返回首页  |  收藏
 主页  团队介绍  团队成员  团队获奖  支部建设  项目基金  团队活动  实验室环境  学术活动  博士后招聘  联系我们 
  团队成员
 
 导师 
 博士后 
 博士生 
 硕士生 
  导师
导师 > 正文
  

武继刚 教授（团队负责人）

2020年07月27日 13:56  Click：[]

广东工业大学百人计划特聘教授

  ·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

  ·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

     Jigang Wu   

Director of HPCDS                                                               

个人简介: 

  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、数据科学与云计算、高性能体系结构、容错计算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。2018年度被评为“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。 

工作经历:

2015.04 - 至今 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

2009.12-2015.03   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

1993.06-2000.10  烟台大学 讲师 副教授（破格）

1983.07-1993.06   兰州大学计算机系 助教 讲师

教育背景:

1997.09-2000.07   中国科学技术大学国家高性能计算中心（合肥）攻读计算机软件

          与理论专业，师从于陈国良院士、获博士学位

1979.07-1983.07  兰州大学计算数学专业，获学士学位。

代表性学术论文:

  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, X. Han, Preprocessing and Partial Re-Routing Techniques for Accelerating Reconfiguration of Degradable VLSI Arrays, IEEE Transactions on Very Large Scale Integration Systems, 18(2), Feb. 2010, pp. 315-319.  (CCF B类)

  3. J. Wu, T. Srikanthan & X. Wang, Integrated Row and Column Re-routing for Reconfiguration of VLSI Arrays with 4-port Switches, IEEE Transactions on Computers, 56(10), 2007, pp.1387-1400, Oct. 2007  (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, Z. Jiang, J. Wu, X. Chen, et al. F3D: Accelerating 3D Convolutional Neural Networks in Frequency Space Using ReRAM, Design Automation Conference, accepted, 2021. (CCF A)

  13. 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)

  14. 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.

  15. 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)

  16. 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.

  17. 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.

  18. 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

  19. 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

  20. 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

  21. 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)

  22. 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)

  23. L. Chen, M. Yao, Y. Wu and J. Wu, EECDN: Energy-efficient Cooperative DNN Edge Inference in Wireless Sensor Networks, ACM Transactions on Internet Technology, Vol. 22, No. 4,  Nov. 2022, pp. 109:1-30.

  24. 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.  

  25. 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

  26. 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)

  27. 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)

  28. 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

  29. 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

  30. 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）

  31. 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)

  32. 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）

  33. 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.

  34. 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.

  35. 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.

  36. 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）

  37. 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.

  38. 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.

  39. 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

  40. 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)

  41. 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)

  42. G. Jiang, S. Lam, Y. Sun, L. Tu, and J. Wu, Joint Charging Tour Planning and Depot Positioning for Wireless Sensor Networks Using Mobile Chargers，IEEE/ACM Transactions on Networking, 25(4): 2250-2266 Aug 2017.  (CCF A 类)

  43. 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)

  44. 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.

  45. 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)

  46. Y. Wu, J. Wu, P. Liu, Y. Han, T. Srikanthan, Reconfiguration Algorithms for Synchronous Communication on Switch Based Degradable Arrays, Parallel Computing, Feb 2022, accepted.

  47. X. Long, J. Wu, Y. Wu, L. Chen, Y. Li, Context Switch Cost Aware Joint Task Merging and Scheduling for Deep Learning Applications. Parallel Computing, 2021, 102:1-13.

  48. S. Zhao，J. Wu，B. Zhang，L. Fei， Low-Rank Inter-Class Sparsity Based Semi-Flexible Target Least Squares Regression for Feature Representation, Pattern Recognition, vol.123, March 2022, 108346.

  49. M. Yao, L. Chen, Y, Wu and J. Wu, Loading Cost-Aware Model Caching and Request Routing in Edge-enabled Wireless Sensor Networks，The Computer Journal, accepted, June 2022.

  50. T. Liu, J. Wu, J-X. Li, J-Y. Li, Z. Zhang. Efficient Algorithms for Storage Load Balancing of Outsourced Data in Blockchain Network. The Computer Journal, 65(6) pp. 1512-1526.

