Using Significant Classification Rules to Analyze Korean Customers' Power Consumption Behavior: Incremental Tree Induction using Cascading-and-Sharing Method. - Minghao Piao; Meijing Li; Keun Ho Ryu (CIT, 2010)

Protein function prediction using frequent patterns in protein-protein interaction networks. - Peipei Li 004; Lyong Heo; Meijing Li; Keun Ho Ryu; Gouchol Pok (FSKD, 2011)

BFSM: Finite state machine learned as name boundary definer for bio named entity recognition. - Tsendsuren Munkhdalai; Meijing Li; Erdenetuya Namsrai; Oyun-Erdene Namsrai; Keun Ho Ryu (iCAST, 2011)

A novel approach to mining access patterns. - Xiuming Yu; Meijing Li; Hyeongsoo Kim; Dong Gyu Lee; Jeong Seok Park; Keun Ho Ryu (iCAST, 2011)

Bio Named Entity Recognition Based on Co-training Algorithm. - Tsendsuren Munkhdalai; Meijing Li; Taewook Kim; Oyun-Erdene Namsrai; Seon-Phil Jeong; Jungpil Shin 001; Keun Ho Ryu (AINA Workshops, 2012)

Prediction of Web User Behavior by Discovering Temporal Relational Rules from Web Log Data. - Xiuming Yu; Meijing Li; Incheon Paik; Keun Ho Ryu (DEXA (2), 2012)

Prediction of protein disordered regions in a protein sequence based on gap-constraint subsequence patterns. - Meijing Li; Xiuming Yu; Taewook Kim; Keun Ho Ryu (iCAST, 2012)

A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition. - Eonseok Shin; Tsendsuren Munkhdalai; Meijing Li; Incheon Paik; Keun Ho Ryu (ICHIT (1), 2012)

An Application of Improved Gap-BIDE Algorithm for Discovering Access Patterns. - Xiuming Yu; Meijing Li; Taewook Kim; Seon-Phil Jeong; Keun Ho Ryu (Appl. Comput. Intell. Soft Comput., 2012)

An Active Co-Training Algorithm for Biomedical Named-Entity Recognition. - Tsendsuren Munkhdalai; Meijing Li; Unil Yun; Oyun-Erdene Namsrai; Keun Ho Ryu (J. Inf. Process. Syst., 2012)

Trigger Learning and ECG Parameter Customization for Remote Cardiac Clinical Care Information System. - Mohamed Ezzeldin A. Bashir; Dong Gyu Lee; Meijing Li; Jang-Whan Bae; Ho-Sun Shon; Myung Chan Cho; Keun Ho Ryu (IEEE Trans. Inf. Technol. Biomed., 2012)

A novel clustering method for animal trajectory analysis using Wireless Sensor Network. - Quang Hiep Vu; Meijing Li; Vu Thi Hong Nhan; Keun Ho Ryu (iCAST/UMEDIA, 2013)

Assessment of Electromagnetic Frequency Sounding Problem in a Near Surface Geological Environment. - Quang Hiep Vu; Meijing Li; Keun Ho Ryu (J. Adv. Comput. Intell. Intell. Informatics, 2013)

A Feature Selection-based Ensemble Method for Arrhythmia Classification. - Erdenetuya Namsrai; Tsendsuren Munkhdalai; Meijing Li; Jung-Hoon Shin; Oyun-Erdene Namsrai; Keun Ho Ryu (J. Inf. Process. Syst., 2013)

MapReduce-based web mining for prediction of web-user navigation. - Meijing Li; Xiuming Yu; Keun Ho Ryu (J. Inf. Sci., 2014)

Clustering of Web Users Based on Matrix of Influence Degree. - Xiuming Yu; Meijing Li; Keun Ho Ryu (ACIT-CSI, 2015)

Towards a Unified Named Entity Recognition System - Disease Mention Identification. - Tsendsuren Munkhdalai; Meijing Li; Khuyagbaatar Batsuren; Keun Ho Ryu (BIOINFORMATICS, 2015)

Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations. - Tsendsuren Munkhdalai; Meijing Li; Khuyagbaatar Batsuren; Hyeon Park; Nak Choi; Keun Ho Ryu (J. Cheminformatics, 2015)

DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM. - Feng Wang; Huichao Gong; Gaochao liu; Meijing Li; Chuangye Yan; Tian Xia; Xueming Li; Jianyang Zeng 001 (CoRR, 2016)

