Efficient Mining of Association Rules by Reducing the Number of Passes over the Database. - Qingzhong Li; Haiyang Wang; Zhongmin Yan; Shaohan Ma (J. Comput. Sci. Technol., 2001)

An Increment-Based Random Walk Approach to Sampling Hidden Databases. - Na Zhao; Qingzhong Li; Zhongmin Yan (CSSE (4), 2008)

MI-WDIS: web data integration system for market intelligence. - Zhongmin Yan; Qingzhong Li; Shidong Zhang; Zhaohui Peng; Yongquan Dong; Yanhui Ding; Yongxin Zhang; Xiuxing Xu (CIKM, 2010)

Concluding Pattern of Web Page Based on String Pattern Matching. - Yiqing Cai; Xinjun Wang; Chunsheng Lu; Zhongmin Yan; Zhaohui Peng (WISM (2), 2011)

A Framework for Incremental Deep Web Crawler Based on URL Classification. - Zhixiao Zhang; Guoqing Dong; Zhaohui Peng; Zhongmin Yan (WISM (2), 2011)

A Novel URL Assignment Model Based on Multi-objective Decision Making Method. - Qiuyan Huang; Qingzhong Li; Zhongmin Yan (WISA, 2012)

Robust Web Data Extraction: A Novel Approach Based on Minimum Cost Script Edit Model. - Donglan Liu; Xinjun Wang; Zhongmin Yan; Qiuyan Li (WISM, 2012)

Constructing Domain Ontology of E-Commerce for Market Intelligence. - Qi Wu; Xinjun Wang; Zhongmin Yan (IEEE WISA, 2013)

Multi-tenant Service Composition Based on Granularity Computing. - Huihui Cai; Li-zhen Cui; Yuliang Shi; Lanju Kong; Zhongmin Yan (IEEE SCC, 2014)

Web Event Topic Analysis by Topic Feature Clustering and Extended LDA Model. - Yuanzi Xu; Qingzhong Li; Zhongmin Yan; Wei Wang (J. Softw., 2014)

Web Reviews and Events Matching Based on Event Feature Segments and Semi-Markov Conditional Random Fields. - Yuanzi Xu; Qingzhong Li; Zhongmin Yan; Wei Wang (J. Softw., 2014)

SLOF: Identify Density-Based Local Outliers in Big Data. - Haowen Guan; Qingzhong Li; Zhongmin Yan; Wei Wei (IEEE WISA, 2015)

Based on Entities Behavior Patterns of Heterogeneous Data Semantic Conflict Detection. - Haiyang Zhang; Zhongmin Yan; Chenfei Sun; Song Wei (IEEE WISA, 2015)

Mining Event Associations Using Structured Data and Classifiers. - Jinxin Zhao; Xinjun Wang; Zhongmin Yan; Song Wei (IEEE WISA, 2015)

Matching Reviews to Object Based on 2-Stage CRF. - Yongxin Zhang; Qingzhong Li; Dequan Wang; Yanhui Ding; Congli Liu; Zhongmin Yan (APWeb, 2015)

An Effective Hybrid Fraud Detection Method. - Chenfei Sun; Qingzhong Li; Lizhen Cui; Zhongmin Yan; Hui Li 048; Wei Wei (KSEM, 2015)

Healthcare Fraud Detection Based on Trustworthiness of Doctors. - Haoyi Cui; Qingzhong Li; Hui Li 048; Zhongmin Yan (Trustcom/BigDataSE/ISPA, 2016)

Process framework extracting and process recommendation based on BPD similarity clustering. - Lingtong Meng; Lanju Kong; Zhongmin Yan; Shidong Zhang (CSCWD, 2017)

Fraud Detection of Medical Insurance Employing Outlier Analysis. - Jinfeng Peng; Qingzhong Li; Hui Li 048; Lei Liu 003; Zhongmin Yan; Shidong Zhang (CSCWD, 2018)

Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information. - Wei Wei Wang; Hui Li 048; Lizhen Cui; Xiaoguang Hong; Zhongmin Yan (CSCWD, 2018)

Fraudster Detection Based on Label Propagation Algorithm. - Tingting Luan; Zhongmin Yan; Shidong Zhang; Yongqing Zheng (HPCC/SmartCity/DSS, 2018)

