Journal papers

  1. Q. Chen, R. Luley, Q. Wu, M. Bishop, R. W. Linderman, and Q. Qiu, “AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams,” IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017.
  2. Q. Qiu, Z. Li, K. Ahmed, W. Liu, S. F. Habib, H. Li and M. Hu, “A Neuromorphic Architecture for Context Aware Text Image Recognition,” Journal of Signal Pro-cessing Systems, Nov. 2015.

  3. H. Shen and Q. Qiu, “Chip Multiprocessor Performance Modeling for Contention Aware Task Migration and Frequency Scaling,” Journal of Low Power Electronics, Vol. 11, No. 3, pp. 263-277(15), 2015.

  4. Y. Ge, Y. Zhang and Q. Qiu, “Distributed Task Migration in a Homogeneous Many-Core System for Leakage and Fan Power Reduction,” Journal of Low Power Electronics, Vol.10, No. 4, 550-565, December, 2014

  5. H. Shen, Y. Tan, J. Lu, Q. Wu and Q. Qiu, “Achieving Autonomous Power Management Using Reinforcement Learning,”ACM Transactions on Design Automation of Electronic Systems, Vol. 18, Iss. 2, pp. 24032, March 2013.

  6. Y. Ge, Y. Zhang, P. Malani, Q. Wu and Q. Qiu, “Low Power Task Scheduling and Mapping for Applications with Conditional Branches on Heterogeneous Multi-processor System,” Journal of Low Power Electronics, Vol.8, No. 5, pp. 535-551, December 2012.

  7. Q. Qiu, Q. Wu, M. Bishop, R. Pino, and R. W. Linderman, “A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High Performance Computing Cluster,” IEEE Transactions on Computers, Vol 62, No. 5, 2013.

  8. Y. H. Lu, Q. Qiu, A. R. Butt and K. W. Cameron, “End-to-End Energy Management,” Computer, 44 (11), November 2011.

  9. S. Liu, J. Liu, Q. Wu and Q. Qiu, “Harvesting-Aware Power Management for Real-Time Systems with Renewable Energy,”Vol. 20, Issue 8, pp. 1473 – 1486, IEEE Transactions on VLSI systems, 2012.

  10. Y. Ge, Q. Wu and Q. Qiu, “A Multi-Agent Framework for Thermal Aware Task Migration in Many-core Systems,” IEEE Transactions on VLSI systems, Vol.8, No. 5, pp. 535-551, December 2012.

  11. Q. Qiu, D. Burns, P. Mukre, and Q. Wu, “Hardware Acceleration of Multi-deme Genetic Algorithm for DNA Codeword Searching,” International Journal of Information Technology and Intelligent Computing, 2008.

  12. Q. Qiu, P. Mukre, M. Bishop, D. Burns, and Q. Wu, “Hardware Acceleration for Thermodynamic Constrained DNA Code Generation,” Lecture Notes in Computer Science, Vol. 4848, 2007.

  13. Q. Wu, Q. Qiu, M. Pedram, "Estimation of Peak Power Dissipation in VLSI Circuits Using the Limiting Distributions of Extreme Order Statistics," IEEE transactions on Computer Aided Design of Integrated Circuits and Systems, Vol. 20, No. 8, pp. 942-956, Aug. 2001.

  14.   Q. Qiu, Q. Wu, M. Pedram, "Stochastic Modeling of a Power-Managed System: Construction and Optimization," IEEE transactions on Computer Aided Design of Integrated Circuits and Systems, Vol. 20, No. 10, pp. 1200-1217, Oct. 2001.

  15. X. Wu, Q. Qiuand M. Pedram, "A Synthesis Methodology for ECL Circuits Based on Mixed Voltage-Current Representation," Journal of Electronics, Vol. 16, No. 4, pp. 359-366, Oct. 1999.

  16. Q. Wu, Q. Qiu, M. Pedram, C. Ding, "Cycle-Accurate Macro-Models for RT-Level Power Analysis," IEEE Transactions on VLSI systems, Vol. 6, No. 4, pp. 520-528, Dec. 1998.

