个人简历

丁数学 2014年天津市千人计划（创新短期）入选者，2015年起兼任南开大学光学与电子信息工程学院讲座教授，博士生导师。1996年获日本东京工业大学博士学位。曾任日本会津大学终身教授，认知科学研究室主任，计算机与系统工程系主任，会津大学教育与研究审议会委员等职务。曾多年兼任日本理化学研究院脑科学研究中心客员研究员。IEEE Systems, Man & Cybernetics Society, Awareness Computing技术委员会委员及主要发起人之一。2019年3月受聘为桂林电子科技大学人工智能学院院长全职回国工作。
主要从事人工智能，机器学习，信号及图像处理，神经计算，大数据，信息通信，传感及阵列天线，MIMO系统等方面的研究。在日期间曾主持日本学术振兴会（JSPS）科学研究基金项目（相当于中国国家自然科学基金项目）4项。共发表论文130篇；其中期刊论文77篇，包括57篇SCI检索期刊论文，20篇IEEE Internet of Things Journal , IEEE Transactions on Neural Networks and Learning Systems , IEEE Transactions on Signal Processing等重要IEEE期刊论文；国际会议论文53篇，大部分是IEEE赞助的国际会议。获得2015 EEE International Conference on Digital Signal Processing (DSP 2015, July 21‐24, 2015, Singapore) 最优秀论文奖等奖。
教育背景：
1979.9‐1983.7
大连理工大学
物理与光电工程学院（应用物理）
本科
学士
1986.9‐1988.12
大连理工大学
物理与光电工程学院（理论物理）
硕士研究生
硕士
1993.4‐1996.3
东京工业大学
理学部（物理学）
博士研究生
博士

工作简历：

1983.8-1986.8
大连理工大学物理与光电工程学院
助教
1989.1-1991.8
大连理工大学物理与光电工程学院
讲师
1991.9-1993.3
大连理工大学物理与光电工程学院
副教授
1996.8-1998.3
Fujisoft-ABC, Co., Ltd.（日本）
工程师
1998.4-2003.4
Clarion Co., Ltd., Research Lab（日本）
高级工程师
2005.5-2011.3
会津大学计算机理工学部（研究生院所属：计算机与系统工程系）
副教授
2005.10-2019.3
会津大学计算研究生院：计算机与系统工程系
博士生指导教师
2011.4-2019.3
会津大学计算机理工学部（研究生院所属：计算机与系统工程系）
教授（终身），认知科学教研室主任
2016.4-2019.3
会津大学研究生院：计算机与系统工程系
系主任
2016.4-2019.3
会津大学
教育研究审议会委员(大学最终决策机构)
2015.9-2019.3
南开大学电子信息与光学工程学院(兼), 天津千人计划创新短期
讲座教授，博导
2019.3-现在
桂林电子科技大学人工智能学院
教授，创院院长，博导（信息与通信工程）

研究领域

Research Interests
Compressive sensing and sparse representation, machine learning.
- Deep Learning and Reinforcement Learning; Sparse Representation and Compressive Sensing; Independent
Component Analysis (ICA) and Blind Source Separation (BSS), etc.
- DSP 2015 Best Paper Award; iCAST 2015 Best Student Paper Award.
- 5 Japanese patents patented.""

近期论文

Peer-Reviewed Journal Publications
[1] Xinyi Wang, Wenlong Liu, Shuxue Ding, et al. Low-Complexity Multistage Optimal Detection for SVD-Based Hybrid Millimeter Wave MIMO Systems, accepted by IEEE Transactions on Vehicular Technology (Jun. 2020)
[2] Yingxin Zhao, Shuxue Ding, et al, THz wireless communication system based on wavelet transform, accepted by International Journal of Communication Systems (May 2020)
[3] Huakun Huang, Shuxue Ding, Lingjun Zhao, Huawei Huang, Liang Chen, Real-Time Fault-Detection for IIoT Facilities using GBRBM-based DNN, accepted by IEEE Internet of Things Journal (Oct. 2019)
[4] Lingjun Zhao, Chunhua Su*, Zeyang Dai, Huakun Huang, Shuxue Ding*, Xinyi Huang, and Zhaoyang Han, Indoor Device-Free Passive Localization with DCNN for Location-Based Services, Journal of Supercomputing, [Online available] https://doi.org/10.1007/s11227-019-03110-2 (Dec. 2019)
[5] Xinyi Wang, Wenlong Liu, Minglu Jin, and Shuxue Ding, Parameter-free Landweber Iteration Method for Robust Adaptive Beamforming, Circuits, Systems, and Signal Processing, Vol. 39, pp. 2716-2729, (May 2020)
[6] Lingjun Zhao, Huakun Huang, Xiang Li, Shuxue Ding*, Haoli Zhao, and Zhaoyang Han, An Accurate and Robust Approach of Device-Free Localization with Convolutional Autoencoder, IEEE Internet of Things Journal, Vol. 6, No. 3, pp.5825-5840 (Jun. 2019).