  51. W. Shi, J. Wu, G. Jigang, S-K Lam, Multiple-choice Hardware/Software Partitioning for Tree Task-graph on MPSoC, The Computer Journal, 63(5) pp. 687-700, 2020 (CCF B)

  52. B. Wei, J. Wu, X. Su, Q. Huang, Y. Liu and F. Zhang, Efficient Erasure-Coded Data Updates Based on File Class Predictions and Hybrid Writes, Computers and Electrical Engineering, Volume 104, Part B, Dec. 2022, 108441

  53. S. Zhan, J. Wu, N. Han, J. Wen, X. Fang, Unsupervised Feature Extraction by Low-rank and Sparsity Preserving Embedding, Neural Networks, 109: 56–66, Jan. 2019.

  54. X. Zhang, J. Wu, M. Meng, Small target recognition using dynamic time warping and visual attention. The Computer Journal, 07 Feb. 2020, doi:10.1093/comjnl/bxaa015.

  55. L. Chen, J. Wu, J. Zhang. Long-term Optimization for MEC-enabled HetNets with Device-Edge-Cloud Collaboration . Computer Communications, vol. 166, Jan. 2021, pp. 66-80.

  56. Z. He, J. Wu, Na Han, Flexible Robust Principal Component Analysis, International Journal of Machine Learning and Cybernetics. 11(3) pp.603-613, 2020.

  57. X. Zhang, J. Wu, Z. Peng, M. Meng. SODNet: Small object detection using deconvolutional neural network. IET Image Processing, vol. 14, Iss. 8, pp. 1662-1669, 2020.

  58. N. Han, J. Wu, Y. Liang, X. Fang, et.al, Low-rank and Sparse Embedding for Dimensionality Reduction, Neural Networks, vol.108, pp. 202-216, Dec. 2018.

  59. Y. Wu, J. Wu, L. Chen, J. Yan, Y. Luo, Efficient Task Scheduling for Servers with Dynamic States in Vehicular Edge Computing, Computer Communication, 2020, vol.150, pp.245-253, 2020.

  60. J. Wu, J. Wu, L. Chen, Y. Wu, Secrecy rate and residual energy trade-off in energy harvesting cognitive radio networks, Physical Communication , 37 (2019) 100857, pp. 1-12.

  61. Z. Zhang, J. Wu, L. Chen, G. Jiang, S-K. Lam, Collaborative Task Offloading and Computation Reusing for Mobile Edge Computing, The Computer Journal, 62(10), pp. 1450–1462, Oct 2019.

  62. G. Zhou, J. Wu, L. Chen, G. Jiang, S-K Lam; Efficient Three-stage Auction Schemes for Cloudlets Deployment in Wireless Access Network, Wireless Networks, 2019, 25(6), 3335-3349.

  63. S. Ren, J. Wang, J. Wu, Generalized Passivity of Coupled Neural Networks with Directed and Undirected Topologies, Neurocomputing, 314, 371-385, 2018.

  64. L. Zhu, J. Wu, G. Jiang, L. Chen and S-K Lam. Efficient hybrid multicast approach in wireless data center network. Future Generation Computer Systems, 83:27-36, 2018.

  65. M. Meng, X. Zhan, J. Wu, Joint discriminative attributes and similarity embeddings modeling for zero-shot recognition, Neurocomputing, 399, pp. 117–128, July 2020.

  66. M. Meng, Y. Liu and J. Wu. Robust Discriminant Projection via Joint Margin and Locality Structure Preservation. Neural Processing Letters, 2020, doi: 10.1007/s11063-020-10418-1. (CCF C)

  67. Z. Wu, M. Meng, J. Wu, Visual Sentiment Prediction with Attribute Augmentation and Multi-attention Mechanism, Neural Processing Letters, Feb. 2020, doi: 10.1007/s11063-020-10201-2.

  68. L. Fei, S. Teng, J. Wu. Enhanced Minutiae Extraction for High-Resolution Palmprint Recognition, International Journal of Image and Graphics, 17(4): 00534, 2017.

