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

Power management Engineering & Materials Science
Hardware Engineering & Materials Science
Neural networks Engineering & Materials Science
Scheduling Engineering & Materials Science
Energy dissipation Engineering & Materials Science
Energy harvesting Engineering & Materials Science
Memristors Engineering & Materials Science
Brain Engineering & Materials Science

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Projects 2011 2019

Research Output 1996 2017

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: ResearchConference contribution

Reinforcement learning
Resource allocation
Power management
Servers
Cloud computing

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: ResearchConference 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: Research - peer-reviewArticle

Coprocessor
Artificial intelligence
Learning systems
Microprocessor chips
Simulators
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: ResearchConference contribution

Handwriting Recognition
Belief Propagation
Inference
Propagation
Probabilistic Inference
1 Citations

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: ResearchConference contribution

Chemical activation
Neural networks
Hardware
Neurons
Application specific integrated circuits