赵晓伟 （讲师）
研究领域：人工智能与大数据计算、数据挖掘与机器学习
电子邮箱：xiaoweizhao@sxu.edu.cn
个人简介
赵晓伟，博士，主要研究方向为人工智能与大数据计算、数据挖掘与机器学习，聚焦高效聚类分析与可解释表征学习理论与方法研究。2018年在西北大学获计算机应用技术硕士学位，2023年在西北工业大学计算机学院获计算机科学与技术博士学位，2023-2026年在西安电子科技大学高性能电子装备机电集成制造全国重点实验室做助理研究员。 累计发表学术论文30余篇，包括IEEE TPAMI、IEEE TKDE、IEEE TNNLS、IEEE TCYB、IEEE TCSVT、IEEE TIFS、IJCAI等国际知名期刊和会议。主持国家自然科学基金青年项目、国家资助博士后研究人员计划、中央高校基础科研立项等项目。
代表性论文：
[1] Xiaowei Zhao, Linrui Xie, Xiaojun Chang, Feiping Nie, Qiang Zhang. FC²: Fast Co-Clustering with Small-Scale Similarity Graph and Bipartite Graph Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 48, iss. 6, pp. 6570-6586, 2026. (CCF A, SCI 1区 Top, IF: 20.4)
[2] Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li. Fast Locality Discriminant Analysis with Adaptive Manifold Embedding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, iss. 12, pp. 9315-9330, 2022. (CCF A, SCI 1区 Top, IF: 20.4)
[3] Xiaowei Zhao, Feiping Nie, Liuyun Guo, Xiaojun Chang, Qiang Zhang, Jun Guo. Efficient Co-Clustering via Bipartite Graph Factorization. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 38, iss. 3, pp. 1695-1709, 2026. (CCF A, SCI 1区 Top, IF: 11.6)
[4] Feiping Nie, Xiaowei Zhao*, Rong Wang, Xuelong Li, Zhihui Li. Fuzzy K-Means Clustering with Discriminative Embedding. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 34, iss. 3, pp. 1221-1230, 2022. (CCF A, SCI 1区 Top, ESI高被引, IF: 11.6)
[5] Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li. Robust Fuzzy K-Means Clustering with Shrunk Patterns Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 35, iss. 3, pp. 3001-3013, 2023. (CCF A, SCI 1区 Top, IF: 11.6)
[6] Xiaowei Zhao, Xinyu Kou, Yan Chen, Linrui Xie, Qiang Zhang, Liang Du. Multi-view Regression Clustering via Low-Rank Manifold Decomposition, International Joint Conference on Artificial Intelligence(IJCAI). 2026. (CCF B)
[7] Ruida Xi, Zhenyang Fu, Nianchang Huang, Xiaowei Zhao, Qiang Zhang, Jungong Han. CSANet: Cross-Modality Self-Paced Association Network for Unsupervised Visible-Infrared Person Re-Identification. IEEE Transactions on Information Forensics and Security (TIFS), vol. 20, pp. 8672-8686, 2025. (CCF A, SCI 1区 Top, IF: 8.7)
[8] Xiaowei Zhao, Jie Fan, Xiaojun Chang, Feiping Nie, Qiang Zhang, Jun Guo. Scalable Multi-view Regression Clustering for Large-scale Data. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 35, iss. 8, pp. 7439-7454, 2025. (CCF B, SCI 1区 Top, IF: 10.8)
[9] Xiaowei Zhao, Dongming Wu, Feiping Nie, Weizhong Yu, Chen Zhao, Xuelong Li. Nonlinear Locality-Preserving Projections with Dynamic Graph Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 36, iss. 4, pp. 7225-7236, 2025. (CCF B, SCI 1区 Top, IF: 9.7)
[10] Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li. Fast Discriminant Analysis with Adaptive Reconstruction Structure Preserving. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 35, iss. 8, pp. 11106-11115, 2024. (CCF B, SCI 1区 Top, IF: 9.7)