 Conference papers

  1. A. Shrestha, K. Ahmed, Y. Wang, D. P. Widemann, A. T. Moody, B. C. Van Essen, and Q. Qiu, "A Spike-Based Long Short-Term Memory on a Neurosynaptic Processor," to appear on Proc. of International Conference On Computer Aided Design (ICCAD), November, 2017.
  2. A. Shrestha, K. Ahmed, Y. Wang, and Q. Qiu, "Stable Spike-Timing Dependent Plasticity Rule for Multilayer Unsupervised and Supervised Learning," on Proc. of International Joint Conference on Neural Networks (IJCNN), May, 2017.

  3. A. Ren, J. Li, Z. Li, C. Ding, X. Qian, Q. Qiu, B. Yuan, and Y. Wang, "SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing,"Proc. of ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), April, 2017.

  4. Z. Li, J. Li, A. Ren, Q. Qiu, B. Yuan, J. Draper, and Y. Wang, "Structural Design Optimization for Deep Convolutional Neural Networks using Stochastic Computing," Proc. Of Design, Automation and Test in Europe (DATE), March, 2017.

  5. Q. Chen and Q. Qiu, "Real-time Anomaly Detection for Streaming Data using Burst Code on a Neurosynaptic Processor," Proc. Of Design, Automation and Test in Europe (DATE), March, 2017.

  6. J. Li, A. Ren, Z. Li, C. Ding, B. Yuan, Q. Qiu, and Y. Wang, "Towards Acceleration of Deep Convolutional Neural Networks using Stochastic Computing," Proc. of Asia and South Pacific Design Automation Conference (ASPDAC). Janurary, 2017.

  7. Y. Li, Z. Li, and Q. Qiu, "Assisting Fuzzy Offline Handwriting Recognition Using Recurrent Belief Propagation," Proc. of IEEE Symposium Series on Computational Intelligence (SSCI), December, 2016.

  8. Z. Li, A. Ren, J. Li, Q. Qiu, Y. Wang, and B. Yuan, "DSCNN: Hardware-Oriented Optimization for Stochastic Computing Based Deep Convolutional Neural Networks," Proc. of IEEE International Conference on Computer Design (ICCD), October, 2016.

  9. A. Ren, Z. Li, Y. Wang, Q. Qiu, and B. Yuan, "Designing reconfigurable large-scale deep learning systems using stochastic computing," Proc. of IEEE International Conference on Rebooting Computing (ICRC), October, 2016.

  10. Z. Li, M. Tamhankar, and Q. Qiu, "Towards Parallel Implementation of Associative Inference for Cogent Confabulation," Proc. of IEEE High Performance Extreme Computing (HPEC), September, 2016. (Most Innovative Student Paper Award)

  11. K. Ahmed, M. Tamhankar, and Q. Qiu, "Distributed and Configurable Architecture for Neuromorphic Applications on Heterogeneous Cluster," Proc. of IEEE High Performance Extreme Computing (HPEC), September, 2016.

  12. K. Ahmed, A. Shrestha, and Q. Qiu, "Simulation of Bayesian Learning and Inference on Distributed Stochastic Spiking Neural Networks," Proc. of International Joint Conference on Neural Networks (IJCNN), July, 2016
  13. K. Ahmed, A. Shrestha, Q. Wu, and Q. Qiu, "Probabilistic Inference Using Stochastic Spiking Neural Networks on A Neurosynaptic Processor," Proc. of International Joint Conference on Neural Networks (IJCNN), July, 2016.

  14. Q. Chen and Q. Qiu, "Enhancing Bidirectional Association between Deep Image Representations and Loosely Correlated Texts," Proc. of International Joint Conference on Neural Networks (IJCNN), July, 2016.

  15. K. Ahmed, A. Shrestha, Y. Wang, and Q. Qiu, "System Design for In-hardware STDP Learning and Spiking Based Probablistic Inference," Proc. of IEEE Computer Society Annual Symposium on VLSI, July, 2016.

  16. R. Luley and Q. Qiu, "Effective Utilization of CUDA Hyper-Q for Improved Power and Performance Efficiency," Proc. of IEEE International Parallel & Distributed Processing Symposium, The Twelfth Workshop on High-Performance, Power-Aware Computing (HPPAC'16), May, 2016.

