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Fang Liu 0001
Person information
- affiliation: Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
Other persons with the same name
- Fang Liu — disambiguation page
- Fang Liu 0002 — HuNan University, School of Design, Changsha, China (and 2 more)
- Fang Liu 0003 — Anhui University, College of Electrical Engineering and Automation, Hefei, China (and 1 more)
- Fang Liu 0004 — Shenyang Ligong University, School of Information Science and Engineering, China
- Fang Liu 0005 — University of Wisconsin at Madison, Department of Radiology, WI, USA
- Fang Liu 0006 — University of Notre Dame, Department of Applied and Computational Mathematics and Statistics, IN, USA
- Fang Liu 0007 — National Library of Medicine, Bethesda, MD, USA
- Fang Liu 0008 — Nanyang Technological University, Nanyang Business School, Singapore (and 1 more)
- Fang Liu 0009 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Fang Liu 0010 — Zhejiang University, Institute of Microelectronics and Optoelectronics, China
- Fang Liu 0011 — Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China (and 1 more)
- Fang Liu 0012 — Tianjin University, School of Electrical and Information Engineering, Key Laboratory of Smart Grid of MoE, China
- Fang Liu 0013 — Zhejiang University of Finance and Economics, School of Accounting, Hangzhou, China
- Fang Liu 0014 — Central South University, School of Automation, Changsha, China
- Fang Liu 0015 — Shenyang Ligong University, College of Science, Shenyang, China
- Fang Liu 0016 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Fang Liu 0017 — Guangxi University, School of Mathematics and Information Science, Nanning, China (and 1 more)
- Fang Liu 0018 — University of Reading, School of Psychology and Clinical Language Sciences, Reading, UK (and 2 more)
- Fang Liu 0019 — Microsoft, Redmond, WA, USA (and 1 more)
- Fang Liu 0020 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Fang Liu 0021 — Changsha University of Science and Technology, School of Transportation Engineering, Changsha, China (and 1 more)
- Fang Liu 0022 — Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
- Fang Liu 0023 — Huanghuai University, School of Information Engineering, Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots, Zhumadian, China (and 1 more)
- Fang Liu 0024 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Fang Liu 0025 — University of Texas - Pan American, Department of Computer Science, Edinburg, TX, USA (and 1 more)
- Fang Liu 0026 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Fang Liu 0027 — Massachusetts Institute of Technology, Media Laboratory, Cambridge, MA, USA
- Fang (Cherry) Liu (aka: Fang Liu 0028) — Georgia Institute of Technology, Partnership for An Advanced Computing Environment, Atlanta, GA, USA (and 2 more)
- Fang Liu 0029 — Duke University, Department of Electrical & Computer Engineering, Durham, NC, USA
- Fang Liu 0030 — Guangdong University of Finance and Economics, School of Internet Finance and Information Engineering, Guangzhou, China (and 1 more)
- Fang Liu 0031 — Wuhan University, School of Computer Science, China (and 1 more)
- Fang Liu 0032 — Peking University, Key Lab of High Confidence Software Technology, School of Computer Science, Beijing, China
- Fang Liu 0033 — Dalian University of Technology, School of Computer Science and Technology, China
- Fang Liu 0034 — Nanjing University of Science and Technology, China (and 1 more)
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2020 – today
- 2024
- [j235]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:
Advanced Deep Learning Models for 6G: Overview, Opportunities, and Challenges. IEEE Access 12: 133245-133314 (2024) - [j234]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:
AI meets physics: a comprehensive survey. Artif. Intell. Rev. 57(9): 256 (2024) - [j233]Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen:
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification. Int. J. Comput. Vis. 132(7): 2493-2510 (2024) - [j232]Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu:
Multi-modal visual tracking based on textual generation. Inf. Fusion 112: 102531 (2024) - [j231]Dan Wang, Licheng Jiao, Ruohan Zhang, Shuyuan Yang, Fang Liu:
Token singularity understanding and removal for transformers. Knowl. Based Syst. 293: 111718 (2024) - [j230]Lingling Li, Qiong Liu, Guojin Cao, Licheng Jiao, Fang Liu, Xu Liu, Puhua Chen:
Multidirectional Attention Fusion Network for SAR Change Detection. Remote. Sens. 16(19): 3590 (2024) - [j229]Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Yuwei Guo, Puhua Chen:
$C^{2}N^{2}$: Complex-Valued Contourlet Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4478-4491 (2024) - [j228]Puhua Chen, Yu Qiu, Lei Guo, Xiangrong Zhang, Fang Liu, Licheng Jiao, Lingling Li:
Cross-Scene Classification of Remote Sensing Images Based on General-Specific Prototype Contrastive Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 7986-8002 (2024) - [j227]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:
Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11194-11207 (2024) - [j226]Puhua Chen, Lu Wang, Lei Guo, Xu Liu, Xiangrong Zhang, Licheng Jiao, Fang Liu:
Satellite Videos Object Tracking Based on Enhanced Correlation Filter With Motion Prediction Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12123-12137 (2024) - [j225]Huihui Dong, Wenping Ma, Licheng Jiao, Fang Liu, Xu Liu, Hao Zhu:
Contrastive Learning With Context-Augmented Transformer for Change Detection in SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17710-17724 (2024) - [j224]Jing Gu, Xinkai Sun, Jie Feng, Shuyuan Yang, Fang Liu, Licheng Jiao:
Multiple Resolutions Detail Enhancement Network for Real-Time Image Semantic Segmentation. IEEE Trans. Artif. Intell. 5(7): 3393-3407 (2024) - [j223]Mengru Ma, Wenping Ma, Licheng Jiao, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang:
MBSI-Net: Multimodal Balanced Self-Learning Interaction Network for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3819-3833 (2024) - [j222]Xiaoqiang Lu, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang:
Self Pseudo Entropy Knowledge Distillation for Semi-Supervised Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7359-7372 (2024) - [j221]Yinan Wu, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Lingling Li:
Domain Adaptation-Aware Transformer for Hyperspectral Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8041-8052 (2024) - [j220]Yuting Yang, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Xiangrong Zhang:
Efficient LWPooling: Rethinking the Wavelet Pooling for Scene Parsing. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8481-8493 (2024) - [j219]Jiaxuan Zhao, Licheng Jiao, Chao Wang, Xu Liu, Fang Liu, Lingling Li, Mengru Ma, Shuyuan Yang:
Knowledge Guided Evolutionary Transformer for Remote Sensing Scene Classification. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10368-10384 (2024) - [j218]Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Long Sun, Shuo Li, Lingling Li, Xu Liu:
Multi-Grained Gradual Inference Model for Multimedia Event Extraction. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10507-10520 (2024) - [j217]Ruohan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang:
Evolutionary Dual-Stream Transformer. IEEE Trans. Cybern. 54(4): 2166-2178 (2024) - [j216]Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang:
Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search. IEEE Trans. Evol. Comput. 28(1): 208-222 (2024) - [j215]Ruohan Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang:
A Quantum Evolutionary Learning Tracker for Video. IEEE Trans. Evol. Comput. 28(2): 418-431 (2024) - [j214]Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen, Lingling Li:
Mask-Guided Correlation Learning for Few-Shot Segmentation in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j213]Xu Liu, Yu Liu, Licheng Jiao, Lingling Li, Fang Liu, Shuyuan Yang, Biao Hou:
MutSimNet: Mutually Reinforcing Similarity Learning for RS Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j212]Xue Song, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Biao Hou:
MGPACNet: A Multiscale Geometric Prior Aware Cross-Modal Network for Images Fusion Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j211]Long Sun, Chao Li, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou:
Lighter and Robust: A Rotation-Invariant Transformer for VHR Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j210]Xiaoyan Yang, Licheng Jiao, Yangyang Li, Xu Liu, Lingling Li, Puhua Chen, Fang Liu, Shuyuan Yang:
High-Order Relation Learning Transformer for Satellite Video Object Tracking. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j209]Yuting Yang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Shuyuan Yang:
LGLFormer: Local-Global Lifting Transformer for Remote Sensing Scene Parsing. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j208]Xiaoyan Yang, Licheng Jiao, Yangyang Li, Xu Liu, Fang Liu, Lingling Li, Puhua Chen, Shuyuan Yang:
Relation Learning Reasoning Meets Tiny Object Tracking in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j207]Xin Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Wenping Ma, Shuyuan Yang:
Adaptive Multi-Scale Transformer Tracker for Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j206]Xiaowen Zhang, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Wenping Ma, Shuyuan Yang:
Globally-Aware Continuous-Time Redistribution Learning for RS Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j205]Xin Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang:
Effective and Robust: A Discriminative Temporal Learning Transformer for Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j204]Fan Zhang, Lingling Li, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou:
Renormalized Connection for Scale-Preferred Object Detection in Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-23 (2024) - [j203]Yi Zuo, Lingling Li, Xu Liu, Zihan Gao, Licheng Jiao, Fang Liu, Shuyuan Yang:
Robust Instance-Based Semi-Supervised Learning Change Detection for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j202]Jie Chen, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Puhua Chen, Shuyuan Yang, Biao Hou:
