Skip to content
View SuperBruceJia's full-sized avatar
💪
Focusing and working hard!
💪
Focusing and working hard!
327 followers · 2.6k following

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: Starstruckx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: Starstruckx3Achievement: Arctic Code Vault Contributor

Organizations

@vkola-lab

Block or report SuperBruceJia

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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:

Pinned Loading

  1. vkola-lab/PodGPT vkola-lab/PodGPT Public

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

    Python 36 1

  2. EEG-DL EEG-DL Public

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

    Python 989 227

  3. promptcraft 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 Awesome-LLM-Self-Consistency Public

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

    86 7

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

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

    20 3

  6. Awesome-Mixture-of-Experts Awesome-Mixture-of-Experts Public

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

    11 1