伍铁如

职称:教授、博士生导师

毕业院校:吉林大学

email:wutr@jlu.edu.cn

个人主页:

研究方向:计算机辅助几何设计、计算机图形学、数值逼近、 机器学习及其应用,科学智能,工业软件

个人简介


伍铁如,现任吉林大学人工智能学院副院长、人工智能学院和数学学院教授、博士生导师。历任中国计算机学会杰出会员、计算机辅助设计与图形学专业委员会常务委员,中国工业与应用数学学会几何设计与计算专业委员会常务委员、大数据和人工智能专业委员会委员,中国数学会计算机数学专业委员会委员,《计算机辅助设计与图形学学报》编委,科技部重大项目评审专家,工信部重大项目评审组组长等职。从事计算机辅助几何设计、计算机图形学、机器学习及其应用等研究。在隐式代数曲面的研究工作被写入几何设计专著 Handbook of CAGD。 先后获国家自然科学基金委面上项目3项,并主持国家重点研发计划项目课题一项、吉林省重大科技专项课题一项等,合同金额累计 800 余万元。探索高层次几何处理及其在汽车外形设计中的应用,作为核心成员申报“旗翼汽车外气动智能仿真开发软件”获第三届中央企业熠星创新创意大赛创意类一等奖。近年来,领导学术团队,针对新型神经网络的构造、图像处理和三维重建中的人工智能方法、小样本学习、可解释机器学习、联邦学习和人工智能安全等课题展开研究,取得了一系列研究成果。


工作经历

1995.07 —— 1997.09    吉林大学数学研究所    助教

1997.09 —— 2001.09    吉林大学数学研究所    讲师

2001.09 —— 2006.09    吉林大学数学学院       副教授

2006.09 ——2023.2      吉林大学数学学院       教授

2003.09 —— 至今      吉林大学数学学院    硕士生导师

2009.01 —— 至今      吉林大学数学学院   博士生导师

2003.08 —— 2003.12    英国曼彻斯特理工大学  访问学者

2018.10 —— 2023.2     吉林大学人工智能学院    兼职教授、博士生导师

2019.12—— 至今      吉林大学,人工智能学院   副院长

2023.3—— 至今      吉林大学人工智能学院教授、博士生导师,吉林大学数学学院双聘教授、博士生导师


教育经历

1988.09 —— 1992.06   吉林大学数学系   本科生

1992.09 —— 1995.06   吉林大学数学所   硕士研究生

2003.09 —— 2008.06   吉林大学商学院   博士研究生

2001.06 —— 2001.07   清华大学计算机系   CAGD高级研讨班学员

2002.09 —— 2002.12   北京语言大学出国部    高级英语进修班学员


科研项目

1.代数样条曲面造型技术中的误差控制研究,国家自然科学基金面上项目,时间为2010年1月至2012年12月,额度33万(批准号60973155),负责人。

2.面向概念车外形设计的高层次几何处理方法研究,国家自然科学基金面上项目,时间为2014年1月至2017年12月,额度60万(批准号61373003),负责人。

3.基于深度学习的跨模态三维几何处理方法研究,国家自然科学基金面上项目,时间为2019年1月至2022年12月,直接费用64万(批准号61872162),负责人。

4.国家重点研发计划项目“智能算法模型安全评估与风险监测技术”,课题:“智能算法模型安全与攻防博弈技术”负责人,2022年11月至2025年11月,合同金额360万。

5.吉林省重大科技专项“乘用车气动性能智能开发系统及智能控制关键技术”,研究课题: 乘用车气动性能智能开发系统”负责人,2022年11月至2025年9月,135万。


论文选

[1]Wu Tieru, Gao Weiguo and Feng Guochen, Blending of implicit algebraic surfaces, Proceedings of the ASCM 1995(Beijing, China, Aug.18--20), 125―131.

[2]Zhou Yunshi and Wu Tieru, Blending algebraic surfaces of lowest degree, Proceedings of the ASCM1995(Beijing, China, Aug. 18--20), 133--136.

[3]Wu Tieru, Zhou Yunshi and Feng Guochen, Blending two quadratic algebraic surfaces with cubic surfaces, Proceedings of ASCM 1996 (Kobe, Japan, Aug. 20―22), 73―79.

[4]Feng Guochen, Wu Tieru, Yu Kai and Zhou Yunshi, Three-way blends of implicit algebraic surfaces, Proceedings of 3rd ASCM(Lanzhou, China, Aug. 6―8,1998), 201--208.

[5] Wu Tieru and Zhou Yunshi, On blending of several quadratic algebraic surfaces, CAGD 17(2000), 759.-766,2000 (SCI).

