Tengjun Liu - RankMe

15 papers A* 1A 2Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing semantics consistency via hybrid attention fusion in multimodal sentiment analysis of short videos. Multim. Syst. Xuanchi Gong, Ziyang Xue, Tengjun Liu, Yubao Sun, Yifan Zhang
2025	A	`conf`	Mimicing Real-world Knowledge to Generate 3D Adversarial Point Clouds. ICME Tengjun Liu, Qianbin Guo, Xuanchi Gong, Huan Zhang, Xianyi Chen
2025	J	`jnl`	motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains. Biomed. Signal Process. Control. Tengjun Liu, Yansong Chua, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Tuoru Li, Guihua Wan, Zijun Wan, Weidong Chen, Shaomin Zhang
2024	—	`conf`	Decoding Finger Velocity from Cortical Spike Trains with Recurrent Spiking Neural Networks. BioCAS Tengjun Liu, Julia Gygax, Julian Rossbroich, Yansong Chua, Shaomin Zhang, Friedemann Zenke
2024	J	`jnl`	Decoding finger velocity from cortical spike trains with recurrent spiking neural networks. CoRR Tengjun Liu, Julia Gygax, Julian Rossbroich, Yansong Chua, Shaomin Zhang, Friedemann Zenke
2023	J	`jnl`	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. Shiqi Zhao, Jie Yang, Junzhe Wang, Chaoming Fang, Tengjun Liu, Shaomin Zhang, Mohamad Sawan
2023	—	`conf`	A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding. BioCAS Tuoru Li, Jie Yang, Tengjun Liu, Shurong Dong, Chaoming Fang, Weidong Chen, Shaomin Zhang
2023	A*	`conf`	Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key. AAAI Tengjun Liu, Ying Chen, Wanxuan Gu
2023	A	`conf`	Deniable Diffusion Generative Steganography. ICME Tengjun Liu, Ying Chen, Wanxuan Gu
2023	J	`jnl`	Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation. CoRR Tengjun Liu, Yansong Chua, Yiwei Zhang, Yuxiao Ning, Pengfu Liu, Guihua Wan, Zijun Wan, Shaomin Zhang, Weidong Chen
2023	—	`conf`	Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike Trains. EMBC Tengjun Liu, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Yansong Chua, Weidong Chen, Shaomin Zhang
2023	J	`jnl`	The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study. Frontiers Comput. Neurosci. Zijun Wan, Tengjun Liu, Xingchen Ran, Pengfu Liu, Weidong Chen, Shaomin Zhang
2023	—	`conf`	Transfer Learning based Efficient Schizophrenia Classification on Electroencephalogram (EEG) Signals: A Cross-Dataset Study. ICBBT Tengjun Liu, Yaoyun Zhang, Yunying Wu, Tuoru Li, Zihao Li, Weidong Chen, Shaomin Zhang
2019	—	`conf`	An Improved PSO Algorithm with an Area-Oriented Learning Strategy. ICIC (3) Tengjun Liu, Jinzhuo Chen, Yuelin Rong, Yuting Zheng, Lijing Tan
2017	J	`jnl`	Modeling of a dynamic dual-input dual-output fast steeringmirror system. Frontiers Inf. Technol. Electron. Eng. Hong Song, Jiaheng Zhang, Ping Yang, Haocai Huang, Shu-yue Zhan, Tengjun Liu, Yilu Guo, Hangzhou Wang, Hui Huang, Quanquan Mu, Mei-fen Fang, Mingyuan Yang