  17. J. Cui and Q. Qiu, "Towards Memristor based Accelerator for Sparse Matrix Vector Multiplication," Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), May, 2016.

  18. Q. Chen, Q. Wu, M. Bishop, R. Linderman, and Q. Qiu, "Self-structured Confabulation Network for Fast Anomaly Detection and Reasonin,"Proc. of International Joint Conference on Neural Networks (IJCNN), July, 2015.

  19. S. Li, C. Wu, H. Li, B. Li, Y. Wang, and Q. Qiu, "FPGA Acceleration of Recurrent Neural Network based language Model," Proc. of IEEE International Symposium on
    Field-Programmable Custom Computing Machines
    (FCCM), May, 2015.

  20. Z. Li and Q. Qiu, “Completion and Parsing Chinese Sentences Using Cogent Con-fabulation,Proc. Of Proc. Of IEEE Symposium Series on Computational Intelligence (SSCI), December, 2014.

  21. Q. Qiu, Z. Li, K. Ahmed, H. Li, and M. Hu, “Neuromorphic Acceleration for Context Aware Text Image Recognition,” Proc. Of IEEE Workshop on Signal Processing Systems (SiPS), October, 2014

  22. K. Ahmed, Q. Qiu, P. Malani, M. Tamhankar, “Accelerating Pattern Matching in Neuromorphic Intelligent Text Recognition System Using Intel Xeon Phi Coprocessor,” to appear on Proc. International Joint Conference on Neural Networks (IJCNN), 2014

  23. Q. Wu, B. Liu, Y. Chen, H. Li, Q. Chen and Q. Qiu, “Bio-Inspired Computing with Resistive Memories – Models, Architectures and Applications,” to appear on Proc. Of International Symposium on Circuits and Systems (ISCAS), 2014.

  24. Q. Chen, Q. Qiu, Q. Wu, M. Bishop and M. Barnell, “A Confabulation Model for Abnormal Vehicle Events Detection in Wide-Area Traffic Monitoring,”Proc. Of IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), March, 2014.

  25. H. Shen, Q. Chen and Q. Qiu, “Battery Aware Stochastic QoS Boosting in Mobile Computing Devices,” to appear on Proc. Of Design, Automation and Test in Europe (DATE), March, 2014. (Acceptance Rate for short paper: 35%)

  26. H. Shen and Q. Qiu, “Contention Aware Frequency Scaling on CMPs with Guaranteed Quality of Service,” to appear on Proc. Of Design, Automation and Test in Europe (DATE), March, 2014. (Acceptance Rate for regular paper: 23%)

  27. M. Hu, Y. Wang, Q. Qiu, Y. Chen, H. Li, “The Stochastic Modeling of TiO2 Memristor and Its Usage in Neuromorphic System Design,” on Proc. Of Asia and South Pacific Design Automation Conference (ASP-DAC), January, 2014. (Acceptance rate: 31%)

  28. Q. Chen, Q. Qiu, H. Li and Q. Wu, “A Neuromorphic Architecture for Anomaly Detection in Autonomous Large-Area Traffic Monitoring,” Proc. O International Conference on Computer-Aided Design (ICCAD), Nov. 2013.

  29. Y. Zhang, Y. Ge and Q. Qiu, “Improving Charging Efficiency with Wordload Scheduling in Energy Harvesting Embedded Systems,” Proc. Of Design Automation Conference (DAC), June, 2013. (162 papers accepted out of 747 submissions. 21.7% acceptance rate)

  30. H. Shen and Q. Qiu, “User-Aware Energy Efficient Streaming Strategy for Smartphone Based Video Playback Applications,” Proc. Of 2013 Design, Automation & Test in Europe (DATE), March, 2013. (Acceptance Rate for short paper: 33%)

  31. Y. Ge, Y. Zhang and Q. Qiu, “Improving Energy Efficiency for Energy Harvesting Embedded Systems,” Proc. Of Asia and South Pacific Design Automation Conference (ASPDAC), Jan. 2013. (97 papers accepted out of 311 submissions. 31% acceptance rate)

  32. Y. Ge, Y. Zhang, Q. Qiu and Y. Lu, “A Game Theoretic Resource Allocation for Overall Energy Minimization in Mobile Cloud Computing System,” Proc. Of 2012 International Symposium on Low Power Electronics and Design (ISLPED), August 2012. (Acceptance Rate: 31%)

  33. F. Yang, Q. Qiu, M. Bishop, and Q. Wu, “Tag-assisted Sentence Confabulation for Intelligent Text Recognition,” Proc. Of Computational Intelligence for Security and Defense Applications (CISDA), May, 2012.

