Code Monkey home page Code Monkey logo

Hi there, I'm Siteng Huang (黄思腾 in Chinese)! πŸ‘‹ You can also call me Kyon Huang.

I am a fifth-year Ph.D. student at Zhejiang University, advised by Prof. Donglin Wang. Additionally, I am involved in a joint program with Westlake University and am a member of Machine Intelligence Laboratory (MiLAB). Currently, I am also a research intern at Alibaba Group. Prior to my Ph.D. career, I received my B.Eng. Degree from School of Computer Science, Wuhan University in 2019.

Twitter GitHub GitHub Google Scholar

πŸ” Currently, my research has centered on

  • AIGC: text-to-image generation (T2I), customized & controllable generation, diffusion models
  • Multi-modal large models: parameter-efficient fine-tuning (PEFT / PETL), multimodal large language models (MLLM), vision-language pre-trained models (VLM), text-video retrieval (TVR)
  • Data-efficient learning: few-shot learning (FSL), compositional zero-shot learning (CZSL), meta-learning, transfer learning
  • Embodied AI: foundation models for robotics

I am always looking for related colaboration. If you are interested to chat with me, feel free to drop me an email.

πŸ’¬ News:

  • [November 29, 2023] A new paper about Cobra, an efficient multi-modal large language model, was released. Project page has been available. The paper has been featured by Hugging Face Daily Papers! Demo will be soon available.
  • [March 13, 2024] One paper about parameter-efficient tuning for visual grounding got accepted for ICME 2024.
  • [February 27, 2024] Awarded as Zhejiang University 2024 Outstanding Graduates!
  • [February 27, 2024] Three papers as first/co-first author got accepted for CVPR 2024. Congratulations to all collaborators!
  • [December 13, 2023] One paper on diffusion model-based zero-shot visual grounding got accepted for ICASSP 2024. Congratulations to all collaborators!
  • [December 9, 2023] One paper on VLM-based unsupervised domain adaptation got accepted for AAAI 2024.
  • [November 29, 2023] A new paper on action-customized text-to-image generation was released. Project page has been available.
  • [November 29, 2023] A new paper about a training-free layout calibration system for text-to-image generation was released. Project page has been available.
  • [July 24, 2023] 2023 Scholar Metrics was released by Google Scholar. Our paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting" ranked 8th of the CIKM 2019 conference according to the citations, and 26th within five years.
  • [April 2, 2023] One paper about reference-limited compositional learning got accepted for ICMR 2023. Congratulations to all collaborators!
  • [February 28, 2023] One paper about parameter-efficient text-video retrieval got accepted for CVPR 2023. Congratulations to all collaborators!

πŸ“« Contact me by:

  • Email: siteng.huang[at]gmail.com (Please change [at] to @)

Kyon Huang's Projects

Kyon Huang doesn’t have any public repositories yet.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.