
个人简介
王一鸣,男,江苏扬州人,中共党员。2025年6月获河海大学计算机科学与技术博士学位。2025年9月加入南京审计大学计算机学院。2024年7月—12月在字节跳动多媒体实验室担任视频编解码标准研究员实习生。目前担任中国计算机学会多媒体技术专业委员会委员,江苏省信息技术应用学会多媒体技术专委会委员。
Ø 教学及研究方向(主讲课程)
研究方向为智能图像视频编码,开设课程有《数据挖掘》。
Ø 教学及科研奖励
1. 2022年江苏省信息技术应用学会科学技术一等奖,3/6
2. 2023 年获“中国软件杯”大学生软件设计大赛二等奖
3. 2025年IEEE International Conference on Multimedia & Expo (ICME) 最佳论文提名/TOP15最佳论文
4. 2025年 IEEE International Conference on Image Processing (ICIP)差旅资助奖1000美元
Ø 部分发表论文(*为通讯作者)
1. [ICME’25] Yiming Wang, Zhaobin Zhang, Yaojun Wu, Qian Huang, Bin Tang, Kai Zhang, and Li Zhang. Efficient Local-Global Collaboration Transcoding for JPEG AI, 2025 IEEE International Conference on Multimedia & Expo. (CCF-B类会议论文,多媒体领域顶级会议,最佳论文提名/TOP15最佳论文)
2. [KBS’25] Yiming Wang, Qian Huang, Bin Tang, Xin Li, and Xing Li. Multiscale Motion-Aware and Spatial-Temporal-Channel Contextual Coding Network for Learned Video Compression, Knowledge-Based Systems, 2025. (中科院1区TOP)
3. [ESWA’25] Yiming Wang, Qian Huang, Bin Tang, Xin Li, and Xing Li. STFE-VC:Spatio-Temporal Feature Enhancement for Learned Video Compression, Expert Systems with Applications, 2025. (中科院1区TOP)
4. [ESWA’24] Yiming Wang, Qian Huang, Bin Tang, Huashan Sun, Xiaotong Guo, and Zhuang Miao. Temporal Context Video Compression with Flow-Guided Feature Prediction, Expert Systems with Applications, 2024. (中科院1区TOP)
5. [NEUROCOM’23]Yiming Wang, Qian Huang, Chuanxu Jiang, Jiwen Liu, Mingzhou Shang, and Zhuang Miao. Video stabilization: A comprehensive survey, Neurocomputing, 2023. (中科院2区TOP)
6. [ICASSP’24]Yiming Wang, Qian Huang, Bin Tang, Wenting Liu, Wenchao Shan, and Qian Xu. Learned Video Compression with Spatial-Temporal Optimization, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing. (CCF-B类会议论文,信号处理领域旗舰会议)
7. [ICIP’23]Yiming Wang, Qian Huang, Bin Tang, Huashan Sun, and Xiaotong Guo. FGC-VC: Flow-Guided Context Video Compression, 2023 IEEE International Conference on Image Processing. (CCF-C类会议论文,图像视频处理领域旗舰会议)
8. [ACM MM’25]Yaojun Wu, Chaoyi Lin, Yiming Wang, Semih ESENLIK, Zhaobin Zhang, Kai Zhang, and Li Zhang. Neural Video Compression with In-Loop Contextual Filtering and Out-of-Loop Reconstruction Enhancement. The 33rd ACM International Conference on Multimedia (CCF-A类会议论文,多媒体领域顶级会议)
9. [ICASSP’25]Qian Huang, Wenting Liu, Xin Li, and Yiming Wang*, Learned Video Compression with Refined Adaptive Flow Pyramid and Coordinate-Aware Attention”, 2025 IEEE International Conference on Acoustics, Speech and Signal Processing. (CCF-B类会议论文,信号处理领域旗舰会议)
10. [ICIP’25]Qian Huang, Wenchao Shan, Qian Xu, Zaipeng Xie, and Yiming Wang*. Learned Video Compression with Spatial Correlation Priors and Hierarchical Temporal Attention. 2025 IEEE International Conference on Image Processing. (CCF-C类会议论文, 图像视频处理领域旗舰会议)
11. [ICIP’25]Hao Lu, Qian Huang, Ziyang Yin, Zaipeng Xie, and Yiming Wang, Neighbor-Aware Feature-driven Motion Compensation for Learned Video Compression. (CCF-C类会议论文, 图像视频处理领域旗舰会议)
12. [SMC’24] Qian Huang, Wenting Liu, Hao Lu, and Yiming Wang. Spatial-Temporal Motion Compensation for Learned Video Compression. 2024 IEEE International Conference on Systems, Man, and Cybernetics. (CCF-C 类会议论文,自动化领域旗舰会议)
13. [IEEE Sens.J’25]Qian Huang, Hao Lu, Wenting Liu, and Yiming Wang. Scalable Motion Estimation and Temporal Context Reinforcement for Video Compression using RGB sensors, IEEE Sensors Journal,2025.(中科院2区)
Ø 部分授权发明专利
1. 王一鸣,胡笳,车少帅等. 一种引入深层次行为理解的视频浓缩方法, 2022. (发明专利,已授权,专利号:ZL202011162596.7)
2. 黄倩,王一鸣,黄媛等. 一种基于块运动估计的数字视频稳像方法,2020. (发明专利,已授权,专利号:ZL201710920094.8)
3. 苗壮,王一鸣,黄倩,张睿,王家宝,李阳,张迪. 一种基于深度学习的数字视频稳像方法,2020. (发明专利,已授权,ZL201811485029.8)
4. 苗壮,张迪,黄倩,张睿,王家宝,李阳,王一鸣. 一种基于自适应运动补偿的帧率转换方法, 2021. (发明专利,已授权,ZL201811485019.4)
5. 黄倩,黄媛,王一鸣.一种基于相机轨迹估计和特征块匹配的稳像方法, 2022. (发明专利,已授权,ZL201910192526.7)
6. Yaojun Wu, Yiming Wang, Zhaobin Zhang, Qian Huang, Kai Zhang and Li Zhang. A NEURAL NETWORKBASEDVIDEO COMPRESSION METHOD WITHFREQUENCY DECOMPOSITION TRANSFORMER(PCT 专利/CN2025/075020)
7. Yaojun Wu, Chaoyi Lin, Yiming Wang, Semih ESENLIK, Zhaobin Zhang, Kai Zhangand Li Zhang. ANEURAL NETWORK-BASED VIDEO COMPRESSION METHOD WITH FILTERINGENHANCEMENT (PCT 专利/CN2025/075101)
Ø 获人才工程及荣誉称号
1. 江苏省三好学生(2024)
2. 江苏省软件奖学金(全省42名)(2019)
Ø 联系方式
办公室:致明楼217-2
邮箱:wangyiming@nau.edu.cn