Lihong Cao

According to our database, Lihong Cao authored at least 28 papers between 2012 and 2024.

Collaborative distances:

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

2024

Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades.

Qiuxia Lai, Ailing Zeng, Ye Wang, Lihong Cao, Yu Li, Qiang Xu

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Textual emotion classification using MPNet and cascading broad learning.

Lihong Cao, Rong Zeng, Sancheng Peng, Aimin Yang, Jianwei Niu, Shui Yu

Neural Networks, 2024

A Brain-inspired Method for Occluded 3D Object Recognition.

Zining Wan, Jiahong Zhang, Lihong Cao

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

EEG-based visual stimuli classification via reusable LSTM.

Yaling Deng, Shuo Ding, Wenyi Li, Qiuxia Lai, Lihong Cao

Biomed. Signal Process. Control., April, 2023

Multi-source domain adaptation method for textual emotion classification using deep and broad learning.

Sancheng Peng, Rong Zeng, Lihong Cao, Aimin Yang, Jianwei Niu, Chengqing Zong, Guodong Zhou

Knowl. Based Syst., 2023

Research of Multidimensional Adversarial Examples in LLMs for Recognizing Ethics and Security Issues.

Kainan Liu, Yifan Li, Lihong Cao, Danni Tu, Zhi Fang, Yusong Zhang

Proceedings of the Computer Science and Education. Educational Digitalization, 2023

Extracting the Brain-Like Representation by an Improved Self-Organizing Map for Image Classification.

Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu

Proceedings of the IEEE International Conference on Acoustics, 2023

BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition.

Jiahong Zhang, Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

NHNet: A non-local hierarchical network for image denoising.

Jiahong Zhang, Lihong Cao, Tian Wang, Wenlong Fu, Weiheng Shen

IET Image Process., 2022

A survey on deep learning for textual emotion analysis in social networks.

Sancheng Peng, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Aimin Yang, Xinguang Li, Weijia Jia, Shui Yu

Digit. Commun. Networks, 2022

$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks.

Guanghao Chen, Sancheng Peng, Rong Zeng, Zhongwang Hu, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Xiangyu Nie

Big Data Min. Anal., 2022

A Multi-Head Convolutional Neural Network with Multi-Path Attention Improves Image Denoising.

Jiahong Zhang, Meijun Qu, Ye Wang, Lihong Cao

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

2021

Aspect-level sentiment analysis using context and aspect memory network.

Yanxia Lv, Fangna Wei, Lihong Cao, Sancheng Peng, Jianwei Niu, Shui Yu, Cuirong Wang

Neurocomputing, 2021

Predicting Spike Features of Hodgkin-Huxley-Type Neurons With Simple Artificial Neural Network.

Tian Wang, Ye Wang, Jiamin Shen, Lei Wang, Lihong Cao

Frontiers Comput. Neurosci., 2021

A Simplified Plasticity Model Based on Synaptic Tagging and Capture Theory: Simplified STC.

Yiwen Ding, Ye Wang, Lihong Cao

Frontiers Comput. Neurosci., 2021

DRNet: A Deep Neural Network With Multi-Layer Residual Blocks Improves Image Denoising.

Jiahong Zhang, Yonggui Zhu, Wenyi Li, Wenlong Fu, Lihong Cao

IEEE Access, 2021

A Biologically Plausible Audio-Visual Integration Model for Continual Learning.

Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao

Proceedings of the International Joint Conference on Neural Networks, 2021

Implementation of Multi-compartment Neuron Model with Synaptic Plasticity Using FPGA.

Yiwen Ding, Wenlong Fu, Lihong Cao

Proceedings of the 21st International Conference on Communication Technology, 2021

Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classification.

Wenjie Chen, Shuang Ran, Tian Wang, Lihong Cao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

A biological plausible audio-visual integration model for continual lifelong learning.

Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao

CoRR, 2020

Challenges and Trends of Android Malware Detection in the Era of Deep Learning.

Sancheng Peng, Lihong Cao, Yongmei Zhou, Jianguo Xie, Pengfei Yin, Jianli Mo

Proceedings of the 8th IEEE International Conference on Smart City and Informatization, 2020

A Survey of Emotion Analysis in Text Based on Deep Learning.

Lihong Cao, Sancheng Peng, Pengfei Yin, Yongmei Zhou, Aimin Yang, Xinguang Li

Proceedings of the 8th IEEE International Conference on Smart City and Informatization, 2020

2019

Implementation of Hodgkin-Huxley Spiking Neuron Model Using FPGA.

Zexuan Yi, Wenlong Fu, Lihong Cao

Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

2018

Influence analysis in social networks: A survey.

Sancheng Peng, Yongmei Zhou, Lihong Cao, Shui Yu, Jianwei Niu, Weijia Jia

J. Netw. Comput. Appl., 2018

Predicting spikes with artificial neural network.

Lihong Cao, Jiamin Shen, Lei Wang, Ye Wang

Sci. China Inf. Sci., 2018

Predropout & Inhibition: A Brain-Inspired Method for Convolutional Neural Network.

Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao

Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017

Social influence modeling using information theory in mobile social networks.

Sancheng Peng, Aimin Yang, Lihong Cao, Shui Yu, Dongqing Xie

Inf. Sci., 2017

2012

An Auction Approach to Resource Allocation in OFDM-Based Cognitive Radio Networks.

Lihong Cao, Wenjun Xu, Jiaru Lin, Kai Niu, Zhiqiang He

Proceedings of the 75th IEEE Vehicular Technology Conference, 2012