Qichao Liu

According to our database, Qichao Liu authored at least 34 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cooperative Longitudinal Driving and Lane Assignment Strategy for Left-Turn Connected and Autonomous Vehicles at Signalized Intersections With a Contraflow Left-Turn Lane.

Qichao Liu, Jian Wang, Wei Wang, Xuedong Hua, Yuchuan Du

IEEE Trans. Intell. Transp. Syst., November, 2024

Composite Neighbor-Aware Convolutional Metric Networks for Hyperspectral Image Classification.

Qichao Liu, Liang Xiao, Nan Huang, Jinhui Tang

IEEE Trans. Neural Networks Learn. Syst., July, 2024

MSDEnet: Multi-scale detail enhanced network based on human visual system for medical image segmentation.

Yuangang Ma, Hong Xu, Yue Feng, Zhuosheng Lin, Fufeng Li, Xin Wu, Qichao Liu, Shuangsheng Zhang

Comput. Biol. Medicine, March, 2024

MSTSENet: Multiscale Spectral-Spatial Transformer with Squeeze and Excitation network for hyperspectral image classification.

Irfan Ahmad, Ghulam Farooque, Qichao Liu, Fazal Hadi, Liang Xiao

Eng. Appl. Artif. Intell., 2024

A Fairness-Oriented Control Framework for Safety-Critical Multi-Robot Systems: Alternative Authority Control.

Lei Shi, Qichao Liu, Cheng Zhou, Xiong Li

CoRR, 2024

Uncovering the Secrets of Human-Like Movement: A Fresh Perspective on Motion Planning.

Lei Shi, Qichao Liu, Cheng Zhou, Wentao Gao, Haotian Wu, Yu Zheng, Xiong Li

CoRR, 2024

PSC-Net: Integration of Convolutional Neural Networks and transformers for Physiological Signal Classification.

Qichao Liu, Yue Feng, Hong Xu, Jia Li, Zhuosheng Lin, Shengke Li, Shihan Qiu, Xin Wu, Yuangang Ma, Ying Xu, Fufeng Li

Biomed. Signal Process. Control., 2024

2023

CTransCNN: Combining transformer and CNN in multilabel medical image classification.

Xin Wu, Yue Feng, Hong Xu, Zhuosheng Lin, Tao Chen, Shengke Li, Shihan Qiu, Qichao Liu, Yuangang Ma, Shuangsheng Zhang

Knowl. Based Syst., December, 2023

Swin transformer with multiscale 3D atrous convolution for hyperspectral image classification.

Ghulam Farooque, Qichao Liu, Allah Bux Sargano, Liang Xiao

Eng. Appl. Artif. Intell., November, 2023

Learning Transferable Discriminative Knowledge From Attribute-Aligned Hyperspectral Images.

Qichao Liu, Liang Xiao, Nan Huang, Jinhui Tang

IEEE Trans. Geosci. Remote. Sens., 2023

S²DMSC: A Self-Supervised Deep Multilevel Subspace Clustering Approach for Large Hyperspectral Images.

Nan Huang, Liang Xiao, Qichao Liu, Jocelyn Chanussot

IEEE Trans. Geosci. Remote. Sens., 2023

PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change Detection.

Ling Hu, Qichao Liu, Jia Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

IVIU-Net: Implicit Variable Iterative Unrolling Network for Hyperspectral Sparse Unmixing.

Yuantian Shao, Qichao Liu, Liang Xiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Efficient Implementation for Composite CNN-Based HSI Classification Algorithm with Huawei Ascend Framework.

Kai Shi, Qichao Liu, Zhizhong Zheng, Liang Xiao

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Novel Contrastive Regularized Bipartite Network for Unsupervised Change Detection.

Ling Hu, Ran Meng, Qichao Liu, Jia Liu, Liang Xiao

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

CheXNet: Combing Transformer and CNN for Thorax Disease Diagnosis from Chest X-ray Images.

Xin Wu, Yue Feng, Hong Xu, Zhuosheng Lin, Shengke Li, Shihan Qiu, Qichao Liu, Yuangang Ma

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Multilevel Superpixel Structured Graph U-Nets for Hyperspectral Image Classification.

Qichao Liu, Liang Xiao, Jingxiang Yang, Zhihui Wei

IEEE Trans. Geosci. Remote. Sens., 2022

A Survey of Obfuscation and Deobfuscation Techniques in Android Code Protection.

Runsheng Guo, Qichao Liu, Man Zhang, Ning Hu, Hui Lu

Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

2021

CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification.

Qichao Liu, Liang Xiao, Jingxiang Yang, Zhihui Wei

IEEE Trans. Geosci. Remote. Sens., 2021

2020

Content-Guided Convolutional Neural Network for Hyperspectral Image Classification.

Qichao Liu, Liang Xiao, Jingxiang Yang, Jonathan Cheung-Wai Chan

IEEE Trans. Geosci. Remote. Sens., 2020

A Directional Message Propagation Convolutional Neural Network for Hyperspectral Images Classification.

Jian Yu, Qichao Liu, Liang Xiao, Zhihui Wei

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

PERONA-MALIK DIFFUSION DRIVEN CNN FOR SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGES.

Ning Wen, Qichao Liu, Liang Xiao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Data Augmentation and Refining with Steering Stencils for Supervised Classification of Hyperspectral Image.

Qichao Liu, Liang Xiao, Pengfei Liu, Nan Huang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Clustering Hyperspectral Images Via Sparse Dictionary Learning with Joint Sparsity and Shared Wavelets.

Nan Huang, Liang Xiao, Songze Tang, Qichao Liu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Hybrid Convolutional Neural Network with Anisotropic Diffusion for Hyperspectral Image Classification.

Feng Lu, Qichao Liu, Mohsen Molaei, Liang Xiao

Proceedings of the Image and Graphics - 10th International Conference, 2019

2016

Absorption Band Spectrum Features Extraction for Minerals Recognition Based on Local Spectral Continuum Removal.

Wei Zhou, Qichao Liu, Zhikang Xiang

Proceedings of the Geo-Spatial Knowledge and Intelligence, 2016

2012

Application of Metamodel Inference with Large-Scale Metamodels.

Qichao Liu, Jeff Gray, Marjan Mernik, Barrett R. Bryant

Int. J. Softw. Informatics, 2012

MMDiff: a modeling tool for metamodel comparison.

Qichao Liu, Marjan Mernik, Barrett R. Bryant

Proceedings of the 50th Annual Southeast Regional Conference, 2012

2010

Metamodel-driven evolution.

Qichao Liu

Proceedings of the Companion to the 25th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2010

Metamodel evolution through metamodel inference.

Qichao Liu

Proceedings of the Companion to the 25th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2010

Grammar Inference Technology Applications in Software Engineering.

Barrett R. Bryant, Marjan Mernik, Dejan Hrncic, Faizan Javed, Qichao Liu, Alan P. Sprague

Proceedings of the Grammatical Inference: Theoretical Results and Applications, 2010

Metamodel Recovery from Multi-tiered Domains Using Extended MARS.

Qichao Liu, Barrett R. Bryant, Marjan Mernik

Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010

2009

MARS: Metamodel Recovery from Multi-tiered Models Using Grammar Inference.

Qichao Liu, Faizan Javed, Marjan Mernik, Barrett R. Bryant, Jeff Gray, Alan P. Sprague, Dejan Hrncic

Proceedings of the TASE 2009, 2009

Grammar inference algorithms and applications in software engineering.

Marjan Mernik, Dejan Hrncic, Barrett R. Bryant, Alan P. Sprague, Jeff Gray, Qichao Liu, Faizan Javed

Proceedings of the XXII International Symposium on Information, 2009