[7] Menghuan Yang, Hong Wu*, Zhiyang Liu, Shuxue Ding, Hongzhao Peng, Indoor Positioning Using public FM and DTMB Signals Based on Compressive Sensing, China Communications, Vol. 16, No. 5, pp.171-180 (May 2019).
[8] Lingjun Zhao, Chunhua Su, Huakun Huang, Shuxue Ding*, Zhaoyang Han, Xiang Li, Intrusion Detection based on Device-Free Localization in the Era of IoT, Symmetry 2019, 11, 630; doi:10.3390/sym11050630 (May 2019).
[9] Huakun Huang, Zhaoyang Han, Shuxue Ding*, Chunhua Su* and Lingjun Zhao, Improved Sparse Coding Algorithm with Device-Free Localization Technique for Intrusion Detection and Monitoring, Symmetry 2019, 11, 637; doi:10.3390/sym11050637 (May. 2019).
[10] Haoli Zhao, Shuxue Ding*, Xiang Li, and Huakun Huang, Lp-Norm Independently Interpretable Regularization Based Sparse Coding for Highly Correlated Data, IEEE Access, Vol. 7, No. 1, pp. 53542-53554 (Apr. 2019).
[11] Yujie Li*, Shuxue Ding, Xiang Li, Benying Tan, and Atsunori Kanemura, Residual-Network-Based Supervised Gaze Prediction for First-Person Videos, IEEE Access, Vol. 7, No. 1, pp. 56208 - 56216 (Apr. 2019).
[12] Yujie Li, Shuxue Ding, Benying Tan, Haoli Zhao, and Zhenni Li*, Sparse Representation Based on the Analysis Model with Optimization on the Stiefel Manifold, IEEE Access, Vol. 7, No. 1, pp. 8385-8397 (Jan. 2019).
[13] Jian Zou, Marui Shen, Haifeng Li, Guoqi Liu, and Shuxue Ding*, Total Variation Denoising with Non-convex Regularizers, IEEE Access, Vol. 7, No. 1, pp. 4422-4431 (Jan. 2019).
[14] Haoli Zhao, Shuxue Ding*, Xiang Li, and Huakun Huang, Deep Neural Network Structured Sparse Coding for Online Processing, IEEE Access, Vol. 6, No. 1, pp. 74778-74791 (Dec. 2018).
[15] Benying Tan, Shuxue Ding*, Yujie Li, and Xiang Li, Nonnegative Sparse Representation of Signals with a Determinant-Type Sparsity Measure Based on the DC Programming, IEEE Access, Vol. 6, No. 1, pp. 67301-67315 (Nov. 2018)
[16] Huakun Huang, Haoli Zhao, Xiang Li, Huawei Huang, Shuxue Ding*, Zhenni Li, and Lingjun Zhao, An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace, IEEE Access, Vol. 6, No. 1, pp. 61782-61799 (Oct. 2018)
[17] Zhiyang Liu, Chen Cao, Shuxue Ding, Tong Han, Hong Wu, Sheng Liu, Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network, IEEE Access, Vol. 6, No. 1, pp. 57006 – 57016 (Oct. 2018).
[18] Xiang Li, Shuxue Ding, and Benying Tan, Accurate Defect Detection in Thin-Wall Structures with Transducer Networks via Outlier Elimination, IEEE Sensors Journal, Vol. 18, No. 23, pp. 9619-9628 (Dec. 2018).
