武继刚 特聘教授

作者: 时间:2019-07-10 点击数:


所属学院:

计算机学院

导师类别:

博士生/硕士生导师

科研方向:

移动智能计算,高性能系统结构、VLSI算法设计

联系方式:

asjgwucn@outlook.com

硕士招生学院:

计算机学院

 

团队网页:

https://hpcds.gdut.edu.cn/info/1015/1103.htm 

 

 

 

 

 

 

个人简述 

 

广东工业大学百人计划特聘教授、校学术委员会委员、博士生/硕士生导师;长期从事移动智能计算、高性能系统结构、VLSI算法设计等领域的算法技术研究与最优化问题求解;相继在国际著名学术期刊IEEE TCTPDSTVLSITNNLSTSMC以及学术会议上发表学术论文300余篇;为IEEE TCTPDSTVLSITNNLSJPDCPARCOJSA等国际重要学术期刊的论文评阅人;连续主持国家级、省部级等课题十余项;在理论计算机科学领域,提出的Heap基本操作算法被图灵奖著作引用。多次被评为“研究生最喜爱导师“优秀研究生导师,指导的研究生获得一等以上奖学金的覆盖率高达80%,其中20余人已获得国外学术实习的经历。

 

 

 

 

学术兼职 

中国计算机学会理论计算机科学专委会 常务委员

中国人工智能学会 离散计算专委会 常务委员

中国计算机学会 高性能计算专业委员会 委员

国家工程教育专业认证专家组 成员

 

 

 

 

教育背景 

1997/9-2000/7,中国科学技术大学国家高性能计算中心(合肥),计算机软件与理论专业,博士

1979/7-1983/7,兰州大学,计算数学专业,学士

 

 

 

 

 

工作经历 

2015/4-至今,广东工业大学特聘教授博士生导师校学术委员会委员校教学指导委员会委员

2009/12-2015/3天津市特聘教授天津市重点学科领军人才,天津工业大学计算机学院院长

2000/10-2009/12新加坡南洋理工大学计算机学院做博士后,并留校在高性能嵌入式系统中心任研究员

1993/6-2000/10烟台大学讲师副教授(破格)

1983/7-1993/6兰州大学计算机系助教讲师

 

 

 

 

代表性论文 

[1] J. Wu, T. Srikanthan, G. Jiang, K. Wang, Constructing Sub-Arrays with Short Interconnects from Degradable VLSI Arrays, IEEE Transactions on Parallel and Distributed Systems, 25(4), 929-938, Apr 2014. (CCF A)

[2] J. Wu, T. Srikanthan, G. Jiang, K. Wang, Constructing Sub-Arrays with Short Interconnects from Degradable VLSI Arrays, IEEE Transactions on Parallel and Distributed Systems, 25(4), 929-938, Apr 2014.   (CCF A)

[3] J. Wu, T. Srikanthan, G. Jiang, K. Wang, Constructing Sub-Arrays with Short Interconnects from Degradable VLSI Arrays, IEEE Transactions on Parallel and Distributed Systems, 25(4), 929-938, Apr 2014.   (CCF A)

[4] J. Wu & T Srikanthan, Reconfiguration Algorithms for Power Efficient VLSI Sub-Arrays with 4-port Switches, IEEE Transactions on Computers, 55 (3): 243-253 MAR 2006.   (CCF A)

[5] J. Wu, T Srikanthan & Schroder Heiko.  Efficient Reconfigurable Techniques for VLSI Arrays with 6-port Switches, IEEE Transactions on Very Large Scale Integration Systems 13(8):  976-979, August, 2005   (CCF B)

[6] J. Wu, T. Srikanthan, G. Chen, Algorithmic Aspects of Hardware/Software Partitioning: 1D Search Algorithms, IEEE Transactions on Computers, 59(4), April, 2010, pp.532-544. (CCF A)

