Applying Factor Analysis to Water Quality Assessment: A Study Case of Wenyu River. - Chen Gao; Jianzhuo Yan; Suhua Yang; Guohua Tan (NL-MUA, 2011)

Blogger's Interest Mining Based on Chinese Text Classification. - Suhua Yang; Jianzhuo Yan; Chen Gao; Guohua Tan (NL-MUA, 2011)

A Two-Stage Reduction Method Based on Rough Set and Factor Analysis. - Zheng Liu; Liying Fang; Mingwei Yu; Pu Wang; Jianzhuo Yan (ICIC (1), 2012)

Varying Coefficient Models for Analyzing the Effects of Risk Factors on Pregnant Women's Blood Pressure. - Wenshuai Cheng; Liying Fang; Lin Yang; Han Zhao; Pu Wang; Jianzhuo Yan (ICMLA, 2014)

The identification of Chinese named entity in the field of medicine based on Bootstrapping method. - Liying Long; Jianzhuo Yan; Liying Fang; Pengying Li; Xinyue Liu (MFI, 2014)

A Personalized Method of Literature Recommendation Based on Brain Informatics Provenances. - Ningning Wang; Ning Zhong 001; Jian Han; Jianhui Chen; Han Zhong; Taihei Kotake; Dongsheng Wang 006; Jianzhuo Yan (BIH, 2015)

Visual Object Categorization from Whole to Fine: Evidence from ERP. - Haiyan Zhou; Sanxia Fan; JiaLiang Guo; Xiaomeng Ma; Jianzhuo Yan; Yulin Qin; Ning Zhong 001 (BIH, 2015)

Analysis of similarity measure in the longitudinal study using improved longest common subsequence method for lung cancer. - Liying Fang; Min Wan; Mingwei Yu; Jianzhuo Yan; Zheng Liu; Pu Wang (Biomed. Signal Process. Control., 2015)

Feature selection method based on mutual information and class separability for dimension reduction in multidimensional time series for clinical data. - Liying Fang; Han Zhao; Pu Wang; Mingwei Yu; Jianzhuo Yan; Wenshuai Cheng; Peiyu Chen (Biomed. Signal Process. Control., 2015)

A Provenance Driven Approach for Systematic EEG Data Analysis. - Xian Li; Jianzhuo Yan; Jianhui Chen; Yongchuan Yu; Ning Zhong 001 (BIH, 2016)

A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics. - Wenjin Sheng; Hongxia Xu; Jianzhuo Yan; Jianhui Chen; Bin Shi; Dongsheng Wang 006; Hongzhi Kuai; Ningning Wang (BIH, 2016)

A Probabilistic Method for Linking BI Provenances to Open Knowledge Base. - Jing Wang; Yongchuan Yu; Jianzhuo Yan; Jianhui Chen; Zhongcheng Zhao; Dongsheng Wang 006 (BIH, 2016)

Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation. - Hongzhi Kuai; Hongxia Xu; Jianzhuo Yan (BI, 2017)

A Quantitative Analysis Method for Objectively Assessing the Depression Mood Status Based on Portable EEG and Self-rating Scale. - Zhijiang Wan; Qiang He; Haiyan Zhou; Jie Yang; Jianzhuo Yan; Ning Zhong 001 (BI, 2017)

A knowledge-driven approach for personalized literature recommendation based on deep semantic discrimination. - Hongzhi Kuai; Jianzhuo Yan; Jianhui Chen; Yongchuan Yu; Haiyuan Wang; Ning Zhong 001 (WI, 2017)

A depressive mood status quantitative reasoning method based on portable EEG and self-rating scale. - Zhijiang Wan; Ning Zhong 001; Jianhui Chen; Haiyan Zhou; Jie Yang; Jianzhuo Yan (WI, 2017)

An EEG-Based Emotion Recognition Model with Rhythm and Time Characteristics. - Jianzhuo Yan; Sinuo Deng (BI, 2018)

A Data Cleaning Framework for Water Quality Based on NLDIW-PSO Based Optimal SVR. - Jianzhuo Yan; Xinyue Chen; Yongchuan Yu (WI, 2018)

Specificity Analysis of Picture-Induced Emotional EEG for Discrimination Between Schizophrenic and Control Participants. - Hongzhi Kuai; Yang Yang 051; Jianhui Chen; Xiaofei Zhang; Jianzhuo Yan; Ning Zhong 001 (BI, 2019)

Establishment of Risk Prediction Model for Retinopathy in Type 2 Diabetic Patients. - Jianzhuo Yan; Xiaoxue Du; Yongchuan Yu; Hongxia Xu (BI, 2019)