[6]Wu Tieru, Lei Na and Cheng Jinsan, Wu Wen-tsun Formulae for the Blending of Pipe Surfaces, Northeast Mathematics, Vol.17, No.4,383-386,2001.

[7]Wu Tieru and Zhou Yunshi, 3-way Blending Surfaces of Symmetric Form, Computational Mathematics and Applications, ICMS2002.

[8]Lei Na, Wu Tieru and Feng Guochen, Wu Wen-tsun Formulae for the Blending of Quadratic Surfaces, International Congress of Mathematical Software,372-378, ICMS2002.

[9]Feng Guochen, Wu Tieru, Yu Kai, Zhang Shugong and Zhou Yunshi, Blending several implicit algebraic surfaces with ruled surfaces, AMS/IP Studies in Advanced Mathematics,Vol.34, 89-111,2003.

[10]Wu Tieru and Han Liwen, Newton Form Formulae for the n-way Blending of Quadratic Surfaces, JCC Workshop '03: Digital Engineering, Korea, 2003.

[11]Han Liwen and Wu Tieru, Subdivision Generation for the Blending of Quadratic Surfaces, The Proceedings of International Symposium on Computing and Information, 2004.

[12] Wu Tieru and Cheng Honglu, Basic Lines, Axes and Geometric Modeling on Implicit Algebraic Surfaces, The Proceedings of International Symposium on Computing and Information, 863-867, 2004.(SCI)

[13]Han Liwen and Wu Tieru, Subdivision Generation for the Blending of Quadratic Surfaces, Journal of information& Computational science1:1,(2004)35-40(EI).

[14] Wu Tieru and Cheng Honglu, Basic Lines, Axes and Geometric Modeling on Implicit Algebraic Surfaces, JCAM, Vol 195/1-2 212-219,2006(SCI)。

[15]Wen-Yong Gong, Yong-Jin Liu, Kai Tang, Tie-Ru Wu, 2-manifold surface sampling and quality estimation of reconstructed meshes, 8th international symposium on Voronoi diagram in science and engineering, 15-22,2011. (EI)

[16] Wen-Yong Gong, Yong-Jin Liu, Tie-Ru Wu. Delaunay/Voronoi Dual Representation of Smooth 2-Manifolds. The 12th International Conference on CAD/Graphics, 494-501,2011. (EI)

[17]Wen-Yong Gong, Min-Hao Guo, Tie-Ru Wu. Computing Discrete Ruled Surfaces Using Weighted Graph. International Conference on Mechatropic Sciences, Electric Engineering and Computer, 1019-1024,2011. (EI)

[18]Yong-Jin Liu*, Kai Tang, Wen-Yong Gong, Tie-Ru Wu. Industrial Design using Interpolatory Discrete Developable Surfaces. Computer Aided Design, Vol.43, No.9, 1089-1098, September 2011.(SCI,EI)

[19]Minghao Guo, Tieru Wu, Shugong Zhang, Geometric Information and Rational Parametrization of Nonsingular Cubic Blending Surfaces,Journal of Applied Mathematics, Vol. 2011, Article ID 349315, 16 pages, 2011. DOI:10.1155/2011/349315. (SCI).

[20]Wenyong Gong, Xinglong Wu, Tieru Wu. Fakery Image Identifying using Lighting Direction. Journal of Information and Computational Science, 1945-1955,2012.(EI)

[21]Zhen Wang*, Yuanhai Shao, Tieru Wu, A GA-based Model Selection for Smooth Twin Parametric-Margin Support Vector Machine, Pattern Recognition, Vol.46, No.8, 2267-2277,AUG 2013 .(SCI,EI)

[22]Bo Peng, Hui-Xin Zhang*, Zhi-Wei Hao, Jian Wang, Rui Ma, Tie-Ru Wu,Multi-source deformation blending and transfer, Chinese Journal of Computers, v 36, n 12, p2491-2498, December 2013 .(EI)

[23]Ruifeng Wu, Huilai Li, Tieru Wu*, A Family of Modified Even Order Bernoulli-Type Multiquadric Quasi-Interpolants with Any Degree Polynomial Reproduction Property, Journal of Applied Mathematics , Article ID: 389215, 2014.(SCI).

