Wenhao Hu is a PhD student at Zhejiang University, with CVNext Lab advised by Prof. Gaoang Wang. His research interests include 3D vision, generative model, and anomaly detection.

Selected Publications:

Also see Publications Page and Google Scholar.

  • IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion
    Wenhao Hu, Zesheng Li, Haonan Zhou, Liu Liu, Xuexiang Wen, Zhizhong Su,Xi Li, Gaoang Wang✉
    AAAI 2026(oral)
    [Project Page]

    [Paper]
    We present a framework for building complete and interactive 3D scenes by integrating multi-scan observations, leveraging object rearrangements to reveal and reconstruct previously occluded regions.

  • Deep Learning Methods for Small Molecule Drug Discovery: A Survey
    Wenhao Hu*, Yingying Liu*, Xuanyu Chen, Wenhao Chai, Hangyue Chen, Hongwei Wang✉, Gaoang Wang✉
    IEEE Transactions on Artificial Intelligence
    [Paper]
    we present a comprehensive review on molecule generation, molecular property prediction, retrosynthesis analysis and reaction prediction, and discuss the relationships among different applications.

  • Learning Discrimination from Contaminated Data: Multi-Instance Learning for Unsupervised Anomaly Detection
    Wenhao Hu, Yingying Liu, Jiazhen Xu, Xuanyu Chen, Gaoang Wang✉
    International Conference on Multimedia (ICME), 2023
    [Paper]
    we propose a novel unsupervised representation learning framework that takes advantage of the extra information provided by the anomalies in the unlabeled contaminated data for anomaly detection.

Updates:

  • Mar 2023: Our paper IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion has been accepted to AAAI 2026 as an oral presentation

  • Mar 2023: Our paper Deep Learning Methods for Small Molecule Drug Discovery: A Survey is accepted by IEEE T-AI.

  • Mar 2023: Our paper Learning Discrimination from Contaminated Data: Multi-Instance Learning for Unsupervised Anomaly Detection is accepted by ICME.

  • Sept 2021: Become a PhD student member of CVNext Lab at Zhejiang University, advised by Professor Gaoang Wang.