Long Zhao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Support Vector Machine

Association Rules

Churn Prediction

Sequential Patterns

Top Venues

Publications

Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. AAAI (2024)
Chuanhou Sun, Yongshun Gong, Ying Guo, Long Zhao, Hongjiao Guan, Xinwang Liu, Xiangjun Dong
SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. Knowl. Based Syst. 287 (2024)
Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. AAAI (2024)
Zhufeng Shao, Shoujin Wang, Wenpeng Lu, Weiyu Zhang, Hongjiao Guan, Long Zhao
Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation. ICASSP (2024)
Lei Gong, Wenxuan Tu, Sihang Zhou, Long Zhao, Zhe Liu, Xinwang Liu
Deep Fusion Clustering Network With Reliable Structure Preservation. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Hongjiao Guan, Long Zhao, Xiangjun Dong, Chuan Chen
Extended natural neighborhood for SMOTE and its variants in imbalanced classification. Eng. Appl. Artif. Intell. 124 (2023)
Chengkun Si, Long Zhao, Jiao Liu
Deep Feature Selection Algorithm for Classification of Gastric Cancer Subtypes. SMC (2023)
Xin Zhang, Xueping Peng, Hongjiao Guan, Long Zhao, Xinxiao Qiao, Wenpeng Lu
Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction. ICPADS (2023)
Hongjiao Guan, Xiangjun Dong, Chuan Chen, Long Zhao, Xiaoqiang Ren
Dual objective bounded abstaining model to control performance for safety-critical applications. Eng. Appl. Artif. Intell. 126 (2023)
Chuanhou Sun, Xiaoqi Jiang, Xiangjun Dong, Tiantian Xu, Long Zhao, Zhao Li, Yuhai Zhao
Mining Negative Sequential Rules from Negative Sequential Patterns. DASFAA (1) (2022)
Yanyu Hu, Long Zhao, Zhao Li, Xiangjun Dong, Tiantian Xu, Yuhai Zhao
Classifying the multi-omics data of gastric cancer using a deep feature selection method. Expert Syst. Appl. 200 (2022)
Tiantian Xu, Long Zhao
A Structure-Induced Framework for Multi-Label Feature Selection With Highly Incomplete Labels. IEEE Access 8 (2020)
Yue Lu, Long Zhao, Zhao Li, Xiangjun Dong
Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA. Symmetry 12 (12) (2020)
Xiangjun Dong, Feng Hao, Long Zhao, Tiantian Xu
An efficient method for pruning redundant negative and positive association rules. Neurocomputing 393 (2020)
Xiaoqiang Wu, Long Zhao
Study on Iris Segmentation Algorithm Based on Dense U-Net. IEEE Access 7 (2019)
Long Zhao, Xiangjun Dong
An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria. IEEE Access 6 (2018)
Yue Hou, Long Zhao, Huaiwei Lu
Fuzzy neural network optimization and network traffic forecasting based on improved differential evolution. Future Gener. Comput. Syst. 81 (2018)
Feng Hao, Long Zhao, Tiantian Xu, Xiangjun Dong
Application of Negative and Positive Association Rules in Mental Health Analysis of College Students. ICNC-FSKD (2018)
Jialun Pei, Long Zhao, Xiangjun Dong, Xue Dong
Effective algorithm for determining the number of clusters and its application in image segmentation. Clust. Comput. 20 (4) (2017)
Chenlu Li, Feng Hao, Long Zhao, Lizhe Song, Xiangjun Dong
Analysis of medical and healthcare data based on positive and negative association rules. ICNC-FSKD (2017)
Ping Qiu, Long Zhao, Xiangjun Dong
NegI-NSP: Negative sequential pattern mining based on loose constraints. IECON (2017)
Long Zhao, Xue Dong, WeiYang Chen, LinFeng Jiang, Xiangjun Dong
The combined cloud model for edge detection. Multim. Tools Appl. 76 (13) (2017)
Long Zhao, Qian Gao, Xiangjun Dong, Aimei Dong, Xue Dong
K- local maximum margin feature extraction algorithm for churn prediction in telecom. Clust. Comput. 20 (2) (2017)
Long Zhao, LinFeng Jiang, Xiangjun Dong
Supervised feature selection method via potential value estimation. Clust. Comput. 19 (4) (2016)
Long Zhao, Shuliang Wang, Yi Lin
A new Feature Selection method for face recognition based on general data field. ASE BD&SI (2015)
Yi Lin, Shuliang Wang, Long Zhao, Dakui Wang
Topology Potential-Based Parameter Selecting for Support Vector Machine. ADMA (2014)
Long Zhao, Shuliang Wang, Yi Lin
A New Filter Approach Based on Generalized Data Field. ADMA (2014)