[7] Y. Wu, J. Wu, L. Chen, G. Zhou, J. Yan, Fog Computing Model and Efficient Algorithms for Directional Vehicle Mobility in Vehicular Network, IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 5, pp. 2599-2614, May 2021 (CCF B)

[8] Y. Wu, J. Wu, L. Chen, J. Yan, Y. Han, Load Balance Guaranteed Vehicle-to-Vehicle Computation Offloading for Min-Max Fairness in VANETs, IEEE Transactions on Intelligent Transportation Systems, 23(8), 2022, pp. 11994-12013 (CCF B)

[9] J. Li, J. Wu, L. Chen, J. Li, S-K Lam, Blockchain-based Secure Key Management for Mobile Edge Computing, IEEE Transactions on Mobile Computing, 22(1), Jan. 2023, pp.100-113 (CCF A)

[10] N. Han, J. Wu, X. Fang, G. Zhou, et al. Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition, IEEE Transactions on Image Processing, vol. 29, pp. 9220-9233, Sept. 2020, (CCF A)

[11] L. Yao, P. Liu, J. Wu, Y. Zhong, et al. Integrating Two Logics into One Crossbar Array for Logic Gate Design. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(8), pp.2987-2991, Aug. 2021.

[12] B. Liu, X. Chen, Y. Han, J. Wu, L. Chang, P. Liu, and H. Xu, Search-free Inference Acceleration for Sparse Convolutional Neural Networks, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(7), 2022, pp. 2156-2169 (CCF A)

[13] S. Ma, Q. Hu, S. Zhao, W. Wu, J. Wu, Multi-Scale Multi-Direction Binary Pattern Learning for Discriminant Palmprint Identification, IEEE Transactions on Instrumentation and Measurement, accepted, doi: 10.1109/TIM.2023.3238753

[14] S. Zhao, L. Fei, J. Wen, J. Wu, B. Zhang, Intrinsic and Complete Structure Learning Based Incomplete Multiview Clustering, IEEE Transactions on Multimedia, DOI 10.1109/TMM.2021.3138638. online, accepted (CCF A)

[15] S. Zhao, J. Wu, B. Zhang, L. Fei, S. Li, and P. Zhao, Adaptive Graph Embedded Preserving Projection Learning for Feature Extraction and Selection, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Aug 2022, accepted Doi: 10.1109/TSMC.2022.3193131

[16] J. Li, Y. Li, J. Wu, Z. Zhang, Y. Jin, "Blockchain-Based Decentralized Cloud Storage with Reliable Deduplication and Storage Balancing", IEEE Transactions on Network Science and Engineering, April 2022, accepted.

[17] L. Fei, B. Zhang, L. Zhang, W. Jia, J. Wen, J. Wu, Learning Compact Multifeature Codes for Palmprint Recognition from a Single Training Image per Palm, IEEE Transactions on Multimedia, vol.23, pp. 2930-2942, Aug 2021

[18] N. Han, J. Wu, X. Fang, J. Wen, S. Zhan, S. Xie, X. Li. Transferable Linear Discriminant Analysis, IEEE Transactions on Neural Networks and Learning Systems. Vol. 31, No. 12, Dec 2020. pp. 5630-5638

[19] N. Han, J. Wu, X. Fang, W. Wong, Y. Xu, J. Yang, and X. Li, Double Relaxed Regression for Image Classification, IEEE Transactions on Circuits and Systems for Video Technology, 30(2), pp. 307 - 319, Feb. 2020

[20] N. Han, J. Wu, X. Fang, S. Xie, S. Zhan, K. Xie, X. Li, Latent Elastic-Net Transfer Learning, IEEE Transactions on Image Processing, 29: 2820-2833, 2020.  (CCF A)

[21] L. Chen, J. Wu, X. Zhang, G. Zhou, TARCO: Two-Stage Auction for D2D Relay Aided Computation Resource Allocation in HetNet, IEEE Transactions on Services Computing, vol. 14, No. 1, pp.286-299, 2021(CCF B)

[22] L. Chen, J. Wu, J.Zhang, Hong-Ning Dai, Xin Long, Mianyang Yao. Dependency-Aware Computation Offloading for Mobile Edge Computing with Edge-Cloud Cooperation. IEEE Transactions on Cloud Computing, accepted, Nov. 2020, Doi: 10.1109/TCC.2020.3037306.

