Adaptive cluster general projective synchronization of complex dynamic networks in finite time. - Shengqin Jiang; Guoliang Cai; Shuiming Cai; Lixin Tian; Xiaobo Lu (Commun. Nonlinear Sci. Numer. Simul., 2015)

An improved sample-based model for background subtraction. - Shengqin Jiang; Xiaobo Lu (ICNC-FSKD, 2017)

A new background update algorithm for airborne camera in dynamic background. - Xiang Peng; Xiaobo Lu; Shengqin Jiang; Cong Li; Chengyi Pan (ICNC-FSKD, 2017)

Corrigendum to "Adaptive cluster general projective synchronization of complex dynamic networks in finite time" [28 (2015) 194-200]. - Shengqin Jiang; Guoliang Cai; Shuiming Cai; Lixin Tian; Xiaobo Lu (Commun. Nonlinear Sci. Numer. Simul., 2017)

Adaptive finite-time control for overlapping cluster synchronization in coupled complex networks. - Shengqin Jiang; Xiaobo Lu; Chao Xie; Shuiming Cai (Neurocomputing, 2017)

Adaptive outer synchronization between two complex delayed dynamical networks via aperiodically intermittent pinning control. - Xuqiang Lei; Shuiming Cai; Shengqin Jiang; Zengrong Liu (Neurocomputing, 2017)

Multiscale self-similarity and sparse representation based single image super-resolution. - Chao Xie; Weili Zeng; Shengqin Jiang; Xiaobo Lu (Neurocomputing, 2017)

Adaptive fixed-time control for cluster synchronisation of coupled complex networks with uncertain disturbances. - Shengqin Jiang; Xiaobo Lu; Guoliang Cai; Shuiming Cai (Int. J. Syst. Sci., 2017)

Bidirectionally aligned sparse representation for single image super-resolution. - Chao Xie; Weili Zeng; Shengqin Jiang; Xiaobo Lu (Multim. Tools Appl., 2018)

WeSamBE: A Weight-Sample-Based Method for Background Subtraction. - Shengqin Jiang; Xiaobo Lu (IEEE Trans. Circuits Syst. Video Technol., 2018)

SCRM: self-correlated representation model for visual tracking. - Shengqin Jiang; Xiaobo Lu; Fengna Cheng (Soft Comput., 2020)

Mask-Aware Networks for Crowd Counting. - Shengqin Jiang; Xiaobo Lu; Yinjie Lei; Lingqiao Liu (IEEE Trans. Circuits Syst. Video Technol., 2020)

Light fixed-time control for cluster synchronization of complex networks. - Shengqin Jiang; Yuankai Qi; Shuiming Cai; Xiaobo Lu (Neurocomputing, 2021)

D3D: Dual 3-D Convolutional Network for Real-Time Action Recognition. - Shengqin Jiang; Yuankai Qi; Haokui Zhang; Zongwen Bai; Xiaobo Lu; Peng Wang 023 (IEEE Trans. Ind. Informatics, 2021)

CrowdFusion: Refined Cross-Modal Fusion Network for RGB-T Crowd Counting. - Jialu Cai; Qing Wang; Shengqin Jiang (CCBR, 2023)

Crowd Counting with Online Knowledge Learning. - Shengqin Jiang; Bowen Li; Fengna Cheng; Qingshan Liu 001 (CoRR, 2023)

Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning. - Shengqin Jiang; Yaoyu Fang; Haokui Zhang; Peng Wang 023; Yuankai Qi; Qingshan Liu 001 (CoRR, 2023)

Uncertainty meets fixed-time control in neural networks. - Yukun Song; Shengqin Jiang; Yu Liu 029; Shuiming Cai; Xiaobo Lu (Neurocomputing, 2023)

RadarNet: A parallel spatiotemporal encoder network for radar extrapolation. - Wei Tian 002; Lei Yi; Xianghua Niu; Rong Fang; Lixia Zhang; Huanhuan Liu; Zhuo Xu; Shengqin Jiang; Yonghong Zhang (Neurocomputing, 2024)

Exposure difference network for low-light image enhancement. - Shengqin Jiang; Yongyue Mei; Peng Wang; Qingshan Liu (Pattern Recognit., 2024)

Tripartite-structure transformer for hyperspectral image classification. - Liuwei Wan; Meili Zhou; Shengqin Jiang; Zongwen Bai; Haokui Zhang (Comput. Intell., 2024)

A Unified Object Counting Network With Object Occupation Prior. - Shengqin Jiang; Qing Wang; Fengna Cheng; Yuankai Qi; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Compare and Focus: Multi-Scale View Aggregation for Crowd Counting. - Shengqin Jiang; Jialu Cai; Haokui Zhang; Yu Liu 029; Qingshan Liu 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Distillation-boosted heterogeneous architecture search for aphid counting. - Shengqin Jiang; Qian Jie; Fengna Cheng; Yu Liu; Kelu Yao; Chao Li (Expert Syst. Appl., 2025)

DuPt: Rehearsal-based continual learning with dual prompts. - Shengqin Jiang; Daolong Zhang; Fengna Cheng; Xiaobo Lu; Qingshan Liu 001 (Neural Networks, 2025)

Remote Sensing Object Counting With Online Knowledge Learning. - Shengqin Jiang; Yuan Gao; Bowen Li; Fengna Cheng; Renlong Hang; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Spatial-Temporal Interleaved Network for Efficient Action Recognition. - Shengqin Jiang; Haokui Zhang; Yuankai Qi; Qingshan Liu 001 (IEEE Trans. Ind. Informatics, 2025)

ProgRoCC: A Progressive Approach to Rough Crowd Counting. - Shengqin Jiang; Linfei Li; Haokui Zhang; Qingshan Liu 001; Amin Beheshti; Jian Yang 001; Anton van den Hengel; Quan Z. Sheng; Yuankai Qi (CoRR, 2025)

UST-SU: a U-shaped video prediction network based on partial autoregression. - Zhaojun Cui; Wei Tian; Fan Luo; Qi Liu; Shengqin Jiang (J. Supercomput., 2025)