发表tip论文

1. Y.M.Xing, S.Kishimoto, Y.Tanaka and N.Shinya, A novel method for determining interfacial residual stress in fiber-reinforced composites, J Composite Materials, 2004, Vol.38,No.2, 137-1482. Y. M. Xing, Y. Tanaka, S. Kishimoto, N. Shinya, Determining interfacial thermal residual stress in SiC/Ti-15-3 composites, 2003, Vol 48, No.9, 701-7063. Ya M., Xing Y.M., Dai F.L., Lu K and Lu J. Study of residual stress in surface nanostructured AISI 316L stainless steel using two mechanical methods, Surface Coat. Tech., 168, 2003, p.148-155.4. Y.M.Xing and W. Yang, Measuring crack tip deformation with nanoscopic resolution, 10th International Conference in Fracture, Hawaii, Dec.,2-6, 20015. Y.M.Xing, K. Lu and J. Lu , Study the effect of Surface Nanocrystalline Material on the Fracture Mechanism, APCFS & ATEM’01, 2001.Oct.20-22, Sendai, Japan6. Y.M. Xing, M. Ya, F. L. Dai and W. Yang, Several applications of nano-moiré method in mesomechanics. Invited lecture in 3rd International Conference on Experimental Mechanics in Beijing, October, 14-17, 2001, Beijing.7. M. Ya, F. L. Dai, Y.M. Xing, J. Lu. Study of Residual Stresses of Surface Nanocrystalline Material by Moiré Interferometry and Hole-Drilling Method. 3rd International Conference on Experimental Mechanics in Beijing, October, 14-17, 2001, Beijing.8. Y.M.Xing, F. L.Dai and W. Yang, An Experimental Observation About Dislocation Nucleation Based On Peierls Concept, METALS AND MATERIALS International, Vol.7 , No.1, 2001, 43-479. 邢永明、戴福隆、杨卫，准解理微裂纹裂尖纳观变形场的实验研究，中国科学（A辑），2000.8, 第30卷，第8期10. Y.M.Xing, F.L.Dai and W.Yang, An experimental study about nano-deformation field near quasi-cleavage crack tip, SCIENCE IN CHINA (A), Vol. 43, No.9, Sep. 2000, 963-968.11. 邢永明、康补晓、朱红、王宝山、戴福隆，固体发动机保险机构热应力实验应力分析，力学学报，No.2, 2000，Vol.32, No.2, 2000, 239-24412. Y.M.Xing, F.L.Dai and W.Yang，An Experimental Observation About Dislocation Nucleation Based On Peierls Concept KEY ENGINEERING MATERIALS，183-1: 737-742 200013. Y.M.Xing, Z.Y.Wang and F.L.Dai, Moiré methods used in nanomechanics and mesomechanics, a key lecture on International Conference on