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2020 – today
- 2024
[j27]Yuhang Tian, Xin Niu, Jing Chai
:
Partial label learning via weighted centroid clustering disambiguation. Neurocomputing 604: 128312 (2024)- [j26]Yuyi Wu, Lei Gao, Jing Chai, Zhi Li, Chenyang Ma, Fengqi Qiu, Qiang Yuan, Dingding Zhang:
Overview of Health-Monitoring Technology for Long-Distance Transportation Pipeline and Progress in DAS Technology Application. Sensors 24(2): 413 (2024) - [j25]Jing Chai, Fengqi Qiu, Lei Zhu, Dingding Zhang:
Evolution Characteristics of Void in the Caving Zone Using Fiber Optic Sensing. Sensors 24(2): 478 (2024) - [c5]Chengkun Liu, Jun Zhang, Jing Chai:
Confidence-Driven Semi-Supervised Partial Label Learning. IJCNN 2024: 1-8 - 2023
- [j24]Xianran Sun, Jing Chai:
Random forest feature selection for partial label learning. Neurocomputing 561: 126870 (2023) - [j23]Dingding Zhang, Zhiming Huang, Zhe Ma, Jianfeng Yang, Jing Chai:
Research on Similarity Simulation Experiment of Mine Pressure Appearance in Surface Gully Working Face Based on BOTDA. Sensors 23(22): 9063 (2023) - [c4]Xianran Sun, Jing Chai:
Label Confidence Based Ensemble Partial Label Learning. CCIS 2023: 31-37 - 2022
- [j22]Wengang Du, Jing Chai, Dingding Zhang, Yibo Ouyang, Yongliang Liu:
Study on Quantitative Characterization of Coupling Effect between Mining-Induced Coal-Rock Mass and Optical Fiber Sensing. Sensors 22(13): 5009 (2022) - [j21]Jing Chai, Ivor W. Tsang:
Learning With Label Proportions by Incorporating Unmarked Data. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5898-5912 (2022) - 2021
- [j20]Yuhui Wang, Jing Chai, Tian Lei:
Chinese UMUX: Cross-Cultural Adaptation for Perceived Usability Measurement. Int. J. Hum. Comput. Interact. 37(16): 1538-1550 (2021) - [j19]Dingding Zhang, Chenyang Ma, Yanyan Duan, Wengang Du, Jinxuan Liu, Jing Chai:
Wavelength Characteristic Analysis of a FBG Array Embedded in Quaternary Unconsolidated Strata during a Deep Borehole Installation. J. Sensors 2021: 1-13 (2021) - [j18]Qiang Yuan, Jing Chai, Yuzhu Zhang, Yongliang Liu, Yiwei Ren:
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. Sensors 21(17): 5985 (2021) - [j17]Mingbo Wang, Anyi Wang, Zhaoyang Liu, Heng Zhang, Jing Chai:
Mine MIMO Depth Receiver: An Intelligent Receiving Model Based on Densely Connected Convolutional Networks. Sensors 21(24): 8326 (2021) - 2020
- [j16]Wulin Lei, Jing Chai, Dingding Zhang, Yibo Ouyang, Zhe Ma, Wengang Du, Yongliang Liu:
Experimental Study on Overburden Deformation Evolution under Mining Effect Based on Fiber Bragg Grating Sensing Technology. J. Sensors 2020: 8850547:1-8850547:16 (2020) - [j15]Qiang Yuan, Jing Chai, Yiwei Ren, Yongliang Liu:
The Characterization Pattern of Overburden Deformation with Distributed Optical Fiber Sensing: An Analogue Model Test and Extensional Analysis. Sensors 20(24): 7215 (2020) - [j14]Jing Chai, Ivor W. Tsang, Weijie Chen:
Large Margin Partial Label Machine. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2594-2608 (2020)
2010 – 2019
- 2019
- [j13]Jing Chai, Wengang Du:
Experimental Study on the Application of BOTDA in the Overlying Strata Deformation Monitoring Induced by Coal Mining. J. Sensors 2019: 3439723:1-3439723:9 (2019) - 2018
- [j12]Jing Chai, Qi Liu, Jinxuan Liu, Guihua Zhang, Dingding Zhang, Fengqi Qiu:
Assessing the Difference in Measuring Bolt Stress: A Comparison of Two Optical Fiber Sensing Techniques. J. Sensors 2018: 7582605:1-7582605:11 (2018) - [j11]Shijiang Zhang, Jing Chai, Zehua Chen, Haiwu He:
基于Gossip协议的拜占庭共识算法 (Byzantine Consensus Algorithm Based on Gossip Protocol). 计算机科学 45(2): 20-24 (2018) - 2017
- [j10]Jing Chai, Bo Chen, Fan Liu, Zehua Chen, Xinghao Ding:
Multiple-Instance feature extraction at the bag and instance levels using the maximum trace-difference criterion. Inf. Sci. 385: 353-377 (2017) - [c3]Jing Chai, Weiwei Liu, Ivor W. Tsang, Xiao-Bo Shen:
Compact Multiple-Instance Learning. CIKM 2017: 2007-2010 - 2016
- [j9]Jing Chai, Zehua Chen, Hongtao Chen, Xinghao Ding:
Designing bag-level multiple-instance feature-weighting algorithms based on the large margin principle. Inf. Sci. 367-368: 783-808 (2016) - 2014
- [j8]Penglai Chen, Jing Chai, Lu Zhang, Debin Wang:
Development and Application of a Chinese Webpage Suicide Information Mining System (Sims). J. Medical Syst. 38(11): 88 (2014) - [j7]Jing Chai, Hongtao Chen, Lixia Huang, Fanhua Shang:
Maximum margin multiple-instance feature weighting. Pattern Recognit. 47(6): 2091-2103 (2014) - [j6]Jing Chai, Xinghao Ding, Hongtao Chen, Tingyu Li:
Multiple-instance discriminant analysis. Pattern Recognit. 47(7): 2517-2531 (2014) - [c2]Jing Chai, Yan Ge, Yanfang Liu, Wen Li, Lei Zhou, Lin Yao, Xianghong Sun:
Application of Frontal EEG Asymmetry to User Experience Research. HCI (23) 2014: 234-243 - [c1]Lin Yao, Yanfang Liu, Wen Li, Lei Zhou, Yan Ge, Jing Chai, Xianghong Sun:
Using Physiological Measures to Evaluate User Experience of Mobile Applications. HCI (23) 2014: 301-310 - 2011
- [j5]Fanhua Shang, Licheng Jiao, Jiarong Shi, Jing Chai:
Robust Positive semidefinite L-Isomap Ensemble. Pattern Recognit. Lett. 32(4): 640-649 (2011) - 2010
- [j4]Jing Chai, Hongwei Liu, Zheng Bao:
Generalized re-weighting local sampling mean discriminant analysis. Pattern Recognit. 43(10): 3422-3432 (2010) - [j3]Jing Chai, Hongwei Liu, Bo Chen, Zheng Bao:
Large margin nearest local mean classifier. Signal Process. 90(1): 236-248 (2010)
2000 – 2009
- 2009
- [j2]Bo Chen, Hongwei Liu, Jing Chai, Zheng Bao:
Large Margin Feature Weighting Method via Linear Programming. IEEE Trans. Knowl. Data Eng. 21(10): 1475-1488 (2009) - 2008
- [j1]Weiqiang Liang, Jing Chai, Yunfeng Guan, Wenjun Zhang, Dazhi He:
A Robust and Adaptive Carrier Recovery Method for Chinese DTTB Receiver. IEEE Trans. Broadcast. 54(1): 146-151 (2008)
Coauthor Index
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