姓名：胡舒展
职称：讲师
邮箱：hushuzhan@cuc.edu.cn
教育背景
工学博士（信息与通信工程），清华大学，2024
工学学士（电子信息工程），北京航空航天大学，2019
讲授课程
本科生课程：《机器学习》《计算机图形学》《三维建模与呈现》
奖励与荣誉
（1）2024 IEEE Global Communications Conference (GLOBECOM 2024) 最佳论文奖
（2）The 15th International Conference on Wireless Communications and Signal Processing (WCSP 2023) 最佳论文奖
（3）2025美国大学生数学建模竞赛，M奖，指导教师
研究课题
（1）国家自然科学基金委员会，青年科学基金项目（C类），感知契合的脑启发式视听体验质量评价方法研究，2026-01-01至2028-12-31，在研，主持
（2）国家自然科学基金委员会，面上项目，脑启发视频通信，2022-01-01至2025-12-31，在研，参与
学术成果
近年来主要从事多媒体信息处理、媒体认知计算等领域研究，发表包含IEEE TPAMI、IEEE JSTSP、IEEE GLOBECOM在内的知名国际期刊会议论文10余篇，获2024 IEEE GLOBECOM、2023 WCSP最佳论文奖；授权发明专利5项，2项提案被ITU国际标准附录收录。
代表性论文：
[1] Shuzhan Hu, Yiping Duan, Xiaoming Tao, Geoffrey Ye Li, Jianhua Lu, Guangyi Liu, Zhimin Zheng and Chengkang Pan, “Brain-Inspired Image Perceptual Quality Assessment based on EEG: A QoE Perspective,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 46, no. 12, pp. 8424-8441, 2024.
[2] Shuzhan Hu, Yiping Duan, Xiaoming Tao, Jian Chu and Jianhua Lu. “Brain-Inspired Visual Attention Modeling Based on EEG for Intelligent Robotics”, IEEE Journal of Selected Topics in Signal Processing (JSTSP), vol. 18, no. 3, pp. 431-443, 2024.
[3] Shuzhan Hu, Yiping Duan, Xiaoming Tao, Geoffrey Ye Li and Jianhua Lu, “Human Perception Measurement by Electroencephalography for Facial Image Compression,” IEEE Signal Processing Letters, vol. 29, pp. 2148-2152, 2022.
[4] Shuzhan Hu, Jian Chu, Yiping Duan, Xiaoming Tao and Jianhua Lu, “Brain-Inspired VR Video Quality Assessment Based on Electroencephalography,” 2024 IEEE Global Communications Conference (GLOBECOM), 2024, pp. 169-174.
[5] Shuzhan Hu, Yiping Duan, Xiaoming Tao, Geoffrey Ye Li and Jianhua Lu, “Brain-Inspired Image Quality Assessment Method based on Electroencephalography Feature Learning,” 2021 IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-6.
[6] Shuzhan Hu, Yiping Duan, Xiaoming Tao, Yongjia Liu, Xuming Zhang and Jianhua Lu, “Content-aware Facial Image Compression with Deep Learning Method,” 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020, pp. 516-521.
[7] Chenyang Zhang, Shuzhan Hu, Chenxing Li, Yiping Duan and Xiaoming Tao, “Brain-Inspired Video Quality Assessment via Visual-EEG Feature Alignment,” IEEE Signal Processing Letters, vol. 32, pp. 3665-3669, 2025.
[8] Jian Chu, Shuzhan Hu, Yiping Duan and Xiaoming Tao, “Visual Attention Measurement Based on Electroencephalogram Feature Learning,” 2023 IEEE Global Communications Conference (GLOBECOM), 2023, pp. 3228-3233.
[9] Yiping Duan*, Shuzhan Hu*, Xin Ma and Xiaoming Tao, “Multi-Class Image Generation from EEG Features with Conditional Generative Adversarial Networks,” 2023 International Conference on Wireless Communications and Signal Processing (WCSP), 2023, pp. 534-539.
[10] Xin Ma, Yiping Duan, Shuzhan Hu, Xiaoming Tao and Ning Ge, “Eeg Based Visual Classification With Multi-Feature Joint Learning,” 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 264-268.
[11] Chenxing Li, Yiping Duan, Xiaoming Tao, Shuzhan Hu, Qianqian Yang and Changwen Chen, “Object-Attribute-Relation Model based Semantic Coding for Image Transmission,” Journal of the Franklin Institute, vol. 361, no. 11, pp. 106942, 2024.
[12] Yiping Duan, Zhe Li, Xiaoming Tao, Qiang Li, Shuzhan Hu and Jianhua Lu, “EEG-Based Maritime Object Detection for IoT-Driven Surveillance Systems in Smart Ocean,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 9678-9687, 2020.
[13] Zhe Li, Bingrui Geng, Xiaoming Tao, Yiping Duan, Dingcheng Gao and Shuzhan Hu, “Video Quality Measurement For Buffering Time Based On EEG Frequency Feature,” 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 1424-1428.