Skip to content
View mrflogs's full-sized avatar
😄
Nice to meet you!
😄
Nice to meet you!
30 followers · 2 following
  • University of Science and Technology of China
  • Beijing, China

Achievements

Achievement: Starstruckx2

Achievements

Achievement: Starstruckx2

Block or report mrflogs

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.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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

Report abuse
mrflogs/README.md

gtihub-visitors

Hi there 👋

👯 Hi, I am Zhengbo Wang, a Ph.D. student from the University of Science and Technology of China.

✊ I am supervised by Jian Liang.

🔭 I’m currently working on machine learning topics about vision-language models.

📫 Feel free to drop me an email (zhengbowang@mail.ustc.edu.cn) if you are interested.

Zhengbo's Stats

github contribution grid snake animation

Pinned Loading

  1. SHIP SHIP Public

    Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"

    Python 104 6

  2. icassp23 icassp23 Public

    Official code for ICASSP 2023 paper, "Exploiting Semantic Attributes for Transductive Zero-Shot Learning"

    Python 5 1

  3. ICLR24 ICLR24 Public

    Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"

    Python 85 1

  4. CraFT CraFT Public

    Official code for ICML 2024 paper, "Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models"

    Python 19

  5. LoRA-Pro LoRA-Pro Public

    Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "

    Python 148 8

  6. LoRA-Pre LoRA-Pre Public

    Official code for ICLR 2026 Oral paper, "Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation"

    31