Jing Chai

38 papers A* 1A 1B 1Journal 30Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
XBRLTagRec: Domain-Specific Fine-Tuning and Zero-Shot Re-Ranking with LLMs for Extreme Financial Numeral Labeling.
CoRR
Gang Hu, Qun Zhang, Jingyao Luo, Yile Jiang, Jing Chai, Haiyan Ding
2025 A* conf
Feature Generation Machine for Learning with Label Proportions.
ICDM
Jing Chai
2025 J jnl
Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation.
IEEE Access
Bangfa Jiang, Chengkun Liu, Jing Chai
2025 — conf
Multi-view 3D Object Detection by Using a Preluded 2D Detector.
ICIC (1)
Songyan Liu, Tong Xiao, Chaoyi Luo, Jing Chai, Xiaofei Liu
2025 J jnl
Structured insight: an innovative disambiguation paradigm for semi-supervised partial label learning.
J. King Saud Univ. Comput. Inf. Sci.
Xin Niu, Jing Chai, Musaed A. Alhussein, Khursheed Aurangzeb
2024 B conf
Confidence-Driven Semi-Supervised Partial Label Learning.
IJCNN
Chengkun Liu, Jun Zhang, Jing Chai
2024 J jnl
Evolution Characteristics of Void in the Caving Zone Using Fiber Optic Sensing.
Sensors
Jing Chai, Fengqi Qiu, Lei Zhu, Dingding Zhang
2024 — conf
Learning with Label Proportions Based on Adaptive Confidence and Instance Similarity.
ICKG
Jiale Wan, Jing Chai
2024 J jnl
Overview of Health-Monitoring Technology for Long-Distance Transportation Pipeline and Progress in DAS Technology Application.
Sensors
Yuyi Wu, Lei Gao, Jing Chai, Zhi Li, Chenyang Ma, Fengqi Qiu, Qiang Yuan, Dingding Zhang
2024 J jnl
Partial label learning via weighted centroid clustering disambiguation.
Neurocomputing
Yuhang Tian, Xin Niu, Jing Chai
2023 — conf
Label Confidence Based Ensemble Partial Label Learning.
CCIS
Xianran Sun, Jing Chai
2023 J jnl
Random forest feature selection for partial label learning.
Neurocomputing
Xianran Sun, Jing Chai
2023 J jnl
Research on Similarity Simulation Experiment of Mine Pressure Appearance in Surface Gully Working Face Based on BOTDA.
Sensors
Dingding Zhang, Zhiming Huang, Zhe Ma, Jianfeng Yang, Jing Chai
2022 J jnl
Learning With Label Proportions by Incorporating Unmarked Data.
IEEE Trans. Neural Networks Learn. Syst.
Jing Chai, Ivor W. Tsang
2022 J jnl
Study on Quantitative Characterization of Coupling Effect between Mining-Induced Coal-Rock Mass and Optical Fiber Sensing.
Sensors
Wengang Du, Jing Chai, Dingding Zhang, Yibo Ouyang, Yongliang Liu
2021 J jnl
Chinese UMUX: Cross-Cultural Adaptation for Perceived Usability Measurement.
Int. J. Hum. Comput. Interact.
Yuhui Wang, Jing Chai, Tian Lei
2021 J jnl
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
Qiang Yuan, Jing Chai, Yuzhu Zhang, Yongliang Liu, Yiwei Ren
2021 J jnl
Mine MIMO Depth Receiver: An Intelligent Receiving Model Based on Densely Connected Convolutional Networks.
Sensors
Mingbo Wang, Anyi Wang, Zhaoyang Liu, Heng Zhang, Jing Chai
2021 J jnl
Wavelength Characteristic Analysis of a FBG Array Embedded in Quaternary Unconsolidated Strata during a Deep Borehole Installation.
J. Sensors
Dingding Zhang, Chenyang Ma, Yanyan Duan, Wengang Du, Jinxuan Liu, Jing Chai
2020 J jnl
Experimental Study on Overburden Deformation Evolution under Mining Effect Based on Fiber Bragg Grating Sensing Technology.
