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ORCIDZhaoyun Ding
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2020 – today
- 2024
[c35]Yu Zhao
, Zhaoyun Ding, Fei Wang, Longyin Zou, Aixin Nian:
Integrating Entities in Text Summarization: A Review. ICCBD 2024: 521-528- [c34]Junqi Chen, Zhaoyun Ding, Guang Jin, Guoli Yang:
The Optimal Sampling Strategy for Few-shot Named Entity Recognition Based with Prototypical Network. IJCNN 2024: 1-8 - 2023
- [j10]Xixi Zhu, Bin Liu, Li Yao, Zhaoyun Ding, Cheng Zhu:
TGR: Neural-symbolic ontological reasoner for domain-specific knowledge graphs. Appl. Intell. 53(20): 23946-23965 (2023) - [j9]Weike Liu, Cheng Zhu, Zhaoyun Ding, Hang Zhang, Qingbao Liu:
Multiclass imbalanced and concept drift network traffic classification framework based on online active learning. Eng. Appl. Artif. Intell. 117(Part): 105607 (2023) - 2022
- [c33]Xixi Zhu, Bin Liu, Zhaoyun Ding, Li Yao, Cheng Zhu, Xianqiang Zhu:
Reducing the Risk of Completeness Loss by Subgraph Reasoning in Engineering Applications. CSAE 2022: 14:1-14:7 - [c32]Haoran Ma, Zhaoyun Ding:
Research on Multi-Model Fusion for Named Entity Recognition Based on Loop Parameter Sharing Transfer Learning. DSC 2022: 564-569 - [c31]Haoyang Ma, Zhaoyun Ding, Zeyu Li, Hongyu Guo:
OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge. KSEM (1) 2022: 15-30 - [c30]Xixi Zhu, Bin Lin, Zhaoyun Ding, Li Yao, Cheng Zhu:
Implementing Large-Scale ABox Materialization Using Subgraph Reasoning. KSEM (1) 2022: 627-643 - [c29]Xingkong Ma, Houjie Qiu, Shujia Yao, Xinyi Chen, Jingsong Zhang, Zhaoyun Ding, Shaoyong Li, Bo Liu:
A General Personality Analysis Model Based on Social Posts and Links. PRICAI (1) 2022: 289-303 - [c28]Deqi Cao, Zhaoyun Ding, Fei Wang, Haoyang Ma:
Pre-training Fine-tuning data Enhancement method based on active learning. TrustCom 2022: 1447-1454 - [c27]Yu Zhao, Songping Huang, Dongsheng Zhou, Zhaoyun Ding, Fei Wang, Aixin Nian:
CNsum: Automatic Summarization for Chinese News Text. WASA (2) 2022: 539-547 - [c26]Haoran Ma, Zhaoyun Ding, Dongsheng Zhou, Jinhua Wang, ShuoShuo Niu:
Research on NER Based on Register Migration and Multi-task Learning. WASA (3) 2022: 657-666 - [i2]Kai Liu, Fei Wang, Zhaoyun Ding, Sheng Liang, Zhengfei Yu, Yun Zhou:
A review of knowledge graph application scenarios in cyber security. CoRR abs/2204.04769 (2022) - 2021
- [j8]Shaoyong Li, Liang Lv, Xiaoya Li, Zhaoyun Ding:
Mobile App Start-Up Prediction Based on Federated Learning and Attributed Heterogeneous Network Embedding. Future Internet 13(10): 256 (2021) - [j7]Weike Liu, Hang Zhang, Zhaoyun Ding, Qingbao Liu, Cheng Zhu:
A comprehensive active learning method for multiclass imbalanced data streams with concept drift. Knowl. Based Syst. 215: 106778 (2021) - [c25]Zhaoyun Ding, Deqi Cao, Lina Liu, Donghua Yu, Haoyang Ma, Fei Wang:
A Method for Discovering Hidden Patterns of Cybersecurity Knowledge Based on Hierarchical Clustering. DSC 2021: 334-338 - [c24]Lina Liu, Shuang Yao, Zhaoyun Ding, Maozu Guo, Donghua Yu, Keli Hu:
Drug-Target Interaction Prediction Based on Gaussian Interaction Profile and Information Entropy. ISBRA 2021: 388-399 - [c23]Zhaoyun Ding, Kai Liu, Wenhao Wang, Bin Liu:
A Semantic Textual Similarity Calculation Model Based on Pre-training Model. KSEM 2021: 3-15 - [c22]Zhaoyun Ding, Lina Liu, Donghua Yu, Songping Huang, Hang Zhang, Kai Liu:
Detection of Anomaly User Behaviors Based on Deep Neural Networks. TrustCom 2021: 1240-1245 - 2020
- [j6]Jianping Cao, Senzhang Wang, Benxian Li, Xiao Wang, Zhaoyun Ding, Fei-Yue Wang:
Integrating Multisourced Texts in Online Business Intelligence Systems. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1638-1648 (2020) - [c21]Wenhao Wang, BenFu Tang, Cheng Zhu, Bin Liu, Aiping Li, Zhaoyun Ding:
Clustering Using a Similarity Measure Approach Based on Semantic Analysis of Adversary Behaviors. DSC 2020: 1-7 - [c20]Fengcai Qiao, Yuanfa Zhang, Jinsheng Deng, Zhaoyun Ding, Aiping Li:
A Parallel Algorithm for Graph Transaction Based Frequent Subgraph Mining. DSC 2020: 351-355
2010 – 2019
- 2018
- [j5]Xiang Wang, Chen Wang, Zhaoyun Ding, Min Zhu, Jiumin Huang:
Predicting the popularity of topics based on user sentiment in microblogging websites. J. Intell. Inf. Syst. 51(1): 97-114 (2018) - [c19]Dong Ye, Sheng Zhang, Hui Wang, Jiajun Cheng, Xin Zhang, Zhaoyun Ding, Pei Li:
Multi-level Composite Neural Networks for Medical Question Answer Matching. DSC 2018: 139-145 - [c18]Yunzhi Han, Xianqiang Zhu, Xiaofeng Cao, Zhaoyun Ding, Yuanyuan Guo, Cheng Zhu:
Node Importance Evaluation Based on Background Error Reconstruction. SMC 2018: 3921-3926 - 2017
- [c17]Sheng Zhang, Hui Wang, Xin Zhang, Jiajun Cheng, Pei Li, Zhaoyun Ding:
Embedding-Based Feature Extraction Methods for Chinese Sentiment Classification. DSC 2017: 569-577 - [c16]Jiajun Cheng, Pei Li, Xin Zhang, Zhaoyun Ding, Hui Wang:
CNN-Based Sequence Labeling for Fine-Grained Opinion Mining of Microblogs. PAKDD (Workshops) 2017: 94-103 - [c15]Sheng Zhang, Jiajun Cheng, Hui Wang, Xin Zhang, Pei Li, Zhaoyun Ding:
FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering. SemEval@ACL 2017: 320-325 - [i1]Xiang Wang, Chen Wang, Zhaoyun Ding, Min Zhu, Jiumin Huang:
Predicting the Popularity of Topics based on User Sentiment in Microblogging Websites. CoRR abs/1709.02511 (2017) - 2016
- [j4]Jiajun Cheng, Xin Zhang, Pei Li, Sheng Zhang, Zhaoyun Ding, Hui Wang:
Exploring sentiment parsing of microblogging texts for opinion polling on chinese public figures. Appl. Intell. 45(2): 429-442 (2016) - [c14]Yueyang Li, Zhaoyun Ding, Xin Zhang, Bo Liu, Weice Zhang:
Confirmatory Analysis on Influencing Factors When Mention Users in Twitter. APWeb Workshops 2016: 112-121 - [c13]Zhaoyun Ding, Xueqing Zou, Yueyang Li, Su He, Jiajun Cheng, Fengcai Qiao, Hui Wang:
Mentioning the Optimal Users in the Appropriate Time on Twitter. APWeb (2) 2016: 464-468 - [c12]Lixiang Guo, Zhaoyun Ding, Hui Wang:
Behavior-Based Twitter Overlapping Community Detection. DASFAA Workshops 2016: 371-376 - [c11]Jiajun Cheng, Pei Li, Zhaoyun Ding, Sheng Zhang, Hui Wang:
Sentiment Classification of Chinese Microblogging Texts with Global RNN. DSC 2016: 653-657 - [c10]Dayong Shen, Zhaoyun Ding, Fengcai Qiao, Jiajun Cheng, Hui Wang:
Finding the Optimal Users to Mention in the Appropriate Time on Twitter. KSEM 2016: 289-301 - 2015
- [c9]Liang Guo, Zhaoyun Ding, Sheng Zhang, Taowei Li, Weiwei Jiang, Hui Wang:
Collaborative Model for Predicting Retweeting Behaviors on Twitter. APWeb Workshops 2015: 101-112 - [c8]Fengcai Qiao, Pei Li, Jingsheng Deng, Zhaoyun Ding, Hui Wang:
Graph-Based Method for Detecting Occupy Protest Events Using GDELT Dataset. CyberC 2015: 164-168 - [c7]Zhaoyun Ding, Hui Wang, Liang Guo, Fengcai Qiao, Jianping Cao, Dayong Shen:
Finding Influential Users and Popular Contents on Twitter. WISE (2) 2015: 267-275 - 2014
- [j3]Li He, Yan Jia, Zhaoyun Ding, Weihong Han:
Hierarchical classification with a topic taxonomy via LDA. Int. J. Mach. Learn. Cybern. 5(4): 491-497 (2014) - 2013
- [j2]Zhaoyun Ding, Yan Jia, Bin Zhou, Yi Han, Li He, Jianfeng Zhang:
Measuring the spreadability of users in microblogs. J. Zhejiang Univ. Sci. C 14(9): 701-710 (2013) - [c6]Li He, Yan Jia, Zhaoyun Ding, Weihong Han:
Research on Large Scale Hierarchical Classification Based on Candidate Search. IEEE WISA 2013: 355-360 - [c5]Zhaoyun Ding, Yan Jia, Bin Zhou, Jianfeng Zhang, Yi Han, Chunfeng Yu:
An Influence Strength Measurement via Time-Aware Probabilistic Generative Model for Microblogs. APWeb 2013: 372-383 - 2012
- [c4]Zhaoyun Ding, Yan Jia, Bin Zhou, Yi Han:
Mining Tribe-Leaders Based on the Frequent Pattern of Propagation. APWeb Workshops 2012: 143-153 - [c3]Lei Deng, Zhaoyun Ding, Bingying Xu, Bin Zhou, Peng Zou:
Using Social Intelligence for New Event Detection in Microblog Stream. CGC 2012: 434-439 - 2011
- [j1]Lidong Zhai, Zhaoyun Ding, Yan Jia, Bin Zhou:
A Word Position-Related LDA Model. Int. J. Pattern Recognit. Artif. Intell. 25(6): 909-925 (2011) - [c2]Lei Deng, Zhaoyun Ding, Bingying Xu, Bin Zhou, Yan Jia, Peng Zou:
Exploring Event Evolution Patterns at the Atomic Level. CyberC 2011: 40-47 - 2010
- [c1]Zhaoyun Ding, Deng Lei, Jia Yan, Zhou Bin, An Lun:
A Web Service Discovery Method Based on Tag. CISIS 2010: 404-408
Coauthor Index
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