k-DAG Based Lifetime Aware Data Collection in Wireless Sensor Networks. - Jingjing Fei; Hui Wu 001; Yongxin Wang (CoRR, 2013)

Frequency and time domain packet scheduling based on channel prediction with imperfect CQI in LTE. - Yongxin Wang; Kumbesan Sandrasegaran; Xinning Zhu; Jingjing Fei; Xiaoying Kong; Cheng-Chung Lin (CoRR, 2013)

Randomised multipath routing for secure data collection. - Wael Y. Alghamdi; Hui Wu 001; Jingjing Fei; Salil S. Kanhere (ISSNIP, 2014)

Lifetime and latency aware data collection based on k-tree. - Jingjing Fei; Hui Wu 001; Wael Y. Alghamdi (ISSNIP, 2015)

Lifetime-aware data collection in Wireless Sensor Networks. - Jingjing Fei; Hui Wu 001; Wenguang Zheng; Yongxin Wang (OnlineGreenComm, 2015)

Active Learning Methods with Deep Gaussian Processes. - Jingjing Fei; Jing Zhao 015; Shiliang Sun; Yan Liu (ICONIP (3), 2018)

Asymmetrical Reverse Connection and Smooth-NMS for Object Detection. - Juan Peng; Zhicheng Wang; Xuan Lv; Gang Wei; Jingjing Fei; Hongwei Zhang (PRCV (4), 2018)

A faster convergence and concise interpretability TSK fuzzy classifier deep-wide-based integrated learning. - Zhicheng Wang; Xueqian Pan; Gang Wei; Jingjing Fei; Xuan Lu (Appl. Soft Comput., 2019)

Online Anomaly Detection with Sparse Gaussian Processes. - Jingjing Fei; Shiliang Sun (CoRR, 2019)

A Variant of Gaussian Process Dynamical Systems. - Jing Zhao 015; Jingjing Fei; Shiliang Sun (CoRR, 2019)

Online anomaly detection with sparse Gaussian processes. - Minghao Gu; Jingjing Fei; Shiliang Sun (Neurocomputing, 2020)

DualSANet: Dual Spatial Attention Network for Iris Recognition. - Kai Yang; Zihao Xu; Jingjing Fei (WACV, 2021)

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels. - Yuchao Wang; Haochen Wang; Yujun Shen; Jingjing Fei; Wei Li 190; Guoqiang Jin; Liwei Wu; Rui Zhao 001; Xinyi Le (CVPR, 2022)

Learning from Future: A Novel Self-Training Framework for Semantic Segmentation. - Ye Du 002; Yujun Shen; Haochen Wang; Jingjing Fei; Wei Li 190; Liwei Wu; Rui Zhao 001; Zehua Fu; Qingjie Liu 001 (NeurIPS, 2022)

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection. - Tianpeng Bao; Jiadong Chen; Wei Li 190; Xiang Wang 012; Jingjing Fei; Liwei Wu; Rui Zhao 001; Ye Zheng (CoRR, 2022)

Real-Time Simulation Method of Flame Animation Based on the Deep Stripping Algorithm and Texture Mapping. - Jingjing Fei (J. Sensors, 2022)

Balancing Logit Variation for Long-Tailed Semantic Segmentation. - Yuchao Wang; Jingjing Fei; Haochen Wang; Wei Li 190; Tianpeng Bao; Liwei Wu; Rui Zhao 001; Yujun Shen (CVPR, 2023)

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection. - Tianpeng Bao; Jiadong Chen; Wei Li; Xiang Wang; Jingjing Fei; Liwei Wu; Rui Zhao; Ye Zheng (ICCV (Workshops), 2023)

Decoupled Consistency for Semi-supervised Medical Image Segmentation. - Faquan Chen; Jingjing Fei; Yaqi Chen; Chenxi Huang (MICCAI (1), 2023)

Multi-view Collaborative Gaussian Process Dynamical Systems. - Shiliang Sun; Jingjing Fei; Jing Zhao 015; Liang Mao (J. Mach. Learn. Res., 2023)

Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation. - Haochen Wang; Yujun Shen; Jingjing Fei; Wei Li; Liwei Wu; Yuxi Wang 001; Zhaoxiang Zhang 001 (Int. J. Comput. Vis., 2025)