Hui Li - RankMe

56 papers A* 2B 2C 12Journal 19Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MDU-Net: Multi-resolution learning and differential clustering fusion for multivariate electricity time series forecasting. Inf. Syst. Yongming Guan, Chengdong Zheng, Yuliang Shi, Gang Wang, Linfeng Wu, Zhiyong Chen, Hui Li
2026	J	`jnl`	Multi-level dynamic fusion and temporal role-aware network for diagnosis prediction. J. Biomed. Informatics Zhuang Fu, Youshen Chi, Xiaojing Yu, Yuliang Shi, Lin Cheng, Xinyu Li, Zhiyong Chen, Hui Li
2026	J	`jnl`	SummFuseCare: extractive summarization enhancement and attention-based dual-modal fusion network for clinical risk prediction. Pattern Anal. Appl. Xinyue Li, Youshen Chi, Lin Cheng, Yuliang Shi, Qin Jiang, Zhiyong Chen, Hui Li
2025	J	`jnl`	Electricity behaviors anomaly detection based on multi-feature fusion and contrastive learning. Inf. Syst. Yongming Guan, Yuliang Shi, Gang Wang, Jian Zhang, Xinjun Wang, Zhiyong Chen, Hui Li
2025	C	`conf`	Hyperboloid-Aware Cross-Community Knowledge Graph Contrastive Learning for Paper Recommendation. CSCWD Tianxiang Rong, Jihu Wang, Ziyang Su, Yuliang Shi, Fanyu Kong, Zhiyong Chen, Hui Li
2025	—	`conf`	MuPaST: Multi-Period Aware Spatio-Temporal Representation Learning for Multivariate Time Series Classification. PAKDD (4) Xianpeng Li, Ziyang Su, Yuliang Shi, Lin Cheng, Xinjun Wang, Zhiyong Chen, Hui Li
2024	A*	`conf`	Multi-Dimensional Fair Federated Learning. AAAI Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu
2024	A*	`conf`	Semi-Asynchronous Online Federated Crowdsourcing. ICDE Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi
2023	J	`jnl`	A novel KG-based recommendation model via relation-aware attentional GCN. Knowl. Based Syst. Jihu Wang, Yuliang Shi, Han Yu, Zhongmin Yan, Hui Li, Zhenjie Chen
2023	—	`conf`	Efficient Log Anomaly Detection Based on Dimension Reduction and Attention Aware TCN. APWeb-WAIM (1) Zhihao Xu, Yuliang Shi, Zhiyuan Su, Li Song, Jianjun Zhang, Xinjun Wang, Hui Li
2023	J	`jnl`	Guided node graph convolutional networks for repository recommendation. Intell. Data Anal. Guoqiang Tan, Yuliang Shi, Jihu Wang, Hui Li, Zhiyong Chen, Xinjun Wang
2023	J	`jnl`	Multi-dimensional Fair Federated Learning. CoRR Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu
2023	B	`conf`	Multi-hop Relational Graph Attention Network for Text-to-SQL Parsing. IJCNN Hu Liu, Yuliang Shi, Jianlin Zhang, Xinjun Wang, Hui Li, Fanyu Kong
2023	—	`conf`	Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui
2023	J	`jnl`	Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning. Expert Syst. Appl. Jihu Wang, Yuliang Shi, Han Yu, Kun Zhang, Xinjun Wang, Zhongmin Yan, Hui Li
2023	J	`jnl`	Time interval uncertainty-aware and text-enhanced based disease prediction. J. Biomed. Informatics Dan Zhao, Yuliang Shi, Lin Cheng, Hui Li, Liguo Zhang, Hongmei Guo
2022	J	`jnl`	A Drug Recommendation Model Based on Message Propagation and DDI Gating Mechanism. IEEE J. Biomed. Health Informatics Yongjian Ren, Yuliang Shi, Kun Zhang, Xinjun Wang, Zhiyong Chen, Hui Li
