A Cascade Method for Reducing Training Time and the Number of Support Vectors. - Yimin Wen; Bao-Liang Lu (ISNN (1), 2004)

A Hierarchical and Parallel Method for Training Support Vector Machines. - Yimin Wen; Bao-Liang Lu (ISNN (1), 2005)

A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines. - Yimin Wen; Bao-Liang Lu (ISNN (3), 2007)

Incremental Learning of Support Vector Machines by Classifier Combining. - Yimin Wen; Bao-Liang Lu (PAKDD, 2007)

Predicting the Next Scenic Spot a User Will Browse on a Tourism Website Based on Markov Prediction Model. - Yifan Shi; Yimin Wen; Zhigang Fan 002; Yuqing Miao (ICTAI, 2013)

Novel Class Detection within Classification for Data Streams. - Yuqing Miao; Liangpei Qiu; Hong Chen; Jingxin Zhang 004; Yimin Wen (ISNN (2), 2013)

A Fast Algorithm for Clustering with MapReduce. - Yuqing Miao; Jinxing Zhang; Hao Feng; Liangpei Qiu; Yimin Wen (ISNN (1), 2013)

Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy. - Zhongwei Shi; Yimin Wen; Chao Feng; Hai Zhao (ICDM Workshops, 2014)

Efficient class incremental learning for multi-label classification of evolving data streams. - Zhongwei Shi; Yun Xue; Yimin Wen; Guoyong Cai (IJCNN, 2014)

Adding the sentiment attribute of nodes to improve link prediction in social network. - Shaoliang Shi; Yunpeng Li; Yimin Wen; Wu Xie (FSKD, 2015)

基于概率相关性的多标签数据流变化检测 (Detection of Multi-label Data Streams Change Based on Probability of Relevance). - Zhongwei Shi; Yimin Wen (计算机科学, 2015)

基于颜色和空间距离的显著性区域固定阈值分割算法 (Color and Space Distance Based Salient Region Detection Using Fixed Threshold Segmentation). - Kun Qian; Fang Li; Yimin Wen (计算机科学, 2016)

A multi-objective particle swarm optimization data scheduling algorithm for peer-to-peer video streaming. - Pingshan Liu; Xiaoyi Xiong; Guimin Huang; Yimin Wen (ICNC-FSKD, 2017)

Predicting Learning Effect by Learner's Behavior in MOOCs. - Ye Tian; Yimin Wen; Xinhe Yi; Xi Yang; Yuqing Miao (IDEAL, 2017)

Multi-source Domain Adaptation for Face Recognition. - Haiyang Yi; Zhi Xu 005; Yimin Wen; Zhigang Fan 002 (ICPR, 2018)

Attribute Reduction Algorithm Based on Improved Information Gain Rate and Ant Colony Optimization. - Jipeng Wei; Qianjin Wei; Yimin Wen (PAKDD (3), 2018)

Image set-based classification using collaborative exemplars representation. - Zhi Xu 005; Guoyong Cai; Yimin Wen; Dongdong Chen; Liyao Han (Signal Image Video Process., 2018)

MOPSO-based Data Scheduling Scheme for P2P Streaming Systems. - Pingshan Liu; Yaqing Fan; Xiaoyi Xiong; Yimin Wen; Dianjie Lu (KSII Trans. Internet Inf. Syst., 2019)

概念漂移数据流分类中的多源在线迁移学习算法 (Multi-source Online Transfer Learning Algorithm for Classification of Data Streams with Concept Drift). - Yixiu Qin; Yimin Wen; Qian He (计算机科学, 2019)

Online transfer learning with multiple decision trees. - Yimin Wen; Yixiu Qin; Keke Qin; Xiaoxia Lu; Pingshan Liu (Int. J. Mach. Learn. Cybern., 2019)

Semi-supervised Classification of Data Streams Based on Adaptive Density Peak Clustering. - Changjie Liu; Yimin Wen; Yun Xue (ICONIP (2), 2020)

Transfer Learning for Semi-supervised Classification of Non-stationary Data Streams. - Yimin Wen; Qi Zhou; Yun Xue; Chao Feng (ICONIP (5), 2020)

T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning. - Libing Wang; Li He; Junyu Li; Deane Zeng; Yimin Wen (IDEAL, 2021)

A new semi-supervised inductive transfer learning framework: Co-Transfer. - Zhe Yuan; Yimin Wen (CoRR, 2021)

Gallery-sensitive single sample face recognition based on domain adaptation. - Yimin Wen; Haiyang Yi; Zhigang Fan 002; Zhi Xu 005; Yun Xue; Yujian Li (Neurocomputing, 2021)

Minimum attribute reduction algorithm based on quick extraction and multi-strategy social spider optimization. - Qianjin Wei; Chengxian Wang; Yimin Wen (J. Intell. Fuzzy Syst., 2021)

Cluster-based spatiotemporal dual self-adaptive network for short-term subway passenger flow forecasting. - Qianjin Wei; Yongheng Qiu; Yimin Wen (Appl. Intell., 2022)

Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. - Hang Yu 006; Qingyong Zhang; Tianyu Liu; Jie Lu 001; Yimin Wen; Guangquan Zhang 001 (Inf. Sci., 2022)

Semi-supervised Classification on Data Streams with Recurring Concept Drift Based on Conformal Prediction. - Shilun Ma; Wei Kang; Yun Xue; Yimin Wen (ICONIP (15), 2023)

Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts. - Xingzhi Zhou 003; Xiang Liu; Yimin Wen (IDEAL, 2023)

Empathetic Dialogue Generation with Contrastive Learning and Multi-Source Information Fusion. - Yuqing Miao; Chenggang Lu; Tonglai Liu; Wanzhen Zhang; Yimin Wen; Ming Zhou (PAAP, 2023)

Multimodal Sentiment Analysis based on Supervised Contrastive Learning and Cross-modal Translation under Modalities Missing*. - Yuqing Miao; Gaowei Zhu; Tonglai Liu; Wanzhen Zhang; Yimin Wen; Ming Zhou (PAAP, 2023)

Detecting group concept drift from multiple data streams. - Hang Yu 006; Weixu Liu; Jie Lu 001; Yimin Wen; Xiangfeng Luo; Guangquan Zhang 001 (Pattern Recognit., 2023)

Vietnamese Scene Text Detection via Edge Information and Text Region Feature Enhancement. - Liyu Jiang; Shaoliang Shi; Wenhui Huang; Zhengli Xu; Vinh Loc Cu; Yimin Wen (ICPR (20), 2024)

Focusing on diacritics to improve Vietnamese scene text detection. - Wenhui Huang; Shaoliang Shi; Yimin Wen (IJCNN, 2024)

SHGNN: A Substructure-Aware and High Expressive Graph Neural Network for Graph Classification. - Jinyong Sun; Zhiwei Dong; Zhigang Sun; Yimin Wen; Xiang Zhao 003 (NCAA (1), 2024)

Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts. - Yimin Wen; Xiang Liu; Hang Yu 006 (Knowl. Based Syst., 2024)

Multi-behavior-based graph contrastive learning recommendation. - Chenzhong Bin; Weiliang Li; Fangjian Wu; Liang Chang 003; Yimin Wen (Knowl. Inf. Syst., 2024)

TourismNER: A Tourism Named Entity Recognition method based on entity boundary joint prediction. - Kai Gao; Jiahao Zhou; Yunxian Chi; Yimin Wen (Intell. Syst. Appl., 2025)