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ORCIDLong Zhao 0002
Person information
- affiliation (PhD 2016): Qilu University of Technology (Shandong Academy of Sciences), School of Information, Jinan, China
- affiliation (PhD 2016): Wuhan University, China
Other persons with the same name
- Long Zhao — disambiguation page
- Long Zhao 0001
![[0000-0001-5839-8005]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5839-8005")
— Beijing University of Posts and Telecommunications, Wireless Signal Processing and Network Laboratory, China - Long Zhao 0003 — Rutgers University, Department of Computer Science, New Brunswick, NJ, USA
- Long Zhao 0004 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Long Zhao 0005 — Xi'an Polytechnic University, School of Electronics and Information, China (and 1 more)
- Long Zhao 0006 — National University of Singapore, Department of Analytics and Operations, Singapore (and 1 more)
- Long Zhao 0007 — Army Engineering University, College of Communications Engineering, Nanjing, China (and 1 more)
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2020 – today
- 2024
[j17]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: 111449 (2024)- [j16]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): 7792-7803 (2024) - [c12]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: 10645-10653 - [c11]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: 14017-14025 - 2023
- [j15]Jiao Liu, Long Zhao, Chengkun Si, Hongjiao Guan, Xiangjun Dong:
Improved ReliefF-based feature selection algorithm for cancer histology. Biomed. Signal Process. Control. 85: 104980 (2023) - [j14]Hongjiao Guan, Long Zhao, Xiangjun Dong, Chuan Chen:
Extended natural neighborhood for SMOTE and its variants in imbalanced classification. Eng. Appl. Artif. Intell. 124: 106570 (2023) - [j13]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: 106762 (2023) - [j12]Xu Zhang, Yongshun Gong, Chengqi Zhang, Xiaoming Wu, Ying Guo, Wenpeng Lu, Long Zhao, Xiangjun Dong:
Spatio-temporal fusion and contrastive learning for urban flow prediction. Knowl. Based Syst. 282: 111104 (2023) - [c10]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: 1620-1627 - [c9]Chengkun Si, Long Zhao, Jiao Liu:
Deep Feature Selection Algorithm for Classification of Gastric Cancer Subtypes. SMC 2023: 698-705 - 2022
- [j11]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: 116813 (2022) - [c8]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: 459-475 - 2020
- [j10]Tiantian Xu, Long Zhao:
A Structure-Induced Framework for Multi-Label Feature Selection With Highly Incomplete Labels. IEEE Access 8: 71219-71230 (2020) - [j9]Xiangjun Dong, Feng Hao, Long Zhao, Tiantian Xu:
An efficient method for pruning redundant negative and positive association rules. Neurocomputing 393: 245-258 (2020) - [j8]Yue Lu, Long Zhao, Zhao Li, Xiangjun Dong:
Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA. Symmetry 12(12): 2090 (2020)
2010 – 2019
- 2019
- [j7]Xiaoqiang Wu, Long Zhao:
Study on Iris Segmentation Algorithm Based on Dense U-Net. IEEE Access 7: 123959-123968 (2019) - 2018
- [j6]Long Zhao, Xiangjun Dong:
An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria. IEEE Access 6: 4608-4617 (2018) - [j5]Yue Hou, Long Zhao, Huaiwei Lu:
Fuzzy neural network optimization and network traffic forecasting based on improved differential evolution. Future Gener. Comput. Syst. 81: 425-432 (2018) - [c7]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: 717-723 - 2017
- [j4]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): 1401-1409 (2017) - [j3]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): 2845-2854 (2017) - [j2]Long Zhao, Xue Dong, WeiYang Chen, LinFeng Jiang, Xiangjun Dong:
The combined cloud model for edge detection. Multim. Tools Appl. 76(13): 15007-15026 (2017) - [c6]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: 1559-1564 - [c5]Ping Qiu, Long Zhao, Xiangjun Dong:
NegI-NSP: Negative sequential pattern mining based on loose constraints. IECON 2017: 3419-3425 - 2016
- [j1]Long Zhao, LinFeng Jiang, Xiangjun Dong:
Supervised feature selection method via potential value estimation. Clust. Comput. 19(4): 2039-2049 (2016) - 2015
- [c4]Long Zhao, Shuliang Wang, Yi Lin:
A new Feature Selection method for face recognition based on general data field. ASE BD&SI 2015: 26:1-26:5 - 2014
- [c3]Long Zhao, Shuliang Wang, Yi Lin:
A New Filter Approach Based on Generalized Data Field. ADMA 2014: 319-333 - [c2]Yi Lin, Shuliang Wang, Long Zhao, Dakui Wang:
Topology Potential-Based Parameter Selecting for Support Vector Machine. ADMA 2014: 513-522
2000 – 2009
- 2008
- [c1]Shiju Shang, Xiangjun Dong, Runian Geng, Long Zhao:
Mining Negative Association Rules in Multi-database. FSKD (2) 2008: 596-599
Coauthor Index
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last updated on 2024-07-24 20:44 CEST by the dblp team
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