Health Insurance Anomaly Detection Based on Dynamic Heterogeneous Information Network. - Bei Zhao; Yuliang Shi; Kun Zhang 013; Zhongmin Yan (BIBM, 2019)

Power Demand Response Incentive Pricing Model. - Kun Zhang 013; Yuliang Shi; Yuecan Liu; Zhongmin Yan (IEEE BigData, 2019)

Feature Assessment and Classification of Diabetes Employing Concept Lattice. - Jing Hao; Yongqing Zheng; Chengyuan Xu; Zhongmin Yan; Hui Li 048 (CSCWD, 2019)

Fraudster Detection Based on Modularity Optimization Algorithm. - Tingting Luan; Zhongmin Yan; Shidong Zhang (CSCWD, 2019)

Author Name Disambiguation Using Graph Node Embedding Method. - Wenjing Zhang; Zhongmin Yan; Yongqing Zheng (CSCWD, 2019)

Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest. - Song Xu 003; Lei Liu 003; Lizhen Cui; Qingzhong Li; Zhongmin Yan (ICWS, 2019)

Abnormal Group-Based Joint Medical Fraud Detection. - Chenfei Sun; Zhongmin Yan; Qingzhong Li; Yongqing Zheng; Xudong Lu; Lizhen Cui (IEEE Access, 2019)

Collaborative Filtering: Graph Neural Network with Attention. - Yanli Guo; Zhongmin Yan (WISA, 2020)

Predicting Prescriptions via DSCA-Dual Sequences with Cross Attention Network. - Wu Lee; Yuliang Shi; Lin Cheng; Yongqing Zheng; Zhongmin Yan (BIBM, 2020)

Performance Modeling of a General GPS Scheduling Under Long Range Dependent Traffic. - Ran Zhang; Lei Liu 003; Xudong Lu; Zhongmin Yan; Hui Li 048 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Multi-interest Aware Recommendation in CrowdIntell Network. - Yixin Zhang; Wei He 020; Lizhen Cui; Lei Liu 003; Zhongmin Yan (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Encrypted Network Traffic Classification: A data driven approach. - Zhongkai Zhang; Lei Liu 003; Xudong Lu; Zhongmin Yan; Hui Li 048 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Recommended System: Attentive Neural Collaborative Filtering. - Yanli Guo; Zhongmin Yan (IEEE Access, 2020)

Medical Treatment Migration Prediction Based on GCN via Medical Insurance Data. - Yongjian Ren; Yuliang Shi; Kun Zhang 013; Zhiyong Chen; Zhongmin Yan (IEEE J. Biomed. Health Informatics, 2020)

Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. - Honglu Zhang; Yonghui Xu; Lei Liu 003; Xudong Lu; Xijie Lin; Zhongmin Yan; Lizhen Cui; Chunyan Miao (BIBM, 2021)

Few-Shot Partial Multi-Label Learning. - Yunfeng Zhao; Guoxian Yu; Lei Liu 003; Zhongmin Yan; Carlotta Domeniconi; Lizhen Cui (ICDM, 2021)

Few-Shot Partial-Label Learning. - Yunfeng Zhao; Guoxian Yu; Lei Liu 003; Zhongmin Yan; Lizhen Cui; Carlotta Domeniconi (IJCAI, 2021)

The Algorithm of Multi-source to Multi-sink Traffic scheduling. - Yang Liu; Lei Liu 003; Zhongmin Yan; Jia Hu 001 (MSN, 2021)

DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation. - Xianshuai Cao; Yuliang Shi; Han Yu 001; Jihu Wang; Xinjun Wang; Zhongmin Yan; Zhiyong Chen (SIGIR, 2021)

Cost-effective multi-instance multilabel active learning. - Cong Su; Zhongmin Yan; Guoxian Yu (Int. J. Intell. Syst., 2021)

Research on Active Detection Method of Network Congestion. - Ran Zhang; Jian Zhang; Lei Liu 003; Zhongmin Yan; Mianxiong Dong (GLOBECOM, 2022)

Few-shot Partial Multi-label Learning with Data Augmentation. - Yifan Sun; Yunfeng Zhao; Guoxian Yu; Zhongmin Yan; Carlotta Domeniconi (ICDM, 2022)

MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction. - Bo Li; Yuliang Shi; Lin Cheng; Zhongmin Yan; Xinjun Wang; Hui Li 048 (IJCNN, 2022)

Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation. - Xianshuai Cao; Yuliang Shi; Jihu Wang; Han Yu 001; Xinjun Wang; Zhongmin Yan (ACM Multimedia, 2022)

Differentially expressed genes prediction by multiple self-attention on epigenetics data. - Zimo Huang; Jun Wang 035; Zhongmin Yan; Maozu Guo 001 (Briefings Bioinform., 2022)

Tree sketch: An accurate and memory-efficient sketch for network-wide measurement. - Lei Liu 003; Tong Ding; Hui Feng; Zhongmin Yan; Xudong Lu (Comput. Commun., 2022)

Towards AI-Empowered Crowdsourcing. - Shipeng Wang 001; Qingzhong Li; Lizhen Cui; Zhongmin Yan; Yonghui Xu; Zhuan Shi; Zhiqi Shen 001; Han Yu 001 (CoRR, 2022)

Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation. - Haiting Zhong; Wei He 020; Lizhen Cui; Lei Liu 003; Zhongmin Yan; Kun Zhao (Data Sci. Eng., 2022)

An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection. - Tong Ding; Ning Liu 014; Zhongmin Yan; Lei Liu 003; Li-zhen Cui (J. Comput. Sci. Technol., 2022)

Long-Tail Cross Modal Hashing. - Zijun Gao; Jun Wang 035; Guoxian Yu; Zhongmin Yan; Carlotta Domeniconi; Jinglin Zhang (AAAI, 2023)

Test Case Level Predictive Mutation Testing Combining PIE and Natural Language Features. - Rui Xu; Yuliang Shi; Zhiyuan Su; Xinjun Wang; Zhongmin Yan; Fanyu Kong (APSEC, 2023)

FSFP: A Fine-Grained Online Service System Performance Fault Prediction Method Based on Cross-attention. - Nanfei Yang; Yuliang Shi; Zhiyuan Su; Xinjun Wang; Zhongmin Yan; Fanyu Kong (APSEC, 2023)

A Collaborative Cross-Attention Drug Recommendation Model Based on Patient and Medical Relationship Representations. - Yourong Li; Yuliang Shi; Yide Jin; Xinjun Wang; Zhongmin Yan; Zhiyong Chen; Fanyu Kong (BIBM, 2023)

Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. - Kai Zhang; Daokun Zhang; Ning Liu 014; Yonghua Yang; Yonghui Xu; Zhongmin Yan; Hui Li 048; Lizhen Cui (DASFAA (2), 2023)

FedADP: Communication-Efficient by Model Pruning for Federated Learning. - Haiyang Liu; Yuliang Shi; Zhiyuan Su; Kun Zhang 013; Xinjun Wang; Zhongmin Yan; Fanyu Kong (GLOBECOM, 2023)

Multi-View Graph Contrastive Learning for Urban Region Representation. - Yu Zhang; Yonghui Xu; Lizhen Cui; Zhongmin Yan (IJCNN, 2023)

Proactive Auto-scaling For Delay-sensitive Service Providers Over Public Clouds. - Weimeng Wang; Lei Liu 003; Zhongmin Yan (IWQoS, 2023)

Causal Discovery by Graph Attention Reinforcement Learning. - Dezhi Yang; Guoxian Yu; Jun Wang 035; Zhongmin Yan; Maozu Guo 001 (SDM, 2023)

Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. - Jihu Wang; Yuliang Shi; Han Yu 001; Xinjun Wang; Zhongmin Yan; Fanyu Kong (SIGIR, 2023)

Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning. - Jihu Wang; Yuliang Shi; Han Yu 001; Kun Zhang 013; Xinjun Wang; Zhongmin Yan; Hui Li 048 (Expert Syst. Appl., 2023)

A novel KG-based recommendation model via relation-aware attentional GCN. - Jihu Wang; Yuliang Shi; Han Yu 001; Zhongmin Yan; Hui Li 048; Zhenjie Chen (Knowl. Based Syst., 2023)

Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data. - Zimo Huang; Jun Wang 035; Zhongmin Yan; Lin Wan; Maozu Guo 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks. - Xingze Wang; Guoxian Yu; Zhongmin Yan; Lin Wan; Wei Wang 012; Lizhen Cui (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

KLECA: knowledge-level-evolution and category-aware personalized knowledge recommendation. - Lin Cheng; Yuliang Shi; Lin Li 013; Han Yu 001; Xinjun Wang; Zhongmin Yan (Knowl. Inf. Syst., 2023)

Few-shot partial multi-label learning via prototype rectification. - Yunfeng Zhao; Guoxian Yu; Lei Liu 003; Zhongmin Yan; Carlotta Domeniconi; Xiayan Zhang; Lizhen Cui (Knowl. Inf. Syst., 2023)

Meta Multi-Instance Multi-Label learning by heterogeneous network fusion. - Sichao Qiu; Mengyi Wang; Yuanlin Yang 001; Guoxian Yu; Jun Wang 035; Zhongmin Yan; Carlotta Domeniconi; Maozu Guo 001 (Inf. Fusion, 2023)

MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. - Saisai Teng; Chenglin Yin; Yu Wang; Xiandong Chen; Zhongmin Yan; Lizhen Cui; Leyi Wei (Comput. Biol. Medicine, 2023)

MicroHFRCL: A History Faults Based Root Cause Localization Framework in Microservice Systems. - Leyao Zhang; Yuliang Shi; Kaiyuan Qi; Dong Wu; Xinjun Wang; Zhongmin Yan; Zhiyong Chen (IJCNN, 2024)

Achieving Trusted GPU Allocation: An Empirical Study on Efficiency Changes of Deep Learning Training Tasks. - Ziheng Zhang; Lei Liu; Zhongmin Yan (TrustCom, 2024)

IoV environment exploring coordination: A federated learning approach. - Tong Ding; Lei Liu 003; Yi Zhu; Lizhen Cui; Zhongmin Yan (Digit. Commun. Networks, 2024)

Umix: Sustainable Multi-UAV Coordination for Aerial-Terrestrial Networks. - Tong Ding; Lei Liu 003; Zhongmin Yan; Lizhen Cui (IEEE Trans. Netw. Sci. Eng., 2024)

Few-shot partial multi-label learning with synthetic features network. - Yifan Sun; Yunfeng Zhao; Guoxian Yu; Zhongmin Yan; Carlotta Domeniconi (Knowl. Inf. Syst., 2024)

Proactive Auto-Scaling for Delay-Sensitive IoT Applications Over Edge Clouds. - Weimeng Wang; Lei Liu 003; Zhongmin Yan (IEEE Internet Things J., 2024)

Performance Evaluation of Self-Similar GPS Scheduling: A Knowledge-Driven Dual-Task Deep Learning Approach. - Ran Zhang; Ning Liu 014; Lei Liu 003; Mianxiong Dong; Kaoru Ota; Zhongmin Yan (IEEE Trans. Cogn. Commun. Netw., 2024)

DPHM-Net:de-redundant multi-period hybrid modeling network for long-term series forecasting. - Chengdong Zheng; Yuliang Shi; Wu Lee; Lin Cheng; Xinjun Wang; Zhongmin Yan; Fanyu Kong (World Wide Web (WWW), 2024)

MCAMEF-BERT: an efficient deep learning method for RNA N7-methylguanosine site prediction via multi-branch feature integration. - Junlei Yu; Wenjia Gao; Siqi Chen 001; Ronglin Lu; Jianbo Qiao; Junru Jin; Leyi Wei; Hua Shi; Zilong Zhang; Feifei Cui; Xinbo Jiang; Zhongmin Yan (Briefings Bioinform., 2025)

Few-shot partial multi-label learning with credible non-candidate label. - Meng Wang 001; Yunfeng Zhao; Zhongmin Yan; Jinglin Zhang; Jun Wang; Guoxian Yu (Inf. Sci., 2025)

Enhancing Sustainable Data Collection With Unmanned Aerial Vehicles: A Deep Reinforcement Learning Approach. - Tong Ding; Lei Liu 003; Zhongmin Yan; Lizhen Cui (IEEE Internet Things J., 2025)

Cross-space topological contrastive learning for knowledge graph-aware issue recommendation. - Leihong Zhang; Yuliang Shi; Kaiyuan Qi; Dong Wu; Xinjun Wang; Zhongmin Yan; Zhiyong Chen (Knowl. Inf. Syst., 2025)