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 TC、TPDS、TVLSI、TNNLS、TSMC以及学术会议上发表学术论文300余篇；为IEEE TC、TPDS、TVLSI、TNNLS、JPDC、PARCO、JSA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类)

[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类)

[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类)

[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类)

[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类)

[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类)

[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类)

[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类)

[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类)

[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类)

[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类)

[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 Clustering， IEEE 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 Systems，August 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 Topologies，IEEE 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/