[11] Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li. Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 34, iss. 6, pp. 2753-2766, 2023. (CCF B, SCI 1区 Top, IF: 9.7)
[12] Xiaowei Zhao, Jun Guo, Feiping Nie, Ling Chen, Zhihui Li, Huaxiang Zhang. Joint Principal Component and Discriminant Analysis for Dimensionality Reduction. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, iss. 2, pp. 433-444, 2020. (CCF B, SCI 1区 Top, IF: 9.7)
[13] Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li. Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis. IEEE Transactions on Cybernetics (TCYB), vol. 53, iss. 6, pp. 3574-3587, 2023. (CCF B, SCI 1区 Top, IF: 11.3)
[14] Jingjing Xue, Xiaowei Zhao, Ruhan A, Quanxue Gao, Feiping Nie, Chen Zhao, Xuelong Li. Fuzzy Clustering via Label Transmission. IEEE Transactions on Cybernetics (TCYB), 2025. (CCF B, SCI 1区 Top, IF: 11.3)
[15] Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li. Root Mahalanobis Distance Based Gustafson-Kessel Fuzzy C-Means. Information Sciences, vol. 644, 2023. (CCF B, SCI 2区, IF: 6.0)
[16] Xiaowei Zhao, Weizhong Yu, Feiping Nie, Xuelong Li. Fast Neighborhood Reconstruction with Adaptive Weights Learning. Knowledge-Based Systems (KBS), vol. 259, 2023. (CCF C, SCI 1区 Top, IF: 8.0)
[17] Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li. Improving Projected Fuzzy K-Means Clustering via Robust Learning. Neurocomputing, vol. 491, pp. 34-43, 2022. (CCF C, SCI 2区, IF: 6.7)
[18] Mei Shi, Xiaowei Zhao, Xiaoyan Yin, Yun Xiao, Jun Guo. Deep Self-weighted Multi-view Fuzzy Clustering. Knowledge-Based Systems (KBS), vol. 328, 2025. (CCF C, SCI 1区 Top, IF: 8.0)
[19] Jinlong Qu, Xiaowei Zhao, Yun Xiao, Xiaojun Chang, Zhihui Li, Xuanhong Wang. Adaptive Manifold Graph Representation for Two-Dimensional Discriminant Projection. Knowledge-Based Systems (KBS), vol. 266, 2023. (CCF C, SCI 1区 Top, IF: 8.0)
[20] Fan Niu, Xiaowei Zhao, Jun Guo, Mei Shi, Xiaxiao Liu, Baoying Liu. Fast and Robust Unsupervised Dimensionality Reduction with Adaptive Bipartite Graph. Knowledge-Based Systems (KBS), vol. 276, 2023. (CCF C, SCI 1区 Top, IF: 8.0)
[21] Mei Shi, Xiaowei Zhao, Xiaoyan Yin, Xiaojun Chang, Fan Niu, Jun Guo. Multi-view Latent Structure Learning: Local Structure guided Cross-view Discriminant Analysis. Knowledge-Based Systems (KBS), vol. 276, 2023. (CCF C, SCI 1区 Top, IF: 8.0)
[22] Jing An, Xiaowei Zhao, Mei Shi, Xiaoxia Liu, Jun Guo. Joint Neighborhood Preserving and Projected Clustering for Feature Extraction. Neurocomputing, vol. 488, pp. 572-580, 2022. (CCF C, SCI 2区, IF: 6.7)
科研项目：
[1] 国家自然科学基金青年项目, 62506279, 2026.01-2028.12, 在研, 主持;
[2] 国家资助博士后研究人员计划, GZC20232039, 2024.01- 2025.12, 结题, 主持；
[3] 中央高校基础科研立项, ZYTS24033, 2024.01- 2024.11, 结题, 主持；
[4] 国家自然科学基金面上项目, 62176212, 2022.01-2025.12, 结题, 参与；
[5] 国家自然科学基金青年项目, 61802306, 2019.01-2022.12, 结题, 参与.