Lihong Cao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 29

Top Topics

Image Denoising

Biologically Plausible

Top Venues

Frontiers Comput. Neurosci.

Publications

Lihong Cao, Rong Zeng, Sancheng Peng, Aimin Yang, Jianwei Niu, Shui Yu
Textual emotion classification using MPNet and cascading broad learning. Neural Networks 179 (2024)
Qiuxia Lai, Ailing Zeng, Ye Wang, Lihong Cao, Yu Li, Qiang Xu
Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Kainan Liu, Yifan Li, Lihong Cao, Danni Tu, Zhi Fang, Yusong Zhang
Research of Multidimensional Adversarial Examples in LLMs for Recognizing Ethics and Security Issues. ICCSE (3) (2023)
Yaling Deng, Shuo Ding, Wenyi Li, Qiuxia Lai, Lihong Cao
EEG-based visual stimuli classification via reusable LSTM. Biomed. Signal Process. Control. 82 (2023)
Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification. CoRR (2023)
Jiahong Zhang, Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition. AAAI (2023)
Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu
Extracting the Brain-Like Representation by an Improved Self-Organizing Map for Image Classification. ICASSP (2023)
Jiahong Zhang, Lihong Cao, Qiuxia Lai, Binyao Li, Yunxiao Qin
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition. CoRR (2023)
Sancheng Peng, Rong Zeng, Lihong Cao, Aimin Yang, Jianwei Niu, Chengqing Zong, Guodong Zhou
Multi-source domain adaptation method for textual emotion classification using deep and broad learning. Knowl. Based Syst. 260 (2023)
Jiahong Zhang, Meijun Qu, Ye Wang, Lihong Cao
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising. CoRR (2022)
Jiahong Zhang, Meijun Qu, Ye Wang, Lihong Cao
A Multi-Head Convolutional Neural Network with Multi-Path Attention Improves Image Denoising. PRICAI (3) (2022)
Sancheng Peng, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Aimin Yang, Xinguang Li, Weijia Jia, Shui Yu
A survey on deep learning for textual emotion analysis in social networks. Digit. Commun. Networks 8 (5) (2022)
Guanghao Chen, Sancheng Peng, Rong Zeng, Zhongwang Hu, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Xiangyu Nie
$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks. Big Data Min. Anal. 5 (3) (2022)
Jiahong Zhang, Lihong Cao, Tian Wang, Wenlong Fu, Weiheng Shen
NHNet: A non-local hierarchical network for image denoising. IET Image Process. 16 (9) (2022)
Tian Wang, Ye Wang, Jiamin Shen, Lei Wang, Lihong Cao
Predicting Spike Features of Hodgkin-Huxley-Type Neurons With Simple Artificial Neural Network. Frontiers Comput. Neurosci. 15 (2021)
Wenjie Chen, Shuang Ran, Tian Wang, Lihong Cao
Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classification. ICANN (2) (2021)
Yiwen Ding, Ye Wang, Lihong Cao
A Simplified Plasticity Model Based on Synaptic Tagging and Capture Theory: Simplified STC. Frontiers Comput. Neurosci. 15 (2021)
Yanxia Lv, Fangna Wei, Lihong Cao, Sancheng Peng, Jianwei Niu, Shui Yu, Cuirong Wang
Aspect-level sentiment analysis using context and aspect memory network. Neurocomputing 428 (2021)
Yiwen Ding, Wenlong Fu, Lihong Cao
Implementation of Multi-compartment Neuron Model with Synaptic Plasticity Using FPGA. ICCT (2021)
Jiahong Zhang, Yonggui Zhu, Wenyi Li, Wenlong Fu, Lihong Cao
DRNet: A Deep Neural Network With Multi-Layer Residual Blocks Improves Image Denoising. IEEE Access 9 (2021)
Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao
A Biologically Plausible Audio-Visual Integration Model for Continual Learning. IJCNN (2021)
Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao
A biological plausible audio-visual integration model for continual lifelong learning. CoRR (2020)
Sancheng Peng, Lihong Cao, Yongmei Zhou, Jianguo Xie, Pengfei Yin, Jianli Mo
Challenges and Trends of Android Malware Detection in the Era of Deep Learning. iSCI (2020)
Lihong Cao, Sancheng Peng, Pengfei Yin, Yongmei Zhou, Aimin Yang, Xinguang Li
A Survey of Emotion Analysis in Text Based on Deep Learning. iSCI (2020)
Zexuan Yi, Wenlong Fu, Lihong Cao
Implementation of Hodgkin-Huxley Spiking Neuron Model Using FPGA. ICCT (2019)
Lihong Cao, Jiamin Shen, Lei Wang, Ye Wang
Predicting spikes with artificial neural network. Sci. China Inf. Sci. 61 (6) (2018)
Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao
Predropout & Inhibition: A Brain-Inspired Method for Convolutional Neural Network. CISP-BMEI (2018)
Sancheng Peng, Yongmei Zhou, Lihong Cao, Shui Yu, Jianwei Niu, Weijia Jia
Influence analysis in social networks: A survey. J. Netw. Comput. Appl. 106 (2018)
Sancheng Peng, Aimin Yang, Lihong Cao, Shui Yu, Dongqing Xie
Social influence modeling using information theory in mobile social networks. Inf. Sci. 379 (2017)
Lihong Cao, Wenjun Xu, Jiaru Lin, Kai Niu, Zhiqiang He
An Auction Approach to Resource Allocation in OFDM-Based Cognitive Radio Networks. VTC Spring (2012)