  69. J. Wu, L. Chen, X. Wang, G. Jiang, S.Lam, T Srikanthan. Algorithms for Replica Placement and Update in Tree Network, The Computer Journal, 61(2): 293-287,  Feb 2018.（CCF B类）

  70. W. Shi, J. Wu, S. Lam, T. Srikanthan. Algorithms for Bi-objective Multiple-choice Hardware/Software Partitioning, Computers & Electrical Engineering, 50: 127-142, 2016.

  71. R. Hou, J. Wu, Y. Chen, H. Zhang. Note on Edge-Colored Graphs for Networks with Homogeneous Faults, The Computer Journal, 59(10): 1470-1478, 2016.（CCF B类）

  72. G. Jiang, J. Wu, S. K. Lam, T. Srikanthan, J. Sun. Algorithmic Aspects of Graph Reduction for Hardware/Software Partitioning, Journal of Supercomputing, 71(6): 2251-2274, June 2015. (CCF C类)

  73. G. Jiang, J. Wu, J. Sun. Efficient Reconfiguration Algorithms for Communication-Aware Three Dimensional Processor Arrays, Parallel Computing, 39(9): 490-503, 2013.

  74. J. Wu, P. Wang, S. K. Lam, T. Srikanthan. Efficient Heuristic and Tabu Search for Hardware/Software Partitioning, Journal of Supercomputing, 66(1): 118-134, 2013.

  75. J. Wu, X. Han. Tight Upper Bound for Accelerating Reconfiguration of VLSI Arrays, Journal of Circuits, Systems and Computers (JCSC), 24(7): 1-10, 2015.

  76. G. Jiang, J. Wu, J. Sun, Y. Gao. Flexible Rerouting Schemes for Reconfiguration of Multiprocessor Arrays, Journal of Parallel and Distributed Computing, 74(10): 3026-3036, 2014.

  77. R. Hou, J. Wu, Y. Chen, H. Zhang, X. Sui. Constructing Edge-Colored Graph for Heterogeneous Networks, Journal of Computer Science and Technology, 30(5): 1154-1160, Sept. 2015.

  78. G. Jiang, J. Wu, S. K. Lam, T. Srikanthan, J. Sun. Algorithmic Aspects of Graph Reduction for Hardware/Software Partitioning, Journal of Supercomputing, 71(6), pp.2251-2274, June 2015.

  79. J. Wu, G. Jiang, Y. Shen, S-K Lam, J. Sun, T. Srikanthan. Parallel Reconfiguration Algorithms for Mesh-connected Processor Arrays, Journal of Supercomputing, 69(2): 610-628, Jan. 2014.

  80. J. Wu, Y. Zhu, Z. Niu, T Srikanthan. Constructing Low Temperature sub-arrays on Reconfigurable VLSI arrays, Journal of Circuits, Systems, and Computers, 23(5): 1-18, 2014.

  81. Y. Li, J. Feng, L. Meng, J. Wu. Sparse Representation Shape Models, Journal of Mathematical Imaging and Vision, 48(1): 83-91, 2014.

  82. L. Sun, J. Wu. Schedule, control co-design for networked control systems with bandwidth constraints, Journal of the Franklin Institute, 351(2): 1042-1056, 2014.

  83. Y. Li, M. Li, J. Feng, J. Wu. Downsampling Sparse Representation and Discriminant Information Dided Occluded Face Recognition, Science China (Information Sciences), 57(3): 1-8, 2014.

  84. P. Liu, J. Wu, Y. Wang. Hybrid Algorithms for Hardware/Software Partitioning and Scheduling on Reconfigurable Devices, Mathematical and Computer Modelling, 58(1-2): 409-420, July 2013.

  85. Z. Wang, Y. Wang, M. Ma, J. Wu. Efficient Localization for Mobile Sensor Networks Based on Constraint Rules Optimized Monte Carlo Method, Computer Networks, 57(14): 2788-2801, 2013.