Hierarchical Dynamic Graph Clustering Network. IEEE Trans. Knowl. Data Eng. 36(9): 4722-4735 (2024) - [j201]Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen:
Feature Distribution Representation Learning Based on Knowledge Transfer for Long-Tailed Classification. IEEE Trans. Multim. 26: 2772-2784 (2024) - [j200]Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Xiangrong Zhang:
Bio-Inspired Multi-Scale Contourlet Attention Networks. IEEE Trans. Multim. 26: 2824-2837 (2024) - [j199]Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Shuang Wang, Biao Hou:
Multi-Scale Contourlet Knowledge Guide Learning Segmentation. IEEE Trans. Multim. 26: 4831-4845 (2024) - [j198]Pei He, Licheng Jiao, Fang Liu, Xu Liu, Ronghua Shang, Shuang Wang:
Cross-Domain Scene Unsupervised Learning Segmentation With Dynamic Subdomains. IEEE Trans. Multim. 26: 6770-6784 (2024) - [j197]Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Lingling Li, Yuwei Guo, Puhua Chen:
A Knowledge-Based Hierarchical Causal Inference Network for Video Action Recognition. IEEE Trans. Multim. 26: 9135-9149 (2024) - [j196]Xiufang Li, Licheng Jiao, Qigong Sun, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang:
A Category-Aware Curriculum Learning for Data-Free Knowledge Distillation. IEEE Trans. Multim. 26: 9603-9618 (2024) - [j195]Xueli Geng, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang:
Fast and Effective: Progressive Hierarchical Fusion Classification for Remote Sensing Images. IEEE Trans. Multim. 26: 9776-9789 (2024) - [j194]Fang Liu, Xiaoxue Qian, Licheng Jiao, Xiangrong Zhang, Lingling Li, Yuanhao Cui:
Contrastive Learning-Based Dual Dynamic GCN for SAR Image Scene Classification. IEEE Trans. Neural Networks Learn. Syst. 35(1): 390-404 (2024) - [j193]Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Lingling Li:
Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1857-1871 (2024) - [j192]Jie Gao, Licheng Jiao, Xu Liu, Lingling Li, Puhua Chen, Fang Liu, Shuyuan Yang:
Multiscale Dynamic Curvelet Scattering Network. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7999-8012 (2024) - [j191]Chenxi Tian, Licheng Jiao, Fang Liu, Xu Liu, Shuyuan Yang:
Robust and Effective: A Deep Matrix Factorization Framework for Classification. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9958-9969 (2024) - [j190]Wenping Ma, Mengru Ma, Licheng Jiao, Fang Liu, Hao Zhu, Xu Liu, Shuyuan Yang, Biao Hou:
An Adaptive Migration Collaborative Network for Multimodal Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10935-10949 (2024) - [j189]Pei He, Licheng Jiao, Ronghua Shang, Xu Liu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang:
A Patch Diversity Transformer for Domain Generalized Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14138-14150 (2024) - [c73]Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu:
ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization. AAAI 2024: 5390-5400 - [c72]Zihan Gao, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Yuwei Guo:
Multiplane Prior Guided Few-Shot Aerial Scene Rendering. CVPR 2024: 5009-5019 - [c71]Xiaoqiang Lu, Tong Gou, Zhongjian Huang, Yuting Yang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu:
Multimodal Segformer for Flood Rapid Mapping with Sentinel-2 Data. IGARSS 2024: 790-793 - [c70]Tingrui Zhang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Fang Liu, Cheng Zhu, Licheng Jiao:
Time-Guided Network for Remote Sensing Change Detection. IGARSS 2024: 8413-8416 - [c69]Yijing Wang, Xu Tang, Jingjing Ma, Xiangrong Zhang, Cheng Zhu, Fang Liu, Licheng Jiao:
Pseudo-Viewpoint Regularized 3D Gaussian Splatting For Remote Sensing Few-Shot Novel View Synthesis. IGARSS 2024: 8660-8663 - [c68]Xia Zhang, Jia Liu, Wenhua Zhang, Fang Liu, Jingxiang Yang, Liang Xiao:
Spectral-Spatial Attentions and Deep Supervision for Change Detection in Remote Sensing Images. IGARSS 2024: 10306-10310 - [c67]Dan Zhang, Xu Liu, Licheng Jiao, Fang Liu:
Multi-Scale Co-Attention Learning For SAR Image Change Detection. IGARSS 2024: 10436-10440 - [c66]Pei He, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Wenping Ma, Shuyuan Yang, Ronghua Shang:
Domain Generalization-Aware Uncertainty Introspective Learning for 3D Point Clouds Segmentation. ACM Multimedia 2024: 651-660 - [i34]Wang Chao, Jiaxuan Zhao, Licheng Jiao, Lingling Li, Fang Liu, Shuyuan Yang:
A match made in consistency heaven: when large language models meet evolutionary algorithms. CoRR abs/2401.10510 (2024) - [i33]Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen:
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification. CoRR abs/2401.11436 (2024) - [i32]Yanbiao Ma, Licheng Jiao, Fang Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Xu Liu, Puhua Chen:
Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds. CoRR abs/2404.13859 (2024) - [i31]Yanbiao Ma, Licheng Jiao, Fang Liu, Lingling Li, Shuyuan Yang, Xu Liu:
Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification. CoRR abs/2404.17173 (2024) - [i30]Yi Zuo, Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Wenping Ma, Shuyuan Yang, Yuwei Guo:
Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video Motion Editing. CoRR abs/2405.04496 (2024) - [i29]Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Fang Liu, Shuyuan Yang:
Automatic Graph Topology-Aware Transformer. CoRR abs/2405.19779 (2024) - [i28]Zihan Gao, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Yuwei Guo:
Multiplane Prior Guided Few-Shot Aerial Scene Rendering. CoRR abs/2406.04961 (2024) - [i27]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:
Technique Report of CVPR 2024 PBDL Challenges. CoRR abs/2406.10744 (2024) - [i26]Zihan Gao, Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Wenping Ma, Yuwei Guo, Shuyuan Yang:
Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation. CoRR abs/2407.01220 (2024) - [i25]Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu:
CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track. CoRR abs/2408.13582 (2024) - [i24]Fan Zhang, Lingling Li, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou:
Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery. CoRR abs/2409.05624 (2024) - [i23]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:
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation. CoRR abs/2409.05847 (2024) - 2023
- [j188]Pengfang Li, Fang Liu, Licheng Jiao, Lingling Li, Puhua Chen, Shuo Li:
Task context transformer and GCN for few-shot learning of cross-domain. Neurocomputing 548: 126433 (2023) - [j187]Mengru Ma, Wenping Ma, Licheng Jiao, Xu Liu, Lingling Li, Zhixi Feng, Fang Liu, Shuyuan Yang:
A multimodal hyper-fusion transformer for remote sensing image classification. Inf. Fusion 96: 66-79 (2023) - [j186]Shuo Li, Fang Liu, Zehua Hao, Licheng Jiao, Xu Liu, Yuwei Guo:
MinEnt: Minimum entropy for self-supervised representation learning. Pattern Recognit. 138: 109364 (2023) - [j185]Pengfang Li, Fang Liu, Licheng Jiao, Shuo Li, Lingling Li, Xu Liu, Xinyan Huang:
Knowledge transduction for cross-domain few-shot learning. Pattern Recognit. 141: 109652 (2023) - [j184]Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Xinyan Huang, Shuo Li, Puhua Chen, Xu Liu:
Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference. Pattern Recognit. 143: 109790 (2023) - [j183]Xinyan Huang, Fang Liu, Yuanhao Cui, Puhua Chen, Lingling Li, Pengfang Li:
Faster and Better: A Lightweight Transformer Network for Remote Sensing Scene Classification. Remote. Sens. 15(14): 3645 (2023) - [j182]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:
Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1-45 (2023) - [j181]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:
Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2992-3033 (2023) - [j180]Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Hua Yang, Xu Liu, Lingling Li, Puhua Chen:
SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4000-4012 (2023) - [j179]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:
Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10084-10120 (2023) - [j178]Licheng Jiao, Jie Chen, Fang Liu, Shuyuan Yang, Chao You, Xu Liu, Lingling Li, Biao Hou:
Graph Representation Learning Meets Computer Vision: A Survey. IEEE Trans. Artif. Intell. 4(1): 2-22 (2023) - [j177]Licheng Jiao, Jie Gao, Xu Liu, Fang Liu, Shuyuan Yang, Biao Hou:
Multiscale Representation Learning for Image Classification: A Survey. IEEE Trans. Artif. Intell. 4(1): 23-43 (2023) - [j176]Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu:
DFAT: Dynamic Feature-Adaptive Tracking. IEEE Trans. Circuits Syst. Video Technol. 33(1): 43-58 (2023) - [j175]Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Lingling Li, Puhua Chen, Xiufang Li, Zhongjian Huang:
Dual Wavelet Attention Networks for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1899-1910 (2023) - [j174]Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen:
Learning Salient Feature for Salient Object Detection Without Labels. IEEE Trans. Cybern. 53(2): 1012-1025 (2023) - [j173]Xiaotong Li, Licheng Jiao, Hao Zhu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang, Rong Qu:
A Collaborative Learning Tracking Network for Remote Sensing Videos. IEEE Trans. Cybern. 53(3): 1954-1967 (2023) - [j172]Qigong Sun, Xiufang Li, Licheng Jiao, Yan Ren, Fanhua Shang, Fang Liu:
Fast and Effective: A Novel Sequential Single-Path Search for Mixed-Precision-Quantized Networks. IEEE Trans. Cybern. 53(10): 6187-6199 (2023) - [j171]Xueli Geng, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Xiangrong Zhang:
Multisource Joint Representation Learning Fusion Classification for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j170]Xiaoqiang Lu, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang, Zhixi Feng, Puhua Chen:
Weak-to-Strong Consistency Learning for Semisupervised Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j169]Jingjing Ma, Weiquan Lin, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Multipretext-Task Prototypes Guided Dynamic Contrastive Learning Network for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j168]Xue Song, Lingling Li, Licheng Jiao, Fang Liu, Xu Liu, Shuyuan Yang:
A Spatial-Spectral Bilinear Representation Fusion Network for Multimodal Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j167]Long Sun, Lingling Li, Yilin Shao, Licheng Jiao, Xu Liu, Puhua Chen, Fang Liu, Shuyuan Yang, Biao Hou:
Which Target to Focus on: Class-Perception for Semantic Segmentation of Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j166]Xu Tang, Tianxiang Zhang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
WNet: W-Shaped Hierarchical Network for Remote-Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j165]Wenzhen Wang, Fang Liu, Jia Liu, Liang Xiao:
Cross-Domain Few-Shot Hyperspectral Image Classification With Class-Wise Attention. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j164]Jiahao Wang, Fang Liu, Hao Wang, Xu Liu, Licheng Jiao, Hua Yang, Lingling Li, Puhua Chen:
SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j163]Yinan Wu, Licheng Jiao, Fang Liu, Zhaoliang Pi, Xu Liu, Lingling Li, Shuyuan Yang:
CSLT: Contourlet-Based Siamese Learning Tracker for Dim and Small Targets in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j162]Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Yake Zhang, Jianlong Wang:
Multicue Contrastive Self-Supervised Learning for Change Detection in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j161]Yuting Yang, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang:
An Explainable Spatial-Frequency Multiscale Transformer for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j160]Chao You, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Wenping Ma, Shuyuan Yang:
Boundary-Aware Multiscale Learning Perception for Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j159]Zixiao Zhang, Licheng Jiao, Lingling Li, Xu Liu, Puhua Chen, Fang Liu, Yuxuan Li, Zhicheng Guo:
A Spatial Hierarchical Reasoning Network for Remote Sensing Visual Question Answering. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j158]Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li, Meijuan Yang, Jianlong Wang, Xu Liu:
Curvelet Adversarial Augmented Neural Network for SAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j157]Jiaxuan Zhao, Licheng Jiao, Chao Wang, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang:
GeoFormer: A Geometric Representation Transformer for Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j156]Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu, Fang Liu:
A Universal Quaternion Hypergraph Network for Multimodal Video Question Answering. IEEE Trans. Multim. 25: 38-49 (2023) - [j155]Xiufang Li, Qigong Sun, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Yi Zuo:
$D^{3}K$: Dynastic Data-Free Knowledge Distillation. IEEE Trans. Multim. 25: 8358-8371 (2023) - [j154]Jun Zhang, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Puhua Chen, Shuyuan Yang:
Transformer Based Conditional GAN for Multimodal Image Fusion. IEEE Trans. Multim. 25: 8988-9001 (2023) - [j153]Haoran Wang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan:
Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2951-2964 (2023) - [j152]Jie Gao, Licheng Jiao, Fang Liu, Shuyuan Yang, Biao Hou, Xu Liu:
Multiscale Curvelet Scattering Network. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3665-3679 (2023) - [j151]Licheng Jiao, Dan Wang, Yidong Bai, Puhua Chen, Fang Liu:
Deep Learning in Visual Tracking: A Review. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5497-5516 (2023) - [j150]Jun Zhang, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Hao Zhu:
RDLNet: A Regularized Descriptor Learning Network. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5669-5681 (2023) - [c65]Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li:
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification. CVPR 2023: 15824-15835 - [c64]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:
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 2023: 4620-4630 - [c63]Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu:
Delving into Semantic Scale Imbalance. ICLR 2023 - [c62]Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang:
A Strong Vision Transformer Adapter with Adaptive Thresholding for fine-Grained Building Classification. IGARSS 2023: 674-677 - [c61]Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang:
Trident Cooperation Network for Building Extraction and Height Estimation. IGARSS 2023: 762-765 - [c60]Jiaqi An, Fang Liu, Jia Liu, Liang Xiao, Xu Tang:
Spatial-Preserving and Edge-Orienting High-Resolution Network for Remote Sensing Change Detection. IGARSS 2023: 5515-5518 - [c59]Xu Liu, Yu Liu, Licheng Jiao, Lingling Li, Fang Liu, Dan Zhang:
Swin Resnetswin Transformers for Change Detection in Remote Sensing Images. IGARSS 2023: 6660-6663 - [c58]Hejun Luo, Jia Liu, Fang Liu, Wenhua Zhang, Jingxiang Yang, Liang Xiao:
Edge-Guided Feature Dense Fusion Network for Remote Sensing Image Change Detection. IGARSS 2023: 6684-6687 - [c57]Keming Liu, Fang Liu, Jia Liu, Liang Xiao, Xu Tang:
Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention Mechanism. IGARSS 2023: 6916-6919 - [c56]Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang:
