Jiahang Liu

According to our database, Jiahang Liu authored at least 40 papers between 2004 and 2024.

Collaborative distances:

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

2024

A Robust Mismatch Removal Method for Image Matching Based on the Fusion of the Local Features and the Depth.

Xinpeng Ling, Jiahang Liu, Zexian Duan, Ji Luan

Remote. Sens., June, 2024

ERNet: A Rapid Road Crack Detection Method Using Low-Altitude UAV Remote Sensing Images.

Zexian Duan, Jiahang Liu, Xinpeng Ling, Jinlong Zhang, Zhiheng Liu

Remote. Sens., May, 2024

Shadow Detection in Remote Sensing Images Based on Spectral Radiance Separability Enhancement.

Jiahang Liu, Xiaozhen Wang, Mao Guo, Ruilei Feng, Yue Wang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Two-Stage Domain Alignment Single-Source Domain Generalization Network for Cross-Scene Hyperspectral Images Classification.

Xiaozhen Wang, Jiahang Liu, Yue Ni, Weijian Chi, Yangyu Fu

IEEE Trans. Geosci. Remote. Sens., 2024

CGGLNet: Semantic Segmentation Network for Remote Sensing Images Based on Category-Guided Global-Local Feature Interaction.

Yue Ni, Jiahang Liu, Weijian Chi, Xiaozhen Wang, Deren Li

IEEE Trans. Geosci. Remote. Sens., 2024

A Semantic Domain Adaption Framework for Cross-Domain Infrared Small Target Detection.

Weijian Chi, Jiahang Liu, Xiaozhen Wang, Yue Ni, Ruilei Feng

IEEE Trans. Geosci. Remote. Sens., 2024

Small-Object Detection in Remote Sensing Images With Super-Resolution Perception.

Jiahang Liu, Jinlong Zhang, Yue Ni, Weijian Chi, Zitong Qi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

FDGSNet: A Multimodal Gated Segmentation Network for Remote Sensing Image Based on Frequency Decomposition.

Jian Cui, Jiahang Liu, Yue Ni, Jinjin Wang, Manchun Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Cooperative path planning study of distributed multi-mobile robots based on optimised ACO algorithm.

Zhi Cai, Jiahang Liu, Lin Xu, Jiayi Wang

Robotics Auton. Syst., 2024

Symbolic Regression Data-Model-Informed Eco-Control for Maritime Carbon Emissions Reduction.

Yunze Leng, Yuxiang Zhang, Jiahang Liu, Shuzhi Sam Ge, Bernard Voon Ee How

Proceedings of the 18th IEEE International Conference on Control & Automation, 2024

2023

A Low-Cost and Robust Multi-Sensor Data Fusion Scheme for Heterogeneous Multi-Robot Cooperative Positioning in Indoor Environments.

Zhi Cai, Jiahang Liu, Weijian Chi, Bo Zhang

Remote. Sens., December, 2023

mFERMeta++ : Robust Multiview Facial Expression Recognition Based on Metahuman and Metalearning.

Shuo Jiang, Jiahang Liu, Yanmin Zhou, Zhipeng Wang, Bin He

Adv. Intell. Syst., October, 2023

Advances in Hyperspectral Image Classification Methods with Small Samples: A Review.

Xiaozhen Wang, Jiahang Liu, Weijian Chi, Weigang Wang, Yue Ni

Remote. Sens., August, 2023

Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles.

Yongqian Xiao, Xinglong Zhang, Xin Xu, Xueqing Liu, Jiahang Liu

IEEE Trans. Intell. Veh., January, 2023

Dynamic Loss Reweighting Method Based on Cumulative Classification Scores for Long-Tailed Remote Sensing Image Classification.

Jiahang Liu, Ruilei Feng, Peng Chen, Xiaozhen Wang, Yue Ni

Remote. Sens., January, 2023

Receding Horizon Actor-Critic Learning Control for Nonlinear Time-Delay Systems With Unknown Dynamics.

Jiahang Liu, Xinglong Zhang, Xin Xu, Quan Xiong

IEEE Trans. Syst. Man Cybern. Syst., 2023

Accurate Normal Measurement of Non-Lambertian Complex Surface Based on Photometric Stereo.

Yuze Yang, Jiahang Liu, Yue Ni, Cihan Li, Zihan Wang

IEEE Trans. Instrum. Meas., 2023

Spectral-Spatial Prototype Learning-Based Nearest Neighbor Classifier for Hyperspectral Images.

Dan Li, Yuan Shen, Fangqiang Kong, Jiahang Liu, Qiang Wang

IEEE Trans. Geosci. Remote. Sens., 2023

DBGNet: Dual-Branch Gate-Aware Network for Infrared Small Target Detection.

