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Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation Journal article
ACM Transactions on Multimedia Computing, Communications and Applications, 2022,Volume: 18,Issue: 3
Authors:  Li, Jinfeng;  Liu, Weifeng;  Zhou, Yicong;  Yu, Jun;  Tao, Dapeng;  Xu, Changsheng
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Domain Adaptation  Domain-invariant Graph  Few Labeled Source Samples  The Nyström Method  
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities Conference paper
Madrid, Spain, July 11th to 15th, 2022
Authors:  Jiandian Zeng;  Tianyi Liu;  Jiantao Zhou
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Graph-based sparse bayesian broad learning system for semi-supervised learning Journal article
Information Sciences, 2022,Volume: 597,Page: 193-210
Authors:  Xu, Lili;  Philip Chen, C. L.;  Han, Ruizhi
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Classification  Fast Marginal Likelihood Maximization  Graph-based Model  Manifold Regularization  Semi-supervised Learning  Sparse Bayesian Broad Learning System  
English Textbook Selection in Taiwan: Voices of Two Book Sales Representatives Journal article
Education Research International, 2022,Volume: 2022,Page: 1-6
Authors:  Barry Lee Reynolds;  Xuan Van Ha;  Melissa H. Yu
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Semi-supervised Drifted Stream Learning with Short Lookback Conference paper
Washington D.C., 2022-08-14
Authors:  Weijieying Ren;  Pengyang Wang;  Xiaolin Li;  Charles E. Hughes;  Yanjie Fu
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LMSVCR: novel effective method of semi-supervised multi-classification Journal article
Neural Computing and Applications, 2022,Volume: 34,Issue: 5,Page: 3857-3873
Authors:  Dong, Zijie;  Qin, Yimo;  Zou, Bin;  Xu, Jie;  Tang, Yuan Yan
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Laplacian Svm  Learning Rate  Multi-classification  Semi-supervised Learning  Support Vector Classification-regression  
A Simple yet Effective Layered Loss for Pre-training of Network Embedding Journal article
IEEE Transactions on Network Science and Engineering, 2022
Authors:  Chen, Junyang;  Li, Xueliang;  Li, Yuanman;  Li, Paul;  Wang, Mengzhu;  Zhang, Xiang;  Gong, Zhiguo;  Wu, Kaishun;  Leung, Victor C.M.
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Graph Neural Networks  Layered Loss  Network Embedding  Pre-training Of Unlabeled Nodes  
Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network Journal article
IEEE Transactions on Intelligent Transportation Systems, 2022
Authors:  Su, Yuchao;  Du, Jie;  Li, Yuanman;  Li, Xia;  Liang, Rongqin;  Hua, Zhongyun;  Zhou, Jiantao
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Asymmetric Interactions.  Cooperative Intelligent Transportation Systems  Directed Graph Convolutional Neural Network  Directed Graphs  Feature Extraction  Forecasting  Generative Adversarial Networks  Predictive Models  Topology  Trajectory  Trajectory Prediction  
Incentivizing Semi-Supervised Vehicular Federated Learning: A Multi-Dimensional Contract Approach with Bounded Rationality Journal article
IEEE Internet of Things Journal, 2022
Authors:  Ye, Dongdong;  Huang, Xumin;  Wu, Yuan;  Yu, Rong
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Collaborative Work  Contracts  Convergence  Costs  Data Models  Multi-dimensional Contract Theory  Prospect Theory.  Semi-supervised Federated Learning  Servers  Training  Vehicular Edge Computing  
Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network Journal article
Journal of Cheminformatics, 2021,Volume: 13,Issue: 1
Authors:  Chen, Jiarui;  Si, Yain Whar;  Un, Chon Wai;  Siu, Shirley W.I.
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Admet  Chemical Toxicity  Deep Learning  Graph Convolutional Neural Network  Mean Teacher  Semi-supervised Learning  Tox21