Domain-Specific and Domain-Common Feature Enhancement for Cross-Domain Few-Shot Hyperspectral Image Classification. IGARSS 2023: 7661-7664 - [c55]Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li:
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning. ACM Multimedia 2023: 4848-4857 - [i22]Chao Wang, Licheng Jiao, Jiaxuan Zhao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang:
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search. CoRR abs/2302.02565 (2023) - [i21]Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li:
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification. CoRR abs/2303.12307 (2023) - [i20]Xinyi Wang, Xuan Cui, Danxu Li, Fang Liu, Licheng Jiao:
Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids. CoRR abs/2308.14064 (2023) - [i19]Dan Wang, Licheng Jiao, Jie Chen, Shuyuan Yang, Fang Liu:
Changes-Aware Transformer: Learning Generalized Changes Representation. CoRR abs/2309.13619 (2023) - [i18]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:
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR abs/2309.15478 (2023) - [i17]Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li:
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning. CoRR abs/2310.10090 (2023) - [i16]Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen:
Data-Centric Long-Tailed Image Recognition. CoRR abs/2311.01744 (2023) - [i15]Yuwei Guo, Wenhao Zhang, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu:
Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification. CoRR abs/2312.07021 (2023) - 2022
- [j149]Lingling Li, Xiaohui Guo, Yan Wang, Jingjing Ma, Licheng Jiao, Fang Liu, Xu Liu:
Region NMS-based deep network for gigapixel level pedestrian detection with two-step cropping. Neurocomputing 468: 482-491 (2022) - [j148]Yaoyang Du, Fang Liu, Licheng Jiao, Zehua Hao, Shuo Li, Xu Liu, Jing Liu:
Augmentative contrastive learning for one-shot object detection. Neurocomputing 513: 13-24 (2022) - [j147]Bingqi Yu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Xu Tang:
Entire Deformable ConvNets for semantic segmentation. Knowl. Based Syst. 250: 108871 (2022) - [j146]Yuanhao Cui, Fang Liu, Xu Liu, Lingling Li, Xiaoxue Qian:
TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification. Remote. Sens. 14(10): 2451 (2022) - [j145]Jingjing Ma, Mingteng Li, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Homo-Heterogenous Transformer Learning Framework for RS Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2223-2239 (2022) - [j144]Licheng Jiao, Yuting Yang, Fang Liu, Shuyuan Yang, Biao Hou:
The New Generation Brain-Inspired Sparse Learning: A Comprehensive Survey. IEEE Trans. Artif. Intell. 3(6): 887-907 (2022) - [j143]Xu Liu, Licheng Jiao, Lingling Li, Lin Cheng, Fang Liu, Shuyuan Yang, Biao Hou:
Deep Multiview Union Learning Network for Multisource Image Classification. IEEE Trans. Cybern. 52(6): 4534-4546 (2022) - [j142]Xu Liu, Lingling Li, Fang Liu, Biao Hou, Shuyuan Yang, Licheng Jiao:
GAFnet: Group Attention Fusion Network for PAN and MS Image High-Resolution Classification. IEEE Trans. Cybern. 52(10): 10556-10569 (2022) - [j141]Jie Chen, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang:
Automatic Graph Learning Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j140]Yuanhao Cui, Fang Liu, Licheng Jiao, Yuwei Guo, Xuefeng Liang, Lingling Li, Shuyuan Yang, Xiaoxue Qian:
Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j139]Huihui Dong, Licheng Jiao, Wenping Ma, Fang Liu, Xu Liu, Lingling Li, Shuyuan Yang:
Deep Shearlet Network for Change Detection in SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j138]Huihui Dong, Wenping Ma, Licheng Jiao, Fang Liu, Lingling Li:
A Multiscale Self-Attention Deep Clustering for Change Detection in SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j137]Yuwei Guo, Licheng Jiao, Rong Qu, Zhuangzhuang Sun, Shuang Wang, Shuo Wang, Fang Liu:
Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j136]Aijin Li, Licheng Jiao, Hao Zhu, Lingling Li, Fang Liu:
Multitask Semantic Boundary Awareness Network for Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j135]Xiaoqiang Lu, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Zhixi Feng, Lingling Li, Puhua Chen:
Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j134]Mengru Ma, Wenping Ma, Licheng Jiao, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yang, Biao Hou:
Transfer Representation Learning Meets Multimodal Fusion Classification for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j133]Zhaoliang Pi, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Biao Hou, Shuyuan Yang:
Very Low-Resolution Moving Vehicle Detection in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j132]Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Puhua Chen, Lingling Li, Jing Gu, Yuanhao Cui:
A Hybrid Network With Structural Constraints for SAR Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j131]Wei Song, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Shuyuan Yang, Biao Hou, Wenhua Zhang:
A Joint Siamese Attention-Aware Network for Vehicle Object Tracking in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j130]Xu Tang, Mingteng Li, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
