Shi Gu
教师
Studies computational neuroscience, brain network dynamics and neuroimaging analysis, and links them to brain-inspired machine learning.
Shi Gu's lab at Zhejiang works on neuroscience & brain-computer interfaces and computational neuroscience & cognition. 17 papers since 2023, 14 at top venues, mostly CVPR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 82%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 7 papers2026 · T1 7 · collecting
- 4 papers2025 · T1 3
- 4 papers2024 · T1 2
- 2 papers2023 · T1 2
T1 venuesOtherVenues: CVPR, NeurIPS, AAAI, ACL, ICLR
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces1 paper
- Computational neuroscience & cognition0 papers
- links0 papers
- neuroimaging0 papers
- computational neuroscience0 papers
Paper list
From DBLP.
20267 papers
- CVPR (T1)Dynamic-Static Decomposition for Novel View Synthesis of Dynamic Scenes with Spiking Neurons (opens in a new tab)
- CVPR (T1)eRetinexGS: Retinex Modeling for Low-Light Scene Enhancement via Event Streams and 3D Gaussian Splatting (opens in a new tab)
- CVPR (T1)On the Role of Temporal Granularity in the Robustness of Spiking Neural Networks (opens in a new tab)
- CVPR (T1)Robust Spiking Neural Networks by Temporal Mutual Information (opens in a new tab)
- CVPR (T1)Rounded or Streamlined Head? Bridging Concept Bottleneck Models and Attribute-Described Object Parts (opens in a new tab)
- AAAI (T1)S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding (opens in a new tab)
- ACL (T1)SPEAK: Spiking Neurons as an Entropy-Aware Tokenizer for Large Language Models (opens in a new tab)
20254 papers
- Medical Image Anal.Enhancing source-free domain adaptation in Medical Image Segmentation via regulated model self-training (opens in a new tab)
- CVPR (T1)Hybrid Concept Bottleneck Models (opens in a new tab)
- NeurIPS (T1)Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning (opens in a new tab)
- ICLR (T1)Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness (opens in a new tab)
20244 papers
- IJCV (T1)Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration (opens in a new tab)
- Medical Image Anal.Self-supervised learning for medical image data with anatomy-oriented imaging planes (opens in a new tab)
- NeurIPS (T1)Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks (opens in a new tab)
- MIDLTrain Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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