Jianzhuo Yan - RankMe

45 papers B 3C 2Journal 14Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Brain asymmetry-guided network model for infarct lesion segmentation in acute ischemic stroke. Expert Syst. Appl. Lingli Li, Hongxiao Li, Jing Fang, Jianzhuo Yan, Yongchuan Yu
2026	J	`jnl`	Fine-grained dynamic graph learning for irregular multivariate time series. Inf. Process. Manag. Jinquan Ji, Chunyi Hou, Yu Cao, Yukun Ma, Jianzhuo Yan
2026	J	`jnl`	Graph-patchformer: Patch interaction transformer with adaptive graph learning for multivariate time series forecasting. Neural Networks Chunyi Hou, Yongchuan Yu, Jinquan Ji, Siyao Zhang, Xumeng Shen, Jianzhuo Yan
2026	J	`jnl`	Hierarchical spatio-temporal dynamic dependency learning for multivariate operating status prediction of pump station units. Comput. Ind. Eng. Panpan Qiu, Jianzhuo Yan, Yongchuan Yu, Hongxia Xu
2026	J	`jnl`	SMJE: Synthetic data-enhanced multi-head attention joint relation triplet extraction model for biomedical knowledge graph construction. Biomed. Signal Process. Control. Lingli Li, Hongxiao Li, Jing Fang, Di Wu, Waris Ali, Miaowen Jiang, Jianzhuo Yan
2025	J	`jnl`	TITD: enhancing optimized temporal position encoding with time intervals and temporal decay in irregular time series forecasting. Appl. Intell. Jinquan Ji, Yu Cao, Yukun Ma, Jianzhuo Yan
2024	—	`conf`	Risk Prediction of Lower Respiratory Tract Hospital-Acquired Infections Based on Electronic Health Record Data. ISAIMS Linfeng Tong, Hongxia Xu, Jianzhuo Yan, Yuncong Wang
2024	—	`conf`	Water Level Prediction at Cascade Pump Stations Based on Multi-Scale Augmented Temporal Decomposition Network. WI/IAT Xumeng Shen, Yongchuan Yu, Jianzhuo Yan, Chunyi Hou, Siyao Zhang
2023	—	`conf`	Enhancing Time Series Representation Learning with Spatiotemporal Dynamic Encoding. WI/IAT Jinquan Ji, Jianzhuo Yan, Yu Cao
2023	—	`conf`	NetFeatures-Transformer: Enhancing Brain Network Features to Classify Alzheimer's Disease. WI/IAT Yu Cao, Hongzhi Kuai, Ning Zhong, Bixin Wang, Fengmei Fan, Jianzhuo Yan
2022	—	`conf`	A Special Multivariate Polynomial Model for Diabetes Prediction and Analysis. ISAIMS Fumin Wang, Jianzhuo Yan, Hongxia Xu
2022	J	`jnl`	EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network. ISPRS Int. J. Geo Inf. Jianzhuo Yan, Lihong Chen, Yongchuan Yu, Hongxia Xu, Qingcai Gao, Kunpeng Cao, Jianhui Chen
2022	J	`jnl`	Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study. Neuroinformatics Jianzhuo Yan, Lihong Chen, Yongchuan Yu, Hongxia Xu, Zhe Xu, Ying Sheng, Jianhui Chen
2021	—	`conf`	A Water Quality Prediction Model Based on Knowledge- enhanced Deep Adversarial Network. WI/IAT (Workshop/Special Session) Jianzhuo Yan, Qingcai Gao, Jianhui Chen, Yongchuan Yu
2021	—	`conf`	An Analysis Method of Water Quality Influencing Factors Based on Wavelet Transform. ICAIIS Jianzhuo Yan, Yijie Hu
2021	—	`conf`	EEG Seizure Prediction Based on Empirical Mode Decomposition and Convolutional Neural Network. BI Jianzhuo Yan, Jinnan Li, Hongxia Xu, Yongchuan Yu, Lexin Pan, Xuerui Cheng, Shaofeng Tan
2020	C	`conf`	A Prediction Model of Gestational Diabetes Mellitus Based on First Pregnancy Test Index. HIS Jianzhuo Yan, Yanan Geng, Hongxia Xu, Shaofeng Tan, Dongdong He, Yongchuan Yu, Sinuo Deng, Xiaoxue Du
2020	J	`jnl`	An event based topic learning pipeline for neuroimaging literature mining. Brain Informatics Lihong Chen, Jianzhuo Yan, Jianhui Chen, Ying Sheng, Zhe Xu, Mufti Mahmud
2020	—	`conf`	Plateau Forest Detection Based on Regional Correlation. ICCPR Jia-Qi Zhang, Ke-Bin Jia, Zhi-Hao Wei, Pengyu Liu, Ying Ma, Jianzhuo Yan
2020	—	`conf`	Research on Named Entity Recognition in Chinese EMR Based on Semi-Supervised Learning with Dual Selected Strategy. ACAI Jianzhuo Yan, Yanan Geng, Hongxia Xu, Yongchuan Yu, Shaofeng Tan, Dongdong He
2020	—	`conf`	Terminology extraction in the field of water environment based on rules and statistics. CIPAE Jianzhuo Yan, Yun Qin, Yongchuan Yu, Hongxia Xu
2020	—	`conf`	Water Quality Data Outlier Detection Method Based on Spatial Series Features. FSDM Jianzhuo Yan, Ya Gao, Yongchuan Yu