[24]Zhen Wang*, Yuan-Hai Shao, Tie-Ru Wu, Proximal parametric-margin support vector classifier and its applications, Neural Computing and Applications,Vol.24, No.3-4,755-764 , Mar 2014.(SCI,EI)

[25]Wen-Yong Gong*, Yong-Jin Liu, Kai Tang, Tie-ru Wu, Variational Discrete Developable Surface Interpolation, Journal of Computing and Information Science in Engineering, Vol. 14, No.2,Article ID:021002, JUN 2014.(SCI,EI)

[26]Yichen Jia, Tieru Wu, Seamles s instant image cloning based on derivative and intensity interpolation, Journal of Information and Computational Science, v 11, n 9, p 3019-3028, June 10, 2014.(EI)

[27]Minghao Guo, Tieru Wu, Shugong Zhang, Rational parametrization of fat quadric surfaces, Journal of Information and Computational Science, v 11, n 10, p3613-3620, July 1, 2014.(EI)

[28]Wenyong Gong, Yong-Jin Liu*, Kai Tang and Tieru Wu,Approximate Delaunay mesh reconstruction and quality estimation from point samples, Journal of Computational and Applied Mathematics,Pages 23-34 Volume 274,2015. (SCI,EI)

[29]Ruifeng Wu, Tieru Wu and Huilai Li*, A family of multivariate multiquadric quasi-interpolation operators with higher degree polynomial reproduction, Journal of Computational and Applied Mathematics,Pages 88-108,Volume 274,2015. (SCI,EI)

[30]Wenyong Gong, Xiaohua Xie*, Rui Ma and Tieru Wu, Angle-Preserving Quadrilateral Mesh Parameterization, IEEE Computer Graphics and Application,51-59, Vol.35,No.6, 2015.(SCI)

[31]Xue Jiao*, Huixin Zhang, Tieru Wu, Mesh segmentation guided by seed points, Journal of Advanced Mechanical Design Systems and Manufacturing, Vol.9, No.4, SI, 15-00012,2015.(SCI)

[32]Xue Jiao*, Tieru Wu, A visual consistent adaptive image thresholding method, Image Science Journal, Vol.64, No.1, 34-49, Jan 2016.(SCI)

[33]Jiao Xue*,Wu Tieru,Qin Xuzhou,Mesh segmentation by combining mesh saliency with spectral clustering, JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,2018,329:134~146 ;(SCI, EI.)

 [34] Qin Xuzhou ; Wu Tieru ; Liu Yipeng,Research and Application of Example-Driven Surface Deformation Method,CHINESE JOURNAL OF ELECTRONICS, 28(1),85-92,(2019). (SCI)

[35] Qin Xuzhou, Wu Tieru, Liu Yipeng. A surface deformation method based on stiffness control [J]. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 14(1),DOI: 10.1299/jamdsm.2020jamdsm0010(2020). SCI

[36] Ruifeng Wu, Huilai Li, Tieru Wu*, Univariate Lidstone-type multiquadric quasi-interpolants,Computational and Applied Mathematics  393),141-159(2020). SCI

[37] Chuangye Zhang, Yan Niu, Tieru Wu, Ximing Li, Color Image Super-Resolution and Enhancement with Inter-Channel Details at Trivial Cost,J. Comput. Sci. Technol, 35, 889–899 (2020). SCI

[38] Lingfei Li, Tieru Wu, “Automatic Spectral Mesh Segmentation Method Based on Fiedler Residual", Chinese Journal of Electronics, Vol. 30, No. 3, DOI: 10.1049/cje.2020.11.001. 2021. (SCI)

[39] Hui Li, Zihao Li, Rui Ma, Tieru Wu, FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs, 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), Page1300-1306, DOI:10.1109/ICPR56361.2022.9956466, 2022.

[40] Yu An, Tieru Wu, Yinan Lu, Segmentation Method of Magnetic Tile Surface Defects Based on Deep Learning,INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 17(2),DOI10.15837/ijccc.2022.2.4502, APR 2022.(SCI)

[41] Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang, Out-of-Distribution Generalization of Federated Learning via Implicit Invariant RelationshipsProceedings of Machine Learning Research, (ICML2023)v202, pp 11905-11933, 2023.CCF A

[42] Jingzhao Xu,Mengke Yuan, Dong-Ming Yan, Tieru WuDeep unfolding multi-scale regularizer network for image denoisingCOMPUTATIONAL VISUAL MEDIA9(2), pp335-350, DOI:10.1007/s41095-022-0277-5,JUN 2023.(SCI)

[43] Cong Wang, Fan Tang, Yong Zhang, Tieru Wu, Weiming  Dong, Towards harmonized regional style transfer and manipulation for facial images, COMPUTATIONAL VISUAL MEDIA9 (2) , pp.351-366,DOI:10.1007/s41095-022-0284-6,JUN 2023.SCI

[44] Shuangmei Wang, Rui Ma, Tieru Wu, Yang Cao,P3DC-shot: Prior-driven discrete data calibration for nearest-neighbor few-shot classificationIMAGE AND VISION COMPUTING, 136, DOI:10.1016/j.imavis.2023.104736,AUG 2023. SCI

