Jun Zhou

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 13

Top Topics

Parameter Estimation

Beat Classification

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Zhanglu Yan, Jun Zhou, Weng-Fai Wong
CQ$^{+}$+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Bo Wang, Ming Ming Wong, D. Li, Yi Sheng Chong, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh, Aarthy Mani, Mohit Upadhyay, Ananta Narayanan Balaji, Anh Tuan Do
1.7pJ/SOP Neuromorphic Processor with Integrated Partial Sum Routers for In-Network Computing. ISCAS (2023)
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks. CoRR (2022)
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
Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140]. Neurocomputing 508 (2022)
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
Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. Neurocomputing 474 (2022)
Mohit Upadhyay, Rohan Juneja, Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
REACT: a heterogeneous reconfigurable neural network accelerator with software-configurable NoCs for training and inference on wearables. DAC (2022)
Jun Zhou, R. Ramanathan, Weng-Fai Wong
Synthesis of the Dynamical Properties of Feedback Loops in Bio-Pathways. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip. DATE (2020)
Jun Zhou, Weng-Fai Wong
Resource Efficient Personalized ECG Beat Classification via Temporal Logic Synthesis. BIBE (2019)
Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips. ACM Trans. Archit. Code Optim. 15 (4) (2019)
Jun Zhou, Yan Zhang, Weng-Fai Wong
Fault Tolerant Stencil Computation on Cloud-Based GPU Spot Instances. IEEE Trans. Cloud Comput. 7 (4) (2019)
Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip. CoRR (2019)
Jun Zhou, R. Ramanathan, Weng-Fai Wong, P. S. Thiagarajan
Automated Property Synthesis of ODEs Based Bio-pathways Models. CMSB (2017)
R. Ramanathan, Yan Zhang, Jun Zhou, Benjamin M. Gyori, Weng-Fai Wong, P. S. Thiagarajan
Parallelized Parameter Estimation of Biological Pathway Models. HSB (2015)