Weijian Chi, Jiahang Liu, Xiaozhen Wang, Ruilei Feng, Jian Cui

IEEE Trans. Geosci. Remote. Sens., 2023

Weakly Supervised Hyperspectral Image Classification With Few Samples Based on Intradomain Sample Expansion.

Xiaozhen Wang, Jiahang Liu, Weigang Wang, Weijian Chi, Ruilei Feng

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

Multiscale Fusion Network Based on Global Weighting for Hyperspectral Feature Selection.

Jinjin Wang, Jiahang Liu, Jian Cui, Ji Luan, Yangyu Fu

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

Edge Guidance Network for Semantic Segmentation of High-Resolution Remote Sensing Images.

Yue Ni, Jiahang Liu, Jian Cui, Yuze Yang, Xiaozhen Wang

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

Global Context Dependencies Aware Network for Efficient Semantic Segmentation of Fine-Resolution Remoted Sensing Images.

Jian Cui, Jiahang Liu, Jinjin Wang, Yue Ni

IEEE Geosci. Remote. Sens. Lett., 2023

Robot Learning in the Era of Foundation Models: A Survey.

Xuan Xiao, Jiahang Liu, Zhipeng Wang, Yanmin Zhou, Yong Qi, Qian Cheng, Bin He, Shuo Jiang

CoRR, 2023

2022

Robust Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Unknown Dynamics and State Constraints.

Xinglong Zhang, Jiahang Liu, Xin Xu, Shuyou Yu, Hong Chen

IEEE Trans. Syst. Man Cybern. Syst., 2022

Multiscale Object Detection in Remote Sensing Images Combined with Multi-Receptive-Field Features and Relation-Connected Attention.

Jiahang Liu, Donghao Yang, Fei Hu

Remote. Sens., 2022

Water Body Extraction in Remote Sensing Imagery Using Domain Adaptation-Based Network Embedding Selective Self-Attention and Multi-Scale Feature Fusion.

Jiahang Liu, Yue Wang

Remote. Sens., 2022

2021

Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines.

Jiahang Liu, Lei Zuo, Xin Xu, Xinglong Zhang, Junkai Ren, Qiang Fang, Xinwang Liu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.

Jiahang Liu, Zhenhua Huang, Xin Xu, Xinglong Zhang, Shiliang Sun, Dazi Li

IEEE Trans. Syst. Man Cybern. Syst., 2021

Superpixel-Based Multiple Statistical Feature Extraction Method for Classification of Hyperspectral Images.

Dan Li, Fangqiang Kong, Jiahang Liu, Qiang Wang

IEEE Trans. Geosci. Remote. Sens., 2021

2020

A deep learning framework based on Koopman operator for data-driven modeling of vehicle dynamics.

Yongqian Xiao, Xinglong Zhang, Xin Xu, Xueqing Liu, Jiahang Liu

CoRR, 2020

2019

Jointly Learning of Visual and Auditory: A New Approach for RS Image and Audio Cross-Modal Retrieval.

Mao Guo, Chenghu Zhou, Jiahang Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Robust Learning-based Predictive Control for Constrained Nonlinear Systems.

Xinglong Zhang, Jiahang Liu, Xin Xu, Hong Chen

CoRR, 2019

Scene Text Detection with Inception Text Proposal Generation Module.

Hang Zhang, Jiahang Liu, Tieqiao Chen

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018

Diurnal Dynamics and Seasonal Variations of Total Suspended Particulate Matter in Highly Turbid Hangzhou Bay Waters Based on the Geostationary Ocean Color Imager.

Jia Liu, Jiahang Liu, Xianqiang He, Delu Pan, Yan Bai, Feng Zhu, Tieqiao Chen, Yihao Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2017

Self-Learning Control Using Dual Heuristic Programming with Global Laplacian Eigenmaps.

Xin Xu, Huiyuan Yang, Chuanqiang Lian, Jiahang Liu

IEEE Trans. Ind. Electron., 2017

An Efficient Contrast Enhancement Method for Remote Sensing Images.

Jiahang Liu, Chenghu Zhou, Peng Chen, Chaomeng Kang

IEEE Geosci. Remote. Sens. Lett., 2017

Model-Free Multi-Kernel Learning control for nonlinear discrete-Time Systems.

Jiahang Liu, Xin Xu, Zhenhua Huang, Chuanqiang Lian

Int. J. Robotics Autom., 2017

2011

Shadow Detection in Remotely Sensed Images Based on Self-Adaptive Feature Selection.

Jiahang Liu, Tao Fang, Deren Li

IEEE Trans. Geosci. Remote. Sens., 2011

2004

Extracting damaged building information from single remote sensing images of post-earthquake.

Xinjian Shan, Jiahang Liu, Jingyuan Yin

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004