【人物简介】

　　高新波，1972年出生，教授、博士生导师。兼任西安电子科技大学“模式识别与智能系统学科”带头人、中国图像图形学学会常务理事，陕西省图形与图像学会副理事长、中国计算机学会理事，CCF多值逻辑与模糊逻辑专委会主任委员、中国人工智能学会机器学习专业委员会委员、陕西省电子学会图像图形工程专业委员会主任。

【研究方向】

1.机器学习与计算智能 2. 计算机视觉与模式识别 3.智能影像感知与内容理解 4.医学影像处理与科学可视化技术 5.临地空间信息栅格网理论与关键技术

【研究成果】

获陕西省科学技术奖1项、陕西省高校科技进步一等奖2项、校级科技创新一等奖3项。2007年入选教育部创新团队（智能信息处理）；在国际学术期刊和会议上发表论文50余篇，申请专利12项。出版专著1部、教材2部，主持省级精品课程1门，获省级优秀教学成果二等奖2项，校级优秀教学成果一等奖5项，所主讲的《数字信号处理》荣获教育部双语教学示范课程，2008年入选教育部教学创新团队，并荣获教学名师称号。

【科研项目】

　　国家杰出青年科学基金项目“多媒体信息处理与分析” 　　国家自然科学基金重点项目“临地空间信息栅格网理论与关键技术” 　　国家自然科学基金重点项目“日侧冕状极光的分类及其产生机制研究” 　　国家自然科学基金项目“基于广义稀疏表示的异质人脸图像变换和质量评价” 　　中央高校基本科研业务费专项资金资助项目“综合遥感影像一体化张量分析理论方法体系与关键技术研究”

【论文著作】

　　[1] L.-L. An, X.-B. Gao, et al. Robust Reversible Watermarking via Clustering and Enhanced Pixel-wise Masking. IEEE Trans. on Image Processing (IEEE-TIP), 2012. 　　[2] X.-B. Gao, N.-N. Wang, et al. Face Sketch-Photo Synthesis and Retrieval Using Sparse Representation. IEEE Trans. on Circuits Systems for Video Technology (IEEE-TCSVT), 2012. 　　[3] X.-B. Gao, et al. Single Image Super-resolution with Sparse Neighbor Embedding. IEEE Trans. on Image Processing (IEEE-TIP), 2012. 　　[4] Y. Su, X.-B. Gao, et al. Multivariate Multi-linear Regression. IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics. 2012. Digital Object Identifier: 10.1109/TSMCB.2012.2195171 　　[5] X.-B. Gao, et al. Joint Learning for Single Image Super-resolution via Coupled Constraint. IEEE Trans. on Image Processing (IEEE-TIP), Vol.21, No.2, pp.469-490, 2012. 　　[6] Y. Su, Y. Fu, X.-B. Gao, Q. Tian. Discriminant Learning through Multiple Principal Angles for Visual Recognition. IEEE Trans. on Image Processing (IEEE-TIP), Vol.21, No.3, pp.1381-1390, 2012. 　　[7] C.-N. Tian, G.-L. Fan, X.-B. Gao, Q. Tian. Multi-view Face Recognition: From TensorFace to V-TensorFace and K-TensorFace. IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics (IEEE-TSMC-B), Vol.42, No.2, pp.320-333, 2012. 　　[8] X.-B. Gao, X.-M. Wang, et al. Supervised Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Trans. on System, Man, and Cybernetics, Part B: Cybernetics (IEEE-TSMC-B), Vol.41, No.2, pp.518-525, April 2011. 　　[9] X.-B. Gao, B. Wang, et al. A Relay Level Set Method for Automatic Image Segmentation. IEEE Trans. on System, Man, and Cybernetics, Part B: Cybernetics (IEEE-TSMC-B), Vol.41, No.2, pp.42-434, April 2011. 　　[10] X.-B. Gao, L.-L. An, et al. Lossless Data Embedding Using Generalized Statistical Quantity Histogram. IEEE Trans. on Circuits Systems for Video technology (IEEE T-CSVT), Vol.21, No.8, pp.1061-1070, 2011. 　　[11] K.-B. Zhang, X.-B. Gao, et al. Partially Supervised Neighbor Embedding for Example-based Image Super-resolution. IEEE Journal of Selected Topics in Signal Processing, Vol.5, No.5, pp.230-239, 2011. 　　[12] X.-B. Gao, J. Chen, et al. Multi-sensor Centralized Fusion without Measurement Noise Covariance by Variational Bayesian Approximation. IEEE Trans. on Aerospace and Electronic Systems (IEEE-TAES), Vol.47, No.1, pp.718-722, 2011. 　　[13] X.-B. Gao, Q. Wang, et al. Zernike Moment-based Image Super Resolution. IEEE Trans. on Image Processing (IEEE-TIP), Vol. 20, No.10, pp.2738-2747, 2011. 　　[14] X.-B. Gao, C. Deng, et al. Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions. IEEE Trans. on System, Man and Cybernetics, Part C: Applications and Reviews (IEEE-TSMC-C), Vol.40, No.3, pp.278-286, 2010. 　　[15] X.-B. Gao, Y. Su, et al. A Review of Active Appearance Models. IEEE Trans. on System, Man, and Cybernetics, Part C: Applications and Reviews (IEEE-TSMC-C), Vol.40, No.2, pp.145-158, 2010. 　　[16] X.-B. Gao, Y. Wang, et al. On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection. IEEE Trans. on Information Technology in Biomedicine (IEEE-TITB), Vol.14, No.2, pp.266-273, 2010. 　　[17] B. Wang, X.-B. Gao, et al. A Unified Tensor Level Set for Image Segmentation. IEEE Trans. on System, Man, and Cybernetics, Part B: Cybernetics (IEEE-TSMC-B), Vol. 40, No.3, pp.857-867, 2010. 　　[18] X.-B. Wang, Z. Li, P.-C. Xu, Y.-Y. Xu, X.-B. Gao. Spectrum Sharing in Cognitive Radio Networks: An Auction-based Approach. IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics (IEEE-TSMC-B), Vol.40, No.3, pp.587-596, June 2010. 　　[19] C.-H. Hu, X.-B. Wang, Z.-C. Yang, J.-F. Zhang, Y.-Y. Xu, X.-B. Gao. A Geometry Study on the Capacity of Wireless Networks via Percolation. IEEE Trans. on Communications (IEEE-TC), Vol.58, No.10, pp.2916-2925, 2010. 　　[20] X.-B. Gao, W. Lu, et al. Image Quality Assessment Based on Multiscale Geometric Analysis. IEEE Trans. on Image Processing (IEEE-TIP), Vol.18, No.7, pp.1409-1423, 2009.