Shuzhou Sun
Postdoctoral Fellow
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, China
Research Interests: AI chip design, Efficient AI systems; AI for Science; Causal inference;
E-mail: shuzhousun@cuhk.edu.hk

Biography

I am a Postdoctoral Fellow at the Department of Information Engineering, The Chinese University of Hong Kong (CUHK), working with Prof. Wanli Ouyang at MMLab. I received my Ph.D. degree from the Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Finland, in 2025, supervised by Prof. Li Liu and Prof. Janne Heikkilä. During my Ph.D., I conducted visiting research at Tsinghua University, Beijing, China, supervised by Prof. Jun Zhu; at Nankai University, Tianjin, China, supervised by Prof. Ming-Ming Cheng; and at Shanghai AI Lab, China (Jun 2025 – Aug 2025), supervised by Prof. Wanli Ouyang. My current research interests focus on AI chip design and efficient AI systems.

Publications

* co-first author
Foundation Models based Scene Graph Generation
Shuzhou Sun, Jing Liu, Li Liu, Shuaifeng Zhi, Huali Xu, Zhen Liu, Janne Heikkilä, Yongxiang Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026
Prompt is All You Need: Prompting Foundation Models for Large-scale Self-supervised Semantic Segmentation
Jiaojiao Su, Qiwu Luo, Shuzhou Sun, Yuenan Hou, Xinyu Zhang, Janne Heikkilä, Chunhua Yang, Li Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026
Step-wise distribution-aligned style prompt tuning for source-free cross-domain few-shot learning
Huali Xu, Li Liu, Tianpeng Liu, Shuaifeng Zhi, Shuzhou Sun, Ming-Ming Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Object-level Correlation for Few-Shot Segmentation
Chunlin Wen, Yu Zhang, Jie Fan, Hongyuan Zhu, Xiu-Shen Wei, Yijun Wang, Zhiqiang Kou, Shuzhou Sun
IEEE/CVF International Conference on Computer Vision (ICCV), 2025
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation
Shuzhou Sun, Li Liu, Tianpeng Liu, Shuaifeng Zhi, Ming-Ming Cheng, Janne Heikkilä, and Yongxiang Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
A Causal Adjustment Module for Debiasing Scene Graph Generation
Li Liu, Shuzhou Sun, Shuaifeng Zhi, Fan Shi, Zhen Liu, Janne Heikkilä, and Yongxiang Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Unbiased Scene Graph Generation via Two-stage Causal Modeling
Shuzhou Sun, Shuaifeng Zhi, Janne Heikkilä, Qing Liao, and Li Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation
Shuzhou Sun, Shuaifeng Zhi, Janne Heikkilä, and Li Liu
International Conference on Learning Representations (ICLR), 2023
FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active Learning using Broad Learning System
Shuzhou Sun, Huali Xu, Yan Li, Ping Li, Bin Sheng, and Xiao Lin
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
Unsupervised Fusion Feature Matching for Data Bias in Uncertainty Active Learning
Wei Huang*, Shuzhou Sun*, Xiao Lin, Ping Li, Lei Zhu, Jihong Wang, C. L. Philip Chen, and Bin Sheng
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
EAPT: Efficient Attention Pyramid Transformer for Image Processing
Xiao Lin*, Shuzhou Sun*, Wei Huang, Bin Sheng, Ping Li, and David Dagan Feng
IEEE Transactions on Multimedia (TMM), 2021

Academic Service

Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), International Conference on Multimedia and Expo (ICME), etc.

Updated on Aug 06, 2026.