高艳博，山东大学，软件学院，副教授/博导，入选山东大学青年学者未来计划，获ACM济南分会新星奖。博士毕业于电子科技大学A+学科，研究方向包括视频编码、三维视频处理等，已发表国际期刊及会议论文40余篇，获得1次国际学术会议（IEEE BMSB）最佳学生论文奖，1篇一作论文入选ESI Highly Cited Paper（高被引论文），获国际竞赛UbiComp SHL Challenge第二名，获2025年度山东省计算机视觉最佳学术论文奖。已采纳（或部分采纳）国际国内视频编码标准提案6项，其中国际IVC提案1项，国内AVS提案5项。已申请专利40余项，其中30项已授权，1项已转让。主持国家自然科学基金面上、青年项目，主持山东省自然科学基金面上项目，主持多项横向项目。
招收具有自主学习能力（Highly Motivated）的硕士生、本科实习生（C++ 实践能力强的专硕同学可优先联系我），请联系ybgao@sdu.edu.cn.
部分代表性论文 (*通讯作者，†共同一作)
[1] Y.B. Gao, X.Y. Zhao, S. Li, X. Cai, M. Ye, L. Li. IGDA-ICMH: An Importance Guided Feature and Network Dual Adaptation Framework towards Image Compression for Machine and Human Vision. IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2026.3717373（中科院一区）
[2] H.B. Bai, S. Li, H.X. Zhai, Y.B. Gao*, C. Lv, Y.B. Wang, H.P. Ping, W. Hua, X.Y. Gao. Monocular Depth Estimation From the Perspective of Feature Restoration: A Diffusion Enhanced Depth Restoration Approach. IEEE Transactions on Multimedia, 2026, doi: 10.1109/TMM.2026.3703317（中科院一区）
[3] Y.T. Jiang, S. Li, Y.B. Gao*, J.L. Zhang, H. Yuan and M. Ye. A Rate-Distortion Optimized Skip Mode Coding Framework for Neural Video Compression in AVS. IEEE Transactions on Circuits and Systems for Video Technology, vol. 36, no. 9, pp. 14156-14167, Sept. 2026.（中科院一区）
[4] Y.B. Gao, H.B. Bai, H.S. Zhou, X.Y. Gao, S. Li, X. Cai, H. Yuan, W. Hua, T. Xie. Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, Dec. 2025, 35(12): 12426-12440 (中科院一区)
[5] S. Li, H. Bai, Y.B. Gao*, C. Lv, H. Yuan, C. Li, W. Hua, T. Xie. LiftFormer: Lifting and Frame Theory Based Monocular Depth Estimation Using Depth and Edge Oriented Subspace Representation. IEEE Transactions on Multimedia, Sept. 2025, 27: 9098-9110 （中科院一区）
[6] Y.B. Gao, S. Li, M. Fu, C. Lv, Z.Y. Yang, X. Cai, H. Yuan, M. Ye. Approximately Invertible Neural Network for Learned Image Compression. IEEE Transactions on Image Processing, 2025, 34: 3041-3055 (中科院一区)
[7] S. Li, Y.B. Gao*, C.K. Li, H. Yuan. Aligned Intra Prediction and Hyper Scale Decoder Under Multistage Context Model for JPEG AI. IEEE Signal Processing Letters, 2024, 31: 1545-1549 (中科院二区)
[8] Y.B. Gao, X.Y. Wu, S. Li, X. Cai, C.K. Li. Color and Geometric Contrastive Learning Based Intra-Frame Supervision for Self-Supervised Monocular Depth Estimation. IEEE Signal Processing Letters, 2024, 31: 2940-2944 (中科院二区)
[9] X. Cai, Q.J. Shi, Y.B. Gao*, S. Li, W. Hua, T. Xie. A Structure-Preserving and Illumination-Consistent Cycle Framework for Image Harmonization. IEEE Transactions on Multimedia, 2023, 26: 51-64 (中科院一区)
[10] S. Li, K.X. Wang, Y.B. Gao*, X. Cai, M. Ye. Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis. ACM International Conference on Multimedia, 2022: 1512-1521 （CCF A）
[11] X. Cai, J.J. Chai, Y.B. Gao*, S. Li, B. Zhu. Deep Marginal Fisher Analysis based CNN for Image Representation and Classification. ACM International Conference on Multimedia, 2021: 181-189 （CCF A）
[12] B.D. Zhao, S. Li, Y.B. Gao. IndRNN Based Long-Term Temporal Recognition in the Spatial and Frequency Domain. UbiComp/ISWC Adjunct, 2020: 368-372 （国际竞赛二等奖）
[13] Y.B. Gao, C. Zhu, S. Li, T.W. Yang. Source Distortion Temporal Propagation Analysis for Random-Access Hierarchical Video Coding Optimization. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(2): 546-559 （ESI高被引论文）(中科院一区)
[14] S. Li, W.Q. Li, C. Cook, C. Zhu, Y.B. Gao. Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018: 5457-546 （GS引用1300+次）（CCF A）
[15] S.C. Song, H.W. Guo, C. Zhu, Y.B. Gao, Y.B. Lin, J.H. Zheng. Improved Template-Matching-Based FRUC Method in Inter-Frame Video Coding. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Valencia, Spain, 2018 （最佳学生会议论文奖）
[16] Y.B. Gao, C. Zhu, S. Li, T.W. Yang. Temporally Dependent Rate-Distortion Optimization for Low-Delay Hierarchical Video Coding. IEEE Transactions on Image Processing, 2017, 26(9): 4457-4470 (中科院一区)
