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Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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huitangtang/README.md

Hi there!

👋 About Me

I am a Postdoctoral Research Fellow at the Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, and a core member of Prof. Xiaomeng Li's Lab. I earned my Ph.D. from the Geometric Perception and Intelligence Research Lab (Gorilla Lab) at South China University of Technology, under the supervision of Prof. Kui Jia, and my B.E. in Information Engineering from the same institution.

My research centers on deep learning for computer vision and medical image analysis, spanning foundational topics (few-shot learning, domain adaptation, multi-modal fusion, interpretability) and frontier directions (generative modeling, VFM/VLM/LLM, multi-agent systems) to enable robust, scalable, and deployable AI solutions.

I actively serve as a reviewer for top-tier conferences (CVPR, ICCV, AAAI, NeurIPS, ICML, ICLR, ICME) and journals (TIP, PR, TNNLS, EAAI, ESWA, NEUNET, NEUCOM, JBHI, INS, etc).

📎 Homepages

Popular repositories Loading

  1. On_the_Utility_of_Synthetic_Data On_the_Utility_of_Synthetic_Data Public

    Code release for "A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation", accepted by CVPR2023.

    Python 13 1

  2. DisClusterDA DisClusterDA Public

    Code release for Unsupervised Domain Adaptation via Distilled Discriminative Clustering published by Pattern Recognition in 2022

    Python 11 2

  3. H-SRDC H-SRDC Public

    Code release for Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering (TPAMI 2022).

    Python 10 2

  4. GSF-PPF GSF-PPF Public

    Code release for ``Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning'' published in CVPR 2022.

    Python 7 1

  5. STOCO STOCO Public

    Code release for ``Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers'' accepted by ECCV 2022.

    Python 5 1

  6. ViCatDA ViCatDA Public

    Code release for Vicinal and categorical domain adaptation published by Pattern Recognition in 2021

    Python 4 2