Yimin Wen - RankMe

48 papers A* 2B 5C 4Journal 20Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fair federated learning for weakly supervised nuclei segmentation via feature disentanglement. Pattern Recognit. Yi Qian, Xipeng Pan, Hang Yu, Yimin Wen, Xinjun Bian
2026	J	`jnl`	Joint learning across multi-source datasets for multi-modal emotion recognition under missing modalities. J. Comput. Des. Eng. Zhencheng Li, Sheng-hua Zhong, Yimin Wen, Chen Li, Chi-Man Vong, Chuangquan Chen
2026	J	`jnl`	Modifying SwinTextSpotter for Vietnamese Scene Text Spotting. Data Intell. Yimin Wen, Wenhui Huang, Ruiqi Tian, Liyu Jiang, Lianxi Wang, Vinh Loc Cu
2026	J	`jnl`	Online learning with a hedge-based random vector functional link network using multi-forgetting factors. Neurocomputing Xiang Liu, Yimin Wen, Hang Yu, Chuangquan Chen, Bao-Liang Lu
2025	A*	`conf`	DiffuFuse: Diffusion-Driven Dual-Stream Fusion Framework for Multimodal Sentiment Analysis. ACM Multimedia Xiongjian Lv, Yimin Wen, Hang Yu
2025	—	`conf`	Early Acoustic and Vision Cross-Modal Interaction Learning for Multimal Sentiment Analysis. ICANN (3) Xiongjian Lv, Yimin Wen, Yi Qian, Xiaoyu Li
2025	A*	`conf`	Layer-Wise Unlearning for Model Adaption in Non-Stationary Environments. ICDM Yanbing Zhou, Yimin Wen, Zhanhua Liu, Xiang Liu, Hang Yu, Yikui Zhai
2025	J	`jnl`	Pathology characteristics-aware federated learning for weakly supervised nuclei segmentation. Appl. Soft Comput. Yi Qian, Xipeng Pan, Yimin Wen, Xinjun Bian, Shilong Song
2025	J	`jnl`	TourismNER: A Tourism Named Entity Recognition method based on entity boundary joint prediction. Intell. Syst. Appl. Kai Gao, Jiahao Zhou, Yunxian Chi, Yimin Wen
2024	J	`jnl`	Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts. Knowl. Based Syst. Yimin Wen, Xiang Liu, Hang Yu
2024	B	`conf`	Focusing on diacritics to improve Vietnamese scene text detection. IJCNN Wenhui Huang, Shaoliang Shi, Yimin Wen
2024	J	`jnl`	Multi-behavior-based graph contrastive learning recommendation. Knowl. Inf. Syst. Chenzhong Bin, Weiliang Li, Fangjian Wu, Liang Chang, Yimin Wen
2024	—	`conf`	SHGNN: A Substructure-Aware and High Expressive Graph Neural Network for Graph Classification. NCAA (1) Jinyong Sun, Zhiwei Dong, Zhigang Sun, Yimin Wen, Xiang Zhao
2024	—	`conf`	Vietnamese Scene Text Detection via Edge Information and Text Region Feature Enhancement. ICPR (20) Liyu Jiang, Shaoliang Shi, Wenhui Huang, Zhengli Xu, Vinh Loc Cu, Yimin Wen
2023	C	`conf`	Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts. IDEAL Xingzhi Zhou, Xiang Liu, Yimin Wen
2023	J	`jnl`	Detecting group concept drift from multiple data streams. Pattern Recognit. Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang
2023	—	`conf`	Empathetic Dialogue Generation with Contrastive Learning and Multi-Source Information Fusion. PAAP Yuqing Miao, Chenggang Lu, Tonglai Liu, Wanzhen Zhang, Yimin Wen, Ming Zhou
2023	—	`conf`	Multimodal Sentiment Analysis based on Supervised Contrastive Learning and Cross-modal Translation under Modalities Missing PAAP Yuqing Miao, Gaowei Zhu, Tonglai Liu, Wanzhen Zhang, Yimin Wen, Ming Zhou
2023	—	`conf`	Semi-supervised Classification on Data Streams with Recurring Concept Drift Based on Conformal Prediction. ICONIP (15) Shilun Ma, Wei Kang, Yun Xue, Yimin Wen
2022	J	`jnl`	Cluster-based spatiotemporal dual self-adaptive network for short-term subway passenger flow forecasting. Appl. Intell. Qianjin Wei, Yongheng Qiu, Yimin Wen
2022	J	`jnl`	Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. Inf. Sci. Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang
2021	J	`jnl`	A new semi-supervised inductive transfer learning framework: Co-Transfer. CoRR Zhe Yuan, Yimin Wen
