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https://github.com/superbrucejia/superbrucejia


https://github.com/superbrucejia/superbrucejia

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# What is the most surprising finding in your research?
- **PodGPT Research**: It is surprising to see that leveraging **Podcasts** into **LLM** significantly boosts its ability to process medical information, making it an invaluable tool for education and research [[1](https://www.medrxiv.org/content/10.1101/2024.07.11.24310304v1)].
- **Image Quality Assessment Research**: Mimicking the **long-dependency perception** of Human Visual System, the **Non-local Modeling** enhances image quality assessment [[1](https://ieeexplore.ieee.org/document/9950035)].
- **EEG Research**: By cooperating with the **functional topological relationship of electrodes**, the decoding performance of raw EEG signals is improved [[1](https://ieeexplore.ieee.org/document/9889159), [2](https://www.frontiersin.org/article/10.3389/fbioe.2021.706229)].

[![Shuyue's github activity graph](https://github-readme-stats.vercel.app/api?username=SuperBruceJia&count_private=true&show_icons=true&theme=flag-india&hide_border=true&line_height=32&card_width=350&hide_title=true)](https://github-readme-stats.vercel.app/api?username=SuperBruceJia&count_private=true&show_icons=true&theme=flag-india&hide_border=true&line_height=32&card_width=350&hide_title=true)

## Fast access to some projects
Source codes of all my works will be shared on [GitHub](https://github.com/SuperBruceJia), the trained models and datasets will be released on 🤗 [Hugging Face](https://huggingface.co/shuyuej), 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)***:
- 🔥 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 - [GSM8K-Consistency Benchmark](https://github.com/SuperBruceJia/GSM8K-Consistency) (available on 🤗 [Hugging Face](https://huggingface.co/datasets/shuyuej/GSM8K-Consistency))
- 🔨 𝐓𝐨𝐨𝐥𝐤𝐢𝐭 - [PromptCraft: A Prompt Perturbation Toolkit](https://github.com/SuperBruceJia/promptcraft) and the released [PyPI Package](https://pypi.org/project/promptcraft)
- 🧰 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧𝐬 - [Quantized Large Language Models](https://huggingface.co/collections/shuyuej/quantization-669ea25d2ea444924e543da2) (available on 🤗 [Hugging Face](https://huggingface.co/collections/shuyuej/quantization-669ea25d2ea444924e543da2))
- 📚 𝐏𝐚𝐩𝐞𝐫 𝐒𝐮𝐫𝐯𝐞𝐲 - [Awesome LLM Self-Consistency](https://github.com/SuperBruceJia/Awesome-LLM-Self-Consistency)
- 📚 𝐏𝐚𝐩𝐞𝐫 𝐒𝐮𝐫𝐯𝐞𝐲 - [Awesome Semantic Textual Similarity (STS)](https://github.com/SuperBruceJia/Awesome-Semantic-Textual-Similarity)

| LLMs Research Topic | Description |
|:------------------------------:|:----------------------------------------------------------------------------------------:|
| 𝗟𝗟𝗠𝘀 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗯𝘆 𝗔𝗱𝘃𝗲𝗿𝘀𝗮𝗿𝗶𝗮𝗹 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 | [CoEvolve LLMs: Co-Evolution of LLMs via Adversarial Learning](https://github.com/SuperBruceJia/Co-Evolve-LLMs) |
| 𝗕𝗶𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗧 | [Bidirectional Chain-of-Thought (Bi-CoT) Prompting](https://github.com/SuperBruceJia/Bi-Directional-CoT) |
| 𝗣𝗿𝗼𝗺𝗽𝘁 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗮𝗻𝗱 𝗦𝗲𝗹𝗳-𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 | [Prompt Consistency (PC)](https://github.com/SuperBruceJia/PromptConsistency) |
| 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝗟𝗟𝗠𝘀 | [Fine-Tune LLaMA2 (7B) with LoRA Adapter on MetaMath](https://github.com/SuperBruceJia/MetaMath-Fine-Tune-with-LoRA)
and
[The Trained LoRA models for inference on 🤗 Hugging Face](https://huggingface.co/shuyuej/metamath_lora_llama2_7b_3_epoch) |


