部门:信息与机电工程学院
聘任技术职务:讲师(高校)
学位:工学博士学位
学历:博士研究生毕业
毕业院校:上海交通大学
联系电话:
电子邮箱:zhang_hs@shnu.edu.cn
办公地点:奉贤校区科技楼A座705
通讯地址:奉贤校区科技楼A座705

研究方向

深度学习,计算机视觉,图像与视频处理。


学术成果

1. Zhang Y, Zhang H, Cheng Z, et al. SSP-IR: Semantic and Structure Priors for Diffusion-based Realistic Image Restoration[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025.

2. Chai X, Cheng Z, Zhang H, et al. SemanticColorizer: Improving color semantic rationality for vivid automatic image colorization[J]. Displays, 2025, 90: 103172.

3. Zhang H, Chai X, Zhang Y, et al. Hdrtvformer: Efficient Sdrtv-to-Hdrtv via Affine Transformation and Spatial-Aware Transformer[C]//ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024: 2785-2789.

4. Zhang H, Song L, et al. EffiHDR: An Efficient Framework for HDRTV Reconstruction and Enhancement in UHD Systems[J]. IEEE Transactions on Broadcasting. 2024(2):70.

5. Zhang H, Song L, et al. Multi-scale-based joint super-resolution and inverse tone-mapping with data synthesis for UHD HDR video[J]. Displays, 2023: 102492.

6. Zhang H, Zou X, et al. A codec information assisted framework for efficient compressed video super-resolution[C]//European Conference on Computer Vision. 2022: 220-235.

7. Zhang Y, Zhang H, Song L, et al. Dual-Head Fusion Network for Image Enhancement[C]//IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5.

8. Liu X, Chai X, Zhang H, et al. Old-Photo Restoration with Detail- and Structure-enhanced Cascaded Learning. ICMEW, 2023.

9. Chai X, Liu X, Zhang H, et al. MLS-GAN: Multi-Level Semantic Guided Image Colorization[C]//2022 IEEE International Conference on Image Processing (ICIP). IEEE, 2022: 1131-1135.

10. Chen J, Gan W, Zhang H, et al. Video Enhancement Based on Unpaired Learning[C]//2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2021: 1-6.


学术成果

论文
  • [1] 张恒胜·SSP-IR: Semantic and Structure Priors for Diffusion-Based Realistic Image Restoration·IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,卷: 35期: 7页: 6259-6272
科研项目
  • [1] 张恒胜.基于视觉感知的高动态范围视频重建方法,在研

教学工作

教职工课程信息
开课学年开课学期课程名称
2025-20262人工智能引论
2025-20261数字图像处理
2025-20261通信原理
2025-20261信号与系统
2025-20262人工智能引论

荣誉奖励

社会兼职