Fang Liu

According to our database, Fang Liu authored at least 330 papers between 2004 and 2025.

Collaborative distances:

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

2025

Preserving text space integrity for robust compositional zero-shot learning via mixture of pretrained experts.

Zehua Hao, Fang Liu, Licheng Jiao, Yaoyang Du, Shuo Li, Hao Wang, Pengfang Li, Xu Liu, Puhua Chen

Neurocomputing, 2025

2024

A Patch Diversity Transformer for Domain Generalized Semantic Segmentation.

Pei He, Licheng Jiao, Ronghua Shang, Xu Liu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang

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

Knowledge Guided Evolutionary Transformer for Remote Sensing Scene Classification.

Jiaxuan Zhao, Licheng Jiao, Chao Wang, Xu Liu, Fang Liu, Lingling Li, Mengru Ma, Shuyuan Yang

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Multi-Grained Gradual Inference Model for Multimedia Event Extraction.

Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Long Sun, Shuo Li, Lingling Li, Xu Liu

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Multidirectional Attention Fusion Network for SAR Change Detection.

Lingling Li, Qiong Liu, Guojin Cao, Licheng Jiao, Fang Liu, Xu Liu, Puhua Chen

Remote. Sens., October, 2024

Hierarchical Dynamic Graph Clustering Network.

Jie Chen, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Puhua Chen, Shuyuan Yang, Biao Hou

IEEE Trans. Knowl. Data Eng., September, 2024

Efficient LWPooling: Rethinking the Wavelet Pooling for Scene Parsing.

Yuting Yang, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Xiangrong Zhang

IEEE Trans. Circuits Syst. Video Technol., September, 2024

Domain Adaptation-Aware Transformer for Hyperspectral Object Tracking.

Yinan Wu, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Lingling Li

IEEE Trans. Circuits Syst. Video Technol., September, 2024

AI meets physics: a comprehensive survey.

Licheng Jiao, Xue Song, Chao You, Xu Liu, Lingling Li, Puhua Chen, Xu Tang, Zhixi Feng, Fang Liu, Yuwei Guo, Shuyuan Yang, Yangyang Li, Xiangrong Zhang, Wenping Ma, Shuang Wang, Jing Bai, Biao Hou

Artif. Intell. Rev., September, 2024

An Adaptive Migration Collaborative Network for Multimodal Image Classification.

Wenping Ma, Mengru Ma, Licheng Jiao, Fang Liu, Hao Zhu, Xu Liu, Shuyuan Yang, Biao Hou

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

Self Pseudo Entropy Knowledge Distillation for Semi-Supervised Semantic Segmentation.

Xiaoqiang Lu, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Robust and Effective: A Deep Matrix Factorization Framework for Classification.

Chenxi Tian, Licheng Jiao, Fang Liu, Xu Liu, Shuyuan Yang

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

Multiple Resolutions Detail Enhancement Network for Real-Time Image Semantic Segmentation.

Jing Gu, Xinkai Sun, Jie Feng, Shuyuan Yang, Fang Liu, Licheng Jiao

IEEE Trans. Artif. Intell., July, 2024

Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

Int. J. Comput. Vis., July, 2024

Multiscale Dynamic Curvelet Scattering Network.

Jie Gao, Licheng Jiao, Xu Liu, Lingling Li, Puhua Chen, Fang Liu, Shuyuan Yang

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

MBSI-Net: Multimodal Balanced Self-Learning Interaction Network for Image Classification.

Mengru Ma, Wenping Ma, Licheng Jiao, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang

IEEE Trans. Circuits Syst. Video Technol., May, 2024

A Quantum Evolutionary Learning Tracker for Video.

Ruohan Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

IEEE Trans. Evol. Comput., April, 2024

Evolutionary Dual-Stream Transformer.

Ruohan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang

IEEE Trans. Cybern., April, 2024

Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method.

Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Lingling Li

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

Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search.

Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

IEEE Trans. Evol. Comput., February, 2024

Contrastive Learning-Based Dual Dynamic GCN for SAR Image Scene Classification.

Fang Liu, Xiaoxue Qian, Licheng Jiao, Xiangrong Zhang, Lingling Li, Yuanhao Cui

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

Feature Distribution Representation Learning Based on Knowledge Transfer for Long-Tailed Classification.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

IEEE Trans. Multim., 2024

A Knowledge-Based Hierarchical Causal Inference Network for Video Action Recognition.

Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Lingling Li, Yuwei Guo, Puhua Chen

IEEE Trans. Multim., 2024

Bio-Inspired Multi-Scale Contourlet Attention Networks.

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Xiangrong Zhang

IEEE Trans. Multim., 2024

Multi-Scale Contourlet Knowledge Guide Learning Segmentation.

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Shuang Wang, Biao Hou

IEEE Trans. Multim., 2024

A Category-Aware Curriculum Learning for Data-Free Knowledge Distillation.

Xiufang Li, Licheng Jiao, Qigong Sun, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Multim., 2024

Cross-Domain Scene Unsupervised Learning Segmentation With Dynamic Subdomains.

Pei He, Licheng Jiao, Fang Liu, Xu Liu, Ronghua Shang, Shuang Wang

IEEE Trans. Multim., 2024

Fast and Effective: Progressive Hierarchical Fusion Classification for Remote Sensing Images.

Xueli Geng, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

IEEE Trans. Multim., 2024

Robust Instance-Based Semi-Supervised Learning Change Detection for Remote Sensing Images.

Yi Zuo, Lingling Li, Xu Liu, Zihan Gao, Licheng Jiao, Fang Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

Renormalized Connection for Scale-Preferred Object Detection in Satellite Imagery.

Fan Zhang, Lingling Li, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2024

Effective and Robust: A Discriminative Temporal Learning Transformer for Satellite Videos.

Xin Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

Globally-Aware Continuous-Time Redistribution Learning for RS Image Change Detection.

Xiaowen Zhang, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Wenping Ma, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

Adaptive Multi-Scale Transformer Tracker for Satellite Videos.

Xin Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Wenping Ma, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

Relation Learning Reasoning Meets Tiny Object Tracking in Satellite Videos.

Xiaoyan Yang, Licheng Jiao, Yangyang Li, Xu Liu, Fang Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

LGLFormer: Local-Global Lifting Transformer for Remote Sensing Scene Parsing.

Yuting Yang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

High-Order Relation Learning Transformer for Satellite Video Object Tracking.

Xiaoyan Yang, Licheng Jiao, Yangyang Li, Xu Liu, Lingling Li, Puhua Chen, Fang Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2024

Lighter and Robust: A Rotation-Invariant Transformer for VHR Image Change Detection.

Long Sun, Chao Li, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2024

MGPACNet: A Multiscale Geometric Prior Aware Cross-Modal Network for Images Fusion Classification.

Xue Song, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2024

MutSimNet: Mutually Reinforcing Similarity Learning for RS Image Change Detection.

Xu Liu, Yu Liu, Licheng Jiao, Lingling Li, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2024

Mask-Guided Correlation Learning for Few-Shot Segmentation in Remote Sensing Imagery.

Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen, Lingling Li

IEEE Trans. Geosci. Remote. Sens., 2024

Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest.

Guozhang Liu, Baochai Peng, Ting Liu, Pan Zhang, Mengke Yuan, Chaoran Lu, Ningning Cao, Sen Zhang, Simin Huang, Tao Wang, Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun, Gemine Vivone, Claudio Persello, Ronny Hänsch

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

$C^{2}N^{2}$: Complex-Valued Contourlet Neural Network.

