Jun Zhou

According to our database, Jun Zhou authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CQ$^{+}$+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks.

Zhanglu Yan, Jun Zhou, Weng-Fai Wong

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

1.7pJ/SOP Neuromorphic Processor with Integrated Partial Sum Routers for In-Network Computing.

Bo Wang, Ming Ming Wong, Dongrui Li, Yi Sheng Chong, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh, Aarthy Mani, Mohit Upadhyay, Ananta Narayanan Balaji, Anh Tuan Do

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140].

Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong

Neurocomputing, 2022

Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency.

Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong

Neurocomputing, 2022

Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks.

Zhanglu Yan, Jun Zhou, Weng-Fai Wong

CoRR, 2022

REACT: a heterogeneous reconfigurable neural network accelerator with software-configurable NoCs for training and inference on wearables.

Mohit Upadhyay, Rohan Juneja, Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Synthesis of the Dynamical Properties of Feedback Loops in Bio-Pathways.

Jun Zhou, R. Ramanathan, Weng-Fai Wong

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Energy efficient ECG classification with spiking neural network.

Zhanglu Yan, Jun Zhou, Weng-Fai Wong

Biomed. Signal Process. Control., 2021

Near Lossless Transfer Learning for Spiking Neural Networks.

Zhanglu Yan, Jun Zhou, Weng-Fai Wong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A future intelligent traffic system with mixed autonomous vehicles and human-driven vehicles.

Bokui Chen, Duo Sun, Jun Zhou, Wengfai Wong, Zhong-Jun Ding

Inf. Sci., 2020

Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip.

Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Fault Tolerant Stencil Computation on Cloud-Based GPU Spot Instances.

Jun Zhou, Yan Zhang, Weng-Fai Wong

IEEE Trans. Cloud Comput., 2019

A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips.

Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh

ACM Trans. Archit. Code Optim., 2019

Resource Efficient Personalized ECG Beat Classification via Temporal Logic Synthesis.

Jun Zhou, Weng-Fai Wong

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2017

Automated Property Synthesis of ODEs Based Bio-pathways Models.

Jun Zhou, R. Ramanathan, Weng-Fai Wong, P. S. Thiagarajan

Proceedings of the Computational Methods in Systems Biology, 2017

2015

Parallelized Parameter Estimation of Biological Pathway Models.

R. Ramanathan, Yan Zhang, Jun Zhou, Benjamin M. Gyori, Weng-Fai Wong, P. S. Thiagarajan

Proceedings of the Hybrid Systems Biology - Fourth International Workshop, 2015