  86. G. Song, L. Yang, J. Wu, J. Schormans. A Performance Evaluation of Cellular / WLAN Integrated Networks, Frontier of Computer Science, 7(4): 486-495, 2013.

  87. A. K. Singh, A. Kumar, J. Wu, T. Srikanthan. CADSE: Communication Aware Design Space Exploration for Efficient Run-time MPSoC Management, Frontier of Computer Science, 7(3): 416-430, 2013.

  88. Y.  Liu, F. Nie, J. Wu, L. Chen. Efficient Semi-supervised Feature Selection with Noise Insensitive Trace Ratio Criterion, Neurocomputing, 10(5): 12-18, April 1, 2013.

  89. J. Wu, Q. Sun, T Srikanthan. Algorithmic Aspects for Multiple-choice Hardware /Software Partitioning, Computers & Operations Research, 39(12): 3281-3292, Dec. 2012

  90. Z. Wang, M. Ma, J. Wu, Securing Wireless Mesh Networks in a Unified Security Framework with Corruption-Resilience, Computer Networks, 56(12): 2981-2993, Aug. 2012

  91. T. Li, J. Wu, Y. Deng, T. Srikanthan, X. Lu. Accelerating Identification of Custom Instructions for Extensible Processors. IET Circuits, Devices & Systems, 5(1): 21-32, Jan. 2011.

  92. T. Li, J. Wu, S. K. Lam, T. Srikanthan, X. Lu. Selecting Profitable Custom Instructions for Reconfigurable Processors, Journal of Systems Architecture, 56(7): 340-351, July 2010.

  93. J. Wu, T. Srikanthan, T. Lei. Efficient Heuristic Algorithms for Path-Based Hardware/Software Partitioning, Mathematical and Computer Modelling, 51(7-8): 974-984, April 2010.

  94. A. K. Singh, T. Srikanthan, A. Kumar, J. Wu. Heuristics for Communication-aware Run-time Task Mapping on NoC-Based MPSoC Platforms, Journal of Systems Architecture, 56(7): 242-255, July 2010.

  95. J. Wu, T. Srikanthan, K. Wang. Minimizing Interconnect Length on Reconfigurable Meshes, Frontier of Computer Science in China, 3(3): 315-321, Aug. 2009.

  96. J. Wu, T. Srikanthan, T. Jiao. Algorithmic Aspects for Functional Partitioning and Scheduling in Hardware/Software Co-Design, Design Automation for Embedded Systems, 12(4): 345-375, Dec. 2008.

  97. J. Wu, T Srikanthan, C. Yan. Algorithmic Aspects for Power-Efficient Hardware/Software Partitioning, Mathematics and Computers in Simulation.79(4): 1204-1215, Dec. 2008.

  98. J. Wu, T. Srikanthan, G. Zou. New Model and Algorithm for Hardware/Software Partitioning, Journal of Computer Science & Technology, 23(4): 644-651, July 2008.

  99. J. Wu, T Srikanthan. Low-Complex Dynamic Programming Algorithm for Hardware / Software Partitioning, Information Processing Letters, 98(2): 41-46, 2006.

  100. J. Wu, T Srikanthan. An Efficient Algorithm for the Collapsing Knapsack Problem, Information Sciences, 176(12): 1739-1751, June 2006.

 科研项目:

  1. 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

  2. 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

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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 国家自然科学青年基金“异构网络移动云计算资源配置与计算迁移技术研究”(61702115)，第一参与

  14. 国家自然科学青年基金“耦合反应扩散神经网络的同步分析与控制”(61403275)，第一参与

  15. 天津市自然科学基金“基于位置校验和双线性映射的无线Mesh网络接入控制”，第一参与

  16. 天津市教委专项“基于排队拓扑网络的3G与WLAN整合研究”，第一参与

  17. 天津市教委专项“并行稀疏傅里叶变换及可重构加速研究”，第一参与

教学活动:

  1. 算法设计与分析

广东工业大学计算机学院高性能计算与数据科学实验室

广州市番禺区广州大学城外环西路100号 邮编:510006         粤ICP备05008833号