Shizhan Gong

Macao Polytechnic University Ph.D. student, the Chinese University of Hong Kong

I am Shizhan Gong, I am a Ph.D. student at the Chinese University of Hong Kong (CUHK) and work under the supervision of Prof. Qi Dou and Prof. Farzan Farnia. My research interests are explainable computer vision and its applications in medical image analysis.

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Education
  • The Chinese University of Hong Kong

    The Chinese University of Hong Kong

    Ph.D. in Computer Science and Engineering Sep. 2022 - Jul. 2026

  • New York University

    New York University

    M.S. in Data Science Sep. 2018 - Jul. 2020

  • Tsinghua University

    Tsinghua University

    B.Eng. in Industrial Engineering & Statistics Sep. 2014 - Jul. 2018

Service
  • Reviewer of NeurIPS, ICLR, CVPR, AAAI, WACV, BMVC, AISTATS, RECOMB.
  • Reviewer of International Journal of Computer Vision (IJCV), Transactions on Machine Learning Research (TMLR), IEEE Transactions on Medical Imaging (TMI), Medical Image Analysis (MedIA), Journal of Biomedical and Health Informatics (JBHI), Transaction on Biomedical Engineering (TBME).
Experience
  • Tencent

    Tencent

    Machine Learning Engineer Jul.2020 - March 2022

Honors & Awards
Selected Publications (view all )
Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations

Shizhan Gong, Xiaofan Zhang, Qi Dou

Annual Conference on Artificial Intelligence (AAAI) 2026 ConferencePoster

Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations

Shizhan Gong, Xiaofan Zhang, Qi Dou

Annual Conference on Artificial Intelligence (AAAI) 2026 ConferencePoster

Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models

Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia

International Conference on Machine Learning (ICML) 2025 ConferencePoster

[Paper]

Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models

Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia

International Conference on Machine Learning (ICML) 2025 ConferencePoster

[Paper]

Boosting the Visual Interpretability of CLIP via Adversarial Fine-tuning
Boosting the Visual Interpretability of CLIP via Adversarial Fine-tuning

Shizhan Gong, Haoyu Lei, Qi Dou, Farzan Farnia

International Conference on Learning Representations (ICLR) 2025 ConferencePoster

[Paper]

Boosting the Visual Interpretability of CLIP via Adversarial Fine-tuning
Boosting the Visual Interpretability of CLIP via Adversarial Fine-tuning

Shizhan Gong, Haoyu Lei, Qi Dou, Farzan Farnia

International Conference on Learning Representations (ICLR) 2025 ConferencePoster

[Paper]

3DSAM-Adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Tumor Segmentation
3DSAM-Adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Tumor Segmentation

Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou

Medical Image Analysis 2024 Journal

[Paper]

3DSAM-Adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Tumor Segmentation
3DSAM-Adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Tumor Segmentation

Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou

Medical Image Analysis 2024 Journal

[Paper]

Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training

Shizhan Gong, Qi Dou, Farzan Farnia

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 ConferencePoster

[Paper]

Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training

Shizhan Gong, Qi Dou, Farzan Farnia

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 ConferencePoster

[Paper]

All publications