## A General Framework to Map Neural Networks onto Neuromorphic Processor

Fang, H., Shrestha, A., Zhao, Z., Wang, Y. & Qiu, Q., Apr 23 2019,*Proceedings of the 20th International Symposium on Quality Electronic Design, ISQED 2019.*IEEE Computer Society, p. 20-25 6 p. 8697495. (Proceedings - International Symposium on Quality Electronic Design, ISQED; vol. 2019-March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## A simulation framework for fast design space exploration of unmanned air system traffic management policies

Zhao, Z., Luo, C., Zhao, J., Qiu, Q., Gursoy, M. C., Caicedo Bastidas, C. E. & Basti, F., Apr 1 2019,*ICNS 2019 - 2019 Integrated Communications, Navigation and Surveillance Conference: Enabling Future Flight through Evolving ICNS Technologies.*Institute of Electrical and Electronics Engineers Inc., 8735348. (Integrated Communications, Navigation and Surveillance Conference, ICNS; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Autonomous waypoints planning and trajectory generation for multi-rotor UAVs

Li, Y., Eslamiat, H., Wang, N., Zhao, Z., Sanyal, A. & Qiu, Q., Apr 15 2019,*DESTION 2019 - Proceedings of the Workshop on Design Automation for CPS and IoT.*Ramachandran, G. S. & Ortiz, J. (eds.). Association for Computing Machinery, Inc, p. 31-40 10 p. (DESTION 2019 - Proceedings of the Workshop on Design Automation for CPS and IoT).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## E-RNN: Design optimization for efficient recurrent neural networks in FPGAS

Li, Z., Ding, C., Wang, S., Wen, W., Zhuo, Y., Liu, C., Qiu, Q., Xu, W., Lin, X., Qian, X. & Wang, Y., Mar 26 2019,*Proceedings - 25th IEEE International Symposium on High Performance Computer Architecture, HPCA 2019.*Institute of Electrical and Electronics Engineers Inc., p. 69-80 12 p. 8675229. (Proceedings - 25th IEEE International Symposium on High Performance Computer Architecture, HPCA 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Reinforcement learning with analogue memristor arrays

Wang, Z., Li, C., Song, W., Rao, M., Belkin, D., Li, Y., Yan, P., Jiang, H., Lin, P., Hu, M., Strachan, J. P., Ge, N., Barnell, M., Wu, Q., Barto, A. G., Qiu, Q., Williams, R. S., Xia, Q. & Yang, J. J., Mar 1 2019, In : Nature Electronics. 2, 3, p. 115-124 10 p.Research output: Contribution to journal › Article

## Capacitive neural network with neuro-transistors

Wang, Z., Rao, M., Han, J. W., Zhang, J., Lin, P., Li, Y., Li, C., Song, W., Asapu, S., Midya, R., Zhuo, Y., Jiang, H., Yoon, J. H., Upadhyay, N. K., Joshi, S., Hu, M., Strachan, J. P., Barnell, M., Wu, Q., Wu, H. & 4 others, , Dec 1 2018, In : Nature Communications. 9, 1, 3208.Research output: Contribution to journal › Article

## C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs

Wang, S., Li, Z., Ding, C., Yuan, B., Qiu, Q., Wang, Y. & Liang, Y., Feb 15 2018,*FPGA 2018 - Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays.*Association for Computing Machinery, Inc, Vol. 2018-February. p. 11-20 10 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## HEIF: Highly Efficient Stochastic Computing based Inference Framework for Deep Neural Networks

Li, Z., Li, J., Ren, A., Cai, R., Ding, C., Qian, X., Draper, J., Yuan, B., Tang, J., Qiu, Q. & Wang, Y., Jul 3 2018, (Accepted/In press) In : IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.Research output: Contribution to journal › Article

