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Self-ensembling depth completion via density-aware consistency Journal article
Zhang, Xuanmeng, Zheng, Zhedong, Jiang, Minyue, Ye, Xiaoqing. Self-ensembling depth completion via density-aware consistency[J]. Pattern Recognition, 2024, 154, 110618.
Authors:  Zhang, Xuanmeng;  Zheng, Zhedong;  Jiang, Minyue;  Ye, Xiaoqing
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/07/04
Density-aware Consistency  Depth Completion  Semi-supervised Learning  Uncertainty Estimation  
UP-DPC: Ultra-scalable parallel density peak clustering Journal article
Ma, Luyao, Yang, Geping, Yang, Yiyang, Chen, Xiang, Lu, Juan, Gong, Zhiguo, Hao, Zhifeng. UP-DPC: Ultra-scalable parallel density peak clustering[J]. Information Sciences, 2024, 660, 120114.
Authors:  Ma, Luyao;  Yang, Geping;  Yang, Yiyang;  Chen, Xiang;  Lu, Juan; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:0/0 | Submit date：2024/04/02
Clustering  Density Peak Estimation  Large-scale  Parallel Computation  Scalability  
FastDEC: Clustering by Fast Dominance Estimation Conference paper
Geping Yang, Hongzhang Lv, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao. FastDEC: Clustering by Fast Dominance Estimation[C]. Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:Springer Science and Business Media Deutschland GmbH, 2023, 138-156.
Authors:  Geping Yang;  Hongzhang Lv;  Yiyang Yang;  Zhiguo Gong;  Xiang Chen; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2 | Submit date：2023/08/03
Clustering  Density Estimation  k Nearest Neighbors  
CatCharger: Deploying In-Motion Wireless Chargers in a Metropolitan Road Network via Categorization and Clustering of Vehicle Traffic Journal article
Yan, Li, Shen, Haiying, Zhao, Juanjuan, Xu, Chengzhong, Luo, Feng, Qiu, Chenxi, Zhang, Zhe, Mahmud, Shohaib. CatCharger: Deploying In-Motion Wireless Chargers in a Metropolitan Road Network via Categorization and Clustering of Vehicle Traffic[J]. IEEE Internet of Things Journal, 2022, 9(12), 9525-9541.
Authors:  Yan, Li;  Shen, Haiying;  Zhao, Juanjuan;  Xu, Chengzhong;  Luo, Feng; et al.
Favorite | TC[WOS]:2 TC[Scopus]:5  IF:8.2/9.0 | Submit date：2022/08/02
Charger Deployment  Kernel Density Estimation  Mobile Data Analysis  Vehicle Wireless Charging  
Sparse density estimation with measurement errors Journal article
Yang, Xiaowei, Zhang, Huiming, Wei, Haoyu, Zhang, Shouzheng. Sparse density estimation with measurement errors[J]. Entropy, 2022, 24(1).
Authors:  Yang, Xiaowei;  Zhang, Huiming;  Wei, Haoyu;  Zhang, Shouzheng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.1/2.2 | Submit date：2022/02/21
Density Estimation  Elastic-net  Measurement Errors  Multi-mode Data  Support Recovery  
QuickDSC: Clustering by Quick Density Subgraph Estimation Journal article
Zheng, Xichen, Ren, Chengsen, Yang, Yiyang, Gong, Zhiguo, Chen, Xiang, Hao, Zhifeng. QuickDSC: Clustering by Quick Density Subgraph Estimation[J]. Information Sciences, 2021, 581, 403-427.
Authors:  Zheng, Xichen;  Ren, Chengsen;  Yang, Yiyang;  Gong, Zhiguo;  Chen, Xiang; et al.
Favorite | TC[WOS]:7 TC[Scopus]:7  IF:0/0 | Submit date：2021/12/08
Clustering  Density Estimation  K-nn Graph  K-way Partition  
Electrical load forecasting: A deep learning approach based on K-nearest neighbors Journal article
Dong, Yunxuan, Ma, Xuejiao, Fu, Tonglin. Electrical load forecasting: A deep learning approach based on K-nearest neighbors[J]. Applied Soft Computing, 2021, 99, 106900.
Authors:  Dong, Yunxuan;  Ma, Xuejiao;  Fu, Tonglin
Favorite | TC[WOS]:75 TC[Scopus]:91  IF:7.2/7.0 | Submit date：2021/12/07
Deep Learning Approach  Electrical Load Interval Forecasting  K-nearest Neighbors  Kernel Density Estimation  
Distribution preserving learning for unsupervised feature selection Journal article
Ting Xie, Pengfei Ren, Taiping Zhang, Yuan Yan Tang. Distribution preserving learning for unsupervised feature selection[J]. Neurocomputing, 2018, 289, 231-240.
Authors:  Ting Xie;  Pengfei Ren;  Taiping Zhang;  Yuan Yan Tang
Favorite | TC[WOS]:11 TC[Scopus]:12  IF:5.5/5.5 | Submit date：2018/10/30
Feature Selection  Density Preserving  Kernel Density Estimation  Dimensionality Reduction  Data Mining  
Learning the distribution of data for embedding Conference paper
Shen Y., Ren P., Zhang T., Tang Y.Y.. Learning the distribution of data for embedding[C], 2017, 46-51.
Authors:  Shen Y.;  Ren P.;  Zhang T.;  Tang Y.Y.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/02/11
Dimensionality Reduction  Distribution Preserving Embedding  Kernel Density Estimation