[19] Zhenni Li, Shuxue Ding, Zuyuan Yang, Shengli Xie, Proximal Alternating Minimization for Analysis Dictionary Learning and Convergence Analysis, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 2, No. 6, pp. 439-449 (Dec. 2018).
[20] Benying Tan, Yujie Li, Shuxue Ding, Incheon Paik, and Atsunori Kanemura, DC programming for solving a sparse modeling problem of video key frame extraction, Digital Signal Processing (Elsevier, SCI), Vol. 83, December 2018, pp. 214-222 (Dec. 2018).
[21] Yingxin Zhao, Xiuying Hao, Zhiyang Liu, Hong Wu, and Shuxue Ding, Resource Block Filtered-OFDM as a Multi-Carrier Transmission Scheme for 5G, Computers and Electrical Engineering (Elsevier, SCI), Vol. 72 (2018), pp. 543-552 (Nov. 2018).
[22] Zhenni Li, Takafumi Hayashi, Shuxue Ding, Yujie Li, Dictionary learning with the l(1/2)-regularizer and the coherence penalty and its convergence analysis, International Journal of Machine Learning and Cybernetics, Vol. 9, No. 8, pp. 1351-1364 (Aug. 2018).
[23] Yujie Li, Benying Tan, Atsunori Kanemura, Shuxue Ding, Wuhui Chen, Analysis sparse representation for nonnegative signals based on determinant measure by dc programming, Complexity (SCI), Volume 2018, Article ID 2685745, 12 pages doi.org/10.1155/2018/2685745 (Apr. 2018).
[24] Zhenni Li, Shuxue Ding, Yujie Li, Zuyuan Yang, Shengli Xie, Wuhui Chen, Manifold Optimization-based Analysis Dictionary Learning with an L1/2-norm Regularizer Learning Systems, Neural Networks (SCI), Vol. 98, No. 2. pp. 212-222 (Feb. 2018).
[25] Zhiyang Liu, Yingxin Zhao, Hong Wu, Shuxue Ding, Group Sparse Precoding for Cloud-RAN with Multiple User Antennas, Entropy (SCI), Vol. 20, No. 2, Article No. 144, pp. 1-15; doi:10.3390/e20020144 (Feb. 2018).
[26] Yingxin Zhao, Zhiyang Liu, Yuanyuan Wang, Hong Wu, and Shuxue Ding, Sparse Coding Algorithm with Negentropy and Weighted L1-Norm for Signal Reconstruction, Entropy (SCI)，2017, 19 (11), 599, pp. 1-11; doi:10.3390/e19110599 (Nov. 2017).
[27] Xiang Li, Shuxue Ding, and Yujie Li, Outlier Suppression via Non-Convex Robust PCA for Efficient Localization in Wireless Sensor Networks, IEEE Sensors Journal (SCI), Vol. 17, No. 21, pp. 7053-7063 (Nov. 2017).
[28] Xiang Li, Shuxue Ding, Zhenni Li, and Benying Tan, Device-Free Localization via Dictionary Learning with Difference of Convex Programming, IEEE Sensors Journal (SCI), Vol. 17, No. 17, pp. 5599-5608 (Sept. 2017).
[29] Zhenni Li, Shuxue Ding, Takafumi Hayashi, and Yujie Li, Analysis Dictionary Learning Using Block Coordinate Descent with Proximal Operators, Neurocomputing (Elsevier, SCI), Vol. 239, C, pp. 165-180 (May. 2017).
[30] Zhenni Li, Takafumi Hayashi, Shuxue Ding, and Yujie Li, Dictionary Learning with the L1/2-regularizer and the Coherence Penalty and Its Convergence Analysis, International Journal of Machine Learning and Cybernetics (SCI), Vol. 9, No. 8, pp. 1351-1364, doi:10.1007/s13042-017-0649-9, (Mar. 2017).
[31] Zhenni Li, Shuxue Ding, Takafumi Hayashi, and Yujie Li, Incoherent Dictionary Learning with Log-regularizer Based on Proximal Operators, Digital Signal Processing (Elsevier, SCI), Vol. 63, No. 4, pp. 86-99 (Jan. 2017).
