IBDP: An Industrial Big Data Ingestion and Analysis Platform and Case Studies. - Cun Ji; Shijun Liu; Chenglei Yang; Lei Wu 002; Li Pan 001 (IIKI, 2015)

A Self-Evolving Method of Data Model for Cloud-Based Machine Data Ingestion. - Cun Ji; Shijun Liu; Chenglei Yang; Lizhen Cui; Li Pan 001; Lei Wu 002; Yingbo Liu (CLOUD, 2016)

A K-Motifs Discovery Approach for Large Time-Series Data Analysis. - Yupeng Hu; Cun Ji; Ming Jing; Xueqing Li (APWeb (2), 2016)

A Continuous Segmentation Algorithm for Streaming Time Series. - Yupeng Hu; Cun Ji; Ming Jing; Yiming Ding; Shuo Kuai; Xueqing Li (CollaborateCom, 2016)

A piecewise linear representation method based on importance data points for time series data. - Cun Ji; Shijun Liu; Chenglei Yang; Lei Wu 002; Li Pan 001; Xiangxu Meng (CSCWD, 2016)

Efficient Snapshot KNN Join Processing for Large Data Using MapReduce. - Yupeng Hu; Chong Yang; Cun Ji; Yang Xu 025; Xueqing Li (ICPADS, 2016)

Device Data Ingestion for Industrial Big Data Platforms with a Case Study. - Cun Ji; Qingshi Shao; Jiao Sun; Shijun Liu; Li Pan 001; Lei Wu 002; Chenglei Yang (Sensors, 2016)

A Shapelet Selection Algorithm for Time Series Classification: New Directions. - Cun Ji; Shijun Liu; Chenglei Yang; Li Pan 001; Lei Wu 002; Xiangxu Meng (IIKI, 2017)

A Fast Shapelet Discovery Algorithm Based on Important Data Points. - Cun Ji; Chao Zhao; Li Pan 001; Shijun Liu; Chenglei Yang; Lei Wu 002 (Int. J. Web Serv. Res., 2017)

A 2D Transform Based Distance Function for Time Series Classification. - Cun Ji; Xiunan Zou; Yupeng Hu; Shijun Liu (CollaborateCom, 2018)

XG-SF: An XGBoost Classifier Based on Shapelet Features for Time Series Classification. - Cun Ji; Xiunan Zou; Yupeng Hu; Shijun Liu; Lei Lyu 001; Xiangwei Zheng 001 (IIKI, 2018)

A new parallel simulation method for massive crowd. - Xiukai Zhao; Lei Lyu 001; Chen Lyu 001; Cun Ji (IIKI, 2018)

Disease Prediction Model Based on BiLSTM and Attention Mechanism. - Yang Yang; Xiangwei Zheng 001; Cun Ji (BIBM, 2019)

Selecting Superior Candidates from a Suitable Set: A Selective Extraction Algorithm for Accelerating Shapelet Discovery in Time Series Data. - Chao Zhao; Shijun Liu; Li Pan 001; Cun Ji; Chenglei Yang (CSCWD, 2019)

A fast shapelet selection algorithm for time series classification. - Cun Ji; Chao Zhao; Shijun Liu; Chenglei Yang; Li Pan 001; Lei Wu 002; Xiangxu Meng (Comput. Networks, 2019)

A just-in-time shapelet selection service for online time series classification. - Cun Ji; Chao Zhao; Li Pan 001; Shijun Liu; Chenglei Yang; Xiangxu Meng (Comput. Networks, 2019)

Emotion Classification Based on Brain Functional Connectivity Network. - Xiaofang Sun 003; Bin Hu 001; Xiangwei Zheng 001; Yongqiang Yin; Cun Ji (BIBM, 2020)

Cooperative Anomaly Detection Model and Real-Time Update Strategy for Industrial Stream Data. - Tengjiang Wang; Pengyu Yuan; Cun Ji; Shijun Liu (ChineseCSCW, 2020)

Fast Shapelet Discovery with Trend Feature Symbolization. - Shichao Zhang; Xiangwei Zheng 001; Cun Ji (ChineseCSCW, 2020)

A novel multi-resolution representation for time series sensor data analysis. - Yupeng Hu; Cun Ji; Qingke Zhang; Lin Chen; Peng Zhan; Xueqing Li (Soft Comput., 2020)

ADARC: An anomaly detection algorithm based on relative outlier distance and biseries correlation. - Cun Ji; Xiunan Zou; Shijun Liu; Li Pan 001 (Softw. Pract. Exp., 2020)

A Pervasive Multi-physiological Signal-Based Emotion Classification with Shapelet Transformation and Decision Fusion. - Shichao Zhang; Xiangwei Zheng 001; Mingzhe Zhang; Gengyuan Guo; Cun Ji (CollaborateCom (1), 2021)

