Fushuo Huo
Scholar

Fushuo Huo

Google Scholar ID: tcX5RMYAAAAJ
The Hong Kong Polytechnic University
Large Vision Language ModelMultimodal LearningTrustworthy AI
Citations & Impact
All-time
Citations
757
 
H-index
16
 
i10-index
17
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • - Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models, ICLR 2025.
  • - Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection, ECCV 2024.
  • - C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation, CVPR 2024, Highlight.
  • - PROCC: Progressive cross-primitive consistency for open-world compositional zero-shot learning, AAAI 2024.
  • - Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement, AAAI 2024.
  • - REQA: Coarse-to-fine Assessment of Image Quality to Alleviate the Range Effect, Journal of Visual Communication and Image Representation 2024.
  • - UTDNet: A unified triplet decoder network for multimodal salient object detection, Neural Networks 2023.
  • - Graph knows unknowns: Reformulate zero-shot learning as sample-level graph recognition, AAAI 2023.
  • - (ML)^2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning, CVPR 2023.
  • - Towards Unbiased Multi-Label Zero-Shot Learning with Pyramid and Semantic Attention, IEEE Transactions on Multimedia 2022.
  • - Three-stream interaction decoder network for RGB-thermal salient object detection, Knowledge-Based Systems 2022.
  • - Spatiotemporal regularization correlation filter with response feedback, Journal of Electronic Imaging 2022.
  • - Real-time One-stream Semantic-guided Refinement Network for RGB-Thermal Salient Object Detection, IEEE Transactions on Instrumentation and Measurement 2022.
  • - Efficient Context-Guided Stacked Refinement Network for RGB-T Salient Object Detection, IEEE Transactions on Circuits and Systems.
Research Experience
  • - 2024.04-2024.11: Research Intern, supervised by Dr. Zhong Zhang and Peilin Zhao, Tencent AI Lab.
Education
  • - 2022.09-2025.09 (expected): Ph.D., supervised by Prof. Song Guo and Wenchao Xu, The Hong Kong Polytechnic University.
  • - 2024.10-2025.09 (expected): Visiting Ph.D., supervised by Prof. Dacheng Tao, Nanyang Technological University.
  • - 2019.09-2022.06: M.S., supervised by Prof. Xuegui Zhu and Lei Zhang, Chongqing University.
  • - 2015.09-2019.06: B.S. (Minor in Finance), China University of Mining and Technology.
Background
  • Research Interest: Trustworthy AI, Elastic AI, Multimodal Learning, Vision-language Model.
Miscellany
  • Contact: fushuo.huo AT connect dot polyu dot hk; Phone: +86 18751795276
  • Other Links: [Google Scholar] [Github] [Wechat]