[32] Yujie Li*, Shuxue Ding, and Zhenni Li, Dictionary Learning with the Cosparse Analysis Model Based on Summation of Blocked Determinants as the Sparseness Measure, Digital Signal Processing (Elsevier, SCI), Vol. 48, No. 10, pp. 298-309 (Oct. 2016).
[33] Guinan Wang, Hongjuan Zhang*, Shiwei Yu, and Shuxue Ding*, A Family of the Subgradient Algorithm with Several Cosparsity Inducing Functions to the Cosparse Recovery Problem, Pattern Recognition Letters (SCI), Vol. 80, pp. 64-69 (Sept. 2016).
[34] Pingmei Cai, Guinan Wang, Hongjuan Zhang*, Shuxue Ding*, and Zikai Wu, Sparse Electrocardiogram Signals Recovery Based on Solving a Row Echelon-Like Form of System, IET Systems Biology (SCI), Vol. 10, No. 1, pp. 34-40, doi: 10.1049/iet-syb.2015.0002 (Feb. 2016).
[35] Yujie Li*, Shuxue Ding, Zhenni Li, and Wuhui Chen, Nonnegative Dictionary-Learning Algorithm Based on L1 Norm with the Sparse Analysis Model, Information Engineering Express (International Institute of Applied Informatics), Vol. 1, No.4, pp. 1 – 10 (Oct. 2015).
[36] Zhenni Li*, Shuxue Ding, and Yujie Li, A Fast Algorithm for Learning Overcomplete Dictionary for Sparse Representation Based on Proximal Operators, Neural Computation (SCI), Vol. 27, pp. 1951–1982, doi:10.1162/NECO_a_00763 (Sept. 2015).
[37] Hongjuan Zhang, Guinan Wang, Pingmei Cai, Zikai Wu, and Shuxue Ding*, A Fast Blind Source Separation Algorithm Based on the Temporal Structure of Signals, Neurocomputing (Elsevier, SCI), Vol. 139, No. 9, pp. 261-271 (Sept. 2014).
[38] Yan Sun, Ying Bai, Shuxue Ding, Yi-Yuan Tang, Yifen Cui, and Yan Wang, Intelligent Diagnostic System for Cerebrovascular Diseases Based on a Bayesian Network with Information Gain, International Journal of Innovative Computing, Information and Control, Vol. 9, No. 11, pp. 4545-4554 (Nov. 2013).
[39] Zhenni Li, Changshui Yu, Shuxue Ding, and Zunyi Tang, Nondestructive Probing Scheme of Quantum State without Quantum Correlation, International Journal of Theoretical Physics (SCI), Vol. 52, No. 10, pp. 3676-3682, doi:10.1007/s10773-013-1673-5 (Oct. 2013).
[40] Zunyi Tang, Shuxue Ding, Zhenni Li, and Linlin Jiang, Dictionary Learning Based on Nonnegative Matrix Factorization Using Parallel Coordinate Descent, Abstract and Applied Analysis, Vol. 2013, Article ID 259863, 11 pages, doi:10.1155/2013/259863 (June 2013).
[41] Xiaohong Ma, Shuxue Ding, Liangsheng Wei, and Jie Yang, Blind Identification of Underdetermined Mixing Matrix and Source Separation by Finding and Solving a Row Echelon-Like Form of System in the Time-Frequency Domain, ICIC Express Letters, Part B: Applications (Ei Compendex, Scopus), Vol. 4, No. 3, pp.739-746 (Jun. 2013).
[42] Zunyi Tang and Shuxue Ding*, Dictionary Learning with Incoherence and Sparsity Constraints for Sparse Representation of Nonnegative Signals, IEICE Transactions on Information and Systems (SCI Journal List), Vol. E96-D, No. 5, pp.1192-1203, doi: 10.1587/transinf.E96.D.1192 (May 2013).
[43] Yan Sun and Shuxue Ding, An Enhanced Wu-Huberman Algorithm with Pole Point Selection Strategy, Abstract and Applied Analysis, Vol. 2013, Article ID 589386, 6 pages, doi:10.1155/2013/589386 (May 2013).
[44] Zunyi Tang and Shuxue Ding*, A Method of Sparse Nonnegative Matrix Factorization for Feature Extraction, ICIC Express Letters, Part B: Applications (EI Compendex, Scopus), Vol. 3, No. 6, pp. 1557-1564 (Dec. 2012).