  34. H. Shen and Q. Qiu, “Learning Based DVFS for Simultaneous Temperature, Performance and Energy Management,” Proc. of International Symposium on Quality Electronic Design (ISQED), March 2012.

  35. H. Shen and Q. Qiu, “An FPGA-based Distributed Computing System with Power and Thermal Management Capabilities,” Proc. Of International Computer Communications and Networks (ICCCN), August, 2011.

  36. J. Lu and Q. Qiu, “Scheduling and mapping of periodic tasks on multi-core embedded systems with energy harvesting ,” Proc. Of International Green Computing Conference and Workshops (IGCC), July, 2011.

  37. Q. Qiu, Q. Wu, and R. W. Linderman, “Unified Perception-Prediction Model for Context Aware Text Recognition on a Heterogeneous Many-Core Platform,” Proc. Of International Joint Conference on Neural Networks(IJCNN), July, 2011.

  38. Y. Ge and Q. Qiu, “Dynamic Thermal Management for Multimedia Applications Using Machine Learning ,” Proc. Of Design Automation Conference (DAC) (156 papers accepted out of 690 submission. 23% acceptance rate), June, 2011.

  39. Q. Qiu, Q. Wu, D. J. Burns, M. J. Moore, R. E. Pino, M. Bishop, and R. W. Linderman, "Confabulation Based Sentence Completion for Machine Reading," Proc. of IEEE Symposium Series on Computational Intelligence (SSCI ), April, 2011.

  40. Q. Qiu, Q. Wu, D. J. Burns, M. J. Moore, R. E. Pino, M. Bishop and R. W. Linderman, “A Neuromorphic Approach for Intelligent Text Recognition,” Proc. Of HPCMP User Group Conference , March, 2011.

  41. Y. Ge and Q. Qiu, “Task Allocation for Minimum System Power in a Homogenous Multi-core Processor,” Proc. Of International green Computing (IGCC), August, 2010.

  42. J. Lu, S. Liu, Q. Wu and Q. Qiu, “Accurate Modeling and Prediction of Energy Availability in Energy Harvesting Real-Time Embedded Systems,” Proc. Of International green Computing, August (IGCC), 2010.

  43. Y. Ge, P. Malani, and Q. Qiu, “Distributed Task Migration for Thermal Management in Many-core Systems,” Proc. Of Design Automation Conference (DAC) (148 papers accepted out of 607 submission. 24% acceptance rate), June, 2010.

  44. W. Liu, Y. Tan and Q. Qiu, “Enhanced Q-Learning Algorithm for Dynamic Power Management with Performance Constraint,”Proc. Of 2010 Design, Automation & Test in Europe (DATE) (Acceptance Rate: ~27%), March 2010.

  45. S. Liu, J. Zhang, Q. Wu, and Q. Qiu, “Thermal-Aware Job Allocation and Scheduling for Three Dimensional Chip Multiprocessor,”Proc. of 2010 International Symposium on Quality Electronics Design (ISQED), March 2010.

  46. Y. Tan, W. Liu, Q. Qiu, “Adaptive Power Management Using Reinforcement Learning,” Proc. Of 2009 International Conference on Computer Aided Design (ICCAD), November 2009. (115 papers accepted out of 438 submissions. 26% acceptance rate)

  47. S. Liu, Q. Wu and Q. Qiu, “An Adaptive Scheduling and Voltage/Frequency Selection Algorithm for Real-time Energy Harvesting Systems,” Proc. Of 2009 Design Automation Conference (DAC), July 2009. (148 papers accepted out of 682 submissions. 22% acceptance rate)

  48. J. Zhang, Q. Wu and Q. Qiu, “Bus Encoding for Simultaneous Delay and Energy Optimization,” Proc. Of 2008 International Symposium on Low Power Electronics and Design (ISLPED), August 2008.(72 papers accepted out of 208 submission. 35% acceptance rate)

