[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]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.
[3]Wu Tieru and Zhou Yunshi, On blending of several quadratic algebraic surfaces, CAGD 17(2000), 759.-766,2000 (SCI).
[4]Wu Tieru and Cheng Honglu, Basic Lines, Axes and Geometric Modeling on Implicit Algebraic Surfaces, JCAM， Vol 195/1-2 212-219，2006（SCI）。
[5]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)
[6]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).
[7]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)
[8]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 .
[9]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).
[10]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)
[11]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)
[12]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)
[13]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)
[14]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）
[15]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）
[16]Xue Jiao, Tieru Wu, A visual consistent adaptive image thresholding method, Image Science Journal, Vol.64, No.1, 34-49, Jan 2016.（SCI）
[17]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）
[18]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）
[19]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）
[20]Ruifeng Wu, Huilai Li, Tieru Wu*, Univariate Lidstone-type multiquadric quasi-interpolants, Computational and Applied Mathematics 39（3），141-159，(2020). （SCI）
[21]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）
[22]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)
[23]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.
[24]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)
[25]Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang,Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships， Proceedings of Machine Learning Research, (ICML2023)v202, pp 11905-11933, 2023.（CCF A）
[26]Jingzhao Xu,Mengke Yuan, Dong-Ming Yan, Tieru Wu， Deep unfolding multi-scale regularizer network for image denoising，COMPUTATIONAL VISUAL MEDIA，9(2), 335-350,DOI:10.1007/s41095-022-0277-5,JUN 2023.(SCI)
[27]Cong Wang, Fan Tang, Yong Zhang, Tieru Wu, Weiming Dong, Towards harmonized regional style transfer and manipulation for facial images, COMPUTATIONAL VISUAL MEDIA，9 (2) , pp.351-366, DOI:10.1007/ s41095-022-0284-6,JUN 2023.（SCI）
[28]Shuangmei Wang, Rui Ma, Tieru Wu, Yang Cao,P3DC-shot: Prior-driven discrete data calibration for nearest-neighbor few-shot classification，IMAGE AND VISION COMPUTING, 136, DOI:10.1016/ j.imavis.2023.104736,AUG 2023. （SCI）
[29]Chuan Jin, Tieru Wu*, Junsheng Zhou:Multi-grid representation with field regularization for self-supervised surface reconstruction from point clouds，COMPUTERS & GRAPHICS-UK，Volume 114, Page 379-386,DOI:10.1016/j.cag.2023.06.016,AUG 2023.（SCI）
[30]Bowen Xu, Yinan Lu, Tieru Wu, Xiaoxin Guo, The Novel Instance Segmentation Method Based on Multi-Level Features and Joint Attention，CHINESE JOURNAL OF ELECTRONICS，32(5), pp.1160-1168，DOI: 10.23919/cje.2021.00.226,SEP 2023.（SCI）
[31]Jingzhao Xu, Mengke Yuan, Dong-Ming Yan, Tieru Wu, Illumination Guided Attentive Wavelet Network for Low-Light Image Enhancement，IEEE TRANSACTIONS ON MULTIMEDIA, Volume 25, pp.6258-6271, DOI:10.1109/TMM.2022.3207330,2023（SCI）
[32]Linlian Jiang, Pan Chen, Ye Wang, Tieru Wu, Rui Ma,P2M2-Net: Part-Aware Prompt-Guided Multimodal Point Cloud Completion，COMPUTER-AIDED DESIGN AND COMPUTER GRAPHICS, CAD/GRAPHICS 2023，14250, pp.348-365，DOI:10.1007/978-981-99-9666-7_23,2024.
[33]Ziyou Guo, Zhen Huang, Wenyong Gong, Tieru Wu,，Wave-PCT: Wavelet point cloud transformer for point cloud quality assessment，EXPERT SYSTEMS WITH APPLICATIONS，Volume 257,DOI 10.1016/ j.eswa. 2024. 125039，JAN 10 2024.（SCI）
[34]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）
[35]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.184-198，DOI:10.1007/978-3-031-72341-4_13, 2024.