[23] L. Chen, J. Wu, H. Dai and X. Huang, BRAINS: Joint Bandwidth-Relay Allocation in Multi-Homing Cooperative D2D Network, IEEE Transactions on Vehicular Technology, 67(6), pp. 5387-5398, June 2018

[24] G. Jiang, J. Wu, Y. Wang, Y. Ha, J. Sun. Reconfiguring Three-dimensional Processor Arrays for Fault-tolerance: Hardness and Heuristic Algorithms. IEEE Transactions on Computers. 64(10): 2926-2939, Oct 2015. (CCF A)

[25] M. Meng, H. Wang, J. Yu, H. Chen and J. Wu. Asymmetric Supervised Consistent and Specific Hashing for Cross-Modal Retrieval. IEEE Transactions on Image Processing, vol. 30, pp. 986-1000, 2021. (CCF A)

[26] M. Meng, J. Wei and J. Wu. Learning Multi-Part Attention Neural Network for Zero-shot Classification. IEEE Transactions on Cognitive and Developmental Systems, 14(2), June 2022, pp. 414-423

[27] M. Meng, Z. Wu, T. Liang, J. Yu, J. Wu, Exploring Fine-grained Cluster Structure Knowledge for Unsupervised Domain Adaptation, IEEE Transactions on Circuits and Systems for Video Technology, 32(8), 2022, pp 5481-5494

[28] M. Meng, M. Lan, J. Yu and J. Wu. Coupled Knowledge Transfer for Visual Data Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 31(5), 2021, pp. 1776-1789. (CCF B

[29] M. Meng, M. Lan, Y. Jun, J. Wu, and D. Tao. Constrained Discriminative Projection Learning for Image Classification, IEEE Transactions on Image Processing, 29(1), pp. 186-198, 2020.  (CCF A)

[30] M. Meng, M. Lan, J. Yu and J. Wu. Multi-View Consensus Structure Discovery. IEEE Transactions on Cybernetics, 2020, DOI:10.1109/TCYB.2020.3013136. (CCF B

[31] M. Lan, M. Meng, J. Yu, J. Wu, Generalized Multi-view Collaborative Subspace ClusteringIEEE Transactions on Circuits and Systems for Video Technology, 32(6), June 2022, pp. 3561-3574.

[32] P. Liu; Z. You; J. Wu; Elimu Michael; W. Wang; S. Cai. Defect Analysis and Parallel Testing for 3D Hybrid CMOS-Memristor Memory, IEEE Transactions on Emerging Topics in Computing,9(2), pp. 745-758, 2021.

[33] P. Liu, Z. You, J. Wu, B. Liu, Y. Han, and K. Chakrabarty, Fault Modeling and Efficient Testing of Memristor-Based Memory, IEEE Transactions on Circuits and Systems, I: regular paper, vol. 68, no. 11, pp.4444-4454, Nov. 2021.

[34] S. Zhan, J. Wu, N. Han, J. Wen, X. Fang, Group Low-Rank Representation based Discriminant Linear Regression, IEEE Transactions on Circuits and Systems for Video Technology 30(3), pp. 760-770, Mar. 2020. (CCF B

[35] X. Fang, N. Han, J. Wu, Y. Xu, J. Yang, W. Wong, X. Li. Approximate Low-Rank Projection Learning for Feature Extraction, IEEE Transactions on Neural Networks and Learning Systems, 29(11), pp. 5228-5241, 2018.

