Qingshan Liu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 44

Top Topics

Object Segmentation

Histopathology Images

Convex Quadratic Programming

Top Venues

Publications

Shengqin Jiang, Qing Wang, Fengna Cheng, Yuankai Qi, Qingshan Liu
A Unified Object Counting Network With Object Occupation Prior. IEEE Trans. Circuits Syst. Video Technol. 34 (2) (2024)
You-Wei Luo, Chuan-Xian Ren, Xiao-Lin Xu, Qingshan Liu
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation. CoRR (2024)
Ying Zang, Chunan Yu, Chenglong Fu, Zhenfeng Xue, Qingshan Liu, Yong Zhang
Freshness uniformity measurement network based on multi-layer feature fusion and histogram layer. Signal Image Video Process. 18 (2) (2024)
Ying Zang, Runlong Cao, Hui Li, Wenjun Hu, Qingshan Liu
MAPD: multi-receptive field and attention mechanism for multispectral pedestrian detection. Vis. Comput. 40 (4) (2024)
Shengqin Jiang, Yongyue Mei, Peng Wang, Qingshan Liu
Exposure difference network for low-light image enhancement. Pattern Recognit. 156 (2024)
Han-Yu Wu, Qingshan Liu
Outer Synchronization for Multi-derivative Coupled Complex Networks with and without External Disturbance. ICONIP (1) (2023)
Yuanyuan Yue, Qingshan Liu, Ziming Zhang
A Distributed Projection-Based Algorithm with Local Estimators for Optimal Formation of Multi-robot System. ICONIP (1) (2023)
Miao Wang, Qingshan Liu
A robust cooperative localization algorithm based on covariance intersection method for multi-robot systems. PeerJ Comput. Sci. 9 (2023)
Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation. CoRR (2023)
Tiankang Su, Huihui Song, Dong Liu, Bo Liu, Qingshan Liu
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning. ICCV (2023)
Baoyuan Wu, Li Liu, Zihao Zhu, Qingshan Liu, Zhaofeng He, Siwei Lyu
Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example. CoRR (2023)
Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. CoRR (2023)
Ying Zang, Chenglong Fu, Tianrun Chen, Yuanqi Hu, Qingshan Liu, Wenjun Hu
Deep3DSketch+: Obtaining Customized 3D Model by Single Free-Hand Sketch through Deep Learning. CoRR (2023)
Yanling Zheng, Qingshan Liu, Guoyi Chi
A Discrete-time Distributed Optimization Algorithm for Multi-robot Coordination Target Monitor. ICARA (2023)
Ying Zang, Chenglong Fu, Dongsheng Yang, Hui Li, Chaotao Ding, Qingshan Liu
Transformer fusion and histogram layer multispectral pedestrian detection network. Signal Image Video Process. 17 (7) (2023)
Xiwang Meng, Qingshan Liu
A consensus algorithm based on multi-agent system with state noise and gradient disturbance for distributed convex optimization. Neurocomputing 519 (2023)
Yan Liu, Kaihua Zhang, Yaqian Zhao, Hu Chen, Qingshan Liu
Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection. Pattern Recognit. 139 (2023)
Qingshan Liu, Cuiyun Gao, Yang Zhao, Songqun Huang, Yuqing Zhang, Xiaoyu Dong, Zhonghai Lu
Health warning based on 3R ECG Sample's combined features and LSTM. Comput. Biol. Medicine 162 (2023)
Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu
Defenses in Adversarial Machine Learning: A Survey. CoRR (2023)
Yuan Yuan, Lei Lin, Qingshan Liu, Renlong Hang, Zengguang Zhou
SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification. Int. J. Appl. Earth Obs. Geoinformation 106 (2022)
Ying Zang, Dongsheng Yang, Tianjiao Liu, Hui Li, Shuguang Zhao, Qingshan Liu
SparseShift-GCN: High precision skeleton-based action recognition. Pattern Recognit. Lett. 153 (2022)
Li Yu, Wenshuai Chang, Qingshan Liu, Moncef Gabbouj
High-frequency guided CNN for video compression artifacts reduction. VCIP (2022)
Yanling Zheng, Qingshan Liu
A review of distributed optimization: Problems, models and algorithms. Neurocomputing 483 (2022)
Jingyi Huang, Shuaiyu Zhou, Hua Tu, Yuhong Yao, Qingshan Liu
Distributed Optimization Algorithm for Multi-Robot Formation with Virtual Reference Center. IEEE CAA J. Autom. Sinica 9 (4) (2022)
Qingshan Liu, Zhigang Zeng, Yaochu Jin
Distributed machine learning, optimization and applications. Neurocomputing 489 (2022)
Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu
Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. Medical Image Anal. 82 (2022)
Kaihua Zhang, Zicheng Zhao, Dong Liu, Qingshan Liu, Bo Liu
