王智

2023-12-28 09:03 作者: 审核: 浏览:

 

个人基本信息

    名:王智                                   别:男

    历:博士                                   称:副教授

    门:计算机科学系                   话:

邮件地址:chiw@swu.edu.cn      研究方向:机器学习、最优化理论

 

个人简介

王智,男,先后获得计算机科学与技术学士和硕士学位、统计学博士学位,西南大学计算机与信息科学学院副教授。师从重庆市英才计划.创新创业领军人才、巴渝学者王建军教授,研究方向包括机器学习、高维数据科学和凸/非凸优化理论与应用。近年来主持和参与国家自然科学基金、重庆市自然科学基金、西南大学博士基金等项目10余项;以第一作者/通讯作者身份在包括IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Neural Networks and Learning Systems IEEE Geoscience and Remote Sensing LettersNeurcocomputingSignal ProcessingExpert Systems with ApplicationsInternational Journal of Machine Learning and Cybernetics、计算机科学和IJCNNPRICAIHPCC等国内外重要期刊或会议发表学术论文20余篇。目前担任IEEE Transactions on Neural Networks and Learning SystemsIET Image ProcessingSignal, Image and Video ProcessingMathematical Problems in EngineeringECML/PKDDICASSP等多个SCI期刊和会议的审稿人。主要授课课程包括“计算机算法分析与设计”, “数据结构”,“编译原理”,“数学建模”等计算机专业核心课程。指导学生参加ACM-ICPCCCPC、计算机团体天梯赛等竞赛,获得金奖、银奖和铜奖等多项奖励;参加2022年“高教社杯”全国大学生数学建模竞赛,获得全国一等奖。

研究论文(*表示通讯作者)

[20]. Z Wang, D Hu, Z Liu, C Gao*, Z Wang. Iteratively Capped Reweighting Norm Minimization with Global Convergence Guarantee for Low-Rank Matrix Learning [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.(中科院一区、JCR一区)

[19]. Z Liu, D Hu, and Z Wang*. Efficient Implementation of Truncated Frobenius Norm Minimization for Latent Low-Rank Representation [J]. IEEE Transactions on Consumer Electronics, 2023.(中科院二区、JCR二区)

[18]. Y Shan, D Hu, and Z Wang*. A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024.(中科院一区、JCR一区)

[17]. J Gou*, Y Hu, L Sun, Z Wang, and H Ma. Collaborative Knowledge Distillation via Filter Knowledge Transfer [J]. Expert Systems with Applications, vol. 238, Mar. 2024, Art. no. 121884.(中科院一区、JCR一区)

[16]. Y Shi, T Liu, D Hu, C Li, and Z Wang*. Noconvex Regularization with Mulit-Weighted Strategy for Real Color Image Denoising [J]. International Journal of Intelligent Systems, vol. 2023, Sep. 2023, Art. no. 8813500.(中科院二区、JCR一区)

[15]. Y Huang, Z Wang*, Q Chen, and W Chen. Robust Principal Component Analysis via Truncated L12 Minimization [C]. In Proceedings of 2023 IEEE International Joint Conference on Neural Networks (IJCNN ) , 2023, pp. 1-9. (CCF C)

[14]. T Liu, D Hu, Z Wang*, J Gou, and W Chen. Hyperspectral Image Denoising using Non-convex Fraction Function [J]. IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023, Art. no. 5508105.(中科院二区、JCR一区)

[13]. J Ha, C Li, X Luo, and Z Wang*. Matrix Completion via Modifed Schatten 2/3-norm [J]. EURASIP Journal on Advances in Signal Processing, (2023) 2023:62, pp. 1-19.(中科院四区、JCR三区)

[12]. Z Liu, D Hu, Z Wang*, J Gou, and T Jia. LatLRR for Subspace Clustering via Reweighted Frobenius Norm Minimization [J]. Expert Systems with Applications, vol. 224, Aug. 2023, Art. no. 119977.(中科院一区、JCR一区)