2019	J	`jnl`	A EEG-based emotion recognition model with rhythm and time characteristics. Brain Informatics Jianzhuo Yan, Shangbin Chen, Sinuo Deng
2019	J	`jnl`	A data cleaning method for water quality based on improved hierarchical clustering algorithm. Int. J. Simul. Process. Model. Qingxuan Meng, Jianzhuo Yan
2019	J	`jnl`	Analyzing Emotional Oscillatory Brain Network for Valence and Arousal-Based Emotion Recognition Using EEG Data. Int. J. Inf. Technol. Decis. Mak. Jianzhuo Yan, Hongzhi Kuai, Jianhui Chen, Ning Zhong
2019	—	`conf`	Establishment of Risk Prediction Model for Retinopathy in Type 2 Diabetic Patients. BI Jianzhuo Yan, Xiaoxue Du, Yongchuan Yu, Hongxia Xu
2019	—	`conf`	Specificity Analysis of Picture-Induced Emotional EEG for Discrimination Between Schizophrenic and Control Participants. BI Hongzhi Kuai, Yang Yang, Jianhui Chen, Xiaofei Zhang, Jianzhuo Yan, Ning Zhong
2018	B	`conf`	A Data Cleaning Framework for Water Quality Based on NLDIW-PSO Based Optimal SVR. WI Jianzhuo Yan, Xinyue Chen, Yongchuan Yu
2018	—	`conf`	An EEG-Based Emotion Recognition Model with Rhythm and Time Characteristics. BI Jianzhuo Yan, Sinuo Deng
2017	—	`conf`	A Quantitative Analysis Method for Objectively Assessing the Depression Mood Status Based on Portable EEG and Self-rating Scale. BI Zhijiang Wan, Qiang He, Haiyan Zhou, Jie Yang, Jianzhuo Yan, Ning Zhong
2017	B	`conf`	A depressive mood status quantitative reasoning method based on portable EEG and self-rating scale. WI Zhijiang Wan, Ning Zhong, Jianhui Chen, Haiyan Zhou, Jie Yang, Jianzhuo Yan
2017	B	`conf`	A knowledge-driven approach for personalized literature recommendation based on deep semantic discrimination. WI Hongzhi Kuai, Jianzhuo Yan, Jianhui Chen, Yongchuan Yu, Haiyuan Wang, Ning Zhong
2017	—	`conf`	Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation. BI Hongzhi Kuai, Hongxia Xu, Jianzhuo Yan
2016	—	`conf`	A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics. BIH Wenjin Sheng, Hongxia Xu, Jianzhuo Yan, Jianhui Chen, Bin Shi, Dongsheng Wang, Hongzhi Kuai, Ningning Wang
2016	—	`conf`	A Probabilistic Method for Linking BI Provenances to Open Knowledge Base. BIH Jing Wang, Yongchuan Yu, Jianzhuo Yan, Jianhui Chen, Zhongcheng Zhao, Dongsheng Wang
2016	—	`conf`	A Provenance Driven Approach for Systematic EEG Data Analysis. BIH Xian Li, Jianzhuo Yan, Jianhui Chen, Yongchuan Yu, Ning Zhong
2015	—	`conf`	A Personalized Method of Literature Recommendation Based on Brain Informatics Provenances. BIH Ningning Wang, Ning Zhong, Jian Han, Jianhui Chen, Han Zhong, Taihei Kotake, Dongsheng Wang, Jianzhuo Yan
2015	J	`jnl`	Analysis of similarity measure in the longitudinal study using improved longest common subsequence method for lung cancer. Biomed. Signal Process. Control. Liying Fang, Min Wan, Mingwei Yu, Jianzhuo Yan, Zheng Liu, Pu Wang
2015	J	`jnl`	Feature selection method based on mutual information and class separability for dimension reduction in multidimensional time series for clinical data. Biomed. Signal Process. Control. Liying Fang, Han Zhao, Pu Wang, Mingwei Yu, Jianzhuo Yan, Wenshuai Cheng, Peiyu Chen
2015	—	`conf`	Visual Object Categorization from Whole to Fine: Evidence from ERP. BIH Haiyan Zhou, Sanxia Fan, JiaLiang Guo, Xiaomeng Ma, Jianzhuo Yan, Yulin Qin, Ning Zhong
2014	—	`conf`	The identification of Chinese named entity in the field of medicine based on Bootstrapping method. MFI Liying Long, Jianzhuo Yan, Liying Fang, Pengying Li, Xinyue Liu
2014	C	`conf`	Varying Coefficient Models for Analyzing the Effects of Risk Factors on Pregnant Women's Blood Pressure. ICMLA Wenshuai Cheng, Liying Fang, Lin Yang, Han Zhao, Pu Wang, Jianzhuo Yan
2012	—	`conf`	A Two-Stage Reduction Method Based on Rough Set and Factor Analysis. ICIC (1) Zheng Liu, Liying Fang, Mingwei Yu, Pu Wang, Jianzhuo Yan
2011	—	`conf`	Applying Factor Analysis to Water Quality Assessment: A Study Case of Wenyu River. NL-MUA Chen Gao, Jianzhuo Yan, Suhua Yang, Guohua Tan
2011	—	`conf`	Blogger's Interest Mining Based on Chinese Text Classification. NL-MUA Suhua Yang, Jianzhuo Yan, Chen Gao, Guohua Tan