Junjie Wang

According to our database, Junjie Wang authored at least 19 papers between 2018 and 2025.

Collaborative distances:

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

2025

A 2T1MTJ-Based In-Memory Computing Macro With Time-Domain Accumulation and Ramp-Type Readout.

Shuang Liu, Junjie Wang, Y. H. Zhang, Y. T. Liu, S. Q. Yan, Y. Wang, Q. Yu, Tupei Chen, Yang Liu

IEEE Trans. Circuits Syst. II Express Briefs, November, 2025

Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells.

Siyu Xiao, Xindi Zhao, Tianhao Mao, Yiwei Wang, Yuqiao Chen, Hongyun Zhang, Jian Wang, Junjie Wang, Shuang Liu, Tupei Chen, Yang Liu

CoRR, November, 2025

Realization of Precise Perforating Using Dynamic Threshold and Physical Plausibility Algorithm for Self-Locating Perforating in Oil and Gas Wells.

Siyu Xiao, Guohui Ren, Tianhao Mao, Yuqiao Chen, YiAn Liu, Junjie Wang, Kai Tang, Xindi Zhao, Zhijian Yu, Shuang Liu, Tupei Chen, Yang Liu

CoRR, September, 2025

2024

Design and Implementation of a Hybrid, ADC/DAC-Free, Input-Sparsity-Aware, Precision Reconfigurable RRAM Processing-in-Memory Chip.

Junjie Wang, Teng Zhang, Shuang Liu, Yihe Liu, Yuancong Wu, Shaogang Hu, Tupei Chen, Yang Liu, Yuchao Yang, Ru Huang

IEEE J. Solid State Circuits, February, 2024

Design and implementation of a charge-sharing in-memory-computing macro with sparse feature for quantized neural network.

Yihe Liu, Junjie Wang, Shuang Liu, Mingyuan Sun, Xiaoyang Zhang, Jingtao Zhou, Shiqin Yan, Ruicheng Pan, Hao Hu, Yang Liu

Microelectron. J., 2024

Live Demonstration for Input-Sparsity-Aware RRAM Processing-in-Memory Chip.

Junjie Wang, Shuang Liu, Ruicheng Pan, Shiqin Yan, Yihe Liu, Yang Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

Ultra-High-Speed Accelerator Architecture for Convolutional Neural Network Based on Processing-in-Memory Using Resistive Random Access Memory.

Hongzhe Wang, Junjie Wang, Hao Hu, Guo Li, Shaogang Hu, Qi Yu, Zhen Liu, Tupei Chen, Shijie Zhou, Yang Liu

Sensors, March, 2023

An Area- and Energy-Efficient Spiking Neural Network With Spike-Time-Dependent Plasticity Realized With SRAM Processing-in-Memory Macro and On-Chip Unsupervised Learning.

Shuang Liu, Junjie Wang, Jingtao Zhou, Shaogang Hu, Qi Yu, Tupei Chen, Yang Liu

IEEE Trans. Biomed. Circuits Syst., February, 2023

FuzzJIT: Oracle-Enhanced Fuzzing for JavaScript Engine JIT Compiler.

Junjie Wang, Zhiyi Zhang, Shuang Liu, Xiaoning Du, Junjie Chen

Proceedings of the 32nd USENIX Security Symposium, 2023

FPGA-implemented Memristor-based Transient Chaotic Neural Network for AES Edge Encryption.

Hongzhe Wang, Kunsong Liu, Yi'an Liu, Junjie Wang, Mingyuan Sun, Kai Tang, Guohui Ren, Xindi Zhao, Yang Liu

Proceedings of the International Conference on Electronics, 2023

A Programmable Logic-in-Memory Architecture Based on 22nm Fully DepletedSilicon on Insulator Technology.

Yihe Liu, Junjie Wang, Shuang Liu, Mingyuan Sun, Kai Tang, Guohui Ren, Xindi Zhao, Mingliang Sun, Yang Liu

Proceedings of the International Conference on Electronics, 2023

2020

Application of Deep Compression Technique in Spiking Neural Network Chip.

Yanchen Liu, Kun Qian, Shaogang Hu, Kun An, Sheng Xu, Xitong Zhan, Junjie Wang, Rui Guo, Yuancong Wu, Tupei Chen, Qi Yu, Yang Liu

IEEE Trans. Biomed. Circuits Syst., 2020

An energy-efficient deep convolutional neural networks coprocessor for multi-object detection.

Yuancong Wu, Junjie Wang, Kun Qian, Yanchen Liu, Rui Guo, Shaogang Hu, Qi Yu, Tupei Chen, Yang Liu, Limei Rong

Microelectron. J., 2020

2019

A Neuromorphic-Hardware Oriented Bio-Plausible Online-Learning Spiking Neural Network Model.

Chunming Qiao, Shaogang Hu, Junjie Wang, C. M. Zhang, Tupei Chen, Ning Ning, Qi Yu, Yang Liu

IEEE Access, 2019

Implementation of a Low Noise Amplifier With Self-Recovery Capability.

Yanchen Liu, Caizhi Zhang, Tupei Chen, Deyu Kong, Rui Guo, Junjie Wang, Yuancong Wu, Shaogang Hu, L. M. Rong, Qi Yu, Yang Liu

IEEE Access, 2019

Study of Recall Time of Associative Memory in a Memristive Hopfield Neural Network.

Deyu Kong, Shaogang Hu, Junjie Wang, Zhen Liu, Tupei Chen, Qi Yu, Yang Liu

IEEE Access, 2019

Design of a Neural Network-Based VCO With High Linearity and Wide Tuning Range.

Rui Guo, Kun Qian, Jinping Wei, Tupei Chen, Yanchen Liu, Deyu Kong, Junjie Wang, Yuancong Wu, Shaogang Hu, Qi Yu, Yang Liu

IEEE Access, 2019

2018

Predicting House Price With a Memristor-Based Artificial Neural Network.

Junjie Wang, Shaogang Hu, X. T. Zhan, Q. Luo, Qi Yu, Zhen Liu, Tupei Chen, Y. Yin, Sumio Hosaka, Yang Liu

IEEE Access, 2018

Realization of a Power-Efficient Transmitter Based on Integrated Artificial Neural Network.

Deyu Kong, Shaogang Hu, Yuancong Wu, Junjie Wang, Canlong Xiong, Qi Yu, Zhengyu Shi, Zhen Liu, Tupei Chen, You Yin, Sumio Hosaka, Yang Liu

IEEE Access, 2018