  49. S. Liu, Q. Qiu and Q. Wu, “A Probabilistic Technique for Full-chip Leakage Estimation,” Proc. Of 2008 International Symposium on Low Power Electronics and Design (ISLPED), August 2008.(72 papers accepted out of 208 submission. 35% acceptance rate)

  50. Q. Wu, P. Mukre, R. Linderman, T. Renz, D. Burns, M. Moore and Q. Qiu, “Performance Optimization for Pattern Recognition using Associative Neural Memory,” Proc. Of 2008 IEEE International Conference on Multimedia & Expo (ICME), June 2008.

  51. Q. Qiu, D. Burns, M. Moore, R. Linderman, T. Renz and Q. Wu, “Accelerating Cogent Confabulation: an Exploration in the Architecture Design Space,” Proc. Of 2008 International Joint Conference on Neural Networks and IEEE World Congress on Computational Intelligence (WCCI) , June 2008.

  52. P. Malani, P. Mukre, Q. Qiu, Q. Wu, “Adaptive Scheduling and Voltage Scaling for Multiprocessor Real-time Applications with Non-deterministic Workload,Proc. of Design, Automation and Test in Europe (DATE), March 2008. (198 papers accepted out of 839 submissions. 23% acceptance rate)

  53. S. Liu, Q. Wu, Q. Qiu, “Dynamic Voltage and Frequency Selection for Real-Time System with Energy Scavenging,” Proc. of Design, Automation and Test in Europe (DATE), March 2008. (198 papers accepted out of 839 submissions. 23% acceptance rate)

  54. Y. Tan, Q. Qiu, "A Framework of Stochastic Power Management Using Hidden Markov Model," Proc. of Design, Automation and Test in Europe (DATE), March 2008. (198 papers accepted out of 839 submissions. 23% acceptance rate)

  55. P. Malani, P. Mukre, and Q. Qiu, "Power Optimization for Conditional Task Graphs in DVS Enabled Multiprocessor Systems," Proc. of IFIP International Conference on Very Large Scale Integration (VLSI-SoC), October 2007.

  56. Q. Qiu, D. Burns, P. Mukre, and Q. Wu, "Hardware Acceleration of Multi-deme Genetic Algorithm for the Application of DNA Codeword Searching," Proc. of the Genetic and Evolutionary Computation Conference (GECCO) , July 2007. (266 papers accepted out of 577 submissions. 46% acceptance rate)

  57. P. Malani, Y. Tan, and Q. Qiu, "Resource-aware High Performance Scheduling for Embedded MPSoCs With the Application of MPEG Decoding," Proc. of International Conference on Multimedia & Expo (ICME), July 2007.

  58. Q. Qiu, P. Mukre, M. Bishop, D. Burns, and Q. Wu, "Hardware Acceleration for Thermodynamic Constrained DNA Code Generation," Proc. of the 13th International Meeting on DNA Computing (DNA), June 2007.

  59. P. Malani, P. Mukre, Q. Qiu, “Profile-Based Low Power Scheduling for Conditional Task Graph: A Communication Aware Approach,” Proc. of International Symposium of Circuits and Systems (ISCAS), May, 2007 (49% acceptance rate)

  60. Q. Qiu, Y. Tan, and Q. Wu, “Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System,” Proc. of Design Automation and Test in Europe (DATE) , April, 2007. (208 papers accepted out of 933 submissions. 22% acceptance rate)

  61. Q. Wu, Q. Qiu, D. Burns, M. Moor, “Architectural Design and Complexity Analysis of Large-Scale Cortical Simulation on a Hybrid Computing Platform,”, Proc. of Computational Intelligence for Security and Defense Applications (CISDA), April, 2007

  62. Q. Qiu, D. Burns, and Q. Wu, “Hybrid Architecture for Accelerating DNA Codeword Library Searching,” Proc. of 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), April, 2007

  63. Q. Qiu, D. Burns, Q. Wu, and D. Holzhauer "Lifetime Aware Resource Management for Sensor Network Using Distributed Genetic Algorithm," Proc. of International Symposium on Low Power Electronics and Design (ISLPED), October 2006. (75 papers accepted out of 214 submissions. 35% acceptance rate)