Deep Transport Network for Unsupervised Video Object Segmentation. ICCV (2021)
Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu
Likelihood-constrained coupled space learning for motion synthesis. Inf. Sci. 579 (2021)
Qingshan Liu, Changchun Chai
An Optimization Method of Carrier Suppression for UHF RFID. J. Circuits Syst. Comput. 30 (7) (2021)
Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu
Collaborative Local-Global Learning for Temporal Action Proposal. ACM Trans. Intell. Syst. Technol. 12 (5) (2021)
Miao Wang, Qingshan Liu, Yanling Zheng
A curvature-segmentation-based minimum time algorithm for autonomous vehicle velocity planning. Inf. Sci. 565 (2021)
Qi Zhao, Guangcan Liu, Qingshan Liu
Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor. Neurocomputing 463 (2021)
Ying Zang, Bo Yu, Longjiao Yu, Dongsheng Yang, Qingshan Liu
Far-Infrared Object Segmentation Focus on Transmission of Overall Semantic Information. IEEE Access 8 (2020)
Zilin Gao, Jiang Xiong, Jing Zhong, Fuming Liu, Qingshan Liu
Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks. Comput. Intell. Neurosci. 2020 (2020)
Yan Zhao, Qingshan Liu
A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints. Neural Networks 122 (2020)
Qingshan Liu, Changchun Chai, Yuqian Liu
A new method to improve the phase noise performance of the frequency synthesizer for UHF RFID. IEICE Electron. Express 16 (5) (2019)
Qingshan Liu, Jiang Xiong, Shaofu Yang
Mixed-Norm Projection-Based Iterative Algorithm for Face Recognition. ISNN (2) (2019)
Yan Zhao, Qingshan Liu
A Continuous-Time Distributed Algorithm for Solving a Class of Decomposable Nonconvex Quadratic Programming. J. Artif. Intell. Soft Comput. Res. 8 (4) (2018)
Qingshan Liu, Jiang Xiong, Jing Zhong, Hong Ying, Kaixuan Li
A Distributed Algorithm Based on Multi-agent Network for Solving Linear Algebraic Equation. ISNN (2018)
Wenxiang Zhang, Qingshan Liu
Using the center loss function to improve deep learning performance for EEG signal classification. ICACI (2018)
Qingshan Liu, Kaixuan Li
A continuous-time algorithm based on multi-agent system for distributed least absolute deviation subject to hybrid constraints. IECON (2017)
Jian Shang, Wei Zhang, Jiang Xiong, Qingshan Liu
Cognitive Load Recognition Using Multi-channel Complex Network Method. ISNN (1) (2017)
Jian Shang, Qingshan Liu
Cognitive Load Recognition Using Multi-threshold United Complex Network. ICONIP (6) (2017)
Jun Xu, Lei Xiang, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, Anant Madabhushi
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. IEEE Trans. Medical Imaging 35 (1) (2016)
Qingshan Liu, Yan Zhao, Long Cheng
Continuous-Time Multi-agent Network for Distributed Least Absolute Deviation. ISNN (2015)
Shengye Yan, Qingshan Liu
Inferring occluded features for fast object detection. Signal Process. 110 (2015)
Liguo Weng, Min Xia, Wei Wang, Qingshan Liu
Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network. Int. J. Syst. Sci. 46 (1) (2015)
Wei Zhang, Qingshan Liu
A one-layer discrete-time projection neural network for support vector classification. IJCNN (2014)
Shengye Yan, Xinxing Xu, Qingshan Liu
Learning the object location, scale and view for image categorization with adapted classifier. Inf. Sci. 281 (2014)
Liguo Weng, Qingshan Liu, Min Xia, Y. D. Song
Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination. Neurocomputing 125 (2014)
Stefano Squartini, Sanqing Hu, Qingshan Liu
Advances on Brain Inspired Computing. Cogn. Comput. 5 (2) (2013)
Pengpeng Ji, Shengye Yan, Qingshan Liu
Region-Based Spatial Sampling for Image Classification. ICIG (2013)
Qingshan Liu, Yan Zhao
A continuous-time recurrent neural network for real-time support vector regression. CICA (2013)
Yan Zhao, Qingshan Liu
Generalized recurrent neural network for ϵ-insensitive support vector regression. Math. Comput. Simul. 86 (2012)
Wankou Yang, Changyin Sun, Qingshan Liu, Karl Ricanek
Collaborative Representation Based Projections for Face Recognition. CCPR (2012)
Qingshan Liu, Yongqing Yang
Global exponential system of projection neural networks for system of generalized variational inequalities and related nonlinear minimax problems. Neurocomputing 73 (10-12) (2010)