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Zhongmin Yan
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2020 – today
- 2024
- [j25]Tong Ding, Lei Liu, Yi Zhu, Lizhen Cui, Zhongmin Yan:
IoV environment exploring coordination: A federated learning approach. Digit. Commun. Networks 10(1): 135-141 (2024) - [j24]Weimeng Wang, Lei Liu, Zhongmin Yan:
Proactive Auto-Scaling for Delay-Sensitive IoT Applications Over Edge Clouds. IEEE Internet Things J. 11(6): 9536-9546 (2024) - [j23]Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi:
Few-shot partial multi-label learning with synthetic features network. Knowl. Inf. Syst. 66(2): 1167-1203 (2024) - [j22]Ran Zhang, Ning Liu, Lei Liu, Mianxiong Dong, Kaoru Ota, Zhongmin Yan:
Performance Evaluation of Self-Similar GPS Scheduling: A Knowledge-Driven Dual-Task Deep Learning Approach. IEEE Trans. Cogn. Commun. Netw. 10(2): 510-525 (2024) - [j21]Tong Ding, Lei Liu, Zhongmin Yan, Lizhen Cui:
Umix: Sustainable Multi-UAV Coordination for Aerial-Terrestrial Networks. IEEE Trans. Netw. Sci. Eng. 11(6): 5190-5200 (2024) - [j20]Chengdong Zheng, Yuliang Shi, Wu Lee, Lin Cheng, Xinjun Wang, Zhongmin Yan, Fanyu Kong:
DPHM-Net:de-redundant multi-period hybrid modeling network for long-term series forecasting. World Wide Web (WWW) 27(4): 40 (2024) - [c49]Leyao Zhang, Yuliang Shi, Kaiyuan Qi, Dong Wu, Xinjun Wang, Zhongmin Yan, Zhiyong Chen:
MicroHFRCL: A History Faults Based Root Cause Localization Framework in Microservice Systems. IJCNN 2024: 1-8 - 2023
- [j19]Saisai Teng, Chenglin Yin, Yu Wang, Xiandong Chen, Zhongmin Yan, Lizhen Cui, Leyi Wei:
MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. Comput. Biol. Medicine 164: 106904 (2023) - [j18]Jihu Wang, Yuliang Shi, Han Yu, Kun Zhang, Xinjun Wang, Zhongmin Yan, Hui Li:
Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning. Expert Syst. Appl. 211: 118563 (2023) - [j17]Sichao Qiu, Mengyi Wang, Yuanlin Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Carlotta Domeniconi, Maozu Guo:
Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. Inf. Fusion 94: 272-283 (2023) - [j16]Lin Cheng, Yuliang Shi, Lin Li, Han Yu, Xinjun Wang, Zhongmin Yan:
KLECA: knowledge-level-evolution and category-aware personalized knowledge recommendation. Knowl. Inf. Syst. 65(3): 1045-1065 (2023) - [j15]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Xiayan Zhang, Lizhen Cui:
Few-shot partial multi-label learning via prototype rectification. Knowl. Inf. Syst. 65(4): 1851-1880 (2023) - [j14]Jihu Wang, Yuliang Shi, Han Yu, Zhongmin Yan, Hui Li, Zhenjie Chen:
A novel KG-based recommendation model via relation-aware attentional GCN. Knowl. Based Syst. 275: 110702 (2023) - [j13]Zimo Huang, Jun Wang, Zhongmin Yan, Lin Wan, Maozu Guo:
Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 340-351 (2023) - [j12]Xingze Wang, Guoxian Yu, Zhongmin Yan, Lin Wan, Wei Wang, Lizhen Cui:
Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 512-523 (2023) - [c48]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-Tail Cross Modal Hashing. AAAI 2023: 7642-7650 - [c47]Rui Xu, Yuliang Shi, Zhiyuan Su, Xinjun Wang, Zhongmin Yan, Fanyu Kong:
Test Case Level Predictive Mutation Testing Combining PIE and Natural Language Features. APSEC 2023: 21-30 - [c46]Nanfei Yang, Yuliang Shi, Zhiyuan Su, Xinjun Wang, Zhongmin Yan, Fanyu Kong:
FSFP: A Fine-Grained Online Service System Performance Fault Prediction Method Based on Cross-attention. APSEC 2023: 81-90 - [c45]Yourong Li, Yuliang Shi, Yide Jin, Xinjun Wang, Zhongmin Yan, Zhiyong Chen, Fanyu Kong:
A Collaborative Cross-Attention Drug Recommendation Model Based on Patient and Medical Relationship Representations. BIBM 2023: 2036-2039 - [c44]Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui:
Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) 2023: 800-809 - [c43]Haiyang Liu, Yuliang Shi, Zhiyuan Su, Kun Zhang, Xinjun Wang, Zhongmin Yan, Fanyu Kong:
FedADP: Communication-Efficient by Model Pruning for Federated Learning. GLOBECOM 2023: 3093-3098 - [c42]Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan:
Multi-View Graph Contrastive Learning for Urban Region Representation. IJCNN 2023: 1-8 - [c41]Weimeng Wang, Lei Liu, Zhongmin Yan:
Proactive Auto-scaling For Delay-sensitive Service Providers Over Public Clouds. IWQoS 2023: 1-9 - [c40]Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo:
Causal Discovery by Graph Attention Reinforcement Learning. SDM 2023: 28-36 - [c39]Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong:
Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. SIGIR 2023: 372-382 - 2022
- [j11]Zimo Huang, Jun Wang, Zhongmin Yan, Maozu Guo:
Differentially expressed genes prediction by multiple self-attention on epigenetics data. Briefings Bioinform. 23(3) (2022) - [j10]Lei Liu, Tong Ding, Hui Feng, Zhongmin Yan, Xudong Lu:
Tree sketch: An accurate and memory-efficient sketch for network-wide measurement. Comput. Commun. 194: 148-155 (2022) - [j9]Haiting Zhong, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan, Kun Zhao:
Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation. Data Sci. Eng. 7(4): 370-382 (2022) - [j8]Tong Ding, Ning Liu, Zhongmin Yan, Lei Liu, Li-zhen Cui:
An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection. J. Comput. Sci. Technol. 37(6): 1356-1368 (2022) - [c38]Ran Zhang, Jian Zhang, Lei Liu, Zhongmin Yan, Mianxiong Dong:
Research on Active Detection Method of Network Congestion. GLOBECOM 2022: 4685-4690 - [c37]Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi:
Few-shot Partial Multi-label Learning with Data Augmentation. ICDM 2022: 478-487 - [c36]Bo Li, Yuliang Shi, Lin Cheng, Zhongmin Yan, Xinjun Wang, Hui Li:
MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction. IJCNN 2022: 1-8 - [c35]Xianshuai Cao, Yuliang Shi, Jihu Wang, Han Yu, Xinjun Wang, Zhongmin Yan:
Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation. ACM Multimedia 2022: 3694-3702 - [i3]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-tail Cross Modal Hashing. CoRR abs/2211.15162 (2022) - [i2]Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu:
Towards AI-Empowered Crowdsourcing. CoRR abs/2212.14676 (2022) - 2021
- [j7]Cong Su, Zhongmin Yan, Guoxian Yu:
Cost-effective multi-instance multilabel active learning. Int. J. Intell. Syst. 36(12): 7177-7203 (2021) - [c34]Honglu Zhang, Yonghui Xu, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui, Chunyan Miao:
Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. BIBM 2021: 779-784 - [c33]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui:
Few-Shot Partial Multi-Label Learning. ICDM 2021: 926-935 - [c32]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. IJCAI 2021: 3448-3454 - [c31]Yang Liu, Lei Liu, Zhongmin Yan, Jia Hu:
The Algorithm of Multi-source to Multi-sink Traffic scheduling. MSN 2021: 638-644 - [c30]Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan, Zhiyong Chen:
DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation. SIGIR 2021: 203-212 - [i1]Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. CoRR abs/2106.00984 (2021) - 2020
- [j6]Yanli Guo, Zhongmin Yan:
Recommended System: Attentive Neural Collaborative Filtering. IEEE Access 8: 125953-125960 (2020) - [j5]Yongjian Ren, Yuliang Shi, Kun Zhang, Zhiyong Chen, Zhongmin Yan:
Medical Treatment Migration Prediction Based on GCN via Medical Insurance Data. IEEE J. Biomed. Health Informatics 24(9): 2516-2522 (2020) - [c29]Yanli Guo, Zhongmin Yan:
Collaborative Filtering: Graph Neural Network with Attention. WISA 2020: 428-438 - [c28]Wu Lee, Yuliang Shi, Lin Cheng, Yongqing Zheng, Zhongmin Yan:
Predicting Prescriptions via DSCA-Dual Sequences with Cross Attention Network. BIBM 2020: 615-622 - [c27]Ran Zhang, Lei Liu, Xudong Lu, Zhongmin Yan, Hui Li:
Performance Modeling of a General GPS Scheduling Under Long Range Dependent Traffic. ISPA/BDCloud/SocialCom/SustainCom 2020: 683-689 - [c26]Yixin Zhang, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan:
Multi-interest Aware Recommendation in CrowdIntell Network. ISPA/BDCloud/SocialCom/SustainCom 2020: 698-705 - [c25]Zhongkai Zhang, Lei Liu, Xudong Lu, Zhongmin Yan, Hui Li:
Encrypted Network Traffic Classification: A data driven approach. ISPA/BDCloud/SocialCom/SustainCom 2020: 706-712
2010 – 2019
- 2019
- [j4]Chenfei Sun, Zhongmin Yan, Qingzhong Li, Yongqing Zheng, Xudong Lu, Lizhen Cui:
Abnormal Group-Based Joint Medical Fraud Detection. IEEE Access 7: 13589-13596 (2019) - [c24]Bei Zhao, Yuliang Shi, Kun Zhang, Zhongmin Yan:
Health Insurance Anomaly Detection Based on Dynamic Heterogeneous Information Network. BIBM 2019: 1118-1122 - [c23]Kun Zhang, Yuliang Shi, Yuecan Liu, Zhongmin Yan:
Power Demand Response Incentive Pricing Model. IEEE BigData 2019: 2605-2614 - [c22]Jing Hao, Yongqing Zheng, Chengyuan Xu, Zhongmin Yan, Hui Li:
Feature Assessment and Classification of Diabetes Employing Concept Lattice. CSCWD 2019: 333-338 - [c21]Wenjing Zhang, Zhongmin Yan, Yongqing Zheng:
Author Name Disambiguation Using Graph Node Embedding Method. CSCWD 2019: 410-415 - [c20]Tingting Luan, Zhongmin Yan, Shidong Zhang:
Fraudster Detection Based on Modularity Optimization Algorithm. CSCWD 2019: 422-427 - [c19]Song Xu, Lei Liu, Lizhen Cui, Qingzhong Li, Zhongmin Yan:
Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest. ICWS 2019: 403-407 - 2018
- [c18]Jinfeng Peng, Qingzhong Li, Hui Li, Lei Liu, Zhongmin Yan, Shidong Zhang:
Fraud Detection of Medical Insurance Employing Outlier Analysis. CSCWD 2018: 341-346 - [c17]Wei Wei Wang, Hui Li, Lizhen Cui, Xiaoguang Hong, Zhongmin Yan:
Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information. CSCWD 2018: 353-358 - [c16]Tingting Luan, Zhongmin Yan, Shidong Zhang, Yongqing Zheng:
Fraudster Detection Based on Label Propagation Algorithm. HPCC/SmartCity/DSS 2018: 346-353 - 2017
- [c15]Lingtong Meng, Lanju Kong, Zhongmin Yan, Shidong Zhang:
Process framework extracting and process recommendation based on BPD similarity clustering. CSCWD 2017: 91-96 - 2016
- [c14]Haoyi Cui, Qingzhong Li, Hui Li, Zhongmin Yan:
Healthcare Fraud Detection Based on Trustworthiness of Doctors. Trustcom/BigDataSE/ISPA 2016: 74-81 - 2015
- [c13]Haowen Guan, Qingzhong Li, Zhongmin Yan, Wei Wei:
SLOF: Identify Density-Based Local Outliers in Big Data. IEEE WISA 2015: 61-66 - [c12]Haiyang Zhang, Zhongmin Yan, Chenfei Sun, Song Wei:
Based on Entities Behavior Patterns of Heterogeneous Data Semantic Conflict Detection. IEEE WISA 2015: 169-174 - [c11]Jinxin Zhao, Xinjun Wang, Zhongmin Yan, Song Wei:
Mining Event Associations Using Structured Data and Classifiers. IEEE WISA 2015: 259-264 - [c10]Yongxin Zhang, Qingzhong Li, Dequan Wang, Yanhui Ding, Congli Liu, Zhongmin Yan:
Matching Reviews to Object Based on 2-Stage CRF. APWeb 2015: 92-103 - [c9]Chenfei Sun, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Hui Li, Wei Wei:
An Effective Hybrid Fraud Detection Method. KSEM 2015: 563-574 - 2014
- [j3]Yuanzi Xu, Qingzhong Li, Zhongmin Yan, Wei Wang:
Web Event Topic Analysis by Topic Feature Clustering and Extended LDA Model. J. Softw. 9(4): 977-984 (2014) - [j2]Yuanzi Xu, Qingzhong Li, Zhongmin Yan, Wei Wang:
Web Reviews and Events Matching Based on Event Feature Segments and Semi-Markov Conditional Random Fields. J. Softw. 9(9): 2401-2408 (2014) - [c8]Huihui Cai, Li-zhen Cui, Yuliang Shi, Lanju Kong, Zhongmin Yan:
Multi-tenant Service Composition Based on Granularity Computing. IEEE SCC 2014: 669-676 - 2013
- [c7]Qi Wu, Xinjun Wang, Zhongmin Yan:
Constructing Domain Ontology of E-Commerce for Market Intelligence. IEEE WISA 2013: 475-478 - 2012
- [c6]Qiuyan Huang, Qingzhong Li, Zhongmin Yan:
A Novel URL Assignment Model Based on Multi-objective Decision Making Method. WISA 2012: 31-34 - [c5]Donglan Liu, Xinjun Wang, Zhongmin Yan, Qiuyan Li:
Robust Web Data Extraction: A Novel Approach Based on Minimum Cost Script Edit Model. WISM 2012: 497-509 - 2011
- [c4]Yiqing Cai, Xinjun Wang, Chunsheng Lu, Zhongmin Yan, Zhaohui Peng:
Concluding Pattern of Web Page Based on String Pattern Matching. WISM (2) 2011: 224-233 - [c3]Zhixiao Zhang, Guoqing Dong, Zhaohui Peng, Zhongmin Yan:
A Framework for Incremental Deep Web Crawler Based on URL Classification. WISM (2) 2011: 302-310 - 2010
- [c2]Zhongmin Yan, Qingzhong Li, Shidong Zhang, Zhaohui Peng, Yongquan Dong, Yanhui Ding, Yongxin Zhang, Xiuxing Xu:
MI-WDIS: web data integration system for market intelligence. CIKM 2010: 1957-1958
2000 – 2009
- 2008
- [c1]Na Zhao, Qingzhong Li, Zhongmin Yan:
An Increment-Based Random Walk Approach to Sampling Hidden Databases. CSSE (4) 2008: 496-499 - 2001
- [j1]Qingzhong Li, Haiyang Wang, Zhongmin Yan, Shaohan Ma:
Efficient Mining of Association Rules by Reducing the Number of Passes over the Database. J. Comput. Sci. Technol. 16(2): 182-188 (2001)
Coauthor Index
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last updated on 2024-12-02 21:24 CET by the dblp team
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