  64. Q. Qiu, S. Liu, and Q. Wu "Task Merging for Dynamic Power Managment of Cyclic Applications in Real-Time Multiprocessor Systems," Proc. of International Conference on Computer Design (ICCD), October 2006. (72 papers accepted out of 231 submissions. 31% acceptance rate)

  65. A.R. Brahmbhatt, J. Zhang, Q Wu, and Q. Qiu "Low-power Bus Encoding Using an Adaptive Hybrid Algorithm," Proc. of Design Automation Conference (DAC), July 2006. (209 papers accepted out of 865 submissions. 24% acceptance rate)

  66. Q. Qiu, D. Burns, Q. Wu, and D. Holzhauer "Distributed Genetic Algorithm for Energy-Efficient Resource Management in Sensor Networks," Proc. of Genetic and Evolutionary Computation Conference (GECCO) , July 2006. (205 papers accepted out of 466 submission. 46% acceptance rate)

  67. A.R. Brahmbhatt, J. zhang, Q. Qiu, and Q. Wu, "Adaptive Low-Power Bus Encoding Based on Weighted Code Mapping," proceedings of IEEE International Symposium on Circuits and Systems (ISCAS) , May 2006. (1439 papers accepted out of 2429 submissions. 59% acceptance rate)

  68. Q. Wu, J. Zhang, and Q. Qiu, "Design Considerations for Digital Circuits Using Organic Thin Film Transistors on a Flexible Substrate," proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), May 2006. (1439 papers accepted out of 2429 submissions. 59% acceptance rate)

  69. Y. Tan, P. Malani, Q. Qiu and Q. Wu, “Workload Prediction and Dynamic Voltage Scaling for MPEG Decoding,” proceedings of Asia and South Pacific Design Automation Conference (ASPDAC), Jan. 2006. (135 papers accepted out of 432 submissions. 31% acceptance rate)

  70. L. Xie, P. Qiu, and Q. Qiu, “Partitioned Bus Coding for Energy Reduction,” proceedings of Asia and South Pacific Design Automation Conference (ASPDAC), Jan. 2005. (280 papers accepted out of 692 submissions, 40% acceptance rate)

  71. H. Su, P. Qiu, and Q. Qiu, “ESACW: An Adaptive Algorithm For Transmission Power Reduction In Wireless Networks,” proceedings of International Symposium on Low Power Electronics and Design (ISLPED) , Aug. 2004. (70 papers accepted out of 204 submissions, 34% acceptance rate)

  72. Q. Qiu, Q. Wu, and M. Pedram, “Dynamic Power Management in a Mobile Multimedia System with Guaranteed Quality-of-Service,” Proceedings of the Design Automation Conference (DAC), Jun. 2001. (160 papers accepted out of 410 submissions, 39% acceptance rate)

  73. Q. Qiu, Q. Wu, and M. Pedram, “Dynamic Power Management of Complex Systems Using Generalized Stochastic Petri Nets,” Proceedings of the Design Automation Conference (DAC), Jun. 2000. (142 papers accepted out of 390 submissions, 36% acceptance rate)

  74. Q. Wu, Q. Qiu and M. Pedram, "An Interleaved Dual-Battery Power Supply for Battery-Operated Electronics," Proceedings of Asia and South Pacific Design Automation Conference (ASPDAC), Jan. 2000.

  75. Q. Qiu, Q. Wu, and M. Pedram, "Stochastic Modeling of a Power-Managed System: Construction and Optimization," Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED) , Aug. 1999.

  76. Q. Qiu and M. Pedram, "Dynamic power management based on continuous-time Markov decision processes,"  Proceedings of 36th Design Automation Conference (DAC), Jun. 1999. (154 papers accepted out of 451 submissions, 34% acceptance rate)

  77. Q. Qiu, Q. Wu, and M. Pedram, "Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics," Proceedings of the Design Automation Conference (DAC) , Jun. 1998. (142 papers accepted out of 390 submissions, 36% acceptance rate)

  78. Q. Qiu, Q. Wu, C. Ding, and M. Pedram, "Cycle-Accurate Macro-Models for RT-Level Power Analysis," Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED) , Aug. 1997.