## Learning Topics Using Semantic Locality

Zhao, Z., Pugdeethosapol, K., Lin, S., Li, Z., Ding, C., Wang, Y. & Qiu, Q., Nov 26 2018,*2018 24th International Conference on Pattern Recognition, ICPR 2018.*Institute of Electrical and Electronics Engineers Inc., Vol. 2018-August. p. 3710-3715 6 p. 8546223

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor

Shrestha, A., Ahmed, K., Wang, Y., Widemann, D. P., Moody, A. T., Van Essen, B. C. & Qiu, Q., Jul 13 2018, (Accepted/In press) In : IEEE Journal on Emerging and Selected Topics in Circuits and Systems.Research output: Contribution to journal › Article

## Optimizing data transfers for improved performance on shared GPUs using reinforcement learning

Luley, R. S. & Qiu, Q., Jul 13 2018,*Proceedings - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018.*Institute of Electrical and Electronics Engineers Inc., p. 378-381 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Scalable NoC-based Neuromorphic Hardware Learning and Inference

Fang, H., Shrestha, A., De Ma, M. & Qiu, Q., Oct 10 2018,*2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings.*Institute of Electrical and Electronics Engineers Inc., Vol. 2018-July. 8489619

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Towards budget-driven hardware optimization for deep convolutional neural networks using stochastic computing

Li, Z., Li, J., Ren, A., Ding, C., Draper, J., Qiu, Q., Yuan, B. & Wang, Y., Aug 7 2018,*Proceedings - 2018 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018.*IEEE Computer Society, Vol. 2018-July. p. 28-33 6 p. 8429337

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Towards ultra-high performance and energy efficiency of deep learning systems: An algorithm-hardware co-optimization framework

Wang, Y., Ding, C., Li, Z., Yuan, G., Liao, S., Ma, X., Yuan, B., Qian, X., Tang, J., Qiu, Q. & Lin, X., Jan 1 2018,*32nd AAAI Conference on Artificial Intelligence, AAAI 2018.*AAAI Press, p. 4235-4243 9 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

Liu, N., Li, Z., Xu, J., Xu, Z., Lin, S., Qiu, Q., Tang, J. & Wang, Y., Jul 13 2017,*Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017.*Institute of Electrical and Electronics Engineers Inc., p. 372-382 11 p. 7979983

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars

Cai, R., Ren, A., Wang, Y., Soundarajan, S., Qiu, Q., Yuan, B. & Bogdan, P., Apr 19 2017,*Proceedings - 29th IEEE International System on Chip Conference, SOCC 2016.*IEEE Computer Society, p. 317-322 6 p. 7905500

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams

Chen, Q., Luley, R., Wu, Q., Bishop, M., Linderman, R. W. & Qiu, Q., Mar 17 2017, (Accepted/In press) In : IEEE Transactions on Neural Networks and Learning Systems.Research output: Contribution to journal › Article

## A spike-based long short-term memory on a neurosynaptic processor

Shrestha, A., Ahmed, K., Wang, Y., Widemann, D. P., Moody, A. T., Van Essen, B. C. & Qiu, Q., Dec 13 2017,*2017 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2017.*Institute of Electrical and Electronics Engineers Inc., Vol. 2017-November. p. 631-637 7 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Assisting fuzzy offline handwriting recognition using recurrent belief propagation

Li, Y., Li, Z. & Qiu, Q., Feb 9 2017,*2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016.*Institute of Electrical and Electronics Engineers Inc., 7850026

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## CIRCNN: Accelerating and compressing deep neural networks using block-circulant weight matrices

Ding, C., Liao, S., Wang, Y., Li, Z., Liu, N., Zhuo, Y., Wang, C., Qian, X., Bai, Y., Yuan, G., Ma, X., Zhang, Y., Tang, J., Qiu, Q., Lin, X. & Yuan, B., Oct 14 2017,*MICRO 2017 - 50th Annual IEEE/ACM International Symposium on Microarchitecture Proceedings.*IEEE Computer Society, Vol. Part F131207. p. 395-408 14 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks

