Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Memristors Engineering & Materials Science
Hardware Engineering & Materials Science
Neural networks Engineering & Materials Science
Energy harvesting Engineering & Materials Science
Scheduling Engineering & Materials Science
Energy dissipation Engineering & Materials Science
Embedded systems Engineering & Materials Science
Brain Engineering & Materials Science

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Projects 2011 2019

Research Output 1996 2017

2 Citations

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 proceedingConference contribution

Reinforcement learning
Resource allocation
Servers
Cloud computing
Electric power utilization
1 Citations

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 proceedingConference contribution

Memristors
Linear equations
Linear programming
Scalability
Scheduling

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 journalArticle

Artificial intelligence
Learning systems
Microprocessor chips
Simulators
Neural networks
1 Citations

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 proceedingConference contribution

Handwriting Recognition
Belief Propagation
Probabilistic Inference
Hidden Markov models
Neural networks
2 Citations

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 proceedingConference contribution

Energy efficiency
Application specific integrated circuits
Fast Fourier transforms
Field programmable gate arrays (FPGA)
Throughput