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Focusing and working hard!
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Focusing and working hard!

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@vkola-lab

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SuperBruceJia/README.md

What is the most surprising finding in your research?

  • PodGPT Research: It is surprising to see that leveraging Podcasts into Large Language Models (LLMs) significantly boosts its ability to process medical information, making it an invaluable tool for education and research [1, 2].

  • Image Quality Assessment Research: Mimicking the long-dependency perception of Human Visual System, the Non-local Modeling enhances image quality assessment [1].

  • EEG Research: By cooperating with the functional topological relationship of electrodes, the decoding performance of raw EEG signals is improved [1, 2].

    Shuyue's github activity graph

Fast access to some projects

Source codes of all my works will be shared on GitHub, the trained models and datasets will be released on 🤗 Hugging Face, and some of my applied research on Vision and Language will be developed as Web or Android/iOS mobile apps.

Boston University: mostly Multimodal Foundation Models and Generative AI research

Topic 1: Large Language Models (LLMs):


Topic 2: Large Multimodal Models (LMMs/MM-LLMs): We will gradually deploy all our Multimodal Foundation Models on our PodGPT platform.


Topic 3: Evidence-based Medicine (EBM):


Topic 4: Medical Imaging with AI:


City University of Hong Kong: mostly Computer Vision research

Northeast Electric Power University: mostly Deep Learning research

Others:

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  1. vkola-lab/PodGPT Public

    PodGPT: An audio-augmented large language model for research and education

    Python 37 1

  2. EEG-DL Public

    A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

    Python 999 228

  3. promptcraft Public

    PromptCraft is a prompt perturbation toolkit from the character, word, and sentence levels for prompt robustness analysis. PyPI Package: pypi.org/project/promptcraft

    Python 14 1

  4. Awesome-LLM-Self-Consistency Public

    Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models

    90 7

  5. Awesome-Large-Vision-Language-Model Public

    Awesome Large Vision-Language Model: A Curated List of Large Vision-Language Model

    22 3

  6. Awesome-Mixture-of-Experts Public

    Awesome Mixture of Experts (MoE): A Curated List of Mixture of Experts (MoE) and Mixture of Multimodal Experts (MoME)

    13 1

1,397 contributions in the last year

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Loading A graph representing SuperBruceJia's contributions from March 03, 2024 to March 06, 2025. The contributions are 94% commits, 5% issues, 1% pull requests, 0% code review.   Code review 5% Issues 1% Pull requests 94% Commits

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March 2025

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