2022	B	`conf`	MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction. IJCNN Bo Li, Yuliang Shi, Lin Cheng, Zhongmin Yan, Xinjun Wang, Hui Li
2022	J	`jnl`	McHa: a multistage clustering-based hierarchical attention model for knowledge graph-aware recommendation. World Wide Web Jihu Wang, Yuliang Shi, Dong Li, Kun Zhang, Zhiyong Chen, Hui Li
2021	J	`jnl`	Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks. Data Sci. Eng. Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo, Zhiyuan Su
2020	—	`conf`	A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing Microtasks. APWeb/WAIM (1) Lizhen Cui, Jing Chen, Wei He, Hui Li, Wei Guo
2020	—	`conf`	CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. BIBM Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li
2020	—	`conf`	Detection of Wrong Disease Information Using Knowledge-Based Embedding and Attention. DASFAA (3) Wei Ge, Wei Guo, Lizhen Cui, Hui Li, Lijin Liu
2020	—	`conf`	Encrypted Network Traffic Classification: A data driven approach. ISPA/BDCloud/SocialCom/SustainCom Zhongkai Zhang, Lei Liu, Xudong Lu, Zhongmin Yan, Hui Li
2020	—	`conf`	Performance Modeling of a General GPS Scheduling Under Long Range Dependent Traffic. ISPA/BDCloud/SocialCom/SustainCom Ran Zhang, Lei Liu, Xudong Lu, Zhongmin Yan, Hui Li
2020	—	`conf`	Predicting Hospital Readmission Using Graph Representation Learning Based on Patient and Disease Bipartite Graph. DASFAA (2) Zhiqi Liu, Lizhen Cui, Wei Guo, Wei He, Hui Li, Jun Gao
2020	—	`conf`	Task Assignment with Consensus Decision for Spatial Crowdsouring. ISPA/BDCloud/SocialCom/SustainCom Xiaomeng Lian, Wei He, Lizhen Cui, Hui Li, Lei Liu
2019	J	`jnl`	An Interpretable Disease Onset Predictive Model Using Crossover Attention Mechanism From Electronic Health Records. IEEE Access Wei Guo, Wei Ge, Lizhen Cui, Hui Li, Lanju Kong
2019	J	`jnl`	An anomaly detection method to improve the intelligent level of smart articles based on multiple group correlation probability models. Int. J. Crowd Sci. Xudong Lu, Shipeng Wang, Fengjian Kang, Shijun Liu, Hui Li, Xiangzhen Xu, Lizhen Cui
2019	—	`conf`	Biclustering-sim: A Novel Method to Identify Abnormal Co-occurrence Medical Visit Behaviors. BIBM Ruican Li, Hui Li, Wei Guo, Lizhen Cui
2019	—	`conf`	Exploring the Big Pictorial Data for Tourists' Perception Analysis Through Three Deep Learning Models. FSDM Kun Zhang, Hui Li, Jinyi Zhang, Chunlin Li
2019	C	`conf`	Feature Assessment and Classification of Diabetes Employing Concept Lattice. CSCWD Jing Hao, Yongqing Zheng, Chengyuan Xu, Zhongmin Yan, Hui Li
2019	J	`jnl`	Heterogeneous network-based chronic disease progression mining. Big Data Min. Anal. Chenfei Sun, Qingzhong Li, Lizhen Cui, Hui Li, Yuliang Shi
2019	J	`jnl`	Patient Cluster Divergence Based Healthcare Insurance Fraudster Detection. IEEE Access Chenfei Sun, Qingzhong Li, Hui Li, Yuliang Shi, Shidong Zhang, Wei Guo
2019	J	`jnl`	Short-Term Load Forecasting of Virtual Machines Based on Improved Neural Network. IEEE Access Wei Guo, Wei Ge, Xudong Lu, Hui Li
2018	J	`jnl`	A Genetic Algorithm Based Data Replica Placement Strategy for Scientific Applications in Clouds. IEEE Trans. Serv. Comput. Lizhen Cui, Junhua Zhang, Lingxi Yue, Yuliang Shi, Hui Li, Dong Yuan