[11]. Y Shan, D Hu, Z Wang*, and T. Jia. Multi-channel Nuclear Norm Minus Frobenius Norm Minimization for Color Image Denoising [J]. Signal Processing, vol. 207, Jun. 2023, Art. no. 108959.(中科院二区、JCR一区)

[10]. Z Wang, Y Liu, X Luo, J Wang*, C Gao, D Peng, and W Chen*. Large-Scale Affine Matrix Rank Minimization with a Novel Nonconvex Regularizer [J]. IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 9, pp. 4661-4675, Sep. 2022.(中科院一区、JCR一区)

[9]. X Luo, H Wu, Z Wang, J Wang, and D Meng*. A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, pp. 9756-9773, Dec. 2022.(中科院一区、JCR一区)

[8]. Q Qu, Z Wang*, and W Chen. Robust Subspace Clustering Based on Latent Low-rank Representation with Weighted Schatten-p Norm Minimization [C]. In Proceedings of the 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2022, pp. 504-515. (CCF C)

[7]. C Huang, Z Wang*, and W Chen. Subspace Clustering Based on Latent Low Rank Representation With Weighted Nuclear Norm Minimization [C]. In Proceedings of 2022 IEEE International Conferences on High Performance Computing and Communications (IEEE-HPCC), 2022, pp.1577-1585. (CCF C)

[6]. Z Wang*, D Hu, X Luo, W Wang, J Wang, and W Chen. Performance guarantees of transformed schatten-1 regularization for exact low-rank matrix recovery [J]. International Journal of Machine Learning and Cybernetics, vol. 12, pp. 3379–3395, Jun. 2021.(中科院三区、JCR二区)

[5]. Z Wang*, C Gao, X Luo, M Tang, J Wang, and W Chen. Accelerated inexact matrix completion algorithm via closed-form q-thresholding (q = 1/2, 2/3) operator [J]. International Journal of Machine Learning and Cybernetics, vol. 11, pp. 2327–2339, Apr. 2020.(中科院三区、JCR二区)

[4]. Z Wang, W Wang, J Wang*, and S Chen. Fast and efficient algorithm for matrix completion via closed-form 2/3-thresholding operator [J]. Neurocomputing, vol. 330, pp. 212-222, Feb. 2019.(中科院二区、JCR一区)

[3]. W Wang, F Zhang, Z Wang, and J Wang*. Coherence-Based Robust Analysis of Basis Pursuit De-Noising and Beyond [J]. IEEE Access, vol. 7, pp. 173216-173229, Nov. 2019.(中科院三区、JCR二区)

[2]. Z Wang, J Wang*, W Wang, C Gao, and S Chen.  A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov’s Rule [J]. IEEE Access, vol. 6, pp. 58119-58131, Oct. 2018.(中科院三区、JCR二区)

[1]. 王智, 王建军*, 王文东. 基于子空间阈值追踪的矩阵修补算法[J]. 计算机科学, 2018, 45(6):193-196. (中文核心)

 

科研项目

8. 国家自然科学基金委员会,面上项目,62372385面向新型配电网的异质图表示学习方法及应用研究2024-012027-12,在研,主研

7. 西南大学博士基金,SWU120036,基于分式Lq正则化的低秩矩阵恢复理论与应用,2021-032021-12,主持

6. 中央科研业务费专项资金项目,XDJK2018C047,基于Lq正则化的矩阵补全理论、算法及应用,2018-032019-12,结题,主持

5.国家自然科学基金委员会,面上项目,61973258,分数阶多层复杂动态网络的同步与状态估计,2020-012023-12,在研,主研

4.国家自然科学基金委员会,面上项目,11671326,抛物系统的能稳性相关问题,2017-012020-12,结题,主研

3.国家自然科学基金委员会,面上项目,61673015,基于样本的非线性压缩感知理论及其应用,2016-032019-12,结题,主研

2. 重庆市自然科学基金,cstc2013jcyjA40022基于面向自治的网络免疫与传播网络推演机制研究,2016-032018-12,结题,主研

1.国家自然科学基金委员会,青年基金,61003203,基于回答集程序的有限理性协商机制研究,2011-012013-12,结题,主研