A transcriptional dynamic network during Arabidopsis thaliana pollen development. - Jigang Wang; Xiaojie Qiu; Yuhua Li; Youping Deng; Tieliu Shi (BMC Syst. Biol., 2011)

A Hybrid Kalman Filtering Approach Based on Federated Framework for Gas Turbine Engine Health Monitoring. - Feng Lu 006; Yihuan Huang; Jinquan Huang; Xiaojie Qiu (IEEE Access, 2018)

Aero Engine Gas Path Performance Tracking Based on Multi-Sensor Asynchronous Integration Filtering Approach. - Feng Lu 006; Chunyu Jiang; Jinquan Huang; Xiaojie Qiu (IEEE Access, 2018)

Insulator Fault Detection in Aerial Images Based on Ensemble Learning With Multi-Level Perception. - Hao Jiang 008; Xiaojie Qiu; Jing Chen 022; Xinyu Liu 006; Xiren Miao; Shengbin Zhuang (IEEE Access, 2019)

A Hierarchical Robust Control Design With Non-Parallel Distributed Compensator and Application to Aircraft Engines. - Muxuan Pan; Hao Wang; Binbin Gu; Xiaojie Qiu; Ye-Hwa Chen (IEEE Access, 2019)

Consensus tracking for nonlinear multi-agent systems with unknown disturbance by using model free adaptive iterative learning control. - Yingchun Wang; Haifeng Li; Xiaojie Qiu; Xiangpeng Xie 001 (Appl. Math. Comput., 2020)

Resilient model-free adaptive control for cyber-physical systems against jamming attack. - Xiaojie Qiu; Yingchun Wang; Xiangpeng Xie 001; Huaguang Zhang (Neurocomputing, 2020)

Restricted-Boltzmann-Based Extreme Learning Machine for Gas Path Fault Diagnosis of Turbofan Engine. - Feng Lu 006; Jindong Wu; Jinquan Huang; Xiaojie Qiu (IEEE Trans. Ind. Informatics, 2020)

Data-Driven-Based Event-Triggered Control for Nonlinear CPSs Against Jamming Attacks. - Yingchun Wang; Xiaojie Qiu; Huaguang Zhang; Xiangpeng Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Semi-supervised learning with pseudo-negative labels for image classification. - Hao Xu; Hui Xiao 005; Huazheng Hao; Li Dong 006; Xiaojie Qiu; Chengbin Peng (Knowl. Based Syst., 2023)

Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks. - Xiaojie Qiu; Yingchun Wang; Huaguang Zhang; Xiangpeng Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving. - Yuting Hong; Hui Xiao 005; Huazheng Hao; Xiaojie Qiu; Baochen Yao; Chengbin Peng (CoRR, 2024)

A multi-view consistency framework with semi-supervised domain adaptation. - Yuting Hong; Li Dong 006; Xiaojie Qiu; Hui Xiao 005; Baochen Yao; Siming Zheng; Chengbin Peng 001 (Eng. Appl. Artif. Intell., 2024)

C²F²: Cross-Task Cross-Domain Feature Fusion for Semi-Supervised Change Detection. - Dongjie Zhang 001; Yuting Hong; Xiaojie Qiu; Li Dong 006; Diqun Yan; Chengbin Peng 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Storm: Incorporating transient stochastic dynamics to infer the RNA velocity with metabolic labeling information. - Qiangwei Peng; Xiaojie Qiu; Tiejun Li (PLoS Comput. Biol., 2024)

Point Cloud Semantic Segmentation by Adaptively Fusing Information With Varying Distances. - Zefeng Jiang; Baochen Yao; Kangkang Song; Xiaojie Qiu; Chengbin Peng 001 (IEEE Signal Process. Lett., 2024)

Uncertainty-Guided Contrastive Learning for Weakly Supervised Point Cloud Segmentation. - Baochen Yao; Li Dong 006; Xiaojie Qiu; Kangkang Song; Diqun Yan; Chengbin Peng 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Data-driven-based fully distributed event-triggered control for nonlinear multi-agent systems. - Xiaojie Qiu; Wenchao Meng; Yingchun Wang; Qinmin Yang (Appl. Math. Comput., 2025)

Inferring stochastic dynamics with growth from cross-sectional data. - Stephen Zhang; Suryanarayana Maddu; Xiaojie Qiu; Victor Chardès (CoRR, 2025)

Geometric Generative Modeling with Noise-Conditioned Graph Networks. - Peter Pao-Huang; Mitchell Black 002; Xiaojie Qiu (CoRR, 2025)