[45] Zuyuan Yang, Yong Xiang, Shengli Xie, Shuxue Ding*, and Yue Rong, Nonnegative blind source separation by sparse component analysis based on determinant measure, IEEE Transactions on Neural Networks and Learning Systems (SCI), Vol. 23, No. 10, pp.1601-1610 (Oct. 2012).
[46] Xuan Guo, Yoshiyuki Toyoda, Huankang Li, Jie Huang, Shuxue Ding, and Yong Liu, Environmental Sound Recognition Using Time-Frequency Intersection Patterns, Applied Computational Intelligence and Soft Computing, Vol. 2012, Article ID 650818, 6 pages doi : 10.1155/2012/650818 (Apr. 2012).
[47] Zunyi Tang, Shuxue Ding*, and Zuyuan Yang, Dictionary Learning for Sparse Representation by Nonnegative Matrix Factorization with Constraint of Determinant-Type of Maximization, ICIC Express Letters (EI Compendex, Scopus), Vol. 6, No. 2, pp. 509-515 (Feb. 2012).
[48] Zunyi Tang, Zuyuan Yang and Shuxue Ding*, A New Dictionary Learning Method for Sparse Representation, ICIC Express Letters (EI Compendex, Scopus), Vol. 5, No. 5, pp. 1535-1540 (May. 2011).
[49] Wenlong Liu, Qian Liu, Minglu Jin and Shuxue Ding*, An Iterative Algorithm for Joint Beamforming and DoA Estimation, International Journal of Innovative Computing, Information and Control (ISSN: 1349-4198), Vol. 7, No. 5(B), pp. 3019-3032 (May 2011).
[50] Zuyuan Yang, Guoxu Zhou, Shengli Xie, Shuxue Ding*, Jun-Mei Yang, and Jun Zhang, Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization, IEEE Transactions on Image Processing (SCI), Vol. 20, No. 4, pp. 1112-1125 (Apr. 2011).
[51] Yan Sun, Yiyuan Tang, Shuxue Ding, Shipin Lv, Yifen Cui, Diagnose the mild cognitive impairment by constructing Bayesian network with missing data, Expert Systems with Applications (Elsevier) (SCI), Vol. 38, No. 1, pp. 442–449 (Jan. 2011).
[52] Zuyuan Yang, Guoxu Zhou, Shuxue Ding* and Shengli Xie, Nonnegative Blind Source Separation by Iterative Volume Maximization with Fully Nonnegativity Constraints, ICIC Express Letters (EI Compendex, Scopus), Vol. 4, No. 6(B), pp. 2329-2334 (Dec. 2010).
[53] Zuyuan Yang, Shuxue Ding*, and Shengli Xie, Blind Source Separation by Fully Nonnegative Constrained Iterative Volume Maximization, IEEE Signal Processing Letters (SCI), Vol. 17, No. 9, pp. 799-802 (Sept. 2010).
[54] Wenlong Liu and Shuxue Ding*, Performance Analysis of the Iterative Decision Method for Optimal Multiuser Detection, ICIC Express Letters (EI Compendex, Scopus), Vol.3, No.3 (B), pp. 615-620 (Sept. 2009).
[55] Wenlong Liu and Shuxue Ding*, The Diagonal Loading Beamformers for the PAM Communication Systems, International Journal of Innovative Computing, Information and Control (ISSN: 1349-4198), Vol. 5, No. 9, pp. 2907-2916 (Sept. 2009).
[56] Takahiro Haneda and Shuxue Ding*, Pseudo Online Independent Component Analysis for Dynamical Mixing Using Gradient-Optimization, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.13, No.3, pp.275-283 (May 2009).
[57] Wenlong Liu and Shuxue Ding, An Efficient Method to Determine the Diagonal Loading Factor Using the Constant Modulus Feature, IEEE Transactions on Signal Processing (SCI), Vol. 56, No.12, pp. 6102-6106 (Dec. 2008).
[58] Shuxue Ding, Independent Component Analysis via Learning Updating Using a Form of Orthonormal Transformation Based on the Diagonalization Principle, International Journal of Innovative Computing, Information and Control (ISSN: 1349-4198), Vol. 3, No. 5, pp.1219-1235 (Oct. 2007).
