Jing Chai

According to our database, Jing Chai authored at least 33 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Overview of Health-Monitoring Technology for Long-Distance Transportation Pipeline and Progress in DAS Technology Application.

Yuyi Wu, Lei Gao, Jing Chai, Zhi Li, Chenyang Ma, Fengqi Qiu, Qiang Yuan, Dingding Zhang

Sensors, January, 2024

Evolution Characteristics of Void in the Caving Zone Using Fiber Optic Sensing.

Jing Chai, Fengqi Qiu, Lei Zhu, Dingding Zhang

Sensors, January, 2024

Partial label learning via weighted centroid clustering disambiguation.

Yuhang Tian, Xin Niu, Jing Chai

Neurocomputing, 2024

Confidence-Driven Semi-Supervised Partial Label Learning.

Chengkun Liu, Jun Zhang, Jing Chai

Proceedings of the International Joint Conference on Neural Networks, 2024

Learning with Label Proportions Based on Adaptive Confidence and Instance Similarity.

Jiale Wan, Jing Chai

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

2023

Random forest feature selection for partial label learning.

Xianran Sun, Jing Chai

Neurocomputing, December, 2023

Research on Similarity Simulation Experiment of Mine Pressure Appearance in Surface Gully Working Face Based on BOTDA.

Dingding Zhang, Zhiming Huang, Zhe Ma, Jianfeng Yang, Jing Chai

Sensors, November, 2023

Label Confidence Based Ensemble Partial Label Learning.

Xianran Sun, Jing Chai

Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022

Learning With Label Proportions by Incorporating Unmarked Data.

Jing Chai, Ivor W. Tsang

IEEE Trans. Neural Networks Learn. Syst., 2022

Study on Quantitative Characterization of Coupling Effect between Mining-Induced Coal-Rock Mass and Optical Fiber Sensing.

Wengang Du, Jing Chai, Dingding Zhang, Yibo Ouyang, Yongliang Liu

Sensors, 2022

2021

Investigation of Deformation Pattern and Movement Law of the Huge-Thick Conglomerate Stratum by a Large-Scale 3D Model Test with Distributed Optical Fiber Sensor Monitoring.

Qiang Yuan, Jing Chai, Yuzhu Zhang, Yongliang Liu, Yiwei Ren

Sensors, 2021

Mine MIMO Depth Receiver: An Intelligent Receiving Model Based on Densely Connected Convolutional Networks.

Mingbo Wang, Anyi Wang, Zhaoyang Liu, Heng Zhang, Jing Chai

Sensors, 2021

Wavelength Characteristic Analysis of a FBG Array Embedded in Quaternary Unconsolidated Strata during a Deep Borehole Installation.

Dingding Zhang, Chenyang Ma, Yanyan Duan, Wengang Du, Jinxuan Liu, Jing Chai

J. Sensors, 2021

Chinese UMUX: Cross-Cultural Adaptation for Perceived Usability Measurement.

Yuhui Wang, Jing Chai, Tian Lei

Int. J. Hum. Comput. Interact., 2021

2020

Large Margin Partial Label Machine.

Jing Chai, Ivor W. Tsang, Weijie Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

The Characterization Pattern of Overburden Deformation with Distributed Optical Fiber Sensing: An Analogue Model Test and Extensional Analysis.

Qiang Yuan, Jing Chai, Yiwei Ren, Yongliang Liu

Sensors, 2020

Experimental Study on Overburden Deformation Evolution under Mining Effect Based on Fiber Bragg Grating Sensing Technology.

Wulin Lei, Jing Chai, Dingding Zhang, Yibo Ouyang, Zhe Ma, Wengang Du, Yongliang Liu

J. Sensors, 2020

2019

Experimental Study on the Application of BOTDA in the Overlying Strata Deformation Monitoring Induced by Coal Mining.

Jing Chai, Wengang Du

J. Sensors, 2019

2018

基于Gossip协议的拜占庭共识算法 (Byzantine Consensus Algorithm Based on Gossip Protocol).

Shijiang Zhang, Jing Chai, Zehua Chen, Haiwu He

计算机科学, 2018

Assessing the Difference in Measuring Bolt Stress: A Comparison of Two Optical Fiber Sensing Techniques.

Jing Chai, Qi Liu, Jinxuan Liu, Guihua Zhang, Dingding Zhang, Fengqi Qiu

J. Sensors, 2018

2017

Multiple-Instance feature extraction at the bag and instance levels using the maximum trace-difference criterion.

Jing Chai, Bo Chen, Fan Liu, Zehua Chen, Xinghao Ding

Inf. Sci., 2017

Compact Multiple-Instance Learning.

Jing Chai, Weiwei Liu, Ivor W. Tsang, Xiao-Bo Shen

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Designing bag-level multiple-instance feature-weighting algorithms based on the large margin principle.

Jing Chai, Zehua Chen, Hongtao Chen, Xinghao Ding

Inf. Sci., 2016

2014

Multiple-instance discriminant analysis.

Jing Chai, Xinghao Ding, Hongtao Chen, Tingyu Li

Pattern Recognit., 2014

Maximum margin multiple-instance feature weighting.

Jing Chai, Hongtao Chen, Lixia Huang, Fanhua Shang

Pattern Recognit., 2014

Development and Application of a Chinese Webpage Suicide Information Mining System (Sims).

Penglai Chen, Jing Chai, Lu Zhang, Debin Wang

J. Medical Syst., 2014

Using Physiological Measures to Evaluate User Experience of Mobile Applications.

Lin Yao, Yanfang Liu, Wen Li, Lei Zhou, Yan Ge, Jing Chai, Xianghong Sun

Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2014

Application of Frontal EEG Asymmetry to User Experience Research.

Jing Chai, Yan Ge, Yanfang Liu, Wen Li, Lei Zhou, Lin Yao, Xianghong Sun

Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2014

2011

Robust Positive semidefinite L-Isomap Ensemble.

Fanhua Shang, Licheng Jiao, Jiarong Shi, Jing Chai

Pattern Recognit. Lett., 2011

2010

Large margin nearest local mean classifier.

Jing Chai, Hongwei Liu, Bo Chen, Zheng Bao

Signal Process., 2010

Generalized re-weighting local sampling mean discriminant analysis.

Jing Chai, Hongwei Liu, Zheng Bao

Pattern Recognit., 2010

2009

Large Margin Feature Weighting Method via Linear Programming.

Bo Chen, Hongwei Liu, Jing Chai, Zheng Bao

IEEE Trans. Knowl. Data Eng., 2009

2008

A Robust and Adaptive Carrier Recovery Method for Chinese DTTB Receiver.

Weiqiang Liang, Jing Chai, Yunfeng Guan, Wenjun Zhang, Dazhi He

IEEE Trans. Broadcast., 2008