Mesoechanics 2000, June, 2000, Xi’an14. Y.M.Xing, H.Yun and F.L.Dai, An experimental study of laminates with dropped plies, COMPOSITE SCIENCE AND TECHNOLOGY, No.59, 1999, 1527-1531.15. F.L.Dai and Y.M.Xing, Nano-moiré method, ACTA MECHANICA SINICA, Vol.15, No.3, 1999, 283-28816. Wei YANG, Yongming XING and Fei FANG, Microscopic and Nanoscopic Deformation at a Crack Tip, International Conference on Nano and Micromechanics of Solids for Emerging Science and Technology, Sheraton Hotel, Palo Alto, USA, Oct.7-9, 199917. 云海、邢永明，叠层复合材料层缩区的弹性应力场，内蒙古工业大学学报， No.2, Vol.18, 1999, 85-8818. 邢永明，戴福隆、谢惠民，纳米云纹法及网格法，第九届全国实验力学会议大会特邀报告，1998.11，广州, 213-21619. 邢永明、雷振昆、温秀梅、戴福隆，利用材料的拉压异性无损检测残余应力的新方法研究，力学学报，Vol.33, No.2, 2001..3, 264-26920. Y.M.Xing, C.Y.Poon and C Ruiz, An whole-field strain analysis of Iosipescu specimen and evaluation of experimental errors, COMPOSITE SCIENCE AND TECHNOLOGY，No.47, 1993, 251-259.21. 邢永明、方萃长, 离面客观散斑法，力学学报, No.6, 1988, 533-541.22. 邢永明、方萃长，离面客观散斑法测振法，实验力学，No.2, 1989, 187-19223. Xing Yongming and Wang Guizhen, A new method for the nondestructive measurement of residual stress, Applied Mechanics, No.3, 1989.24. Y.M.Xing, Automated moire interferometry for composite measurement, OXFORD UTC No.2, 199325. Y.M.Xing, Shearing of objective speckle, Proceedings of International Conference on Advanced Experimental Mechanics, 1988. 526. 邢永明，拉压异性的应力应变关系及应用, 理论与应用力学学报,1990(2)27. 邢永明，关于Iosipescu试验的研究,第八届全国复合材料会议文集-复合材料进展,航空工业出版社, 1994, 南京28. 邢永明，时间相移法云纹干涉图像处理系统, 第八届全国实验力学会议文集--实验力学进展, 哈工大出版社,1995.8(独立完成)29. 邢永明，自动云纹干涉系统及在复合材料中的应用, 内蒙古工业大学学报, 1994第四期30. 邢永明、康补晓、朱红，材料力学实验课内容更新, 材料力学的教学与研究文集, 国家教委材料力学课程指导组编, 陕西科学技术出版社, 199431. 邢永明，国际一流大学印象, 内工大<<高教研究>>, 1994第一期32. 邢永明，与课程建设、学科建设相结合, 努力提高实验室水平, 内蒙高校实验工作会议, 1994.833. 邢永明，白光散斑的轨迹线及大变形分析, 第七届全国实验力学会议,1990.1134. 邢永明，白光散斑振动分析, 第七届全国实验力学会议文集, 1990.1135. 邢永明、刘先龙，多灵敏度离面客观散斑法, 内蒙古工学院学报, 1988(2)36. 邢永明、方萃长，离面客观散斑法在薄板弯曲变形中的应用, 第五届全国实验力学会议文集, 1987. 537. 邢永明，刘先龙，全息干涉条纹的倍增, 内蒙古工学院学报, 1983 一期38. 王珂，邢永明，平面光弹性的一点扩展,内蒙古工学院学报, 1982 一期39. 邢永明、云海、戴福隆，用云纹干涉法研究复合材料层缩区的破坏机理，现代力学测试技术，华南理工大学出版社，199840. 尚海霞、邢永明，弱界面叠层复合材料层缩区破坏机理的研究，力学与工程应用，杜庆华主编，北京林业出版社，2002.