[59] Zhaoshui He, Shengli Xie, Shuxue Ding and Andrzej Cichocki, Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation, IEEE Transactions on Audio, Speech and Language Processing (SCI), Vol.15, No.5, pp. 1551-1563 (Jul. 2007).
[60] Shuxue Ding, Jie Huang, Daming Wei and Andrzej Cichocki, A Near Real-Time Approach for Convolutive Blind Source Separation, IEEE Transactions on Circuits and Systems, Part I: Regular Papers (SCI), Vol.53, No.1, pp. 114-128 (Jan. 2006).
[61] Shuxue Ding, Andrzej Cichocki, Jie Huang and Daming Wei, Blind Source Separation of Acoustic Signals in Realistic Environments Based on ICA in the Time-Frequency Domain, International of Journal of Pervasive Computing and Communications, Vol.1, No.2, pp. 89-99 (Jun. 2005).
[62] Wenxi Chen, Daming Wei, Shuxue Ding, Michael Cohen, Hui Wang, Shigeru Tokinoya and Naotoshi Takeda, A Scalable Mobile Phone-Based System for Multiple Vital Signs Monitoring and Healthcare, International of Journal of Pervasive Computing and Communications, Vol.1, No.2, pp.157-163 (Jun. 2005).
[63] Shuxue Ding, Jie Huang and Daming Wei, Real-Time Blind Source Separation of Acoustic Signals with a Recursive Approach. International Journal of Computational Intelligence and Applications, Vol. 4, No. 2, pp.193-206 (Jun. 2004).
[64] Shuxue Ding, Xin Zhu, Wenxi Chen, Daming Wei, Derivation of Respiratory Signal from Single-Channel ECGs Based on Source Statistics, International Journal of Bioelectromagnetism, Vol.6, No.2, pp.43-49 (Feb. 2004).
[65] Shuxue Ding, Evolution and Fate of Perturbed Bartnik-McKinnon Space-time, Physics Letters B (SCI), Vol.370 B, pp.22-28 (Jul. 1996).
[66] Shuxue Ding, Yasushige Maeda, and Masaru Siino, Four Dimensional Quantum Topology Changes of Spacetimes, Journal of Mathematical Physics (SCI), Vol.37, pp.5611-5626 (May 1996).
[67] Shuxue Ding, Yasushige Maeda, and Masaru Siino, Topology Changes by Quantum Tunneling in Four Dimensional Gravity, Physics Letters B (SCI), Vol.354 B, pp.46-51 (Jul. 1995).
[68] Shuxue Ding, Cosmological Sphaleron from Real Tunneling and Its Fate, Physical Review D (SCI), Vol.50, pp.3755-3759 (Nov. 1994).
[69] Ing An, Shuxue Ding, and He-Shan Song, Charged Vortices in an Abelian Higgs Model with Chern-Simons Term at Finite Temperature, Communications in Theoretical Physics (SCI) , Vol.20, pp.231-238 (Aug. 1993).
[70] Shuxue Ding, Topology Changing Solutions of (2+1)-dimensional Einstein-Cartan Theory, Classical and Quantum Gravity (SCI), Vol.10, pp. 851-858 (May 1993).
[71] Akio Hosoya and Shuxue Ding, Wick Rotation in Topology Change by Tunneling in (2+1)-dimensional Einstein Gravity, Vistas in Astronomy, Vol.37, pp.617-620 (Mar. 1993).
[72] Shuxue Ding, He-Shan Song, and Ing An, Anyon Solution of an Abelian Gauge Field Coupling with Torsion, Communications in Theoretical Physics (SCI), Vol.19, pp.357-360 (Mar. 1993).
[73] Akio Hosoya and Shuxue Ding, Topology Change by Tunneling in Semi-classical Einstein Gravity-Time Slice in (2+1)-Dimensional Toy Model, Classical and Quantum Gravity (SCI), Vol.10, pp.695-701 (Feb. 1993).
[74] He-Shan Song, Shuxue Ding, and Ing An, Statistical Mechanical Properties of the q-Oscillator System, Journal of Physics A (SCI), Vol.A 26, pp.5197-5205 (Jan. 1993).