2021	J	`jnl`	Gallery-sensitive single sample face recognition based on domain adaptation. Neurocomputing Yimin Wen, Haiyang Yi, Zhigang Fan, Zhi Xu, Yun Xue, Yujian Li
2021	J	`jnl`	Minimum attribute reduction algorithm based on quick extraction and multi-strategy social spider optimization. J. Intell. Fuzzy Syst. Qianjin Wei, Chengxian Wang, Yimin Wen
2021	C	`conf`	T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning. IDEAL Libing Wang, Li He, Junyu Li, Deane Zeng, Yimin Wen
2020	—	`conf`	Semi-supervised Classification of Data Streams Based on Adaptive Density Peak Clustering. ICONIP (2) Changjie Liu, Yimin Wen, Yun Xue
2020	—	`conf`	Transfer Learning for Semi-supervised Classification of Non-stationary Data Streams. ICONIP (5) Yimin Wen, Qi Zhou, Yun Xue, Chao Feng
2019	J	`jnl`	MOPSO-based Data Scheduling Scheme for P2P Streaming Systems. KSII Trans. Internet Inf. Syst. Pingshan Liu, Yaqing Fan, Xiaoyi Xiong, Yimin Wen, Dianjie Lu
2019	J	`jnl`	Online transfer learning with multiple decision trees. Int. J. Mach. Learn. Cybern. Yimin Wen, Yixiu Qin, Keke Qin, Xiaoxia Lu, Pingshan Liu
2019	J	`jnl`	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). 计算机科学 Yixiu Qin, Yimin Wen, Qian He
2018	—	`conf`	Attribute Reduction Algorithm Based on Improved Information Gain Rate and Ant Colony Optimization. PAKDD (3) Jipeng Wei, Qianjin Wei, Yimin Wen
2018	J	`jnl`	Image set-based classification using collaborative exemplars representation. Signal Image Video Process. Zhi Xu, Guoyong Cai, Yimin Wen, Dongdong Chen, Liyao Han
2018	B	`conf`	Multi-source Domain Adaptation for Face Recognition. ICPR Haiyang Yi, Zhi Xu, Yimin Wen, Zhigang Fan
2017	—	`conf`	A multi-objective particle swarm optimization data scheduling algorithm for peer-to-peer video streaming. ICNC-FSKD Pingshan Liu, Xiaoyi Xiong, Guimin Huang, Yimin Wen
2017	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings IDEAL Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Min-Ling Zhang
2017	C	`conf`	Predicting Learning Effect by Learner's Behavior in MOOCs. IDEAL Ye Tian, Yimin Wen, Xinhe Yi, Xi Yang, Yuqing Miao
2016	J	`jnl`	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). 计算机科学 Kun Qian, Fang Li, Yimin Wen
2015	—	`conf`	Adding the sentiment attribute of nodes to improve link prediction in social network. FSKD Shaoliang Shi, Yunpeng Li, Yimin Wen, Wu Xie
2015	J	`jnl`	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). 计算机科学 Zhongwei Shi, Yimin Wen
2014	—	`conf`	Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy. ICDM Workshops Zhongwei Shi, Yimin Wen, Chao Feng, Hai Zhao
2014	B	`conf`	Efficient class incremental learning for multi-label classification of evolving data streams. IJCNN Zhongwei Shi, Yun Xue, Yimin Wen, Guoyong Cai
2013	—	`conf`	A Fast Algorithm for Clustering with MapReduce. ISNN (1) Yuqing Miao, Jinxing Zhang, Hao Feng, Liangpei Qiu, Yimin Wen
2013	—	`conf`	Novel Class Detection within Classification for Data Streams. ISNN (2) Yuqing Miao, Liangpei Qiu, Hong Chen, Jingxin Zhang, Yimin Wen
2013	B	`conf`	Predicting the Next Scenic Spot a User Will Browse on a Tourism Website Based on Markov Prediction Model. ICTAI Yifan Shi, Yimin Wen, Zhigang Fan, Yuqing Miao
2007	—	`conf`	A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines. ISNN (3) Yimin Wen, Bao-Liang Lu
2007	B	`conf`	Incremental Learning of Support Vector Machines by Classifier Combining. PAKDD Yimin Wen, Bao-Liang Lu
2005	—	`conf`	A Hierarchical and Parallel Method for Training Support Vector Machines. ISNN (1) Yimin Wen, Bao-Liang Lu
2004	—	`conf`	A Cascade Method for Reducing Training Time and the Number of Support Vectors. ISNN (1) Yimin Wen, Bao-Liang Lu