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Tengjun Liu
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2020 – today
- 2025
- [j4]Tengjun Liu, Yansong Chua, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Tuoru Li, Guihua Wan, Zijun Wan, Weidong Chen, Shaomin Zhang:
motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains. Biomed. Signal Process. Control. 99: 106745 (2025) - 2024
- [i2]Tengjun Liu, Julia Gygax, Julian Rossbroich, Yansong Chua, Shaomin Zhang, Friedemann Zenke:
Decoding finger velocity from cortical spike trains with recurrent spiking neural networks. CoRR abs/2409.01762 (2024) - 2023
- [j3]Zijun Wan, Tengjun Liu, Xingchen Ran, Pengfu Liu, Weidong Chen, Shaomin Zhang:
The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study. Frontiers Comput. Neurosci. 17 (2023) - [j2]Shiqi Zhao, Jie Yang, Junzhe Wang, Chaoming Fang, Tengjun Liu, Shaomin Zhang, Mohamad Sawan:
A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses. IEEE Trans. Biomed. Circuits Syst. 17(3): 598-609 (2023) - [c6]Tengjun Liu, Ying Chen, Wanxuan Gu:
Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key. AAAI 2023: 6458-6466 - [c5]Tuoru Li, Jie Yang, Tengjun Liu, Shurong Dong, Chaoming Fang, Weidong Chen, Shaomin Zhang:
A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding. BioCAS 2023: 1-4 - [c4]Tengjun Liu, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Yansong Chua, Weidong Chen, Shaomin Zhang:
Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike Trains. EMBC 2023: 1-4 - [c3]Tengjun Liu, Yaoyun Zhang, Yunying Wu, Tuoru Li, Zihao Li, Weidong Chen, Shaomin Zhang:
Transfer Learning based Efficient Schizophrenia Classification on Electroencephalogram (EEG) Signals: A Cross-Dataset Study. ICBBT 2023: 143-148 - [c2]Tengjun Liu, Ying Chen, Wanxuan Gu:
Deniable Diffusion Generative Steganography. ICME 2023: 67-71 - [i1]Tengjun Liu, Yansong Chua, Yiwei Zhang, Yuxiao Ning, Pengfu Liu, Guihua Wan, Zijun Wan, Shaomin Zhang, Weidong Chen:
Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation. CoRR abs/2303.07830 (2023)
2010 – 2019
- 2019
- [c1]Tengjun Liu, Jinzhuo Chen, Yuelin Rong, Yuting Zheng, Lijing Tan:
An Improved PSO Algorithm with an Area-Oriented Learning Strategy. ICIC (3) 2019: 640-650 - 2017
- [j1]Hong Song, Jiaheng Zhang, Ping Yang, Haocai Huang, Shu-yue Zhan, Tengjun Liu, Yilu Guo, Hangzhou Wang, Hui Huang, Quan-quan Mu, Mei-fen Fang, Mingyuan Yang:
Modeling of a dynamic dual-input dual-output fast steeringmirror system. Frontiers Inf. Technol. Electron. Eng. 18(10): 1488-1498 (2017)
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