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Yuwei Guo, Puhua Chen

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

Contrastive Learning With Context-Augmented Transformer for Change Detection in SAR Images.

Huihui Dong, Wenping Ma, Licheng Jiao, Fang Liu, Xu Liu, Hao Zhu

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

Satellite Videos Object Tracking Based on Enhanced Correlation Filter With Motion Prediction Network.

Puhua Chen, Lu Wang, Lei Guo, Xu Liu, Xiangrong Zhang, Licheng Jiao, Fang Liu

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

Cross-Scene Classification of Remote Sensing Images Based on General-Specific Prototype Contrastive Learning.

Puhua Chen, Yu Qiu, Lei Guo, Xiangrong Zhang, Fang Liu, Licheng Jiao, Lingling Li

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

Token singularity understanding and removal for transformers.

Dan Wang, Licheng Jiao, Ruohan Zhang, Shuyuan Yang, Fang Liu

Knowl. Based Syst., 2024

Multi-modal visual tracking based on textual generation.

Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu

Inf. Fusion, 2024

LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation.

Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, LingLing Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu

CoRR, 2024

CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track.

Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu

CoRR, 2024

Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation.

Zihan Gao, Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Wenping Ma, Yuwei Guo, Shuyuan Yang

CoRR, 2024

Technique Report of CVPR 2024 PBDL Challenges.

Ying Fu, Yu Li, Shaodi You, Boxin Shi, Jose Alvarez, Coert Van Gemeren, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihuang Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang

CoRR, 2024

Automatic Graph Topology-Aware Transformer.

Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Fang Liu, Shuyuan Yang

CoRR, 2024

Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video Motion Editing.

Yi Zuo, Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Wenping Ma, Shuyuan Yang, Yuwei Guo

CoRR, 2024

Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification.

Yanbiao Ma, Licheng Jiao, Fang Liu, Lingling Li, Shuyuan Yang, Xu Liu

CoRR, 2024

Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds.

Yanbiao Ma, Licheng Jiao, Fang Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Xu Liu, Puhua Chen

CoRR, 2024

A match made in consistency heaven: when large language models meet evolutionary algorithms.

Wang Chao, Jiaxuan Zhao, Licheng Jiao, Lingling Li, Fang Liu, Shuyuan Yang

CoRR, 2024

Advanced Deep Learning Models for 6G: Overview, Opportunities, and Challenges.

Licheng Jiao, Yilin Shao, Long Sun, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Xu Liu, Biao Hou, Xiangrong Zhang, Ronghua Shang, Yangyang Li, Shuang Wang, Xu Tang, Yuwei Guo

IEEE Access, 2024

Domain Generalization-Aware Uncertainty Introspective Learning for 3D Point Clouds Segmentation.

Pei He, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Wenping Ma, Shuyuan Yang, Ronghua Shang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Time-Guided Network for Remote Sensing Change Detection.

Tingrui Zhang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Fang Liu, Cheng Zhu, Licheng Jiao

Proceedings of the IGARSS 2024, 2024

Spectral-Spatial Attentions and Deep Supervision for Change Detection in Remote Sensing Images.

Xia Zhang, Jia Liu, Wenhua Zhang, Fang Liu, Jingxiang Yang, Liang Xiao

Proceedings of the IGARSS 2024, 2024

Multi-Scale Co-Attention Learning For SAR Image Change Detection.

Dan Zhang, Xu Liu, Licheng Jiao, Fang Liu

Proceedings of the IGARSS 2024, 2024

Pseudo-Viewpoint Regularized 3D Gaussian Splatting For Remote Sensing Few-Shot Novel View Synthesis.

Yijing Wang, Xu Tang, Jingjing Ma, Xiangrong Zhang, Cheng Zhu, Fang Liu, Licheng Jiao

Proceedings of the IGARSS 2024, 2024

Multimodal Segformer for Flood Rapid Mapping with Sentinel-2 Data.

Xiaoqiang Lu, Tong Gou, Zhongjian Huang, Yuting Yang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu

Proceedings of the IGARSS 2024, 2024

Multiplane Prior Guided Few-Shot Aerial Scene Rendering.

Zihan Gao, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Yuwei Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization.

Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference.

Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Xinyan Huang, Shuo Li, Puhua Chen, Xu Liu

Pattern Recognit., November, 2023

Fast and Effective: A Novel Sequential Single-Path Search for Mixed-Precision-Quantized Networks.

Qigong Sun, Xiufang Li, Licheng Jiao, Yan Ren, Fanhua Shang, Fang Liu

IEEE Trans. Cybern., October, 2023

RDLNet: A Regularized Descriptor Learning Network.

Jun Zhang, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Hao Zhu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Deep Learning in Visual Tracking: A Review.

Licheng Jiao, Dan Wang, Yidong Bai, Puhua Chen, Fang Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Knowledge transduction for cross-domain few-shot learning.

Pengfang Li, Fang Liu, Licheng Jiao, Shuo Li, Lingling Li, Xu Liu, Xinyan Huang

Pattern Recognit., September, 2023

A multimodal hyper-fusion transformer for remote sensing image classification.

Mengru Ma, Wenping Ma, Licheng Jiao, Xu Liu, Lingling Li, Zhixi Feng, Fang Liu, Shuyuan Yang

Inf. Fusion, August, 2023

Multiscale Curvelet Scattering Network.

Jie Gao, Licheng Jiao, Fang Liu, Shuyuan Yang, Biao Hou, Xu Liu

IEEE Trans. Neural Networks Learn. Syst., July, 2023

Faster and Better: A Lightweight Transformer Network for Remote Sensing Scene Classification.

Xinyan Huang, Fang Liu, Yuanhao Cui, Puhua Chen, Lingling Li, Pengfang Li

Remote. Sens., July, 2023

Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark.

Haoran Wang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan

IEEE Trans. Neural Networks Learn. Syst., June, 2023

MinEnt: Minimum entropy for self-supervised representation learning.

Shuo Li, Fang Liu, Zehua Hao, Licheng Jiao, Xu Liu, Yuwei Guo

Pattern Recognit., June, 2023

Dual Wavelet Attention Networks for Image Classification.

Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Lingling Li, Puhua Chen, Xiufang Li, Zhongjian Huang

IEEE Trans. Circuits Syst. Video Technol., April, 2023

A Collaborative Learning Tracking Network for Remote Sensing Videos.

Xiaotong Li, Licheng Jiao, Hao Zhu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang, Rong Qu

IEEE Trans. Cybern., March, 2023

Multiscale Representation Learning for Image Classification: A Survey.

Licheng Jiao, Jie Gao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Artif. Intell., February, 2023

Graph Representation Learning Meets Computer Vision: A Survey.

Licheng Jiao, Jie Chen, Fang Liu, Shuyuan Yang, Chao You, Xu Liu, Lingling Li, Biao Hou

IEEE Trans. Artif. Intell., February, 2023

Transformer Based Conditional GAN for Multimodal Image Fusion.

Jun Zhang, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Multim., 2023

$D^{3}K$: Dynastic Data-Free Knowledge Distillation.

Xiufang Li, Qigong Sun, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Yi Zuo

IEEE Trans. Multim., 2023

A Universal Quaternion Hypergraph Network for Multimodal Video Question Answering.

Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu, Fang Liu

IEEE Trans. Multim., 2023

GeoFormer: A Geometric Representation Transformer for Change Detection.

Jiaxuan Zhao, Licheng Jiao, Chao Wang, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

Curvelet Adversarial Augmented Neural Network for SAR Image Classification.

Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li, Meijuan Yang, Jianlong Wang, Xu Liu

IEEE Trans. Geosci. Remote. Sens., 2023

A Spatial Hierarchical Reasoning Network for Remote Sensing Visual Question Answering.

Zixiao Zhang, Licheng Jiao, Lingling Li, Xu Liu, Puhua Chen, Fang Liu, Yuxuan Li, Zhicheng Guo

IEEE Trans. Geosci. Remote. Sens., 2023

Boundary-Aware Multiscale Learning Perception for Remote Sensing Image Segmentation.

Chao You, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Wenping Ma, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

An Explainable Spatial-Frequency Multiscale Transformer for Remote Sensing Scene Classification.

Yuting Yang, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

Multicue Contrastive Self-Supervised Learning for Change Detection in Remote Sensing.

Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Yake Zhang, Jianlong Wang

IEEE Trans. Geosci. Remote. Sens., 2023

CSLT: Contourlet-Based Siamese Learning Tracker for Dim and Small Targets in Satellite Videos.

Yinan Wu, Licheng Jiao, Fang Liu, Zhaoliang Pi, Xu Liu, Lingling Li, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image.

Jiahao Wang, Fang Liu, Hao Wang, Xu Liu, Licheng Jiao, Hua Yang, Lingling Li, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Cross-Domain Few-Shot Hyperspectral Image Classification With Class-Wise Attention.

Wenzhen Wang, Fang Liu, Jia Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

WNet: W-Shaped Hierarchical Network for Remote-Sensing Image Change Detection.

Xu Tang, Tianxiang Zhang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

Which Target to Focus on: Class-Perception for Semantic Segmentation of Remote Sensing.

Long Sun, Lingling Li, Yilin Shao, Licheng Jiao, Xu Liu, Puhua Chen, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2023

A Spatial-Spectral Bilinear Representation Fusion Network for Multimodal Classification.

Xue Song, Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2023

Multipretext-Task Prototypes Guided Dynamic Contrastive Learning Network for Few-Shot Remote Sensing Scene Classification.

Jingjing Ma, Weiquan Lin, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2023

Weak-to-Strong Consistency Learning for Semisupervised Image Segmentation.

Xiaoqiang Lu, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Zhixi Feng, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Multisource Joint Representation Learning Fusion Classification for Remote Sensing Images.

Xueli Geng, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Xiangrong Zhang

IEEE Trans. Geosci. Remote. Sens., 2023

Learning Salient Feature for Salient Object Detection Without Labels.

Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen

IEEE Trans. Cybern., 2023

DFAT: Dynamic Feature-Adaptive Tracking.

Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu

IEEE Trans. Circuits Syst. Video Technol., 2023

SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection.

Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Hua Yang, Xu Liu, Lingling Li, Puhua Chen

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

Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey.

Licheng Jiao, Xin Zhang, Xu Liu, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Yuwei Guo, Xu Tang, Biao Hou, Xiangrong Zhang, Jing Bai, Dou Quan, Junpeng Zhang

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

Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey.

Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng

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

Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey.

Licheng Jiao, Zhongjian Huang, Xiaoqiang Lu, Xu Liu, Yuting Yang, Jiaxuan Zhao, Jinyue Zhang, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Xiangrong Zhang, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng

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

Task context transformer and GCN for few-shot learning of cross-domain.

Pengfang Li, Fang Liu, Licheng Jiao, Lingling Li, Puhua Chen, Shuo Li

Neurocomputing, 2023

Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification.

Yuwei Guo, Wenhao Zhang, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu

CoRR, 2023

Data-Centric Long-Tailed Image Recognition.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

CoRR, 2023

Changes-Aware Transformer: Learning Generalized Changes Representation.

Dan Wang, Licheng Jiao, Jie Chen, Shuyuan Yang, Fang Liu

CoRR, 2023

Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids.

Xinyi Wang, Xuan Cui, Danxu Li, Fang Liu, Licheng Jiao

CoRR, 2023

Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search.

Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

CoRR, 2023

Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Edge-Guided Feature Dense Fusion Network for Remote Sensing Image Change Detection.

Hejun Luo, Jia Liu, Fang Liu, Wenhua Zhang, Jingxiang Yang, Liang Xiao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Trident Cooperation Network for Building Extraction and Height Estimation.

Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Strong Vision Transformer Adapter with Adaptive Thresholding for fine-Grained Building Classification.

Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention Mechanism.

Keming Liu, Fang Liu, Jia Liu, Liang Xiao, Xu Tang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Swin Resnetswin Transformers for Change Detection in Remote Sensing Images.

Xu Liu, Yu Liu, Licheng Jiao, Lingling Li, Fang Liu, Dan Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Domain-Specific and Domain-Common Feature Enhancement for Cross-Domain Few-Shot Hyperspectral Image Classification.

Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Spatial-Preserving and Edge-Orienting High-Resolution Network for Remote Sensing Change Detection.

Jiaqi An, Fang Liu, Jia Liu, Liang Xiao, Xu Tang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Delving into Semantic Scale Imbalance.

Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Robust Semantic Segmentation UNCV2023 Challenge Results.

Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification.

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DPFL-Nets: Deep Pyramid Feature Learning Networks for Multiscale Change Detection.

Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Meng Jian

IEEE Trans. Neural Networks Learn. Syst., 2022

New Generation Deep Learning for Video Object Detection: A Survey.

Licheng Jiao, Ruohan Zhang, Fang Liu, Shuyuan Yang, Biao Hou, Lingling Li, Xu Tang

IEEE Trans. Neural Networks Learn. Syst., 2022

Adaptive Contourlet Fusion Clustering for SAR Image Change Detection.

Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu

IEEE Trans. Image Process., 2022

Coarse-to-Fine Contrastive Self-Supervised Feature Learning for Land-Cover Classification in SAR Images With Limited Labeled Data.

Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Yake Zhang, Jianlong Wang

IEEE Trans. Image Process., 2022

MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors.

Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Xu Liu, Lingling Li

IEEE Trans. Image Process., 2022

Adaptive Dual-Path Collaborative Learning for PAN and MS Classification.

Hao Zhu, Kenan Sun, Licheng Jiao, Xiaotong Li, Fang Liu, Biao Hou, Shuang Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Sparse Feature Clustering Network for Unsupervised SAR Image Change Detection.

Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Wei Song, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2022

MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos.

Wenhua Zhang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2022

LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene Classification.

Wenhua Zhang, Licheng Jiao, Fang Liu, Jia Liu, Zhen Cui

IEEE Trans. Geosci. Remote. Sens., 2022

EMTCAL: Efficient Multiscale Transformer and Cross-Level Attention Learning for Remote Sensing Scene Classification.

Xu Tang, Mingteng Li, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao

IEEE Trans. Geosci. Remote. Sens., 2022

A Joint Siamese Attention-Aware Network for Vehicle Object Tracking in Satellite Videos.

Wei Song, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Shuyuan Yang, Biao Hou, Wenhua Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

A Hybrid Network With Structural Constraints for SAR Image Scene Classification.

Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Puhua Chen, Lingling Li, Jing Gu, Yuanhao Cui

IEEE Trans. Geosci. Remote. Sens., 2022

Very Low-Resolution Moving Vehicle Detection in Satellite Videos.

Zhaoliang Pi, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Biao Hou, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2022

Transfer Representation Learning Meets Multimodal Fusion Classification for Remote Sensing Images.

Mengru Ma, Wenping Ma, Licheng Jiao, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang, Biao Hou

IEEE Trans. Geosci. Remote. Sens., 2022

Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation.

Xiaoqiang Lu, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Zhixi Feng, Lingling Li, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Multitask Semantic Boundary Awareness Network for Remote Sensing Image Segmentation.

Aijin Li, Licheng Jiao, Hao Zhu, Lingling Li, Fang Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification.

Yuwei Guo, Licheng Jiao, Rong Qu, Zhuangzhuang Sun, Shuang Wang, Shuo Wang, Fang Liu

IEEE Trans. Geosci. Remote. Sens., 2022

A Multiscale Self-Attention Deep Clustering for Change Detection in SAR Images.

Huihui Dong, Wenping Ma, Licheng Jiao, Fang Liu, Lingling Li

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Shearlet Network for Change Detection in SAR Images.

Huihui Dong, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2022

Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification.

Yuanhao Cui, Fang Liu, Licheng Jiao, Yuwei Guo, Xuefeng Liang, Lingling Li, Shuyuan Yang, Xiaoxue Qian

IEEE Trans. Geosci. Remote. Sens., 2022

Automatic Graph Learning Convolutional Networks for Hyperspectral Image Classification.

Jie Chen, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2022

GAFnet: Group Attention Fusion Network for PAN and MS Image High-Resolution Classification.

Xu Liu, Lingling Li, Fang Liu, Biao Hou, Shuyuan Yang, Licheng Jiao

IEEE Trans. Cybern., 2022

Deep Multiview Union Learning Network for Multisource Image Classification.

Xu Liu, Licheng Jiao, Lingling Li, Lin Cheng, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Cybern., 2022

The New Generation Brain-Inspired Sparse Learning: A Comprehensive Survey.

Licheng Jiao, Yuting Yang, Fang Liu, Shuyuan Yang, Biao Hou

IEEE Trans. Artif. Intell., 2022

Homo-Heterogenous Transformer Learning Framework for RS Scene Classification.

Jingjing Ma, Mingteng Li, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification.

Yuanhao Cui, Fang Liu, Xu Liu, Lingling Li, Xiaoxue Qian

Remote. Sens., 2022

Entire Deformable ConvNets for semantic segmentation.

Bingqi Yu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Xu Tang

Knowl. Based Syst., 2022

Region NMS-based deep network for gigapixel level pedestrian detection with two-step cropping.

Lingling Li, Xiaohui Guo, Yan Wang, Jingjing Ma, Licheng Jiao, Fang Liu, Xu Liu

Neurocomputing, 2022

Augmentative contrastive learning for one-shot object detection.

Yaoyang Du, Fang Liu, Licheng Jiao, Zehua Hao, Shuo Li, Xu Liu, Jing Liu

Neurocomputing, 2022

Transformers Meet Visual Learning Understanding: A Comprehensive Review.

Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Zhixi Feng, Xu Tang

CoRR, 2022

Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos.

Qianyue Bao, Fang Liu, Yang Liu, Licheng Jiao, Xu Liu, Lingling Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Remote Sensing Image Change Detection Based on Deep Dictionary Learning.

Yuqun Yang, Xu Tang, Fang Liu, Jingjing Ma, Licheng Jiao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Dual-Fusion Semantic Segmentation Framework with Gan for SAR Images.

Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

PolSF: PolSAR Image Datasets on San Francisco.

Xu Liu, Licheng Jiao, Fang Liu, Dan Zhang, Xu Tang

Proceedings of the Intelligence Science IV, 2022

Deep Complex Convolutional Neural Networks for Remote Sensing Image Classification.

Lingling Li, Yukai Sun, Fuhai Ma, Jingjing Ma, Licheng Jiao, Fang Liu

Proceedings of the Intelligence Science IV, 2022

A Three-Stage Model Fusion Method for Out-of-Distribution Generalization.

Jiahao Wang, Hao Wang, Zhuojun Dong, Hua Yang, Yuting Yang, Qianyue Bao, Fang Liu, Licheng Jiao

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space.

Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao

Proceedings of the Computer Vision - ECCV 2022, 2022

Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection.

Shuo Li, Fang Liu, Licheng Jiao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

C-CNN: Contourlet Convolutional Neural Networks.

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang

IEEE Trans. Neural Networks Learn. Syst., 2021

IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection.

Haoran Wang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan

IEEE Trans. Image Process., 2021

Residual Spectral-Spatial Attention Network for Hyperspectral Image Classification.

Minghao Zhu, Licheng Jiao, Fang Liu, Shuyuan Yang, Jianing Wang

IEEE Trans. Geosci. Remote. Sens., 2021

Selective Adversarial Adaptation-Based Cross-Scene Change Detection Framework in Remote Sensing Images.

Meijuan Yang, Licheng Jiao, Biao Hou, Fang Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2021

Ridgelet-Nets With Speckle Reduction Regularization for SAR Image Scene Classification.

Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Yuwei Guo, Xu Liu, Yuanhao Cui

IEEE Trans. Geosci. Remote. Sens., 2021

Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges.

Yuanhao Cui, Fang Liu, Xiaojun Jing, Junsheng Mu

IEEE Netw., 2021

Deep associative learning for neural networks.

Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao

Neurocomputing, 2021

One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment.

Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu

CoRR, 2021

MWQ: Multiscale Wavelet Quantized Neural Networks.

Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang Liu

CoRR, 2021

Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization.

Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu

CoRR, 2021

Multisource Data Fusion for the Detection of Settlements Without Electricity.

Yanbiao Ma, Yuxin Li, Kexin Feng, Xueli Geng, Licheng Jiao, Fang Liu, Yuting Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

DO-UNet, DO-LinkNet: UNet, D-LinkNet with DO-Conv for the Detection of Settlements without Electricity Challenge.

Ruoxian Feng, Mengjiao Wang, Xuanming Zhang, Jun Zhang, Licheng Jiao, Xu Liu, Fang Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

MRTA: Multi-Resolution Training Algorithm for Multitemporal Semantic Change Detection.

Qianyue Bao, Yang Liu, Zixiao Zhang, Dafan Chen, Yuting Yang, Licheng Jiao, Fang Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

ViT-YOLO: Transformer-Based YOLO for Object Detection.

Zixiao Zhang, Xiaoqiang Lu, Guojin Cao, Yuting Yang, Licheng Jiao, Fang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

LUAI Challenge 2021 on Learning to Understand Aerial Images.

Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Online Active Extreme Learning Machine With Discrepancy Sampling for PolSAR Classification.

Lingling Li, Jie Zeng, Licheng Jiao, Pujiang Liang, Fang Liu, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2020

Multi-Feature Weighted Sparse Graph for SAR Image Analysis.

Jing Gu, Licheng Jiao, Fang Liu, Xiangrong Zhang, Xu Tang, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2020

Discriminative Sketch Topic Model With Structural Constraint for SAR Image Classification.

Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li, Meijuan Yang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network.

