Search Results - "Qiao, G. C."

A Neuromorphic-Hardware Oriented Bio-Plausible Online-Learning Spiking Neural Network Model by Qiao, G. C., Hu, S. G., Wang, J. J., Zhang, C. M., Chen, T. P., Ning, N., Yu, Q., Liu, Y.

“…Neuromorphic hardware inspired by the brain has attracted much attention for its advanced information processing concept. However, implementing online learning…”
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A versatile neuromorphic system based on simple neuron model by Zhang, C. M., Qiao, G. C., Hu, S. G., Wang, J. J., Liu, Z. W., Liu, Y. A., Yu, Q., Liu, Y.

“…Brain-inspired neuromorphic computing has attracted much attention for its advanced computing concept. However, the massive hardware cost in fully-connected…”
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Fullerene-Inspired Efficient Neuromorphic Network-on-Chip Scheme by Zhou, P. J., Yu, Q., Chen, M., Qiao, G. C., Zuo, Y., Zhang, Z., Liu, Y., Hu, S. G.

“…Router-based network-on-chips (NoCs) are widely used for multi-core interconnection in neuromorphic chips. The NoC scheme has a great impact on communication…”
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Quantized STDP-based online-learning spiking neural network by Hu, S. G., Qiao, G. C., Chen, T. P., Yu, Q., Liu, Y., Rong, L. M.

“…In this work, we report a spike-timing-dependent plasticity (STDP)-based weight-quantized/binarized online-learning spiking neural network (SNN). The SNN uses…”
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Floating-Point Approximation Enabling Cost-Effective and High-Precision Digital Implementation of FitzHugh-Nagumo Neural Networks by Zuo, Y., Ning, N., Qiao, G. C., Wu, J. H., Bao, J. H., Zhang, X. Y., Bai, J., Wu, F. H., Liu, Y., Yu, Q., Hu, S. G.

“…The study of neuron interactions and hardware implementations are crucial research directions in neuroscience, particularly in developing large-scale…”
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Achieving High Core Neuron Density in a Neuromorphic Chip Through Trade-off Among Area, Power Consumption, and Data Access Bandwidth by Zhou, P. J., Zuo, Y., Qiao, G. C., Zhang, C. M., Zhang, Z., Meng, L. W., Yu, Q., Liu, Y., Hu, S. G.

“…As a crucial component of neuromorphic chips, on-chip memory usually occupies most of the on-chip resources and limits the improvement of neuron density. The…”
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A co-designed neuromorphic chip with compact (17.9K F2) and weak neuron number-dependent neuron/synapse modules by Hu, S. G., Qiao, G. C., Liu, X. K., Liu, Y. H., Zhang, C. M., Zuo, Y., Zhou, P. J., Liu, Y. A., Ning, N., Yu, Q., Liu, Y.

“…Many efforts have been made to improve the neuron integration efficiency on neuromorphic chips, such as using emerging memory devices and shrinking CMOS…”
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An efficient pruning and fine-tuning method for deep spiking neural network by Meng, L. W., Qiao, G. C., Zhang, X. Y., Bai, J., Zuo, Y., Zhou, P. J., Liu, Y., Hu, S. G.

“…Spiking Neural Networks (SNNs) demonstrate low hardware and power consumption due to their inherent sparse spike-based computing characteristics, which is…”
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Evaluation of experimental designs and spatial analyses in wheat breeding trials by QIAO, C. G, BASFORD, K. E, DELACY, I. H, COOPER, M

“…Thirty-three wheat breeding trials were conducted from 1994 to 1996 in the Northern Grains Region (QLD and Northern NSW) of Australia to evaluate the influence…”
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A 0.96pJ/SOP, 30.23K-neuron/mm2 Heterogeneous Neuromorphic Chip With Fullerene-like Interconnection Topology for Edge-AI Computing by Zhou, P. J., Yu, Q., Chen, M., Wang, Y. C., Meng, L. W., Zuo, Y., Ning, N., Liu, Y., Hu, S. G., Qiao, G. C.

“…Edge-AI computing requires high energy efficiency, low power consumption, and relatively high flexibility and compact area, challenging the AI-chip design…”
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Advantage of single-trial models for response to selection in wheat breeding multi-environment trials by Qiao, C.G, Basford, K.E, DeLacy, I.H, Cooper, M

“…An investigation was conducted to evaluate the impact of experimental designs and spatial analyses (single-trial models) of the response to selection for grain…”
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The Mean of the Inverse of a Punctured Normal Distribution and Its Application by Lai, C. D., Wood, G. R., Qiao, C. G.

“…The fundamental properties of a punctured normal distribution are studied. The results are applied to three issues concerning X/Y where X and Y are independent…”
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Direct training of hardware-friendly weight binarized spiking neural network with surrogate gradient learning towards spatio-temporal event-based dynamic data recognition by Qiao, G.C., Ning, N., Zuo, Y., Hu, S.G., Yu, Q., Liu, Y.

“…The spiking neural network (SNN)-based neuromorphic hardware has been extensively studied in dynamic information processing. However, there is still a lack of…”
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Batch normalization-free weight-binarized SNN based on hardware-saving IF neuron by Qiao, G.C., Ning, N., Zuo, Y., Zhou, P.J., Sun, M.L., Hu, S.G., Yu, Q., Liu, Y.

“…Neuromorphic computing realizes low-latency and low-power computing by emulating the neural structure and operation of the human brain, and is considered a key…”
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STBNN: Hardware-friendly spatio-temporal binary neural network with high pattern recognition accuracy by Qiao, G.C., Hu, S.G., Chen, T.P., Rong, L.M., Ning, N., Yu, Q., Liu, Y.

“…In recent years, the weight binarized neural network (BNN) technology has made great progress. However, neural networks with binarized inputs and binarized…”
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Estimating a binomial proportion from several independent samples by Qiao, C. G., Wood, G. R., Lai, C. D.

“…This paper addresses the problem of estimating a binomial proportion from several independent samples in agricultural research, where the arithmetic average is…”
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A 0.96pJ/SOP, 30.23K-neuron/mm^2 Heterogeneous Neuromorphic Chip With Fullerene-like Interconnection Topology for Edge-AI Computing by Zhou, P. J, Yu, Q, Chen, M, Wang, Y. C, Meng, L. W, Zuo, Y, Ning, N, Liu, Y, Hu, S. G, Qiao, G. C

“…Edge-AI computing requires high energy efficiency, low power consumption, and relatively high flexibility and compact area, challenging the AI-chip design…”
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Membrane fouling mechanism and control strategy for the pilot-scale submerged PVC-UF membrane process by Fan, Qing-ru, Xiao, Ping, Xiao, Feng, Qiao, Chun-guang, Qin, Tong, Wang, Dong-sheng

“…In this paper, Lujing water supply plant in Jiangsu was selected to carry out the investigation in order to understand the constitutes of the membrane fouling,…”
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ESTIMATION OF A PROPORTION USING SEVERAL INDEPENDENT SAMPLES OF BINOMIAL MIXTURES by Wood, G.R., Lai, C.D., Qiao, C.G.

“…Summary This paper considers a sequence of independent counts, with each count arising from a mixture of binomial distributions; the mixing distribution is…”
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A review of advances in maize production in Jilin Province during 1974–1993 by Qiao, Chun-Gui, Wang, Yu-Jie, Guo, Hai-Ao, Chen, Xue-Jun, Liu, Jia-Yu, Li, Shu-Qiang

“…The average maize grain yield of Jilin Province increased from 2835 kg/ha in 1974 to 6329 kg/ha in 1993, an average increase of 6.2% per year. Comparative…”
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