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2020 – today
- 2024
[j14]Lihong Cao, Rong Zeng, Sancheng Peng
, Aimin Yang, Jianwei Niu, Shui Yu:
Textual emotion classification using MPNet and cascading broad learning. Neural Networks 179: 106582 (2024)- [j13]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): 6634-6645 (2024) - [c13]Zining Wan, Jiahong Zhang, Lihong Cao:
A Brain-inspired Method for Occluded 3D Object Recognition. IJCNN 2024: 1-8 - 2023
- [j12]Yaling Deng, Shuo Ding, Wenyi Li, Qiuxia Lai, Lihong Cao:
EEG-based visual stimuli classification via reusable LSTM. Biomed. Signal Process. Control. 82: 104588 (2023) - [j11]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: 110173 (2023) - [c12]Jiahong Zhang, Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin:
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition. AAAI 2023: 15296-15304 - [c11]Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu:
Extracting the Brain-Like Representation by an Improved Self-Organizing Map for Image Classification. ICASSP 2023: 1-5 - [c10]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: 286-302 - [i4]Jiahong Zhang, Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin:
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition. CoRR abs/2303.01309 (2023) - [i3]Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu:
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification. CoRR abs/2303.09035 (2023) - 2022
- [j10]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): 245-256 (2022) - [j9]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): 745-762 (2022) - [j8]Jiahong Zhang, Lihong Cao, Tian Wang, Wenlong Fu, Weiheng Shen:
NHNet: A non-local hierarchical network for image denoising. IET Image Process. 16(9): 2446-2456 (2022) - [c9]Jiahong Zhang, Meijun Qu, Ye Wang, Lihong Cao:
A Multi-Head Convolutional Neural Network with Multi-Path Attention Improves Image Denoising. PRICAI (3) 2022: 338-351 - [i2]Jiahong Zhang, Meijun Qu, Ye Wang, Lihong Cao:
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising. CoRR abs/2204.12736 (2022) - 2021
- [j7]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: 79936-79946 (2021) - [j6]Yiwen Ding, Ye Wang, Lihong Cao:
A Simplified Plasticity Model Based on Synaptic Tagging and Capture Theory: Simplified STC. Frontiers Comput. Neurosci. 15: 798418 (2021) - [j5]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: 800875 (2021) - [j4]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: 195-205 (2021) - [c8]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: 118-130 - [c7]Yiwen Ding, Wenlong Fu, Lihong Cao:
Implementation of Multi-compartment Neuron Model with Synaptic Plasticity Using FPGA. ICCT 2021: 1008-1012 - [c6]Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao:
A Biologically Plausible Audio-Visual Integration Model for Continual Learning. IJCNN 2021: 1-8 - 2020
- [c5]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: 37-43 - [c4]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: 81-88 - [i1]Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao:
A biological plausible audio-visual integration model for continual lifelong learning. CoRR abs/2007.08855 (2020)
2010 – 2019
- 2019
- [c3]Zexuan Yi, Wenlong Fu, Lihong Cao:
Implementation of Hodgkin-Huxley Spiking Neuron Model Using FPGA. ICCT 2019: 1535-1539 - 2018
- [j3]Lihong Cao, Jiamin Shen, Lei Wang, Ye Wang:
Predicting spikes with artificial neural network. Sci. China Inf. Sci. 61(6): 060428:1-060428:3 (2018) - [j2]Sancheng Peng, Yongmei Zhou, Lihong Cao, Shui Yu, Jianwei Niu, Weijia Jia:
Influence analysis in social networks: A survey. J. Netw. Comput. Appl. 106: 17-32 (2018) - [c2]Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao:
Predropout & Inhibition: A Brain-Inspired Method for Convolutional Neural Network. CISP-BMEI 2018: 1-5 - 2017
- [j1]Sancheng Peng, Aimin Yang, Lihong Cao, Shui Yu, Dongqing Xie:
Social influence modeling using information theory in mobile social networks. Inf. Sci. 379: 146-159 (2017) - 2012
- [c1]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: 1-5
Coauthor Index
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last updated on 2024-09-21 01:43 CEST by the dblp team
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