Jingjing Ma, Linlin Wu, Xu Tang, Fang Liu, Xiangrong Zhang, Licheng Jiao

Remote. Sens., 2020

A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification.

Lingling Li, Pujiang Liang, Jingjing Ma, Licheng Jiao, Xiaohui Guo, Fang Liu, Chen Sun

Remote. Sens., 2020

Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification.

Yuwei Guo, Zhuangzhuang Sun, Rong Qu, Licheng Jiao, Fang Liu, Xiangrong Zhang

Remote. Sens., 2020

Complex Contourlet-CNN for polarimetric SAR image classification.

Lingling Li, Liyuan Ma, Licheng Jiao, Fang Liu, Qigong Sun, Jin Zhao

Pattern Recognit., 2020

MultiResolution Attention Extractor for Small Object Detection.

Fan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu

CoRR, 2020

SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification.

Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao, Fang Liu

IEEE Access, 2020

A Two-Stage Evolutionary Fuzzy Clustering Framework for Noisy Image Segmentation.

Licheng Jiao, Mengxuan Zhang, Fang Liu, Wenping Ma, Lingling Li

IEEE Access, 2020

Deep Auxiliary Learning for Point Cloud Generation.

Fei Hu, Long Ye, Wei Zhong, Fang Liu, Qin Zhang

IEEE Access, 2020

Multi-Resolution Prediction Model Based on Community Relevance for Missing Links Prediction.

Jingyi Ding, Jian Song, Licheng Jiao, Jianshe Wu, Fang Liu

IEEE Access, 2020

AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation.

Gege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Weakly Supervised Land Cover Classification Method For Large-Scale Multi-Resolution Labeled Satellite Images Data Sets.

Shuting Yin, Dafan Chen, Chengconghui Ma, Yanchao Lian, Licheng Jiao, Fang Liu

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

Remote Sensing Images Feature Learning based On Multi-Branch Networks.

Chao Liu, Xu Tang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Junyong Ma, Licheng Jiao

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

Feature Correlation Analysis of Two-Branch Convolutional Networks for Multi-Source Image Classification.

Xu Liu, Licheng Jiao, Fang Liu, Xin Hou, Dan Zhang

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

Deep Adaptive Proposal Network in Optical Remote Sensing Images Objective Detection.

Lingling Li, Lin Cheng, Xiaohui Guo, Xu Liu, Licheng Jiao, Fang Liu

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

A Dual Residual Network with Channel Attention for Image Restoration.

Shichao Nie, Chengconghui Ma, Dafan Chen, Shuting Yin, Haoran Wang, Licheng Jiao, Fang Liu

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

A Novel Neural Network for Remote Sensing Image Matching.

Hao Zhu, Licheng Jiao, Wenping Ma, Fang Liu, Wei Zhao

IEEE Trans. Neural Networks Learn. Syst., 2019

Transferred Deep Learning-Based Change Detection in Remote Sensing Images.

Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2019

A Pareto-Based Sparse Subspace Learning Framework.

Juanjuan Luo, Licheng Jiao, Fang Liu, Shuyuan Yang, Wenping Ma

IEEE Trans. Cybern., 2019

Video reconstruction based on Intrinsic Tensor Sparsity model.

Wan Li, Fang Liu, Licheng Jiao, Fei Hu, Shuyuan Yang

Signal Process. Image Commun., 2019

Large-Scale Remote Sensing Image Retrieval Based on Semi-Supervised Adversarial Hashing.

Xu Tang, Chao Liu, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao

Remote. Sens., 2019

Semi-Coupled Convolutional Sparse Learning for Image Super-Resolution.

Lingling Li, Sibo Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Tang

Remote. Sens., 2019

Fast unsupervised deep fusion network for change detection of multitemporal SAR images.

Huan Chen, Licheng Jiao, Miaomiao Liang, Fang Liu, Shuyuan Yang, Biao Hou

Neurocomputing, 2019

PolSF: PolSAR image dataset on San Francisco.

Xu Liu, Licheng Jiao, Fang Liu

CoRR, 2019

Adaptive sparse graph learning based dimensionality reduction for classification.

Puhua Chen, Licheng Jiao, Fang Liu, Zhiqiang Zhao, Jiaqi Zhao

Appl. Soft Comput., 2019

Fast DDL Classification for SAR Images With l_{1, ∞} Constraint.

Ye Wei, Licheng Jiao, Fang Liu, Shuyuan Yang, Qian Wu, Gustaph Sanga

IEEE Access, 2019

High-Resolution SAR Change Detection Based on ROI and SPP Net.

Lingling Li, Zhengyan Yang, Licheng Jiao, Fang Liu, Xu Liu

IEEE Access, 2019

Multi-Scale Residual Reconstruction Neural Network With Non-Local Constraint.

Wan Li, Fang Liu, Licheng Jiao, Fei Hu

IEEE Access, 2019

A Survey of Deep Learning-Based Object Detection.

Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu

IEEE Access, 2019

Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification.

Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao

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

Pixel Dag-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification.

Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao

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

Polsar Image Classification Based on Polarimetric Scattering Coding and Sparse Support Matrix Machine.

Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu

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

A Stepwise Method for Change Detection in Large-Scale Polarimetric SAR Images.

Fang Liu, Xu Tang

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

2018

A Hybrid Method of SAR Speckle Reduction Based on Geometric-Structural Block and Adaptive Neighborhood.

Fang Liu, Jie Wu, Lingling Li, Licheng Jiao, Hongxia Hao, Xiangrong Zhang

IEEE Trans. Geosci. Remote. Sens., 2018

Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery.

Xu Liu, Licheng Jiao, Jiaqi Zhao, Jin Zhao, Dan Zhang, Fang Liu, Shuyuan Yang, Xu Tang

IEEE Trans. Geosci. Remote. Sens., 2018

Adaptive Hierarchical Multinomial Latent Model With Hybrid Kernel Function for SAR Image Semantic Segmentation.

Yiping Duan, Fang Liu, Licheng Jiao, Xiaoming Tao, Jie Wu, Cheng Shi, Martin O. Wimmers

IEEE Trans. Geosci. Remote. Sens., 2018

Fuzzy Superpixels for Polarimetric SAR Images Classification.

Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Wenqiang Hua

IEEE Trans. Fuzzy Syst., 2018

Fuzzy Double C-Means Clustering Based on Sparse Self-Representation.

Jing Gu, Licheng Jiao, Shuyuan Yang, Fang Liu

IEEE Trans. Fuzzy Syst., 2018

Global Low-Rank Image Restoration With Gaussian Mixture Model.

Sibo Zhang, Licheng Jiao, Fang Liu, Shuang Wang

IEEE Trans. Cybern., 2018

The Overcomplete Dictionary-Based Directional Estimation Model and Nonconvex Reconstruction Methods.

Leping Lin, Fang Liu, Licheng Jiao, Shuyuan Yang, Hongxia Hao

IEEE Trans. Cybern., 2018

Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition.

Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu

IEEE Trans. Cybern., 2018

Deep Multiscale Spectral-Spatial Feature Fusion for Hyperspectral Images Classification.

Miaomiao Liang, Licheng Jiao, Shuyuan Yang, Fang Liu, Biao Hou, Huan Chen

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

Unsupervised Deep Feature Learning for Remote Sensing Image Retrieval.

Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao

Remote. Sens., 2018

A modified convolutional neural network for face sketch synthesis.

