Zhongmin Yan

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 59

Top Topics

Health Insurance

Fraud Detection

Top Venues

Knowl. Inf. Syst.

Publications

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) (2024)
Weimeng Wang, Lei Liu, Zhongmin Yan
Proactive Auto-Scaling for Delay-Sensitive IoT Applications Over Edge Clouds. IEEE Internet Things J. 11 (6) (2024)
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) (2024)
Tong Ding, Lei Liu, Yi Zhu, Lizhen Cui, Zhongmin Yan
IoV environment exploring coordination: A federated learning approach. Digit. Commun. Networks 10 (1) (2024)
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) (2024)
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) (2023)
Weimeng Wang, Lei Liu, Zhongmin Yan
Proactive Auto-scaling For Delay-sensitive Service Providers Over Public Clouds. IWQoS (2023)
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) (2023)
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)
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)
Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan
Multi-View Graph Contrastive Learning for Urban Region Representation. IJCNN (2023)
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) (2023)
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)
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)
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 (2023)
Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo
Causal Discovery by Graph Attention Reinforcement Learning. SDM (2023)
Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang
Long-Tail Cross Modal Hashing. AAAI (2023)
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 (2023)
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 (2023)
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)
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 (2023)
Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong
Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. SIGIR (2023)
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) (2023)
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)
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 (2022)
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) (2022)
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)
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) (2022)
Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang
Long-tail Cross Modal Hashing. CoRR (2022)
Ran Zhang, Jian Zhang, Lei Liu, Zhongmin Yan, Mianxiong Dong
Research on Active Detection Method of Network Congestion. GLOBECOM (2022)
Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu
Towards AI-Empowered Crowdsourcing. CoRR (2022)
Zimo Huang, Jun Wang, Zhongmin Yan, Maozu Guo
Differentially expressed genes prediction by multiple self-attention on epigenetics data. Briefings Bioinform. 23 (3) (2022)
Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi
Few-shot Partial Multi-label Learning with Data Augmentation. ICDM (2022)
Yang Liu, Lei Liu, Zhongmin Yan, Jia Hu
The Algorithm of Multi-source to Multi-sink Traffic scheduling. MSN (2021)
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui
Few-Shot Partial Multi-Label Learning. ICDM (2021)
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)
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)
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
Few-Shot Partial-Label Learning. CoRR (2021)
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
Few-Shot Partial-Label Learning. IJCAI (2021)
Cong Su, Zhongmin Yan, Guoxian Yu
Cost-effective multi-instance multilabel active learning. Int. J. Intell. Syst. 36 (12) (2021)
Yixin Zhang, Wei He, Lizhen Cui, Lei Liu, Zhongmin Yan
Multi-interest Aware Recommendation in CrowdIntell Network. ISPA/BDCloud/SocialCom/SustainCom (2020)
Zhongkai Zhang, Lei Liu, Xudong Lu, Zhongmin Yan, Hui Li
Encrypted Network Traffic Classification: A data driven approach. ISPA/BDCloud/SocialCom/SustainCom (2020)
Yanli Guo, Zhongmin Yan
Collaborative Filtering: Graph Neural Network with Attention. WISA (2020)
