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.

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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2011 2018

Research Output 1996 2017

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 In : IEEE Transactions on Neural Networks and Learning Systems.

Research output: Contribution to journalArticle

Artificial intelligence
Learning systems
Microprocessor chips
Simulators
Neural networks

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

Inference
Probabilistic inference
Belief propagation
Model
Hidden Markov models

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 proceedingConference contribution

Hardware
Brain
Electric power utilization
Intrusion detection
Mobile devices

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 proceedingConference contribution

Neural networks
Hardware
Scalability
Feature extraction
Energy utilization