Licheng Jiao, Sibo Zhang, Lingling Li, Fang Liu, Wenping Ma

Pattern Recognit., 2018

Random subspace based ensemble sparse representation.

Jing Gu, Licheng Jiao, Fang Liu, Shuyuan Yang, Rongfang Wang, Puhua Chen, Yuanhao Cui, Junhu Xie, Yake Zhang

Pattern Recognit., 2018

3D fast convex-hull-based evolutionary multiobjective optimization algorithm.

Jiaqi Zhao, Licheng Jiao, Fang Liu, Vitor Basto-Fernandes, Iryna Yevseyeva, Shixiong Xia, Michael T. M. Emmerich

Appl. Soft Comput., 2018

Coupled Tensor Decomposition for Hyperspectral Pansharpening.

Hong Li, Weibin Li, Gaining Han, Fang Liu

IEEE Access, 2018

Circular Relevance Feedback for Remote Sensing Image Retrieval.

Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Two-Stage Reranking for Remote Sensing Image Retrieval.

Xu Tang, Licheng Jiao, William J. Emery, Fang Liu, Dan Zhang

IEEE Trans. Geosci. Remote. Sens., 2017

A Novel Image Representation Framework Based on Gaussian Model and Evolutionary Optimization.

Licheng Jiao, Sibo Zhang, Lingling Li, Shuyuan Yang, Fang Liu, Hongxia Hao, Hang Dong

IEEE Trans. Evol. Comput., 2017

POLSAR Image Classification via Wishart-AE Model or Wishart-CAE Model.

Wen Xie, Licheng Jiao, Biao Hou, Wenping Ma, Jin Zhao, Shuyin Zhang, Fang Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Dimensionality Reduction of Hyperspectral Imagery Using Sparse Graph Learning.

Puhua Chen, Licheng Jiao, Fang Liu, Shuiping Gou, Jiaqi Zhao, Zhiqiang Zhao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

SAR Image segmentation based on convolutional-wavelet neural network and markov random field.

Yiping Duan, Fang Liu, Licheng Jiao, Peng Zhao, Lu Zhang

Pattern Recognit., 2017

Semi-supervised double sparse graphs based discriminant analysis for dimensionality reduction.

Puhua Chen, Licheng Jiao, Fang Liu, Jiaqi Zhao, Zhiqiang Zhao, Shuai Liu

Pattern Recognit., 2017

Mixed second order partial derivatives decomposition method for large scale optimization.

Lin Li, Licheng Jiao, Rustam Stolkin, Fang Liu

Appl. Soft Comput., 2017

2016

Semisupervised Discriminant Feature Learning for SAR Image Category via Sparse Ensemble.

Zhiqiang Zhao, Licheng Jiao, Fang Liu, Jiaqi Zhao, Puhua Chen

IEEE Trans. Geosci. Remote. Sens., 2016

CRIM-FCHO: SAR Image Two-Stage Segmentation With Multifeature Ensemble.

Hang Yu, Licheng Jiao, Fang Liu

IEEE Trans. Geosci. Remote. Sens., 2016

SAR Image Segmentation Based on Hierarchical Visual Semantic and Adaptive Neighborhood Multinomial Latent Model.

Fang Liu, Yiping Duan, Lingling Li, Licheng Jiao, Jie Wu, Shuyuan Yang, Xiangrong Zhang, Jialing Yuan

IEEE Trans. Geosci. Remote. Sens., 2016

A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables.

Xiaoliang Ma, Fang Liu, Yutao Qi, Xiaodong Wang, Lingling Li, Licheng Jiao, Minglei Yin, Maoguo Gong

IEEE Trans. Evol. Comput., 2016

Adaptive Nonlocal Spatial-Spectral Kernel for Hyperspectral Imagery Classification.

Jianing Wang, Licheng Jiao, Shuang Wang, Biao Hou, Fang Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Refined Pan-Sharpening With NSCT and Hierarchical Sparse Autoencoder.

Hong Li, Fang Liu, Shuyuan Yang, Kai Zhang, Xiaomeng Su, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

A Multi-kernel Joint Sparse Graph for SAR Image Segmentation.

Jing Gu, Licheng Jiao, Shuyuan Yang, Fang Liu, Biao Hou, Zhiqiang Zhao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Geometric structure guided collaborative compressed sensing.

Leping Lin, Fang Liu, Licheng Jiao

Signal Process. Image Commun., 2016

A group matching pursuit for image reconstruction.

Wan Li, Fang Liu, Licheng Jiao, Hongxia Hao, Shuyuan Yang

Signal Process. Image Commun., 2016

MOEA/D with biased weight adjustment inspired by user preference and its application on multi-objective reservoir flood control problem.

Xiaoliang Ma, Fang Liu, Yutao Qi, Lingling Li, Licheng Jiao, Xiaozheng Deng, Xiaodong Wang, Bei Dong, Zhanting Hou, Yongxiao Zhang, Jianshe Wu

Soft Comput., 2016

Learning simultaneous adaptive clustering and classification via MOEA.

Juanjuan Luo, Licheng Jiao, Ronghua Shang, Fang Liu

Pattern Recognit., 2016

Hierarchical semantic model and scattering mechanism based PolSAR image classification.

Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan

Pattern Recognit., 2016

Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images.

Jie Feng, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang

Pattern Recognit., 2016

A Nonlocal Means for Speckle Reduction of SAR Image With Multiscale-Fusion-Based Steerable Kernel Function.

Jie Wu, Fang Liu, Hongxia Hao, Lingling Li, Licheng Jiao, Xiangrong Zhang

IEEE Geosci. Remote. Sens. Lett., 2016

Detecting Cars in VHR SAR Images via Semantic CFAR Algorithm.

Yong Huang, Fang Liu

IEEE Geosci. Remote. Sens. Lett., 2016

Sketching Model and Higher Order Neighborhood Markov Random Field-Based SAR Image Segmentation.

Yiping Duan, Fang Liu, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2016

Prediction of missing links based on community relevance and ruler inference.

Jingyi Ding, Licheng Jiao, Jianshe Wu, Fang Liu

Knowl. Based Syst., 2016

2015

Learning Interpolation via Regional Map for Pan-Sharpening.

Cheng Shi, Fang Liu, Lingling Li, Licheng Jiao, Yiping Duan, Shuang Wang

IEEE Trans. Geosci. Remote. Sens., 2015

Mutual-Information-Based Semi-Supervised Hyperspectral Band Selection With High Discrimination, High Information, and Low Redundancy.

Jie Feng, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang

IEEE Trans. Geosci. Remote. Sens., 2015

Nonconvex Compressed Sensing by Nature-Inspired Optimization Algorithms.

Fang Liu, Leping Lin, Licheng Jiao, Lingling Li, Shuyuan Yang, Biao Hou, Hongmei Ma, Li Yang, Jinghuan Xu

IEEE Trans. Cybern., 2015

Hyperspectral Image Classification by Spatial-Spectral Derivative-Aided Kernel Joint Sparse Representation.

Jianing Wang, Licheng Jiao, Hongying Liu, Shuyuan Yang, Fang Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Semisupervised Affinity Propagation Based on Normalized Trivariable Mutual Information for Hyperspectral Band Selection.

Licheng Jiao, Jie Feng, Fang Liu, Tao Sun, Xiangrong Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

A new patch based change detector for polarimetric SAR data.