A EEG-based emotion recognition model with rhythm and time characteristics. - Jianzhuo Yan; Shangbin Chen; Sinuo Deng (Brain Informatics, 2019)

Analyzing Emotional Oscillatory Brain Network for Valence and Arousal-Based Emotion Recognition Using EEG Data. - Jianzhuo Yan; Hongzhi Kuai; Jianhui Chen; Ning Zhong 001 (Int. J. Inf. Technol. Decis. Mak., 2019)

A data cleaning method for water quality based on improved hierarchical clustering algorithm. - Qingxuan Meng; Jianzhuo Yan (Int. J. Simul. Process. Model., 2019)

Research on Named Entity Recognition in Chinese EMR Based on Semi-Supervised Learning with Dual Selected Strategy. - Jianzhuo Yan; Yanan Geng; Hongxia Xu; Yongchuan Yu; Shaofeng Tan; Dongdong He (ACAI, 2020)

Terminology extraction in the field of water environment based on rules and statistics. - Jianzhuo Yan; Yun Qin; Yongchuan Yu; Hongxia Xu (CIPAE, 2020)

Water Quality Data Outlier Detection Method Based on Spatial Series Features. - Jianzhuo Yan; Ya Gao; Yongchuan Yu (FSDM, 2020)

A Prediction Model of Gestational Diabetes Mellitus Based on First Pregnancy Test Index. - Jianzhuo Yan; Yanan Geng; Hongxia Xu; Shaofeng Tan; Dongdong He; Yongchuan Yu; Sinuo Deng; Xiaoxue Du (HIS, 2020)

Plateau Forest Detection Based on Regional Correlation. - Jia-Qi Zhang; Ke-Bin Jia; Zhi-Hao Wei; Pengyu Liu 001; Ying Ma; Jianzhuo Yan (ICCPR, 2020)

An event based topic learning pipeline for neuroimaging literature mining. - Lihong Chen; Jianzhuo Yan; Jianhui Chen; Ying Sheng 006; Zhe Xu; Mufti Mahmud (Brain Informatics, 2020)

EEG Seizure Prediction Based on Empirical Mode Decomposition and Convolutional Neural Network. - Jianzhuo Yan; Jinnan Li; Hongxia Xu; Yongchuan Yu; Lexin Pan; Xuerui Cheng; Shaofeng Tan (BI, 2021)

An Analysis Method of Water Quality Influencing Factors Based on Wavelet Transform. - Jianzhuo Yan; Yijie Hu (ICAIIS, 2021)

A Water Quality Prediction Model Based on Knowledge- enhanced Deep Adversarial Network. - Jianzhuo Yan; Qingcai Gao; Jianhui Chen; Yongchuan Yu (WI/IAT (Workshop/Special Session), 2021)

A Special Multivariate Polynomial Model for Diabetes Prediction and Analysis. - Fumin Wang; Jianzhuo Yan; Hongxia Xu (ISAIMS, 2022)

EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network. - Jianzhuo Yan; Lihong Chen; Yongchuan Yu; Hongxia Xu; Qingcai Gao; Kunpeng Cao; Jianhui Chen (ISPRS Int. J. Geo Inf., 2022)

Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study. - Jianzhuo Yan; Lihong Chen; Yongchuan Yu; Hongxia Xu; Zhe Xu; Ying Sheng 006; Jianhui Chen (Neuroinformatics, 2022)

NetFeatures-Transformer: Enhancing Brain Network Features to Classify Alzheimer's Disease. - Yu Cao; Hongzhi Kuai; Ning Zhong 001; Bixin Wang; Fengmei Fan; Jianzhuo Yan (WI/IAT, 2023)

Enhancing Time Series Representation Learning with Spatiotemporal Dynamic Encoding. - Jinquan Ji; Jianzhuo Yan; Yu Cao (WI/IAT, 2023)

Risk Prediction of Lower Respiratory Tract Hospital-Acquired Infections Based on Electronic Health Record Data. - Linfeng Tong; Hongxia Xu; Jianzhuo Yan; Yuncong Wang (ISAIMS, 2024)

Water Level Prediction at Cascade Pump Stations Based on Multi-Scale Augmented Temporal Decomposition Network. - Xumeng Shen; Yongchuan Yu; Jianzhuo Yan; Chunyi Hou; Siyao Zhang (WI/IAT, 2024)

TITD: enhancing optimized temporal position encoding with time intervals and temporal decay in irregular time series forecasting. - Jinquan Ji; Yu Cao; Yukun Ma; Jianzhuo Yan (Appl. Intell., 2025)