[45] Chuan Jin, Tieru Wu*, Junsheng Zhou:Multi-grid representation with field regularization for self-supervised surface reconstruction from point cloudsCOMPUTERS & GRAPHICS-UKVolume 114, Page 379-386,DOI:10.1016/j.cag.2023.06.016,AUG 2023.SCI

[46] Bowen Xu, Yinan Lu, Tieru Wu, Xiaoxin Guo, The Novel Instance Segmentation Method Based on Multi-Level Features and Joint AttentionCHINESE JOURNAL OF ELECTRONICS32(5), pp.1160-1168DOI: 10.23919/cje.2021.00.226,SEP 2023.SCI

[47] Jingzhao Xu, Mengke Yuan, Dong-Ming Yan, Tieru Wu, Illumination Guided Attentive Wavelet Network for Low-Light Image EnhancementIEEE TRANSACTIONS ON MULTIMEDIA, Volume 25, pp.6258-6271, DOI:10.1109/TMM.2022.3207330,2023SCI

[48] Linlian Jiang, Pan Chen, Ye Wang, Tieru Wu, Rui Ma,P2M2-Net: Part-Aware Prompt-Guided Multimodal Point Cloud CompletionCOMPUTER-AIDED DESIGN AND COMPUTER GRAPHICS, CAD/GRAPHICS 202314250, pp.348-365DOI:10.1007/978-981-99-9666-7_23,2024.

[49] Ziyou Guo, Zhen Huang, Wenyong Gong, Tieru Wu,Wave-PCT: Wavelet point cloud transformer for point cloud quality assessmentEXPERT SYSTEMS WITH APPLICATIONSVolume 257,DOI 10.1016/j.eswa.2024.125039JAN 10 2024.SCI

[50] Shuangmei Wang, Yang Cao, Tieru Wu,TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning,NEURAL PROCESSING LETTERS,Volume 56,Issue 4, DOI:10.1007/s11063-024-11605-0,MAY 8 2024.SCI

[51]Yukai Zhang, Ao Xu, Zihao Li, Tieru Wu, Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space, 33rd International Conference on Artificial Neural Networks and Machine Learning (ICANN), 15019 , pp.184-198DOI:10.1007/978-3-031-72341-4_13, 2024.

[52]Ao Xu, Tieru Wu, Generally-Occurring Model Change for Robust Counterfactual Explanations, 33rd International Conference on Artificial Neural Networks and Machine Learning (ICANN) 15019 , pp.215-229DOI:10.1007/978-3-031-72341-4_15,2024.

[53] Zihao Li, Xiao Du, Tieru Wu and Yang Cao, Explaining Random Forests as Single Decision Trees through Distance Functional Optimization,2024 International Joint Conference on Neural Networks (IJCNN),Yokohama, Japan, pp. 1-8, DOI: 10.1109/IJCNN60899.2024.10650261, 2024.

[54] Chuan Jin, Tieru Wu*, Yu-Shen Liu, Junsheng Zhou: MuSic-UDF: Learning Multi-Scale dynamic grid representation for high-fidelity surface reconstruction from point clouds, COMPUTERS & GRAPHICS-UK, Volume 124DOI:10.1016/j.cag.2024.104081NOV 2024. (SCI)

[55] Yaming Guo, Chen Zhu*, Hengshu Zhu*, Tieru Wu*, OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation, In Proceedings of Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS-2024), 2024.CCF A

 [56] Ao Xu,  Zihao Li ,  Yukai Zhang, Tieru Wu: Generating Image Counterfactuals in Deep Learning Models Without the Aid of Generative Models,  IEEE SIGNAL PROCESSING LETTERS, 32 , pp.1495-1499,2025.(SCI)

[57] Zihao Li,  Xiao Du, Ao Xu, Tieru Wu, Yang Cao:Explaining tree ensembles through single decision treesINFORMATION FUSIONVolume123 DOI10.1016/j.inffus.2025.103244, (Early Access)MAY 2025.(SCI

[58] Xiao Du, Ziyou Guo, Zihao Li,  Yang Cao, Xing Chen, Tieru  Wu: VexNet: Vector-Composed Feature-Oriented Neural Network, ELECTRONICS 14 (9), May 7 2025. (SCI)




 



社会兼职


1. 中国工业与应用数学学会几何设计与计算专业委员会委员

2. 中国计算机学会计算机辅助设计与图形学专业委员会委员

3. 中国高等教育学会教育数学专业委员会常务理事

4. 中国工业与应用数学学会大数据和人工智能专业委员会委员

5. 中国数学会计算机数学专业委员会委员

6.《计算机辅助设计与图形学学报》编委

7. 中国计算机学会杰出会员

8. 中国电子企业协会人才交流合作分会专家


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