Xiaoyuan Jing

30 papers A* 1Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Fault Detection of Solar Insecticidal Lamp Internet of Things: Recent Advance, Challenge, and Countermeasure.
J. Sens. Actuator Networks
Xing Yang, Zhengjie Wang, Lei Shu, Fan Yang, Xuanchen Guo, Xiaoyuan Jing
2026 J jnl
Compressive self-attention transformer for low-light enhancement and zero-element pixels restoration.
Pattern Recognit.
Changhui Hu, Donghang Jing, Dong Xu, Kerui Hu, Tiesheng Chen, Ziyun Cai, Fei Wu, Xiaoyuan Jing
2026 J jnl
Optimal Deployment of Solar Insecticidal Lamps With Cameras in Smart Agriculture.
IEEE Trans. Green Commun. Netw.
Pengju Si, Yuhao Zhang, Hui Zhang, Qin Su, Xiaoyuan Jing, Lei Shu
2025 J jnl
A Node Deployment Strategy in Solar Insecticidal Lamps Internet of Things With Respect to Partial Coverage and Energy Harvesting Requirements.
IEEE Trans. Sustain. Comput.
Fan Yang, Xiaoyu Tian, Zhaojun Zhang, Lei Shu, Xiaoyuan Jing
2025 J jnl
Graph refinement and consistency self-supervision for tensorized incomplete multi-view clustering.
Inf. Fusion
Wei Liu, Xiaoyuan Jing, Deyu Zeng, Tengyu Zhang
2025 J jnl
IIAG-CoFlow: Inter- and Intra-Channel Attention Transformer and Complete Flow for Low-Light Image Enhancement With Application to Night Traffic Monitoring Images.
IEEE Trans. Intell. Transp. Syst.
Changhui Hu, Tiesheng Chen, Donghang Jing, Kerui Hu, Yanyong Guo, Xiaoyuan Jing, Pan Liu
2025 J jnl
JTE-CFlow for Low-Light Enhancement and Zero-Element Pixels Restoration With Application to Night Traffic Monitoring Images.
IEEE Trans. Intell. Transp. Syst.
Changhui Hu, Yin Hu, Lintao Xu, Yanyong Guo, Ziyun Cai, Xiaoyuan Jing, Pan Liu
2025 J jnl
Mixer-transformer: Adaptive anomaly detection with multivariate time series.
J. Netw. Comput. Appl.
Xing Fang, Yuanfang Chen, Zakirul Alam Bhuiyan, Xiajun He, Guangxu Bian, Noël Crespi, Xiaoyuan Jing
2025 J jnl
Multiscale hybrid feature guided normalizing flow for low-light image enhancement.
Comput. Electr. Eng.
Changhui Hu, Yin Hu, Lin-Tao Xu, Ziyun Cai, Fei Wu, Xiaoyuan Jing, Xiaobo Lu
2025 J jnl
UPT-Flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement.
Pattern Recognit.
Lintao Xu, Changhui Hu, Yin Hu, Xiaoyuan Jing, Ziyun Cai, Xiaobo Lu
2024 J jnl
FHSI and QRCPE-Based Low-Light Enhancement With Application to Night Traffic Monitoring Images.
IEEE Trans. Intell. Transp. Syst.
Changhui Hu, Weilin Yi, Kerui Hu, Yanyong Guo, Xiaoyuan Jing, Pan Liu
2024 J jnl
Low-rank representation induced missing-view recovery for incomplete multi-view clustering.
Neurocomputing
Wei Liu, Xiaoyuan Jing, Xiaodong Jia, Xiaoke Zhu, Yaru Hao
2024 J jnl
Resan: A Residual Dual-Attention Network for Abnormal Cardiac Activity Detection.
Comput. Intell.
Xuhui Wang, Yuanyuan Zhu, Fei Wu, Long Gao, Datun Qi, Xiaoyuan Jing, Chong Luo
2024 J jnl
Tensor schatten-p norm guided incomplete multi-view self-representation clustering.
Knowl. Based Syst.
Wei Liu, Xiaoyuan Jing, Deyu Zeng, Tengyu Zhang
2023 J jnl
HSV-3S and 2D-GDA for High-Saturation Low-Light Image Enhancement in Night Traffic Monitoring.
IEEE Trans. Intell. Transp. Syst.
Changhui Hu, Lin-Tao Xu, Yanyong Guo, Xiaoyuan Jing, Xiaobo Lu, Pan Liu
2022 A* conf
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis.
CVPR
Ming Tao, Hao Tang, Fei Wu, Xiaoyuan Jing, Bing-Kun Bao, Changsheng Xu
2021 J jnl
Learning dynamics of gradient descent optimization in deep neural networks.
Sci. China Inf. Sci.
Wei Wu, Xiaoyuan Jing, Wencai Du, Guoliang Chen
2021 J jnl
Learning dynamics of kernel-based deep neural networks in manifolds.
Sci. China Inf. Sci.
Wei Wu, Xiaoyuan Jing, Wencai Du, Guoliang Chen
2020 J jnl
Diagonal Symmetric Pattern-Based Illumination Invariant Measure for Severe Illumination Variation Face Recognition.
IEEE Access
Changhui Hu, Fei Wu, Jian Yu, Xiaoyuan Jing, Xiaobo Lu, Pan Liu
2020 J jnl
Dual-regression model for visual tracking.
Neural Networks
Xin Li, Qiao Liu, Nana Fan, Zikun Zhou, Zhenyu He, Xiaoyuan Jing
2020 J jnl
Exploit the potential of Multi-column architecture for Crowd Counting.
CoRR
Junhao Cheng, Zhuojun Chen, Xinyu Zhang, Yizhou Li, Xiaoyuan Jing
2019 J jnl
Learning correlation filters in independent feature channels for robust visual tracking.
Pattern Recognit. Lett.
Cailing Wang, Yechao Xu, Huajun Liu, Xiaoyuan Jing
2019 — conf
The face recognition based on ensemble method.
AIIPCC
Guangliang Zhou, Changhui Hu, Xiaoyuan Jing, Jian Yu, Shen Jing
2018 — conf
Manifold Learning for Cross-project Software Defect Prediction.
CCIS
Jing Sun, Xiaoyuan Jing, Xiwei Dong
2018 — conf
Tracking with DAG Recurrent Neural Networks and Motion Revising.
CCIS
Cailing Wang, Zhenfei Zang, Huajun Liu, Xiaoyuan Jing
2017 J jnl
基于多核字典学习的软件缺陷预测 (Multiple Kernel Dictionary Learning for Software Defect Prediction).
计算机科学
Tiejian Wang, Fei Wu, Xiaoyuan Jing
2016 J jnl
Multiple kernel ensemble learning for software defect prediction.
Autom. Softw. Eng.
Tiejian Wang, Zhiwu Zhang, Xiaoyuan Jing, Liqiang Zhang
2016 J jnl
Non-negative sparse-based SemiBoost for software defect prediction.
Softw. Test. Verification Reliab.
Tiejian Wang, Zhiwu Zhang, Xiaoyuan Jing, Yanli Liu
2015 J jnl
Early classification on multivariate time series.
Neurocomputing
Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing, Tieyun Qian, Lingling Wang
2008 — conf
Local IMLDA and its Improvements.
CSSE (1)
Yongjun He, Xiaoyuan Jing