Li, J., Yuan, Z., Li, Z., Ding, C., Ren, A., Qiu, Q., Draper, J. & Wang, Y., Jun 30 2017,*2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings.*Institute of Electrical and Electronics Engineers Inc., Vol. 2017-May. p. 1230-1236 7 p. 7965993

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Normalization and dropout for stochastic computing-based deep convolutional neural networks

Li, J., Yuan, Z., Li, Z., Ren, A., Ding, C., Draper, J., Nazarian, S., Qiu, Q., Yuan, B. & Wang, Y., Jan 1 2017, (Accepted/In press) In : Integration.Research output: Contribution to journal › Article

## Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor

Chen, Q. & Qiu, Q., May 11 2017,*Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017.*Institute of Electrical and Electronics Engineers Inc., p. 205-207 3 p. 7926983

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## SC-DCNN: Highly-scalable deep convolutional neural network using stochastic computing

Ren, A., Li, Z., Ding, C., Qiu, Q., Wang, Y., Li, J., Qian, X. & Yuan, B., Apr 4 2017,*ASPLOS 2017 - 22nd International Conference on Architectural Support for Programming Languages and Operating Systems.*Association for Computing Machinery, Vol. Part F127193. p. 405-418 14 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Softmax regression design for stochastic computing based deep convolutional neural networks

Yuan, Z., Li, J., Li, Z., Ding, C., Ren, A., Yuan, B., Qiu, Q., Draper, J. & Wang, Y., May 10 2017,*GLSVLSI 2017 - Proceedings of the Great Lakes Symposium on VLSI 2017.*Association for Computing Machinery, Vol. Part F127756. p. 467-470 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning

Shrestha, A., Ahmed, K., Wang, Y. & Qiu, Q., Jun 30 2017,*2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings.*Institute of Electrical and Electronics Engineers Inc., Vol. 2017-May. p. 1999-2006 8 p. 7966096

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Structural design optimization for deep convolutional neural networks using stochastic computing

Li, Z., Ren, A., Li, J., Qiu, Q., Yuan, B., Draper, J. & Wang, Y., May 11 2017,*Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017.*Institute of Electrical and Electronics Engineers Inc., p. 250-253 4 p. 7926991

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Towards acceleration of deep convolutional neural networks using stochastic computing

Li, J., Ren, A., Li, Z., Ding, C., Yuan, B., Qiu, Q. & Wang, Y., Feb 16 2017,*2017 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017.*Institute of Electrical and Electronics Engineers Inc., p. 115-120 6 p. 7858306

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Designing reconfigurable large-scale deep learning systems using stochastic computing

Ren, A., Li, Z., Wang, Y., Qiu, Q. & Yuan, B., Nov 8 2016,*2016 IEEE International Conference on Rebooting Computing, ICRC 2016 - Conference Proceedings.*Institute of Electrical and Electronics Engineers Inc., 7738685

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Distributed and configurable architecture for neuromorphic applications on heterogeneous cluster

Ahmed, K., Qiu, Q. & Tamhankar, M., Nov 28 2016,*2016 IEEE High Performance Extreme Computing Conference, HPEC 2016.*Institute of Electrical and Electronics Engineers Inc., 7761598

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks

Li, Z., Ren, A., Li, J., Qiu, Q., Wang, Y. & Yuan, B., Nov 22 2016,*Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016.*Institute of Electrical and Electronics Engineers Inc., p. 678-681 4 p. 7753357

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Effective utilization of CUDA hyper-Q for improved power and performance efficiency

Luley, R. S. & Qiu, Q., Aug 2 2016,*Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016.*IEEE Computer Society, Vol. 2016-August. p. 1160-1169 10 p. 7529999

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Enhancing bidirectional association between deep image representations and loosely correlated texts

Chen, Q. & Qiu, Q., Oct 31 2016,*2016 International Joint Conference on Neural Networks, IJCNN 2016.*Institute of Electrical and Electronics Engineers Inc., Vol. 2016-October. p. 3164-3171 8 p. 7727603