DeepEnergy: Prediction of Appliances Energy with Long-Short Term Memory Recurrent Neural Network. - Erdenebileg Batbaatar; Hyun Woo Park; Dingkun Li; Meijing Li; Keun Ho Ryu (ACIIDS (2), 2018)

Efficient Ensemble Methods for Classification on Clear Cell Renal Cell Carcinoma Clinical Dataset. - Kwang-Ho Park; Musa Ibrahim M. Ishag; Kwang Sun Ryu; Meijing Li; Keun Ho Ryu (ACIIDS (2), 2018)

Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition. - Meijing Li; Xiuming Yu; Keun Ho Ryu; Sanghyuk Lee; Nipon Theera-Umpon (Clust. Comput., 2018)

A Dependency Graph-Based Keyphrase Extraction Method Using Anti-patterns. - Khuyagbaatar Batsuren; Erdenebileg Batbaatar; Tsendsuren Munkhdalai; Meijing Li; Oyun-Erdene Namsrai; Keun Ho Ryu (J. Inf. Process. Syst., 2018)

Application of a Mobile Chronic Disease Health-Care System for Hypertension Based on Big Data Platforms. - Dingkun Li; Hyun Woo Park; Erdenebileg Batbaatar; Lkhagvadorj Munkhdalai; Ibrahim Musa; Meijing Li; Keun Ho Ryu (J. Sensors, 2018)

Performance Improvement of Open Source Based Business Intelligence System Using Database Modeling and Outlier Detection. - Tsatsral Amarbayasgalan; Meijing Li; Oyun-Erdene Namsrai; Bilguun Jargalsaikhan; Keun Ho Ryu (ACIIDS (Extended Posters), 2019)

Semantic-Emotion Neural Network for Emotion Recognition From Text. - Erdenebileg Batbaatar; Meijing Li; Keun Ho Ryu (IEEE Access, 2019)

Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Kwang-Ho Park; Heon Gyu Lee; Meijing Li; Keun Ho Ryu (IEEE Access, 2019)

VAR-GRU: A Hybrid Model for Multivariate Financial Time Series Prediction. - Lkhagvadorj Munkhdalai; Meijing Li; Nipon Theera-Umpon; Sansanee Auephanwiriyakul; Keun Ho Ryu (ACIIDS (2), 2020)

A Novel k-MPSO Clustering Algorithm for the Construction of Typical Driving Cycles. - Wei Yan; Meijing Li; Yong-Chang Zhong; Chunyan Qu; Guo-Xiang Li (IEEE Access, 2020)

Wafer map defect pattern classification based on convolutional neural network features and error-correcting output codes. - Cheng Hao Jin; Hyun-Jin Kim; Yongjun Piao; Meijing Li; Minghao Piao (J. Intell. Manuf., 2020)

BioBERT Based Efficient Clustering Framework for Biomedical Document Analysis. - Khishigsuren Davagdorj; Kwang-Ho Park; Tsatsral Amarbayasgalan; Lkhagvadorj Munkhdalai; Ling Wang 011; Meijing Li; Keun Ho Ryu (ICGEC, 2021)

Multi-attention and Multi-layer Hashing for Cross-Modal Retrieval. - Zhiyou Wang; Meijing Li; Tianjie Chen (ICGEC, 2021)

Distantly Supervised Relation Extraction Based on Multi-head Self-attention and Gate Mechanism. - Fengzhu Xu; Meijing Li; Keun Ho Ryu (ICGEC, 2021)

Prediction of Drug-Gene Interaction by Using Biomedical Subgraph Patterns. - Guangjin Zhao; Meijing Li; Yingying Jiang (ICGEC, 2021)

Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting. - Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Van Huy Pham 001; Meijing Li; Keun Ho Ryu; Nipon Theera-Umpon (IEEE Access, 2022)

A Novel Distributed K-Means Clustering Algorithm for Big Text Data. - Min Li; Meijing Li; Yonglong Cheng; Keun Ho Ryu (HP3C, 2023)

Data Augmentation Based on Word Importance and Deep Back-Translation for Low-Resource Biomedical Named Entity Recognition. - Yu Wang; Meijing Li; Runqing Huang (DSC, 2024)

MST-ARGCN: modality-squeeze transformer with attentional recurrent graph capsule network for multimodal sentiment analysis. - Chengyu Hu; Jin Liu; Xingye Li; Meijing Li; Huihua He (J. Supercomput., 2025)