Modeling of a dynamic dual-input dual-output fast steeringmirror system. - 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 (Frontiers Inf. Technol. Electron. Eng., 2017)

An Improved PSO Algorithm with an Area-Oriented Learning Strategy. - Tengjun Liu; Jinzhuo Chen; Yuelin Rong; Yuting Zheng; Lijing Tan (ICIC (3), 2019)

Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key. - Tengjun Liu; Ying Chen; Wanxuan Gu (AAAI, 2023)

A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding. - Tuoru Li; Jie Yang 033; Tengjun Liu; Shurong Dong; Chaoming Fang; Weidong Chen; Shaomin Zhang (BioCAS, 2023)

Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike Trains. - Tengjun Liu; Yuxiao Ning; Pengfu Liu; Yiwei Zhang; Yansong Chua; Weidong Chen; Shaomin Zhang (EMBC, 2023)

Transfer Learning based Efficient Schizophrenia Classification on Electroencephalogram (EEG) Signals: A Cross-Dataset Study. - Tengjun Liu; Yaoyun Zhang; Yunying Wu; Tuoru Li; Zihao Li; Weidong Chen; Shaomin Zhang (ICBBT, 2023)

Deniable Diffusion Generative Steganography. - Tengjun Liu; Ying Chen; Wanxuan Gu (ICME, 2023)

Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation. - Tengjun Liu; Yansong Chua; Yiwei Zhang; Yuxiao Ning; Pengfu Liu; Guihua Wan; Zijun Wan; Shaomin Zhang; Weidong Chen 002 (CoRR, 2023)

The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study. - Zijun Wan; Tengjun Liu; Xingchen Ran; Pengfu Liu; Weidong Chen 002; Shaomin Zhang (Frontiers Comput. Neurosci., 2023)

A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses. - Shiqi Zhao; Jie Yang 033; Junzhe Wang; Chaoming Fang; Tengjun Liu; Shaomin Zhang; Mohamad Sawan (IEEE Trans. Biomed. Circuits Syst., 2023)

Decoding Finger Velocity from Cortical Spike Trains with Recurrent Spiking Neural Networks. - Tengjun Liu; Julia Gygax; Julian Rossbroich; Yansong Chua; Shaomin Zhang; Friedemann Zenke (BioCAS, 2024)

motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains. - Tengjun Liu; Yansong Chua; Yuxiao Ning; Pengfu Liu; Yiwei Zhang; Tuoru Li; Guihua Wan; Zijun Wan; Weidong Chen 002; Shaomin Zhang (Biomed. Signal Process. Control., 2025)

Enhancing semantics consistency via hybrid attention fusion in multimodal sentiment analysis of short videos. - Xuanchi Gong; Ziyang Xue; Tengjun Liu; Yubao Sun; Yifan Zhang (Multim. Syst., 2025)