[75] He-Shan Song, Shuxue Ding, and Ing An, Chern-Simons Gauge Theory and Ginzburg- Landau Type Theories 2. Non-abelian Cases, Communications in Theoretical Physics (SCI), Vol.18, pp.353-356 (Sept. 1992).
[76] He-Shan Song, Shuxue Ding, and Ing An, Chern-Simons Gauge Theory and Ginzburg- Landau Type Theories 1: Abelian Cases, Communications in Theoretical Physics (SCI), Vol.17, pp.381-384 (Mar. 1992).
[77] Shuxue Ding, He-Shan Song, and Ing An, Chern-Simons Gauge Theory and Anyon at Finite Temperature, Communications in Theoretical Physics (SCI), Vol.16, pp.325-330 (Sept. 1991).
[78] Shuxue Ding, He-Shan Song, and Ing An, Gravitational Correction to Hyperfine Structure, Communications in Theoretical Physics (SCI), Vol.13, pp.533-542 (Apr. 1990).
Peer-Reviewed Conference Publications
[79] Lingjun Zhao, Huakun Huang, Shuxue Ding, Xiang Li, An Accurate and Efficient Device-Free Localization Approach Based on Gaussian Bernoulli Restricted Boltzmann Machine, Proc. the 2018 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018, Miyazaki, Japan, Oct. 7-10, 2018), pp. 2323-2328.
[80] Shiori Ishikuro, Shuxue Ding, Xiang Li, Overcomplete Dictionary Learning for Nonnegative Sparse Representation with an lp-norm Constraint Based on Majorize-Minimization, Proc. the 2018 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018, Miyazaki, Japan, Oct. 7-10, 2018), pp. 3341-3346.
[81] Yujie Li, Shuxue Ding, Zhenni Li, Xiang Li, Benying Tan, Dictionary learning in the analysis sparse representation with optimization on Stiefel manifold, Proc. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP 2017, Montreal, QC, Canada, Nov. 14-16, 2017), pp. 1270-1274 (Nov. 2017).
[82] Yujie Li, Benying Tan, Shuxue Ding, Incheon Paik and Atsunori Kanemura, “Key frame extraction from video based on determinant-type of sparse measure and DC programming,” Proc. 2017 IEEE 11th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC, Seoul, South Korea, Sept. 18-20, 2017), pp. 174-180 (Sept. 2017).
[83] Peng Zhang, Xiaohong Ma, and Shuxue Ding, Audio Source Separation from a Monaural Mixture Using Convolutional Neural Network in the Time Domain, Lecture Notes in Computer Science, Vol. 10262, (14th International Symposium on Neural Networks, ISNN 2017, Sapporo and Muroran, Hokkaido, Japan, June 21–26, 2017, Part II), pp. 388-395.
[84] Linlin Chen, Xiaohong Ma, and Shuxue Ding, Single Channel Speech Separation Using Deep Neural Network, Lecture Notes in Computer Science, Vol. 10261, (14th International Symposium on Neural Networks, ISNN 2017, Sapporo and Muroran, Hokkaido, Japan, June 21–26, 2017, Part I), pp. 285-292.
[85] Zhuangguo Miao, Xiaohong Ma, and Shuxue Ding, Phase Constraint and Deep Neural Network for Speech Separation, Lecture Notes in Computer Science, Vol. 10262, (14th International Symposium on Neural Networks, ISNN 2017, Sapporo and Muroran, Hokkaido, Japan, June 21–26, 2017, Part II), pp. 266-273.
[86] Benying Tan, Yujie Li, Shuxue Ding, and Xiang Li, Recovering Nonnegative Sparse Signals with a Determinant-Type of Sparse Measure and DC Programming, Proc. IEEE International Conference on Applied Computer and Communication Technologies (IEEE ComCom 2017, April 24-25, 2017, Jakarta, Indonesia).
[87] Xiang Li, Shuxue Ding, Zhenni Li, Haoli Zhao, and Benying Tan, Defect Detection on Thin- Wall Structure via Dictionary Learning, Proc. 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2017, May 22-25, 2017, Torino, Italy), pp. 1806-1811.