2018	—	`conf`	Answer Aggregation of Crowdsourcing Employing an Improved EM-Based Approach. ICA3PP (3) Ran Zhang, Lei Liu, Lizhen Cui, Wei He, Hui Li
2018	C	`conf`	Fraud Detection of Medical Insurance Employing Outlier Analysis. CSCWD Jinfeng Peng, Qingzhong Li, Hui Li, Lei Liu, Zhongmin Yan, Shidong Zhang
2018	C	`conf`	Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information. CSCWD Wei Wei Wang, Hui Li, Lizhen Cui, Xiaoguang Hong, Zhongmin Yan
2018	—	`conf`	Resource Scheduling for Energy-Efficient in Cloud-Computing Data Centers. HPCC/SmartCity/DSS Song Xu, Lei Liu, Lizhen Cui, Xiujuan Chang, Hui Li
2018	J	`jnl`	TPGraph: a hospital readmission prediction method based on temporal phenotype graphs. Int. J. Data Min. Bioinform. Lizhen Cui, Xiangzhen Xu, Shijun Liu, Hui Li, Zhiqi Liu
2017	C	`conf`	Community Outlier Based Fraudster Detection. KSEM Chenfei Sun, Qingzhong Li, Hui Li, Shidong Zhang, Yongqing Zheng
2017	—	`conf`	Congestion Prediction of Urban Traffic Employing SRBDP. ISPA/IUCC Pengcheng Jiang, Lei Liu, Lizhen Cui, Hui Li, Yuliang Shi
2017	—	`conf`	Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes. BIBM Xiangzhen Xu, Lizhen Cui, Shijun Liu, Hui Li, Lei Liu, Yongqing Zheng
2016	C	`conf`	Collaborative Prediction Model of Disease Risk by Mining Electronic Health Records. CollaborateCom Shuai Zhang, Lei Liu, Hui Li, Lizhen Cui
2016	—	`conf`	Healthcare Fraud Detection Based on Trustworthiness of Doctors. Trustcom/BigDataSE/ISPA Haoyi Cui, Qingzhong Li, Hui Li, Zhongmin Yan
2016	—	`conf`	MTPGraph: A Data-Driven Approach to Predict Medical Risk Based on Temporal Profile Graph. Trustcom/BigDataSE/ISPA Shuai Zhang, Lei Liu, Hui Li, Zongshui Xiao, Lizhen Cui
2016	—	`conf`	Maximizing the Availability of Process Services in Mobile Computing Environments. SCC Wei He, Hui Li, Lizhen Cui, Shuoyan Lu
2016	—	`conf`	Maximizing the Influence Ranking Under Limited Cost in Social Network. APWeb (1) Xiaoguang Hong, Ziyan Liu, Zhaohui Peng, Zhiyong Chen, Hui Li
2016	—	`conf`	Penalty Cost Minimization for Multi-tenant Query Deadline Employing Cache Optimization and Log Based Dispatching. Trustcom/BigDataSE/ISPA Lida Zou, Qingzhong Li, Hui Li, Shidong Zhang, Yongqing Zheng, Zongshui Xiao
2015	C	`conf`	An Effective Hybrid Fraud Detection Method. KSEM Chenfei Sun, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Hui Li, Wei Wei
2015	C	`conf`	User Behavioral Context-Aware Service Recommendation for Personalized Mashups in Pervasive Environments. APWeb Wei He, Guozhen Ren, Lizhen Cui, Hui Li
2008	C	`conf`	Building web domain data integration system with user collaboration. CSCWD Yongquan Dong, Qingzhong Li, Hui Li, Zongmin Shang
2008	C	`conf`	Running smart process based on goals. CSCWD Zongmin Shang, Haiyang Wang, Liqiang Wang, Hui Li, Yongquan Dong
2008	C	`conf`	Virtual travel agency based on web services. CSCWD Hui Li, Haiyang Wang, Zongmin Shang, Yongquan Dong
2007	C	`conf`	Automatic Composition of Web Services Based on Rules and Meta-Services. CSCWD Hui Li, Haiyang Wang, Li-zhen Cui