Lihong Cao

37 papers A* 1B 2Misc 1Journal 22Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A method for extracting emotion-cause pairs based on bidirectional machine reading comprehension.
Eng. Appl. Artif. Intell.
Guorui Li, Yaxin Wen, Cong Wang, Lihong Cao, Sancheng Peng, Chao Deng
2026 J jnl
Generalized Transferable Attack Across Datasets.
IEEE Trans. Circuits Syst. Video Technol.
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Lihong Cao, Cho-Jui Hsieh
2025 J jnl
A survey on textual emotion cause extraction in social networks.
Digit. Commun. Networks
Sancheng Peng, Lihong Cao, Guo-Jun Wang, Zhouhao Ouyang, Yongmei Zhou, Shui Yu
2025 J jnl
Enabling scale and rotation invariance in convolutional neural networks with retina like transformation.
Neural Networks
Jiahong Zhang, Guoqi Li, Qiaoyi Su, Lihong Cao, Yonghong Tian, Bo Xu
2025 — conf
Memory-Augmented Continuous-Time Neural Policy for Vision-Guided Embodied Navigation.
MMAsia Workshops
Zifan Chen, Jiahong Zhang, Sijun Shen, Wenlong Fu, Lihong Cao
2024 B conf
A Brain-inspired Method for Occluded 3D Object Recognition.
IJCNN
Zining Wan, Jiahong Zhang, Lihong Cao
2024 — conf
Prompt-based Continual Learning for Extending Pretrained CLIP Models' Knowledge.
MMAsia
Li Jiao, Lihong Cao, Tian Wang
2024 J jnl
Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades.
IEEE Trans. Circuits Syst. Video Technol.
Qiuxia Lai, Ailing Zeng, Ye Wang, Lihong Cao, Yu Li, Qiang Xu
2024 J jnl
Textual emotion classification using MPNet and cascading broad learning.
Neural Networks
Lihong Cao, Rong Zeng, Sancheng Peng, Aimin Yang, Jianwei Niu, Shui Yu
2023 A* conf
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition.
AAAI
Jiahong Zhang, Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin
2023 J jnl
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition.
CoRR
Jiahong Zhang, Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin
2023 J jnl
EEG-based visual stimuli classification via reusable LSTM.
Biomed. Signal Process. Control.
Yaling Deng, Shuo Ding, Wenyi Li, Qiuxia Lai, Lihong Cao
2023 Misc conf
Extracting the Brain-Like Representation by an Improved Self-Organizing Map for Image Classification.
ICASSP
Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu
2023 J jnl
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification.
CoRR
Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu
2023 J jnl
Multi-source domain adaptation method for textual emotion classification using deep and broad learning.
Knowl. Based Syst.
Sancheng Peng, Rong Zeng, Lihong Cao, Aimin Yang, Jianwei Niu, Chengqing Zong, Guodong Zhou
2023 — conf
Research of Multidimensional Adversarial Examples in LLMs for Recognizing Ethics and Security Issues.
ICCSE (3)
Kainan Liu, Yifan Li, Lihong Cao, Danni Tu, Zhi Fang, Yusong Zhang
2022 J jnl
$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks.
Big Data Min. Anal.
Guanghao Chen, Sancheng Peng, Rong Zeng, Zhongwang Hu, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Xiangyu Nie
2022 J jnl
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising.
CoRR
Jiahong Zhang, Meijun Qu, Ye Wang, Lihong Cao
2022 — conf
A Multi-Head Convolutional Neural Network with Multi-Path Attention Improves Image Denoising.
PRICAI (3)
Jiahong Zhang, Meijun Qu, Ye Wang, Lihong Cao
2022 J jnl
A survey on deep learning for textual emotion analysis in social networks.
Digit. Commun. Networks
Sancheng Peng, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Aimin Yang, XinGuang Li, Weijia Jia, Shui Yu
2022 J jnl
NHNet: A non-local hierarchical network for image denoising.
IET Image Process.
Jiahong Zhang, Lihong Cao, Tian Wang, Wenlong Fu, Weiheng Shen
2021 B conf
A Biologically Plausible Audio-Visual Integration Model for Continual Learning.
IJCNN
Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao
2021 J jnl
A Simplified Plasticity Model Based on Synaptic Tagging and Capture Theory: Simplified STC.
Frontiers Comput. Neurosci.
Yiwen Ding, Ye Wang, Lihong Cao
2021 J jnl
Aspect-level sentiment analysis using context and aspect memory network.
Neurocomputing
Yanxia Lv, Fangna Wei, Lihong Cao, Sancheng Peng, Jianwei Niu, Shui Yu, Cuirong Wang
2021 J jnl
DRNet: A Deep Neural Network With Multi-Layer Residual Blocks Improves Image Denoising.
IEEE Access
Jiahong Zhang, Yonggui Zhu, Wenyi Li, Wenlong Fu, Lihong Cao
2021 — conf
Implementation of Multi-compartment Neuron Model with Synaptic Plasticity Using FPGA.
ICCT
Yiwen Ding, Wenlong Fu, Lihong Cao
2021 — conf
Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classification.
ICANN (2)
Wenjie Chen, Shuang Ran, Tian Wang, Lihong Cao
2021 J jnl
Predicting Spike Features of Hodgkin-Huxley-Type Neurons With Simple Artificial Neural Network.
Frontiers Comput. Neurosci.
Tian Wang, Ye Wang, Jiamin Shen, Lei Wang, Lihong Cao
2020 — conf
A Survey of Emotion Analysis in Text Based on Deep Learning.
iSCI
Lihong Cao, Sancheng Peng, Pengfei Yin, Yongmei Zhou, Aimin Yang, XinGuang Li
2020 J jnl
A biological plausible audio-visual integration model for continual lifelong learning.
CoRR
Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao
2020 — conf
Challenges and Trends of Android Malware Detection in the Era of Deep Learning.
iSCI
Sancheng Peng, Lihong Cao, Yongmei Zhou, Jianguo Xie, Pengfei Yin, Jianli Mo
2019 — conf
Implementation of Hodgkin-Huxley Spiking Neuron Model Using FPGA.
ICCT
Zexuan Yi, Wenlong Fu, Lihong Cao
2018 J jnl
Influence analysis in social networks: A survey.
J. Netw. Comput. Appl.
Sancheng Peng, Yongmei Zhou, Lihong Cao, Shui Yu, Jianwei Niu, Weijia Jia
2018 J jnl
Predicting spikes with artificial neural network.
Sci. China Inf. Sci.
Lihong Cao, Jiamin Shen, Lei Wang, Ye Wang
2018 — conf
Predropout & Inhibition: A Brain-Inspired Method for Convolutional Neural Network.
CISP-BMEI
Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao
2017 J jnl
Social influence modeling using information theory in mobile social networks.
Inf. Sci.
Sancheng Peng, Aimin Yang, Lihong Cao, Shui Yu, Dongqing Xie
2012 — conf
An Auction Approach to Resource Allocation in OFDM-Based Cognitive Radio Networks.
VTC Spring
Lihong Cao, Wenjun Xu, Jiaru Lin, Kai Niu, Zhiqiang He