[36] X. Fang, N. Han, W. Wong, S. Teng, J. Wu, S. Xie, X. Li. Flexible Affinity Matrix Learning for Unsupervised and Semi-Supervised Classification, IEEE Transactions on Neural Networks and Learning Systems, 30(4), pp.1133-1149, Apr 2019.

[37] S. Ren, M. Ru, J. Wu. Passivity-Based Leader-Following Consensus Control for Nonlinear Multi-Agent Systems with Fixed and Switching Topologies. IEEE Transactions on Network Science and Engineering, vol. 6, no. 4, 2019, pp. 844-856.

[38] J. Wang, H. Wu, T. Huang, S. Ren, J. Wu, X. Zhang, Analysis and Control of Output Synchronization for Directed and Undirected Complex Dynamical Networks, IEEE Transactions on Neural Networks and Learning Systems, 29(8), 3326-3338, 2018 (ESI highly cited paper)

[39] J. Wang, H. Wu, T. Huang, S. Ren, J. Wu, Passivity and Output Synchronization of Complex Dynamical Networks with Fixed and Adaptive Coupling Strength, IEEE Transactions on Neural Networks and Learning Systems, Feb. 2018, 29(2), pp. 364-376.  (ESI highly cited paper)

[40] J. Wang, H. Wu, T. Huang, S. Ren, J. Wu. Passivity of Directed and Undirected Complex Dynamical Networks with Adaptive Coupling Weights, IEEE Transactions on Neural Networks and Learning SystemsAugust 2017, 28(8). pp. 1827-1839, (ESI highly cited paper)

[41] J. Wang, H. Wu, T. Huang, S. Ren and J. Wu. Passivity Analysis of Coupled Reaction-Diffusion Neural Networks with Dirichlet Boundary Conditions, IEEE Transactions on Systems, Man and Cybernetics: Systems, August 2017, 47(8), pp.2148-2159

[42] J. Wang, H. Wu, T. Huang, S. Ren, and J. Wu. Pinning Control for Synchronization of Coupled Reaction-Diffusion Neural Networks with Directed TopologiesIEEE Transactions on Systems, Man, and Cybernetics: Systems, August 2016, 46(8), pp.1109-1120. (ESI highly cited paper)

 

 

 

 

科研项目 

国家自然科学基金“分布式边缘训练动态计算环境下服务质量保障研究”(62072118),主持

国家自然科学基金“片上网络高性能可重构设计与任务分配技术”(61672171),主持

国家重点研发计划“数据科学的若干理论”(2018YFB1003201),主持子课题

国家自然科学基金“可重构环境下软硬件协同设计算法研究”(61173032),主持

国家自然科学基金“容错处理器网格的高效重构技术”(60970016),主持

广东省自然科学基金(重点)“端云结合的多智能体协同计算关键技术研究”(2018B030311007),主持

广东省普通高校省级重大科研项目“云环境中类脑机器人网络关键计算技术”(2016KZDXM052),主持

广东省科技计划应用专项(重点)“自主可控的安全金融服务终端研发及产业化”(2015B010129014),主持

计算机科学国家重点实验室“软硬件协同设计的计算模型与算法”(SYSKF1109),主持

教育部博士点基金“多处理器阵列拓扑重构及定制技术”(20131201110002),主持

计算机体系结构国家重点实验室“可重构多处理器片上网络容错算法研究”(CARCH201303),主持

计算机科学国家重点实验室“软硬件协同设计的鲁棒优化算法研究”(SYSKF1304),主持

 

 

 

 

 

教学活动 

本科生课程:算法设计与分析

 

 

 

 

团队主页

高性能计算与数据科学实验室  http://hpcds.gdut.edu.cn/ 

 

 

地址:广州市番禺区广州大学城外环西路100号广东工业大学行政楼325    邮编:510006

电话:020-39322722    邮箱:yzb@gdut.edu.cn  粤ICP备05008833号