · Nov 27, 2024 · PreprintNeuroscience

Neural Correlates of Optimal Multisensory Decision Making

Han Hou, Qihao Zheng, Yuchen Zhao, Alexandre Pouget, Yong Gu

The paper shows that the brain integrates multisensory inputs optimally using a simple linear combination of neural activity, consistent with an invariant linear probabilistic population code.

bioRxiv · Nov 29, 2018 · PreprintNeuroscience