[36]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.215-229，DOI:10.1007/978-3-031-72341-4_15,2024.
[37]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.
[38]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 124，DOI:10.1016/j.cag. 2024.104081，NOV 2024. (SCI)
[39]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）
[40]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）
[41]Jiaxing He, Bingzhe Hou, Tieru Wu, Yue Xin,
Mix-GENEO: A flexible filtration for multiparameter persistent homology detects digital images,AIMS MATHEMATICS 10(10), pp.24153-24178,2025.(SCI）
[42]Tongyuan Bai,Wangyuanfan Bai,Dong Chen, Tieru Wu, Manyi Li,Rui Ma, FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts,2025 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR,Page5893-5903,2025.(CCF A )
[43]Zhipeng Yuan,Kai Wang,Weize Quan,Dong-Ming Yan, Tieru Wu,CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection, ACM,PROCEEDINGS OF THE 1ST DEEPFAKE FORENSICS WORKSHOP: DETECTION, ATTRIBUTION, RECOGNITION, AND ADVERSARIAL CHALLENGES IN THE ERA OF AI-GENERATED MEDIA, DFF 2025,Page3-11,2025.
[44]Dawei Lin, Meng Yuan, Ziming Wang, Tieru Wu,Yuanning Liu,FreeCAD: A Multimodal Framework for 3D CAD Model Generation from Free-Form Prompts, PROCEEDINGS OF THE 33RD ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2025, Page1948-1956DOI10.1145/ 3746027.3755550,2025.(CCF A)
[45]Zihao Li, Xiao Du, Ao Xu, Tieru Wu, Yang Cao:Explaining tree ensembles through single decision trees，INFORMATION FUSION，Volume123 DOI10.1016/ j.inffus.2025.103244, MAY 2025.(SCI）
[46]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)
[47]Bowei Jiang,Tongyuan Bai,Peng Zheng,Tieru Wu, Rui Ma, Nav2Scene:Navigation-driven fine-tuning for robot-friendly scene generation,GRAPHICAL MODELS
Volume141,DOI10.1016/j.gmod.2025.101287,2025. (SCI)
[48]Xiao Du, Wanli Shi, Xiaohan Zhao,Yang Cao, Bin Gu, Tieru Wu,Raw event-based adversarial attacks for Spiking Neural Networks with configurable latencies, NEURAL NETWORKS, Volume193,DOI10.1016/j.neunet.2025.108026,JAN 2026. (SCI)
[49]Ziyou Guo,Yan Sun,Tieru Wu, SM-TCN: Multi-
Resolution Sparse Convolution Network for Efficient High-Dimensional Time Series Forecast, SENSORS, Volume 25 Issue19,DOI10.3390/s25196013,SEP 30 2025. (SCI)
[50]Ao Xu, Zihao Li,Tieru Wu,Yang Cao,Enhancing the robustness of counterfactual explanations via modular robust compatibility, EXPERT SYSTEMS WITH APPLICATIONS, Volume304,DOI10.1016/j.eswa.2025.130746,APR 1 2026
(Early Access DEC 2025). (SCI)
[51]Ao Xu, Yukai Zhang,Tieru Wu, RA-MD: An RKHS-based adaptive Mahalanobis distance to enhance counter- factual explanations for neural networks,INFORMATION FUSION, Volume129,DOI10.1016/j.inffus.2025.104067, Published MAY 2026(Early Access DEC 2025). (SCI)
[52]Jiaxing He, Bingzhe Hou, Tieru Wu, Yang Cao, Unitary similarity comparison of persistent homology groups,JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, Volume43Issue1,DOI10.1007/s13160-025-00753-y,JAN 31 2026. (SCI)
[53]Ziyou Guo,Yan Sun,Tieru Wu,WEITS: A wavelet-
enhanced residual framework for interpretable time series forecasting, NEUROCOMPUTING, Volume674, DOI10.
1016/j.neucom.2026.132788,Published APR 14 2026. (SCI)
