Curiousity Hub

College of Computer Science and Technology. Zhejiang University.

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Zenan Huang (黄 泽楠)

Hang Zhou, China

Mainly focused on causal discovery and inference methods for open‑world observational data, including causal discovery algorithms, transfer learning algorithms, interpretability of machine learning, learning strategies in loops, machine learning theory, etc. Also dedicated to applying causal discovery and inference algorithms to the interpretation of “neuro‑behavioral” data and causal effect inference in medical data. For example, discovering the characteristics of the circuit between premotor movement signals and central pattern generators of Drosophila larvae, digital twin networks in mouse V1 visual cortex, drug molecule discovery, and effect inference.

latest posts

Feb 25, 2024 Extend LLMs Context Window
Dec 14, 2023 Introduction to LLMs
Feb 24, 2023 MST-Analysis

selected publications

  1. IEEE TIP
    Discriminative Radial Domain Adaptation
    Zenan Huang, Jun Wen , Siheng Chen , and 2 more authors
    IEEE Transactions on Image Processing, 2023
  2. ICCV
    iDAG: Invariant DAG Searching for Domain Generalization
    Zenan Huang, Haobo Wang , Junbo Zhao , and 1 more author
    In Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023
  3. IJCAI
    Latent Processes Identification From Multi-View Time Series
    Zenan Huang, Haobo Wang , Junbo Zhao , and 1 more author
    In Thirty-Second International Joint Conference on Artificial Intelligence , Aug 2023