Ganchao Liu, Licheng Jiao, Fang Liu, Hua Zhong, Shuang Wang

Pattern Recognit., 2015

A novel dynamic rough subspace based selective ensemble.

Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Kaixuan Rong, Tao Xiong

Pattern Recognit., 2015

Pan-sharpening via regional division and NSST.

Cheng Shi, Fang Liu, Qiguang Miao

Multim. Tools Appl., 2015

Imbalanced Hyperspectral Image Classification Based on Maximum Margin.

Tao Sun, Licheng Jiao, Jie Feng, Fang Liu, Xiangrong Zhang

IEEE Geosci. Remote. Sens. Lett., 2015

A cooperative belief rule based decision support system for lymph node metastasis diagnosis in gastric cancer.

Zhiguo Zhou, Fang Liu, Lingling Li, Licheng Jiao, Zhi-Jie Zhou, Jian-Bo Yang, Zhi-Long Wang

Knowl. Based Syst., 2015

Coupled compressed sensing inspired sparse spatial-spectral LSSVM for hyperspectral image classification.

Lixia Yang, Shuyuan Yang, Sujing Li, Rui Zhang, Fang Liu, Licheng Jiao

Knowl. Based Syst., 2015

Learning compressive sampling via multiscale and steerable support value transform.

Shuyuan Yang, Min Wang, Li Jin, Shigang Wang, Fang Liu, Licheng Jiao

Knowl. Based Syst., 2015

Joint sparse regularization based Sparse Semi-Supervised Extreme Learning Machine (S3ELM) for classification.

Xiao-Zhuo Luo, Fang Liu, Shuyuan Yang, Xiaodong Wang, Zhiguo Zhou

Knowl. Based Syst., 2015

A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space.

Handing Wang, Licheng Jiao, Ronghua Shang, Shan He, Fang Liu

Evol. Comput., 2015

Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification.

Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan

CoRR, 2015

2014

Local Maximal Homogeneous Region Search for SAR Speckle Reduction With Sketch-Based Geometrical Kernel Function.

Jie Wu, Fang Liu, Licheng Jiao, Xiangrong Zhang, Hongxia Hao, Shuang Wang

IEEE Trans. Geosci. Remote. Sens., 2014

Pansharpening Based on Low-Rank and Sparse Decomposition.

Kaixuan Rong, Licheng Jiao, Shuang Wang, Fang Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

MOEA/D with uniform decomposition measurement for many-objective problems.

Xiaoliang Ma, Yutao Qi, Lingling Li, Fang Liu, Licheng Jiao, Jianshe Wu

Soft Comput., 2014

Compressed sensing by collaborative reconstruction on overcomplete dictionary.

Leping Lin, Fang Liu, Licheng Jiao

Signal Process., 2014

A compressed sensing approach for efficient ensemble learning.

Lin Li, Rustam Stolkin, Licheng Jiao, Fang Liu, Shuang Wang

Pattern Recognit., 2014

Incomplete variables truncated conjugate gradient method for signal reconstruction in compressed sensing.

Xiaodong Wang, Fang Liu, Licheng Jiao, Jiao Wu, Jianrui Chen

Inf. Sci., 2014

MOEA/D with Baldwinian learning inspired by the regularity property of continuous multiobjective problem.

Xiaoliang Ma, Fang Liu, Yutao Qi, Lingling Li, Licheng Jiao, Meiyun Liu, Jianshe Wu

Neurocomputing, 2014

MOEA/D with opposition-based learning for multiobjective optimization problem.

Xiaoliang Ma, Fang Liu, Yutao Qi, Maoguo Gong, Minglei Yin, Lingling Li, Licheng Jiao, Jianshe Wu

Neurocomputing, 2014

MOEA/D with Adaptive Weight Adjustment.

Yutao Qi, Xiaoliang Ma, Fang Liu, Licheng Jiao, Jianyong Sun, Jianshe Wu

Evol. Comput., 2014

A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems.

Licheng Jiao, Juanjuan Luo, Ronghua Shang, Fang Liu

Appl. Soft Comput., 2014

MOEA/D with a delaunay triangulation based weight adjustment.

Yutao Qi, Xiaoliang Ma, Minglei Yin, Fang Liu, Jingxuan Wei

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

A Novel Immune Optimization Algorithm for Fairness Resource Allocation in Cognitive Wireless Network.

Zheng-Yi Chai, Fang Liu, Yutao Qi, Jian-She Wu

Wirel. Pers. Commun., 2013

Immune optimization algorithm for solving vertical handoff decision problem in heterogeneous wireless network.

Fang Liu, Si-Feng Zhu, Zheng-Yi Chai, Yutao Qi, Jian-She Wu

Wirel. Networks, 2013

Multivariate pursuit image reconstruction using prior information beyond sparsity.

Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang

Signal Process., 2013

Selective multiple kernel learning for classification with ensemble strategy.

Tao Sun, Licheng Jiao, Fang Liu, Shuang Wang, Jie Feng

Pattern Recognit., 2013

An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion.

Yuanyuan Liu, Licheng Jiao, Fanhua Shang, Fei Yin, Fang Liu

Neural Networks, 2013

An evidential reasoning based model for diagnosis of lymph node metastasis in gastric cancer.

Zhiguo Zhou, Fang Liu, Licheng Jiao, Zhi-Long Wang, Xiao-Peng Zhang, Xiao-Dong Wang, Xiao-Zhuo Luo

BMC Medical Informatics Decis. Mak., 2013

A bi-level belief rule based decision support system for diagnosis of lymph node metastasis in gastric cancer.

Zhiguo Zhou, Fang Liu, Licheng Jiao, Zhi-Jie Zhou, Jian-Bo Yang, Maoguo Gong, Xiao-Peng Zhang

Knowl. Based Syst., 2013

A co-evolutionary multi-objective optimization algorithm based on direction vectors.

Licheng Jiao, Handing Wang, Ronghua Shang, Fang Liu

Inf. Sci., 2013

A novel selection evolutionary strategy for constrained optimization.

Licheng Jiao, Lin Li, Ronghua Shang, Fang Liu, Rustam Stolkin

Inf. Sci., 2013

On the use of immune clonal optimization for joint subcarrier and power allocation in OFDMA with proportional fairness rate.

Zheng-Yi Chai, Fang Liu, Yutao Qi, Si-Feng Zhu

Int. J. Commun. Syst., 2013

Hybrid Multilevel Sparse Reconstruction for a Whole Domain Bioluminescence Tomography Using Adaptive Finite Element.

Jingjing Yu, Xiaowei He, Guohua Geng, Fang Liu, Licheng Jiao

Comput. Math. Methods Medicine, 2013

Object information based interactive segmentation for fatty tissue extraction.

Zhiguo Zhou, Fang Liu, Licheng Jiao, Lingling Li, Xiao-Dong Wang, Shuiping Gou, Shuang Wang

Comput. Biol. Medicine, 2013

2012

A Novel Immune Clonal Algorithm for MO Problems.

Ronghua Shang, Licheng Jiao, Fang Liu, Wenping Ma

IEEE Trans. Evol. Comput., 2012

An evidential reasoning based classification algorithm and its application for face recognition with class noise.

