Parallel implementation for SAM algorithm based on GPU and distributed computing. - Haicheng Qu; Junping Zhang; Yushi Chen; Hao Chen 014; Zhouhan Lin (IGARSS, 2012)

Parallel Acceleration of SAM Algorithm and Performance Analysis. - Haicheng Qu; Junping Zhang; Zhouhan Lin; Hao Chen 014 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Instruction Detection in SCADA/Modbus Network Based on Machine Learning. - Haicheng Qu; Jitao Qin; Wanjun Liu; Hao Chen 014 (MLICOM (2), 2017)

Parallel Dimensionality-Varied Convolutional Neural Network for Hyperspectral Image Classification. - Haicheng Qu; Xiu Yin; Xuejian Liang; Wanjun Liu (ICIS, 2018)

Dimensionality-Varied Convolutional Neural Network for Hyperspectral Image Classification With Small-Sized Labeled Samples. - Xuejian Liang; Wanjun Liu; Ye Zhang; Jie Yu; Haicheng Qu (WHISPERS, 2018)

Joint Detection of Airplane Targets Based on Sar Images and Optical Images. - Jitao Qin; Haicheng Qu; Hao Chen 014; Wen Chen 024 (IGARSS, 2019)

Robust Visual Tracking Based on Complementary Diverse Information. - Yuzhe Xing; Wei Guo; Wanjun Liu; Haicheng Qu (CIS/RAM, 2019)

The comparison network model for cyber anomaly detection. - Haicheng Qu; Jitao Qin; Hao Chen 014 (Intell. Data Anal., 2019)

Research on Traffic Sign Recognition based on Convolutional Neural Network. - Wanjun Liu; Jiaxin Li; Haicheng Qu (CSAI, 2021)

Anomaly Detection for Industrial Control Networks Based on Improved One-Class Support Vector Machine. - Haicheng Qu; Jianzhong Zhou; Jitao Qin; Xiaorong Tian (Int. J. Pattern Recognit. Artif. Intell., 2021)

Feedback-Enhanced Few-Shot Transformer Learning for Small-Sized Hyperspectral Image Classification. - Lamei Liu; Dongyu Zuo; Ying Wang; Haicheng Qu (IEEE Geosci. Remote. Sens. Lett., 2022)

Ships Detection in SAR Images Based on Anchor-Free Model With Mask Guidance Features. - Haicheng Qu; Lei Shen; Wei Guo; Junkai Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Pruning Networks Using Filters Similarity Stability. - Haicheng Qu; Xuecong Zhang (ICSIM, 2023)

Image classification trusted model based on horizontal federated learning and SGX. - Xinlin Wang; Shunxiang Lou; Haicheng Qu (ICVIP, 2023)

OR Residual Connection Achieving Comparable Accuracy to ADD Residual Connection in Deep Residual Spiking Neural Networks. - Yimeng Shan; Xuerui Qiu; Rui-Jie Zhu 003; Ruike Li; Meng Wang; Haicheng Qu (CoRR, 2023)

Hierarchical MVSNet with cost volume separation and fusion based on U-shape feature extraction. - Wanjun Liu; Junkai Wang; Haicheng Qu; Lei Shen (Multim. Syst., 2023)

Image shadow removal algorithm guided by progressive attention mechanism. - Haicheng Qu; Chang Tong; Wanjun Liu (Signal Image Video Process., 2023)

Rapid Image Classification is Realized by Spiking Neural Network based on Attention Mechanism and Parallel Neurons. - Haicheng Qu; Wanzhong Wang (AIEE, 2024)

DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation Benchmark. - Haodong Li; Haicheng Qu; Xiaofeng Zhang (CoRR, 2024)

Multi-branch residual image semantic segmentation combined with inverse weight gated-control. - Haicheng Qu; Xiaona Wang; Ying Wang; Yao Chen (Image Vis. Comput., 2024)

SW-Net: anchor-free ship detection based on spatial feature enhancement and weight-guided fusion. - Haicheng Qu; Ruike Li; Yimeng Shan; Meng Wang (Signal Image Video Process., 2024)

Cross-Perception and Hierarchical Similarity Metric Network for Remote Sensing Image Change Detection. - Haicheng Qu; Lijuan Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning. - Yimeng Shan; Malu Zhang; Ruijie Zhu 003; Xuerui Qiu; Jason K. Eshraghian; Haicheng Qu (AAAI, 2025)

DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection. - Haodong Li; Haicheng Qu (CVM (1), 2025)

MSHV-Net: A Multi-Scale Hybrid Vision Network for skin image segmentation. - Haicheng Qu; Yi Gao; Qingling Jiang; Ying Wang (Digit. Signal Process., 2025)

Image Steganography With Dual Strategies: Defense and Attack. - Zhecong Ren; Wei Guo; Chang Lin; Haibo Jin; Haicheng Qu (IEEE Signal Process. Lett., 2025)

SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks. - Yimeng Shan; Zhenbang Ren; Haodi Wu; Wenjie Wei; Rui-Jie Zhu 003; Shuai Wang; Dehao Zhang; Yichen Xiao; Jieyuan Zhang; Kexin Shi; Jingzhinan Wang; Jason K. Eshraghian; et al. (CoRR, 2025)