Souleymane Balla-Arabé, X.-B. Gao. A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method. IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics (IEEE TSMC B), 2013. In PressK.-B. Zhang, X.-B. Gao, et al. Learning Local and Non-Local Priors for Single Image Super-resolution. IEEE Trans. Image Processing (IEEE TIP), Vol.21, No,11, pp.4544-4556, 2012.L.-L. An, X.-B. Gao, et al. Robust Reversible Watermarking via Clustering and Enhanced Pixel-wise Masking. IEEE Trans. Image Processing (IEEE TIP), Vol.21, No.8, pp.3589-3611, 2012.Y. Su, X.-B. Gao, et al. Multivariate Multi-linear Regression. IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics (IEEE SMC B), Vol.42, No.6, pp.1560-1573, Dec. 2012.X.-B. Gao, K. Zhang, et al. Image Super-Resolution with Sparse Neighbor em[ant]bedding. IEEE Trans. Image Processing (IEEE TIP), Vol.21, No.7, pp.3149-3205, 2012.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.X.-B Gao, K.-B. Zhang, 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.C.-N. Tian, G. 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.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), Vol.22, No.8, pp.1213-1226, 2012X.-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.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.X.-B. Gao, L. L. An, et al. Lossless Data em[ant]bedding Using Generalized Statistical Quantity Histogram. IEEE Trans. on Circuits Systems for Video Technology (IEEE TCSVT), Vol.21, No.8, pp.1061 1070, 2011.K.-B. Zhang, X.-B. Gao, et al. Partially Supervised Neighbor em[ant]bedding for Example based Image Super resolution. IEEE Journal of Selected Topics in Signal Processing, Vol.5, No.5, pp.230 239, 2011.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.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.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.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.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.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.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.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.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.D. Tao, X. Li, W. Lu, X.-B. Gao. Reduced reference IQA in Contourlet Domain. IEEE Trans. on System, Man, and Cybernetics, Part B: Cybernetics (IEEE TSMC B), Vol.39, No.6, pp.1623 1627, 2009.X.-B. Gao, J. Zhong, J. Li, C. Tian. Face Sketch Synthesis Algorithm Based on E HMM and Selective Ensemble. IEEE Trans. on Circuits and Systems for Video Technology (IEEE TCSVT), Vol.18, No.4, pp.487 496, 2008.X.-B. Gao and X. Tang. Unsupervised Video Shot Segmentation and Model free Anchorperson Detection for News Video Story Parsing. IEEE Trans. on Circuits Systems for Video Technology (IEEE TCSVT), Vol. 12, no. 9, pp.765 776, 2002.X. Tang, X.-B. Gao, J. Z. Liu and H. Zhang. A Spatial temporal Approach for Video Caption Detection and Recognition. IEEE Trans. on Neural Networks (IEEE TNN), Vol.13, No. 4, pp. 961 971, 2002.Z. X. Niu, X.-B. Gao, Q. Tian. Real World Trajectory Extraction for Attack Pattern Analysis in Soccer Video. Pattern Recognition, Vol.45, No.5, pp.1937 1947, 2012.X.-B. Gao, X. Wang, et al. Transfer Latent Variable Model Learning Based on Divergence Analysis. Pattern Recognition (Elsevier), Vol.44, No.10 11, pp.2358 2366, 2011.Y. Wang, D. Tao, X.-B. Gao. Feature em[ant]bedded vector valued contour based level set method with relaxed shape constraint for mammographic mass segmentation. Pattern Recognition (Elsevier), Vol.44, No.9, pp.1903 1915, 2011.X.-B. Gao, B. Xiao, et al. Image categorization: graph edit distance + edge direction histogram. Pattern Recognition (Elsevier). Vol.41, No.10, pp.3179 3191, October, 2008.X.-B. Gao, et al. Shot based Video Retrieval with Optical Flow Tensor and HMM. Pattern Recognition Letters (Elsevier), Vol.30, No.2, pp.140 147, 2009.X. Chen, X.-B. Gao*, et al. 3D Reconstruction of Light Flux Distribution on Arbitrary Surfaces from 2D Multi photographic Images. Optics Express, Vol,18, No.19, pp.19876 19893, 2010.X. Chen, X.-B. Gao, et al. A study of photon propagation in free space based on hybrid radiosity radiance theorem. Optics Express, Vol.17, No.18, pp.16266 16280, 2009X.-B. Gao, R. Fu, et al. Image Segmentation for Aurora Index Extraction. Computer Vision and Image Understanding, Vol.115, No.3, pp.390 402, 2011.X.-B. Gao, Y. M. Yang, et al. Discriminative optical flow tensor for video semantic analysis. Computer Vision and Image Understanding, Vol.113, No. 3, pp.372 383, 2009.K. Zhang, X.-B. Gao, et al. Multi scale Dictionary for Single Image Super resolution. Proceedings of Computer Vision and Pattern Recognition (CVPR2012), Providence, Rhode Island, 16 21 June, 2012, USA.Z. Niu, G. Hua, X.-B. Gao and Q. Tian. Context Aware Topic Model for Scene Recognition. Proceedings of Computer Vision and Pattern Recognition (CVPR2012), Providence, Rhode Island, 16 21 June, 2012, USA.L. H. He, D. Tao, X. Li, X.-B. Gao. Sparse Representation for Blind Image Quality Assessment. Proceedings of Computer Vision and Pattern Recognition (CVPR2012), Providence, Rhode Island, 16 21 June, 2012, USA.Z. X. Niu, G. Hua, X.-B. Gao, Q. Tian. Spatial DiscLDA for Visual Recognition. Proceedings of Computer Vision and Pattern Recognition (CVPR2011), 21 23 June, 2011, Colorado, USA.Z. X. Niu, Q. Tian, X.-B. Gao. Real World Trajectory Extraction for Attack Pattern Analysis in Soccer Video. Proceedings of the ACM International Conference on Multimedia (ACM MM2010), pp.635 638, 25 29 October 2010, Firenze, Italy.W. Ning, J. Li, J. Li, X.-B. Gao. 3D Medical Image Processing and Analyzing System. Demo session of Asian Conference on Computer Vision (ACCV2009), Xian, China, 2009.其它核心期刊及国际会议论文200余篇，其中SCI检索100余篇，EI检索200余篇。