ECG Prediction based on Bidirectional Time Series Chain Discovery Algorithm. - Xiangwei Zheng 001; Xiunan Zou; Xiuxiu Ren; Cun Ji; Mingzhe Zhang (ICCSE, 2021)

Edge user allocation by FOA in edge computing environment. - Tingting Li; Wenqi Niu; Cun Ji (J. Comput. Sci., 2021)

Multi-layer Representation Learning and Its Application to Electronic Health Records. - Shan Yang; Xiangwei Zheng 001; Cun Ji; Xuanchi Chen (Neural Process. Lett., 2021)

Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation. - Gengyuan Guo; Pengzhi Gao; Xiangwei Zheng 001; Cun Ji (BIBM, 2022)

Time series classification based on temporal features. - Cun Ji; Mingsen Du; Yupeng Hu; Shijun Liu; Li Pan 001; Xiangwei Zheng 001 (Appl. Soft Comput., 2022)

Fully convolutional networks with shapelet features for time series classification. - Cun Ji; Yupeng Hu; Shijun Liu; Li Pan 001; Bo Li 103; Xiangwei Zheng 001 (Inf. Sci., 2022)

An improved fast shapelet selection algorithm and its application to pervasive EEG. - Xiunan Zou; Xiangwei Zheng 001; Cun Ji; Yuang Zhang (Pers. Ubiquitous Comput., 2022)

Dynamic differential entropy and brain connectivity features based EEG emotion recognition. - Fa Zheng; Bin Hu 001; Xiangwei Zheng 001; Cun Ji; Ji Bian; Xiaomei Yu (Int. J. Intell. Syst., 2022)

Adaptive Shapelet Selection for Time Series Classification. - Yanxuan Wei; Yunxia Wang; Mingsen Du; Yupeng Hu; Cun Ji (CSCWD, 2023)

Automatic Component Identification Based on Time Series Classification for Intelligent Devices. - Mingsen Du; Yanxuan Wei; Yupeng Hu; Xiangwei Zheng 001; Cun Ji (ICDM (Workshops), 2023)

Multi-feature based network for multivariate time series classification. - Mingsen Du; Yanxuan Wei; Xiangwei Zheng 001; Cun Ji (Inf. Sci., 2023)

A dynamic and resource sharing virtual network mapping algorithm. - Xiancui Xiao; Xiangwei Zheng 001; Ji Bian; Cun Ji; Xinchun Cui (Digit. Commun. Networks, 2023)

Time series classification with random temporal features. - Cun Ji; Mingsen Du; Yanxuan Wei; Yupeng Hu; Shijun Liu; Li Pan 001; Xiangwei Zheng 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

Facial Expression Recognition Based on Spatial-Temporal Fusion with Attention Mechanism. - Lifeng Zhang; Xiangwei Zheng 001; Xuanchi Chen; Xiuxiu Ren; Cun Ji (Neural Process. Lett., 2023)

Time series classification based on Unet with 2D transformation. - Mingsen Du; Yunxia Wang; Yanxuan Wei; Xiaona Wu; Cun Ji (IIKI, 2024)

A New Genre of Content Creation: Combining Mixed Reality Technology and Handicraft. - Mingchuan Ren; Qinghong Miao; Wei Gai; Gaorong Lv; Cun Ji; Dongli Li; Chenglei Yang (IIKI, 2024)

Shapelet selection for time series classification. - Cun Ji; Yanxuan Wei; Xiang-wei Zheng 001 (Appl. Soft Comput., 2024)

Multivariate time series classification based on fusion features. - Mingsen Du; Yanxuan Wei; Yupeng Hu; Xiangwei Zheng 001; Cun Ji (Expert Syst. Appl., 2024)

Feature-fused residual network for time series classification. - Yanxuan Wei; Mingsen Du; Teng Li; Xiangwei Zheng 001; Cun Ji (J. King Saud Univ. Comput. Inf. Sci., 2024)

Causal and Local Correlations Based Network for Multivariate Time Series Classification. - Mingsen Du; Yanxuan Wei; Xiangwei Zheng 001; Cun Ji (Neurocomputing, 2025)

A hierarchical transformer-based network for multivariate time series classification. - Yingxia Tang; Yanxuan Wei; Teng Li; Xiangwei Zheng 001; Cun Ji (Inf. Syst., 2025)

ST-Tree with interpretability for multivariate time series classification. - Mingsen Du; Yanxuan Wei; Yingxia Tang; Xiangwei Zheng 001; Shoushui Wei; Cun Ji (Neural Networks, 2025)

Multi-Object Tracking based on Optimal Transport and Coordinate Attention Mechanism. - Wenjuan Shi; Xiangwei Zheng 001; Lifeng Zhang; Cun Ji; Yuang Zhang; Ji Bian (Signal Process., 2025)