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武继刚 教授(团队负责人)

2020年07月27日 13:56  Click:[]

Distinguished Professor, Director of HPCDS

 ·Standing Committee Member of TCTCS, CCF

 ·Standing Committee Member of TCDIC, CAAI

 ·Committee Member of TCHPC, CCF

 ·Specialist, China Engineering Education Accreditation Association

 ·Research: AI and Mobile Computing, Data Science and Cloud Computing,

                        High Performance Architecture, Fault tolerant Computing

    Jigang Wu          ·Emailasjgwucn@outlook.com

                                                                               


Resume:

        Dr. Wu is distinguished professor, doctoral supervisor and member of academic committee of Guandong University of Technology (GDUT). His researches focus on algorithm design for optimization problems in AI and Mobile Computing, Data Science and Cloud Computing, High Performance Architecture, Fault tolerant Computing, etc. He has published more than 300 technical papers in respected journals, such as IEEE TC, TPDS, TVLSI, TIP, TNNLS, TSMC, and international conferences. He serves for the journals IEEE TC, TPDS, TVLSI, TNNLS, JPDC, PARCO, JSA and many international conferences. His algorithm was cited by The Arts of Computer Programming (by D. E. Knuth), the Turing Awarded book. He was awarded a most respected advisor of graduated students in 2018 in GDUT. More than 80% his students obtained top scholarship, and more than 20 students have experience studying abroad.

Experience:

  • 2015.04 - Now Distinguished professor, doctoral supervisor and member of academic committee of GDUT, China

  • 2009.12-2015.03   Distinguished professor of Tianjin, doctoral supervisor, dean of school of computer science and software, Tianjin Polytechnic University,China

  • 2000.10-2009.12   Post-doctor fellow, Research fellow in School of Computer Science and Engineering, Nanyang Technological University, Singapore

  • 1993.06-2000.10 Lecturer, Associate professor in department of computer, Yantai University, China

  • 1983.07-1993.06   Assistant professor, Lecturer in department of computer, Lanzhou University, China

Education:

  • 1997.09-2000.07  PhD, Computer Software and Theorey, National High performance Computing Center (Hefei), University of Science and Technology of China, under supervisorof Guoliang Chen (Member of the Chinese Academy of Sciences )

  • 1979.07-1983.07  B.Sc,Computational Mathematics, Lanzhou University, China

Selected publications:

  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, 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)

  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), 2007pp.1387-1400, Oct. 2007  (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, 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)

  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)

  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)

  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)

  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 ClusteringIEEE 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. WuJoint Charging Tour Planning and Depot Positioning for Wireless Sensor Networks Using Mobile ChargersIEEE/ACM Transactions on Networking, 25(4): 2250-2266 Aug 2017  (CCF A )

  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 SystemsAugust 2017, 28(8). pp. 1827-1839, (ESI highly cited paper)

  44. J. Wang, H. Wu, T. Huang, S. Ren and J. WuPassivity Analysis of Coupled Reaction-Diffusion Neural Networks with Dirichlet Boundary ConditionsIEEE Transactions on Systems, Man and Cybernetics: SystemsAugust 2017, 47(8), pp.2148-2159

  45. J. Wang, H. Wu, T. Huang, S. Ren, and J. WuPinning 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)

  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. ZhaoJ. WuB. ZhangL. 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 NetworksThe 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. ZhangEfficient Erasure-Coded Data Updates Based on File Class Predictions and Hybrid WritesComputers 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)

  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.