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) (2020)
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)
Yanli Guo, Zhongmin Yan
Recommended System: Attentive Neural Collaborative Filtering. IEEE Access 8 (2020)
Wu Lee, Yuliang Shi, Lin Cheng, Yongqing Zheng, Zhongmin Yan
Predicting Prescriptions via DSCA-Dual Sequences with Cross Attention Network. BIBM (2020)
Kun Zhang, Yuliang Shi, Yuecan Liu, Zhongmin Yan
Power Demand Response Incentive Pricing Model. IEEE BigData (2019)
Jing Hao, Yongqing Zheng, Chengyuan Xu, Zhongmin Yan, Hui Li
Feature Assessment and Classification of Diabetes Employing Concept Lattice. CSCWD (2019)
Tingting Luan, Zhongmin Yan, Shidong Zhang
Fraudster Detection Based on Modularity Optimization Algorithm. CSCWD (2019)
Wenjing Zhang, Zhongmin Yan, Yongqing Zheng
Author Name Disambiguation Using Graph Node Embedding Method. CSCWD (2019)
Chenfei Sun, Zhongmin Yan, Qingzhong Li, Yongqing Zheng, Xudong Lu, Lizhen Cui
Abnormal Group-Based Joint Medical Fraud Detection. IEEE Access 7 (2019)
Bei Zhao, Yuliang Shi, Kun Zhang, Zhongmin Yan
Health Insurance Anomaly Detection Based on Dynamic Heterogeneous Information Network. BIBM (2019)
Song Xu, Lei Liu, Lizhen Cui, Qingzhong Li, Zhongmin Yan
Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest. ICWS (2019)
Wei Wei Wang, Hui Li, Lizhen Cui, Xiaoguang Hong, Zhongmin Yan
Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information. CSCWD (2018)
Jinfeng Peng, Qingzhong Li, Hui Li, Lei Liu, Zhongmin Yan, Shidong Zhang
Fraud Detection of Medical Insurance Employing Outlier Analysis. CSCWD (2018)
Tingting Luan, Zhongmin Yan, Shidong Zhang, Yongqing Zheng
Fraudster Detection Based on Label Propagation Algorithm. HPCC/SmartCity/DSS (2018)
Lingtong Meng, Lanju Kong, Zhongmin Yan, Shidong Zhang
Process framework extracting and process recommendation based on BPD similarity clustering. CSCWD (2017)
Haoyi Cui, Qingzhong Li, Hui Li, Zhongmin Yan
Healthcare Fraud Detection Based on Trustworthiness of Doctors. Trustcom/BigDataSE/ISPA (2016)
Chenfei Sun, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Hui Li, Wei Wei
An Effective Hybrid Fraud Detection Method. KSEM (2015)
Yongxin Zhang, Qingzhong Li, Dequan Wang, Yanhui Ding, Congli Liu, Zhongmin Yan
Matching Reviews to Object Based on 2-Stage CRF. APWeb (2015)
Haiyang Zhang, Zhongmin Yan, Chenfei Sun, Song Wei
Based on Entities Behavior Patterns of Heterogeneous Data Semantic Conflict Detection. IEEE WISA (2015)
Jinxin Zhao, Xinjun Wang, Zhongmin Yan, Song Wei
Mining Event Associations Using Structured Data and Classifiers. IEEE WISA (2015)
Haowen Guan, Qingzhong Li, Zhongmin Yan, Wei Wei
SLOF: Identify Density-Based Local Outliers in Big Data. IEEE WISA (2015)
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) (2014)
Yuanzi Xu, Qingzhong Li, Zhongmin Yan, Wei Wang
Web Event Topic Analysis by Topic Feature Clustering and Extended LDA Model. J. Softw. 9 (4) (2014)
Huihui Cai, Li-zhen Cui, Yuliang Shi, Lanju Kong, Zhongmin Yan
Multi-tenant Service Composition Based on Granularity Computing. IEEE SCC (2014)
Qi Wu, Xinjun Wang, Zhongmin Yan
Constructing Domain Ontology of E-Commerce for Market Intelligence. IEEE WISA (2013)
Qiuyan Huang, Qingzhong Li, Zhongmin Yan
A Novel URL Assignment Model Based on Multi-objective Decision Making Method. WISA (2012)
Donglan Liu, Xinjun Wang, Zhongmin Yan, Qiuyan Li
Robust Web Data Extraction: A Novel Approach Based on Minimum Cost Script Edit Model. WISM (2012)
Yiqing Cai, Xinjun Wang, Chunsheng Lu, Zhongmin Yan, Zhaohui Peng
Concluding Pattern of Web Page Based on String Pattern Matching. WISM (2) (2011)
Zhixiao Zhang, Guoqing Dong, Zhaohui Peng, Zhongmin Yan
A Framework for Incremental Deep Web Crawler Based on URL Classification. WISM (2) (2011)
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)
Na Zhao, Qingzhong Li, Zhongmin Yan
An Increment-Based Random Walk Approach to Sampling Hidden Databases. CSSE (4) (2008)
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) (2001)