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Guest Editorial: Design and Applications of Neuromorphic Computing System

Li, H. H., Qiu, Q. & Wang, Y., Oct 1 2016, In : IEEE Transactions on Multi-Scale Computing Systems. 2, 4, p. 223-224 2 p., 7792817.Research output: Contribution to journal › Editorial

## Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor

Ahmed, K., Shrestha, A., Qiu, Q. & Wu, Q., Oct 31 2016,*2016 International Joint Conference on Neural Networks, IJCNN 2016.*Institute of Electrical and Electronics Engineers Inc., Vol. 2016-October. p. 4286-4293 8 p. 7727759

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Simulation of Bayesian learning and inference on distributed stochastic spiking neural networks

Ahmed, K., Shrestha, A. & Qiu, Q., Oct 31 2016,*2016 International Joint Conference on Neural Networks, IJCNN 2016.*Institute of Electrical and Electronics Engineers Inc., Vol. 2016-October. p. 1044-1051 8 p. 7727313

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## System design for in-hardware STDP learning and spiking based probablistic inference

Ahmed, K., Shrestha, A., Wang, Y. & Qiu, Q., Sep 2 2016,*Proceedings - IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2016.*IEEE Computer Society, Vol. 2016-September. p. 272-277 6 p. 7560209

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Towards memristor based accelerator for sparse matrix vector multiplication

Cui, J. & Qiu, Q., Jul 29 2016,*ISCAS 2016 - IEEE International Symposium on Circuits and Systems.*Institute of Electrical and Electronics Engineers Inc., Vol. 2016-July. p. 121-124 4 p. 7527185

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Towards parallel implementation of associative inference for cogent confabulation

Li, Z., Qiu, Q. & Tamhankar, M., Nov 28 2016,*2016 IEEE High Performance Extreme Computing Conference, HPEC 2016.*Institute of Electrical and Electronics Engineers Inc., 7761623

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## A Neuromorphic Architecture for Context Aware Text Image Recognition

Qiu, Q., Li, Z., Ahmed, K., Liu, W., Habib, S. F., Li, H. H. & Hu, M., Nov 4 2015, (Accepted/In press) In : Journal of Signal Processing Systems.Research output: Contribution to journal › Article

## Chip multiprocessor performance modeling for contention aware task migration and frequency scaling

Shen, H. & Qiu, Q., Sep 1 2015, In : Journal of Low Power Electronics. 11, 3, p. 263-277 15 p.Research output: Contribution to journal › Article

## Cloning your mind: Security challenges in cognitive system designs and their solutions

Liu, B., Wu, C., Li, H., Chen, Y., Wu, Q., Barnell, M. & Qiu, Q., Jul 24 2015,*Proceedings - Design Automation Conference.*Institute of Electrical and Electronics Engineers Inc., Vol. 2015-July. 7167279

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## FPGA acceleration of recurrent neural network based language model

Li, S., Wu, C., Li, H., Li, B., Wang, Y. & Qiu, Q., Jul 15 2015,*Proceedings - 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2015.*Institute of Electrical and Electronics Engineers Inc., p. 111-118 8 p. 7160054

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Self-structured confabulation network for fast anomaly detection and reasoning

Chen, Q., Wu, Q., Bishop, M., Linderman, R. & Qiu, Q., Sep 28 2015,*Proceedings of the International Joint Conference on Neural Networks.*Institute of Electrical and Electronics Engineers Inc., Vol. 2015-September. 7280371

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## The applications of memristor devices in next-generation cortical processor designs

Li, H., Liu, B., Liu, X., Mao, M., Chen, Y., Wu, Q. & Qiu, Q., Jul 27 2015,*Proceedings - IEEE International Symposium on Circuits and Systems.*Institute of Electrical and Electronics Engineers Inc., Vol. 2015-July. p. 17-20 4 p. 7168559

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution