Lihong Cao

Orcid: 0000-0002-3866-2734

According to our database¹, Lihong Cao authored at least 34 papers between 2012 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2026

Generalized Transferable Attack Across Datasets.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., January, 2026

A method for extracting emotion-cause pairs based on bidirectional machine reading comprehension.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2026

2025

Enabling scale and rotation invariance in convolutional neural networks with retina like transformation.

[BibT_eX]

[DOI]

Neural Networks, 2025

A survey on textual emotion cause extraction in social networks.

[BibT_eX]

[DOI]

Digit. Commun. Networks, 2025

Memory-Augmented Continuous-Time Neural Policy for Vision-Guided Embodied Navigation.

[BibT_eX]

[DOI]

Proceedings of the MMAsia '25 Workshops: Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

2024

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

[BibT_eX]

[DOI]

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

Textual emotion classification using MPNet and cascading broad learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

Prompt-based Continual Learning for Extending Pretrained CLIP Models' Knowledge.

[BibT_eX]

[DOI]

Li Jiao

Lihong Cao

Tian Wang

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., April, 2023

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

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

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

IET Image Process., 2022

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

[BibT_eX]

[DOI]

Digit. Commun. Networks, 2022

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

[BibT_eX]

[DOI]

Big Data Min. Anal., 2022

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

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2021

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

[BibT_eX]

[DOI]

Yiwen Ding

Ye Wang

Lihong Cao

Frontiers Comput. Neurosci., 2021

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

[BibT_eX]

[DOI]

IEEE Access, 2021

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

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2019

Implementation of Hodgkin-Huxley Spiking Neuron Model Using FPGA.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2018

Predicting spikes with artificial neural network.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2018

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

[BibT_eX]

[DOI]

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

2017

Social influence modeling using information theory in mobile social networks.

[BibT_eX]

[DOI]

Inf. Sci., 2017

2012

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

[BibT_eX]

[DOI]

Proceedings of the 75th IEEE Vehicular Technology Conference, 2012

Lihong Cao

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