Xiaodong Wang, Fang Liu, Licheng Jiao, Zhiguo Zhou, Jingjing Yu, Bing Li, Jianrui Chen, Jiao Wu, Fanhua Shang

Pattern Recognit., 2012

Immune optimization algorithm for solving joint call admission control problem in next-generation wireless network.

Si-Feng Zhu, Fang Liu, Yutao Qi, Zheng-Yi Chai, Jian-She Wu

Eng. Appl. Artif. Intell., 2012

Multi-objective immune algorithm with Baldwinian learning.

Yutao Qi, Fang Liu, Meiyun Liu, Maoguo Gong, Licheng Jiao

Appl. Soft Comput., 2012

2011

Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using Scale Mixture Models.

Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang, Biao Hou

IEEE Trans. Image Process., 2011

Compressive Sensing SAR Image Reconstruction Based on Bayesian Framework and Evolutionary Computation.

Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang

IEEE Trans. Image Process., 2011

An improved multi-agent genetic algorithm for numerical optimization.

Xiaoying Pan, Licheng Jiao, Fang Liu

Nat. Comput., 2011

Artificial immune multi-objective SAR image segmentation with fused complementary features.

Dongdong Yang, Licheng Jiao, Maoguo Gong, Fang Liu

Inf. Sci., 2011

A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography.

Jingjing Yu, Fang Liu, Licheng Jiao, Shuyuan Yang, Xiaowei He

Int. J. Biomed. Imaging, 2011

Interactive MOEA/D for multi-objective decision making.

Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Fast Source Reconstruction for Bioluminescence Tomography Based on Sparse Regularization.

Jingjing Yu, Fang Liu, Jiao Wu, Licheng Jiao, Xiaowei He

IEEE Trans. Biomed. Eng., 2010

SAR Image Despeckling Using Edge Detection and Feature Clustering in Bandelet Domain.

Wenge Zhang, Fang Liu, Licheng Jiao, Biao Hou, Shuang Wang, Ronghua Shang

IEEE Geosci. Remote. Sens. Lett., 2010

Multicontourlet-Based Adaptive Fusion of Infrared and Visible Remote Sensing Images.

Xia Chang, Licheng Jiao, Fang Liu, Fangfang Xin

IEEE Geosci. Remote. Sens. Lett., 2010

Immune algorithm with orthogonal design based initialization, cloning, and selection for global optimization.

Maoguo Gong, Licheng Jiao, Fang Liu, Wenping Ma

Knowl. Inf. Syst., 2010

Lamarckian Learning in Clonal Selection Algorithm for Numerical Optimization.

Maoguo Gong, Licheng Jiao, Jie Yang, Fang Liu

Int. J. Artif. Intell. Tools, 2010

Memetic computation based on regulation between neural and immune systems: the framework and a case study.

Maoguo Gong, Licheng Jiao, Fang Liu, Jie Yang

Sci. China Inf. Sci., 2010

A sphere-dominance based preference immune-inspired algorithm for dynamic multi-objective optimization.

Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu, Jingjing Ma

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A multiobjective immune clustering ensemble technique applied to unsupervised SAR image segmentation.

Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu

Proceedings of the 9th ACM International Conference on Image and Video Retrieval, 2010

Optimizing detector distribution in V-detector negative selection using a constrained multiobjective immune algorithm.

Fang Liu, Maoguo Gong, Jingjing Ma, Licheng Jiao, Wei Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A hybrid multiobjective immune algorithm with region preference for decision makers.

Licheng Jiao, Wei Zhang, Ruochen Liu, Fang Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Discrete differential evolution algorithm for the job shop scheduling problem.

Fang Liu, Yutao Qi, Zhuchang Xia, Hongxia Hao

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

A Parallel Artificial Immune Model for Optimization.

Yutao Qi, Fang Liu, Licheng Jiao

Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2008

Spectral Clustering Ensemble Applied to SAR Image Segmentation.

Xiangrong Zhang, Licheng Jiao, Fang Liu, Liefeng Bo, Maoguo Gong

IEEE Trans. Geosci. Remote. Sens., 2008

2007

Pheromone Based Dynamic Vaccination for Immune Algorithms.

Yutao Qi, Fang Liu, Licheng Jiao

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2006

A Strategy of Mutation History Learning in Immune Clonal Selection Algorithm.

Yutao Qi, Xiaoying Pan, Fang Liu, Licheng Jiao

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

A Dynamic Clonal Selection Algorithm for Project Optimization Scheduling.

Xiaoying Pan, Fang Liu, Licheng Jiao

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

An Immune Clonal Selection Scheduling Algorithm for Input-Queued Switches.

Fang Liu, Jing Zhao

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

A Method of Reducing Speckle Noise of SAR Images Based on Wavelets and Wedgelet HMT Models.

Hai-yan Jin, Licheng Jiao, Fang Liu

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Multi-Agent Immune Clonal Selection Algorithm Based Multicast Routing.

Fang Liu, Yuan Liu, Xi Chen, Jin-shi Wang

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

A Novel Immune Clonal Algorithm.

Yangyang Li, Fang Liu

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

A Polyclonal Selection Clustering for Packet Classification.

Fang Liu, Liqi Wei

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Intrusion Detection Based on Clustering Organizational Co-Evolutionary Classification.

Fang Liu, Yun Tian

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

2005

Intrusion Detection Based on ART and Artificial Immune Network Clustering.

Fang Liu, Lin Bai, Licheng Jiao

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Image Enhancement via Fusion Based on Laplacian Pyramid Directional Filter Banks.

Hai-yan Jin, Xiaohui Yang, Licheng Jiao, Fang Liu

Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

The Quaternion Model of Artificial Immune Response.

Maoguo Gong, Licheng Jiao, Fang Liu, Haifeng Du

Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

Immune Clonal Selection Wavelet Network Based Intrusion Detection.

Fang Liu, Lan Luo

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Directional self-learning of genetic algorithm.

Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Unsupervised Anomaly Detection Based on an Evolutionary Artificial Immune Network.

Fang Liu, Leping Lin

Proceedings of the Applications of Evolutionary Computing, 2005

An Novel Artificial Immune Systems Multi-objective Optimization Algorithm for 0/1 Knapsack Problems.

Wenping Ma, Licheng Jiao, Maoguo Gong, Fang Liu

Proceedings of the Computational Intelligence and Security, International Conference, 2005

Key Frame Extraction Based on Evolutionary Artificial Immune Network.

Fang Liu, Xiaoying Pan

Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004

Multiobjective Optimization Based on Coevolutionary Algorithm.

Jing Liu, Weicai Zhong, Licheng Jiao, Fang Liu

Proceedings of the Rough Sets and Current Trends in Computing, 2004

A New Data Mining Method Using Organizational Coevolutionary Mechanism.

Jing Liu, Weicai Zhong, Fang Liu, Licheng Jiao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Performance Analysis of Recurrent Neural Networks Based Blind Adaptive Multiuser Detection in Asynchronous DS-CDMA Systems.

Ling Wang, Haihong Tao, Licheng Jiao, Fang Liu

Proceedings of the Advances in Neural Networks, 2004

Space-Time Multiuser Detection Combined with Adaptive Wavelet Networks over Multipath Channels.

Ling Wang, Licheng Jiao, Haihong Tao, Fang Liu

Proceedings of the Advances in Neural Networks, 2004

Intrusion Detection Based on Immune Clonal Selection Algorithms.

Fang Liu, Qu Bo, Chen Rongsheng

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004