J. Sensors
Wulin Lei, Jing Chai, Dingding Zhang, Yibo Ouyang, Zhe Ma, Wengang Du, Yongliang Liu
2020 J jnl
Large Margin Partial Label Machine.
IEEE Trans. Neural Networks Learn. Syst.
Jing Chai, Ivor W. Tsang, Weijie Chen
2020 J jnl
The Characterization Pattern of Overburden Deformation with Distributed Optical Fiber Sensing: An Analogue Model Test and Extensional Analysis.
Sensors
Qiang Yuan, Jing Chai, Yiwei Ren, Yongliang Liu
2019 J jnl
Experimental Study on the Application of BOTDA in the Overlying Strata Deformation Monitoring Induced by Coal Mining.
J. Sensors
Jing Chai, Wengang Du
2018 J jnl
Assessing the Difference in Measuring Bolt Stress: A Comparison of Two Optical Fiber Sensing Techniques.
J. Sensors
Jing Chai, Qi Liu, Jinxuan Liu, Guihua Zhang, Dingding Zhang, Fengqi Qiu
2018 J jnl
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
Shijiang Zhang, Jing Chai, Zehua Chen, Haiwu He
2017 A conf
Compact Multiple-Instance Learning.
CIKM
Jing Chai, Weiwei Liu, Ivor W. Tsang, Xiao-Bo Shen
2017 J jnl
Multiple-Instance feature extraction at the bag and instance levels using the maximum trace-difference criterion.
Inf. Sci.
Jing Chai, Bo Chen, Fan Liu, Zehua Chen, Xinghao Ding
2016 J jnl
Designing bag-level multiple-instance feature-weighting algorithms based on the large margin principle.
Inf. Sci.
Jing Chai, Zehua Chen, Hongtao Chen, Xinghao Ding
2014 — conf
Application of Frontal EEG Asymmetry to User Experience Research.
HCI (23)
Jing Chai, Yan Ge, Yanfang Liu, Wen Li, Lei Zhou, Lin Yao, Xianghong Sun
2014 J jnl
Development and Application of a Chinese Webpage Suicide Information Mining System (Sims).
J. Medical Syst.
Penglai Chen, Jing Chai, Lu Zhang, Debin Wang
2014 J jnl
Maximum margin multiple-instance feature weighting.
Pattern Recognit.
Jing Chai, Hongtao Chen, Lixia Huang, Fanhua Shang
2014 J jnl
Multiple-instance discriminant analysis.
Pattern Recognit.
Jing Chai, Xinghao Ding, Hongtao Chen, Tingyu Li
2014 — conf
Using Physiological Measures to Evaluate User Experience of Mobile Applications.
HCI (23)
Lin Yao, Yanfang Liu, Wen Li, Lei Zhou, Yan Ge, Jing Chai, Xianghong Sun
2011 J jnl
Robust Positive semidefinite L-Isomap Ensemble.
Pattern Recognit. Lett.
Fanhua Shang, Licheng Jiao, Jiarong Shi, Jing Chai
2010 J jnl
Generalized re-weighting local sampling mean discriminant analysis.
Pattern Recognit.
Jing Chai, Hongwei Liu, Zheng Bao
2010 J jnl
Large margin nearest local mean classifier.
Signal Process.
Jing Chai, Hongwei Liu, Bo Chen, Zheng Bao
2009 J jnl
Large Margin Feature Weighting Method via Linear Programming.
IEEE Trans. Knowl. Data Eng.
Bo Chen, Hongwei Liu, Jing Chai, Zheng Bao
2008 J jnl
A Robust and Adaptive Carrier Recovery Method for Chinese DTTB Receiver.
IEEE Trans. Broadcast.
Weiqiang Liang, Jing Chai, Yunfeng Guan, Wenjun Zhang, Dazhi He