TIP期刊投稿

其实投稿还取决于个人的态度，在不考虑完成科研任务的前提下，有些人喜欢某个期刊，那么就应该把这个期刊保留到第二轮或者第三轮投稿，不要第一轮就投出去。理由如上所述，一般而言一投就中的概率非常低，要对被拒有充分的准备。当然，你可以选择一些有经验的润色公司帮助你选择期刊

5.857。根据查询《IEEE计算智能杂志》得知，ieeetip2018影响因子是5.857。IEEETIP，全称是IEEETransactionsonImageProcessing，是Q1区期刊，属于中国计算机学会认可的计算机图形学与多媒体领域A类期刊。

投稿tip期刊

1 ：全称：Pattern Analysis and Machine Intelligence, IEEE Transactions on（ TPAMI ）出版社：IEEE 网址： 2：全称：International Journal of Computer Vision（ IJCV ）出版社：Springer 网址： 3：全称：Signal Processing Magazine, IEEE 出版社：IEEE 网址： 4：全称：Pattern Recognition（ PR ）出版社：Elsevier 网址：全称：Image Processing, IEEE Transactions on（ TIP ）出版社：IEEE 网址： 5：全称：Signal Processing Letters, IEEE（ SPL ）出版社：IEEE 网址： 6：全称：Digital Signal Processing（ DSP ）出版社：Elsevier 网址： 7：全称：Multimedia, IEEE Transactions on（ TMM ）出版社：IEEE 网址： 8：全称：Computer Vision and Image Understanding（ CVIU ）出版社：Elsevier 网址： 9：全称：Image and Vision Computing（ IVC ）出版社：Elsevier 网址： 10：全称：Neurocomputing 出版社：Elsevier 网址： 11：全称：Pattern Recognition Letters（ PRL ）出版社：Elsevier 网址： 12：全称：Intelligent Transportation Systems, IEEE Transactions on（ TITS ）出版社：IEEE 网址： 13：全称：Journal of Vision（ JoV ）出版社：JV 网址： 14：全称：Signal Processing 出版社：Elsevier 网址： 15：全称：Journal of Visual Communication and Image Representation 出版社：Elsevier 网址： 16：全称：Signal Processing: Image Communication 出版社：Elsevier 网址： 17：全称：Journal of Mathematical Imaging and Vision 出版社：Springer 网址： 18：全称：Signal, Image and Video Processing 出版社：Springer 网址： 19：全称：Journal of Real-Time Image Processing 出版社：Springer 网址： 20：全称：Machine Vision and Applications 出版社：Springer 网址： 21：全称：The Visual Computer（ TVC ）出版社：Springer 网址： 22：全称：Multimedia Tools and Applications 出版社：Springer 网址： 23：全称：Image Processing, IET 出版社：IEEE 网址： 24：全称：Signal Processing, IET 出版社：IEEE 网址： 25：全称：Computer Vision, IET 出版社：IEEE 网址：

tip期刊投稿时间

审稿速度取决于很多因素。三个月到半年的都会有。首先提交完论文是submitted状态，然后等待分配AE，这个过程大概需要半个月左右，有的期刊是EIC直接分配，但像TIP还有senior area editor。分配完AE之后会进入in peer review，也就是AE去找了审稿人，TIP一般是三个审稿人当然也见过四个的，AE给审稿人的时间是六周，但有的reviewer会不按时提交。收集了审稿人意见之后，进入await AE decision阶段，这个过程一般是半个月以内，但有的AE比较忙，等待一个月以上也是常有的事情。

TIP期刊投稿经验

是的。IEEETIP于1992年创刊，1992～1993年是季刊；1994年是双月刊；1995年开始更为月刊。近5年来，期刊的发文量很稳定，保持在440+。

IEEE Trans. On Image Processing(简称TIP)是图像处理领域top期刊之一，对研究的创新性和完整性要求比较高。

论文初步上传后，有一个月时间的quality check过程，主要是对研究方向是否符合期刊、英文写作是否达到水平进行检查，这个过程估计是AE和ADM(期刊编辑）共同完成，论文的状态在此时也会进入“under review”，但只是quality check阶段。

如果过了quality check（如果没过，会直接返回，和IEEE SIGNAL PROCESSING LETTERS类似），论文正式进入审稿阶段，在7月初，审稿经历了约4个月，收到了一审意见Major Revision（RQ），三个审稿人给了2个RQ,一个AQ,两个RQ的审稿人主要对论文组织结构提出了问题。

这个主要是我的算法包含了好几个创新点，写的时候没能突出重点，公式推导有点长；但是三个审稿人对论文的创新性都进行了肯定。

有用的经验：

1、只要对自己的idea有信心，不管审稿结果如何，心里都不用慌，没有不让重投，就有机会。

2、认真对待审稿人的每一条意见，他们都是这个领域的大牛、小牛，意见很可能对文章有重要的提升。

3、修改时间估计不够时，提前几天申请延长修改时间，只要理由得当，编辑会很nice地同意的。

4、TIP的整个投稿周期很长，有耐心，做点别的事情。

介绍：

(1) IEEE Transactions on Pattern Analysis and Machine Intelligence，IEEE模式分析与机器智能汇刊，简称PAMI，是IEEE最重要的学术性汇刊之一。

(2) ACM Transactions on Graphics，美国计算机协会图形汇刊，简称TOG，该刊侧重于计算机图形的处理，影响因子在该领域也比较高。(3) International Journal of Computer Vision，该刊也是该领域的顶级期刊之一，相比于PAMI来讲，该刊侧重于理论的推导。

(4) IEEE Transactions on Image Processing，该刊也是图像处理领域的代表性期刊之一，相比于上面三个期刊来讲，该刊稍微低一点层次。