[88] Haoli Zhao, Shuxue Ding, Yujie Li, Zhenni Li, Xiang Li and Benying Tan, Dictionary Learning for sparse representation using weighted l1-norm, Proc. 2016 IEEE Global Conference on Signal and Information Processing (GSIP 2016, Greater Washington, D.C., USA, December 7–9, 2016), pp. 292-296.
[89] Zhenni Li, Takafumi Hayashi, Shuxue Ding and Xiang Li, Constrained Analysis Dictionary Learning with the ℓ1/2-norm Regularizer, Proc. IEEE International Conference on Signal Processing (ICSP 2016, Chengdu, China, November 7 - 9, 2016), pp.890-894.
[90] Yujie Li, Shuxue Ding, Benying Tan, Zhenni Li and Haoli Zhao, Nonnegative Sparse Representation Based On the Determinant Measure, Proc. IEEE International Conference on Digital Signal Processing (DSP 2016, Beijing, China, October 16-18, 2016), pp. 599-603.
[91] Zhenni Li, Takafumi Hayashi, Shuxue Ding and Xiang Li, An efficient algorithm for incoherent analysis dictionary learning based on proximal operator, Proc. 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016, Budapest, Hungary, 9-12 Oct. 2016), pp. 3546-3549, DOI: 10.1109/SMC.2016.7844782.
[92] Zhenni Li, Shuxue Ding, Takafumi Hayashi, Wuhui Chen and Yujie Li. An Efficient Dictionary Learning with mixed-norm Regularizer for Sparsity Based on Proximal Operator, Proc. IEEE International Conference on Signal Processing and Communication Systems (ICSPCS 2015, Cairns, Australia, 14-16 December, 2015), pp.1-5.
[93] Zhenni Li, Shuxue Ding, Yujie Li and Wuhui Chen, Dictionary Learning with ℓ1/2 Regularizer for Sparsity Based on Proximal Operator, Proc. IEEE International Conference on Awareness Science and Technology (iCAST 2015, Qinhuagndao, China, Sept. 22-24, 2015), pp.105-110.
[94] Xiaohong Ma, Shuxue Ding, Jifei Song, Dongyan Zhu, Underdetermined blind separation of weak sparse sources via matrix transform layer by layer in the Time-Frequency domain, Proc. 2015 IEEE 7th International Conference on Awareness Science and Technology (iCAST 2015, Qinhuagndao, China, Sept. 22-24, 2015), pp.96-100.
[95] Yujie Li, Shuxue Ding and Zhenni Li, Analysis Dictionary Learning Based on Summation of Blocked Determinants Measure of Sparseness, Proc. 2015 IEEE International Conference on Digital Signal Processing (DSP 2015, July 21-24, 2015 in Singapore), pp. 224-228.
[96] Zhenni Li, Shuxue Ding and Yujie Li, Dictionary Learning with Log-regularizer for Sparse Representation, Proc. 2015 IEEE International Conference on Digital Signal Processing (DSP 2015, July 21-24, 2015 in Singapore), pp. 609-613.
[97] Yujie Li, Shuxue Ding, Zhenni Li and Wuhui Chen, Nonnegative Dictionary-Learning Algorithm for the analysis model based on L1 norm, Proc. 4th International Congress on Advanced Applied Informatics (IIAI-AAI-ICSCAI-2015, July 12-16, 2015, Okayama, Japan), pp. 495-499.
[98] Pingmei Cai, Guinan Wang, Hongjuan Zhang, Shuxue Ding and Zikai Wu, Sparse Electrocardiogram Signals Recovery Based on Solving a Row Echelon-Like Form of System, Proc. The 8th International Conference on Systems Biology & The 4th Translational Bioinformatics Conference (ISB/TBC 2014, Qingdao, China, October 24-27), aural publication only.
[99] Yujie Li, Shuxue Ding, and Zhenni Li, A Dictionary-Learning Algorithm for the Analysis Sparse Model with a Determinant-Type of Sparsity Measure, Proc. the 19th International Conference on Digital Signal Processing (DSP 2014, Hong Kong, August 20-23, 2014), pp. 152-156.
[100] Zhenni Li, Shuxue Ding, Yujie Li, Zunyi Tang, and Wuhui Chen, Improving dictionary learning using the Itakura-Saito divergence, Proc. 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2014, Xi’an, China, July 9-13, 2014), pp. 733 -737.