***Topic 2: Large Multimodal Models (LMMs/MM-LLMs)***: We will gradually deploy all our Multimodal Foundation Models on our **PodGPT** platform.
- 🚀 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 - [𝐏𝐨𝐝𝐆𝐏𝐓 𝐎𝐧𝐥𝐢𝐧𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦](https://podgpt.org/) and our [**preprint**](https://www.medrxiv.org/content/10.1101/2024.07.11.24310304v1) are available online!
- 📚 𝐏𝐚𝐩𝐞𝐫 𝐒𝐮𝐫𝐯𝐞𝐲 - [Awesome Large Vision-Language Model (LVLM/MM-LLM)](https://github.com/SuperBruceJia/Awesome-Large-Vision-Language-Model)
- 📚 𝐏𝐚𝐩𝐞𝐫 𝐒𝐮𝐫𝐯𝐞𝐲 - [Awesome Mixture of Experts (MoE)](https://github.com/SuperBruceJia/Awesome-Mixture-of-Experts)


***Topic 3: Evidence-based Medicine (EBM)***:
- 📚 𝐏𝐚𝐩𝐞𝐫 𝐒𝐮𝐫𝐯𝐞𝐲 - [Awesome Evidence-based Medicine](https://github.com/SuperBruceJia/Awesome-Evidence-based-Medicine)


***Topic 4: Medical Imaging with AI***:
- 🖼️ 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐈𝐦𝐚𝐠𝐢𝐧𝐠 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐞𝐫 - [Online Medical Imaging Visualizer (based on Papaya)](https://shuyuej.com/Medical-Imaging-Visualizer/)


**City University of Hong Kong**: mostly Computer Vision research
- 𝐍𝐨𝐧-𝐥𝐨𝐜𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 - [Non-local Modeling for Image Quality Assessment](https://github.com/SuperBruceJia/NLNet-IQA)
- 𝐍𝐨𝐧-𝐥𝐨𝐜𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 - [Context-aware Non-local Compensation for Image Quality Assessment](https://github.com/SuperBruceJia/CAIQUE-IQA)

**Northeast Electric Power University**: mostly Deep Learning research
- 🔥 𝐋𝐢𝐛𝐫𝐚𝐫𝐲 - [EEG Deep Learning Library](https://github.com/SuperBruceJia/EEG-DL)
- 𝐒𝐜𝐨𝐮𝐭 𝐄𝐒𝐈 𝐚𝐧𝐝 𝐂𝐍𝐍 - [EEG Motor Imagery Signals Classification via CNN](https://github.com/SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow)
- 𝐒𝐨𝐧𝐚𝐫 𝐈𝐦𝐚𝐠𝐞 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 - [Sonar Image Segmentation via Entropy Method](https://github.com/SuperBruceJia/Sonar-Image-Segmentation-through-Entropy-Method) → [𝗣𝗮𝘁𝗲𝗻𝘁](https://patents.google.com/patent/CN112164079A/en)

**Others**:
- [Download Papers through Terminal based on Sci-Hub](https://github.com/SuperBruceJia/Sci-Hub-Paper-Download-shell)
- [Awesome Poster Presentation](https://github.com/SuperBruceJia/Poster_Template)
- [CVPR LaTeX Template](https://github.com/SuperBruceJia/CVPR-LaTeX-Paper-Template)
- [Download Google Scholar Citation Papers](https://github.com/SuperBruceJia/Google-Scholar-Citations-Download)
- [Python Programming Standards (Tencent, in Chinese)](https://github.com/SuperBruceJia/paper-reading/tree/master/Programming-Standards/python)