EMTCAL: Efficient Multiscale Transformer and Cross-Level Attention Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j129]Wenhua Zhang, Licheng Jiao, Fang Liu, Jia Liu, Zhen Cui:
LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j128]Wenhua Zhang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Jia Liu:
MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j127]Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Wei Song, Jia Liu:
Sparse Feature Clustering Network for Unsupervised SAR Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j126]Hao Zhu, Kenan Sun, Licheng Jiao, Xiaotong Li, Fang Liu, Biao Hou, Shuang Wang:
Adaptive Dual-Path Collaborative Learning for PAN and MS Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j125]Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Jia Liu:
Adaptive Contourlet Fusion Clustering for SAR Image Change Detection. IEEE Trans. Image Process. 31: 2295-2308 (2022) - [j124]Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Yake Zhang, Jianlong Wang:
Coarse-to-Fine Contrastive Self-Supervised Feature Learning for Land-Cover Classification in SAR Images With Limited Labeled Data. IEEE Trans. Image Process. 31: 6502-6516 (2022) - [j123]Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Xu Liu, Lingling Li:
MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors. IEEE Trans. Image Process. 31: 7306-7321 (2022) - [j122]Licheng Jiao, Ruohan Zhang, Fang Liu, Shuyuan Yang, Biao Hou, Lingling Li, Xu Tang:
New Generation Deep Learning for Video Object Detection: A Survey. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3195-3215 (2022) - [j121]Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Meng Jian:
DPFL-Nets: Deep Pyramid Feature Learning Networks for Multiscale Change Detection. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6402-6416 (2022) - [c54]Shuo Li, Fang Liu, Licheng Jiao:
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection. AAAI 2022: 1395-1403 - [c53]Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao:
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space. ECCV (31) 2022: 420-436 - [c52]Jiahao Wang, Hao Wang, Zhuojun Dong, Hua Yang, Yuting Yang, Qianyue Bao, Fang Liu, Licheng Jiao:
A Three-Stage Model Fusion Method for Out-of-Distribution Generalization. ECCV Workshops (6) 2022: 488-499 - [c51]Xu Liu, Licheng Jiao, Fang Liu, Dan Zhang, Xu Tang:
PolSF: PolSAR Image Datasets on San Francisco. IFIP TC12 ICIS 2022: 214-219 - [c50]Lingling Li, Yukai Sun, Fuhai Ma, Jingjing Ma, Licheng Jiao, Fang Liu:
Deep Complex Convolutional Neural Networks for Remote Sensing Image Classification. IFIP TC12 ICIS 2022: 252-259 - [c49]Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi:
A Dual-Fusion Semantic Segmentation Framework with Gan for SAR Images. IGARSS 2022: 991-994 - [c48]Yuqun Yang, Xu Tang, Fang Liu, Jingjing Ma, Licheng Jiao:
Remote Sensing Image Change Detection Based on Deep Dictionary Learning. IGARSS 2022: 1416-1419 - [c47]Qianyue Bao, Fang Liu, Yang Liu, Licheng Jiao, Xu Liu, Lingling Li:
Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos. ACM Multimedia 2022: 6103-6112 - [i14]Yuting Yang, Licheng Jiao, Xu Liu, Fang Liu, Shuyuan Yang, Zhixi Feng, Xu Tang:
Transformers Meet Visual Learning Understanding: A Comprehensive Review. CoRR abs/2203.12944 (2022) - [i13]Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi:
A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images. CoRR abs/2206.01096 (2022) - [i12]Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu:
Delving into Semantic Scale Imbalance. CoRR abs/2212.14613 (2022) - 2021
- [j120]Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao:
Deep associative learning for neural networks. Neurocomputing 443: 222-234 (2021) - [j119]Yuanhao Cui, Fang Liu, Xiaojun Jing, Junsheng Mu:
Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges. IEEE Netw. 35(5): 158-167 (2021) - [j118]Minghao Zhu, Licheng Jiao, Fang Liu, Shuyuan Yang, Jianing Wang:
Residual Spectral-Spatial Attention Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(1): 449-462 (2021) - [j117]Meijuan Yang, Licheng Jiao, Biao Hou, Fang Liu, Shuyuan Yang:
Selective Adversarial Adaptation-Based Cross-Scene Change Detection Framework in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(3): 2188-2203 (2021) - [j116]Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Yuwei Guo, Xu Liu, Yuanhao Cui:
Ridgelet-Nets With Speckle Reduction Regularization for SAR Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59(11): 9290-9306 (2021) - [j115]Haoran Wang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu, Deyi Ji, Weihao Gan:
IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection. IEEE Trans. Image Process. 30: 6583-6593 (2021) - [j114]Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang:
C-CNN: Contourlet Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2636-2649 (2021) - [c46]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:
LUAI Challenge 2021 on Learning to Understand Aerial Images. ICCVW 2021: 762-768 - [c45]Zixiao Zhang, Xiaoqiang Lu, Guojin Cao, Yuting Yang, Licheng Jiao, Fang Liu:
ViT-YOLO: Transformer-Based YOLO for Object Detection. ICCVW 2021: 2799-2808 - [c44]Yanbiao Ma, Yuxin Li, Kexin Feng, Xueli Geng, Licheng Jiao, Fang Liu, Yuting Yang:
Multisource Data Fusion for the Detection of Settlements Without Electricity. IGARSS 2021: 1839-1842 - [c43]Ruoxian Feng, Mengjiao Wang, Xuanming Zhang, Jun Zhang, Licheng Jiao, Xu Liu, Fang Liu:
DO-UNet, DO-LinkNet: UNet, D-LinkNet with DO-Conv for the Detection of Settlements without Electricity Challenge. IGARSS 2021: 1851-1854 - [c42]Qianyue Bao, Yang Liu, Zixiao Zhang, Dafan Chen, Yuting Yang, Licheng Jiao, Fang Liu:
MRTA: Multi-Resolution Training Algorithm for Multitemporal Semantic Change Detection. IGARSS 2021: 2062-2065 - [i11]Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu:
Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization. CoRR abs/2103.02904 (2021) - [i10]Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang Liu:
MWQ: Multiscale Wavelet Quantized Neural Networks. CoRR abs/2103.05363 (2021) - [i9]Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu:
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment. CoRR abs/2105.01353 (2021) - [i8]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:
LUAI Challenge 2021 on Learning to Understand Aerial Images. CoRR abs/2108.13246 (2021) - 2020
- [j113]Fei Hu, Long Ye, Wei Zhong, Fang Liu, Qin Zhang:
Deep Auxiliary Learning for Point Cloud Generation. IEEE Access 8: 18538-18545 (2020) - [j112]Jingyi Ding, Jian Song, Licheng Jiao, Jianshe Wu, Fang Liu:
Multi-Resolution Prediction Model Based on Community Relevance for Missing Links Prediction. IEEE Access 8: 113981-113993 (2020) - [j111]Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao, Fang Liu:
SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification. IEEE Access 8: 146560-146576 (2020) - [j110]Licheng Jiao, Mengxuan Zhang, Fang Liu, Wenping Ma, Lingling Li:
A Two-Stage Evolutionary Fuzzy Clustering Framework for Noisy Image Segmentation. IEEE Access 8: 186663-186678 (2020) - [j109]Lingling Li, Liyuan Ma, Licheng Jiao, Fang Liu, Qigong Sun, Jin Zhao:
Complex Contourlet-CNN for polarimetric SAR image classification. Pattern Recognit. 100: 107110 (2020) - [j108]Yuwei Guo, Zhuangzhuang Sun, Rong Qu, Licheng Jiao, Fang Liu, Xiangrong Zhang:
Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification. Remote. Sens. 12(10): 1694 (2020) - [j107]Lingling Li, Pujiang Liang, Jingjing Ma, Licheng Jiao, Xiaohui Guo, Fang Liu, Chen Sun:
A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification. Remote. Sens. 12(14): 2209 (2020) - [j106]Jingjing Ma, Linlin Wu, Xu Tang, Fang Liu, Xiangrong Zhang, Licheng Jiao:
Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network. Remote. Sens. 12(15): 2350 (2020) - [j105]Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li, Meijuan Yang:
Discriminative Sketch Topic Model With Structural Constraint for SAR Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5730-5745 (2020) - [j104]Jing Gu, Licheng Jiao, Fang Liu, Xiangrong Zhang, Xu Tang, Puhua Chen:
Multi-Feature Weighted Sparse Graph for SAR Image Analysis. IEEE Trans. Geosci. Remote. Sens. 58(2): 881-891 (2020) - [j103]Lingling Li, Jie Zeng, Licheng Jiao, Pujiang Liang, Fang Liu, Shuyuan Yang:
Online Active Extreme Learning Machine With Discrepancy Sampling for PolSAR Classification. IEEE Trans. Geosci. Remote. Sens. 58(3): 2027-2041 (2020) - [c41]Shichao Nie, Chengconghui Ma, Dafan Chen, Shuting Yin, Haoran Wang, Licheng Jiao, Fang Liu:
A Dual Residual Network with Channel Attention for Image Restoration. ECCV Workshops (5) 2020: 352-363 - [c40]Xu Liu, Licheng Jiao, Fang Liu, Xin Hou, Dan Zhang:
Feature Correlation Analysis of Two-Branch Convolutional Networks for Multi-Source Image Classification. IGARSS 2020: 936-939 - [c39]Chao Liu, Xu Tang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Junyong Ma, Licheng Jiao:
Remote Sensing Images Feature Learning based On Multi-Branch Networks. IGARSS 2020: 2057-2060 - [c38]Lingling Li, Lin Cheng, Xiaohui Guo, Xu Liu, Licheng Jiao, Fang Liu:
Deep Adaptive Proposal Network in Optical Remote Sensing Images Objective Detection. IGARSS 2020: 2651-2654 - [c37]Shuting Yin, Dafan Chen, Chengconghui Ma, Yanchao Lian, Licheng Jiao, Fang Liu:
Weakly Supervised Land Cover Classification Method For Large-Scale Multi-Resolution Labeled Satellite Images Data Sets. IGARSS 2020: 7070-7073 - [c36]Gege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun:
AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation. IJCAI 2020: 789-796 - [i7]Fan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu:
MultiResolution Attention Extractor for Small Object Detection. CoRR abs/2006.05941 (2020)
2010 – 2019
- 2019
- [j102]Ye Wei, Licheng Jiao, Fang Liu, Shuyuan Yang, Qian Wu, Gustaph Sanga:
Fast DDL Classification for SAR Images With l1, ∞ Constraint. IEEE Access 7: 68991-69006 (2019) - [j101]Wan Li, Fang Liu, Licheng Jiao, Fei Hu:
Multi-Scale Residual Reconstruction Neural Network With Non-Local Constraint. IEEE Access 7: 70910-70918 (2019) - [j100]Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu:
A Survey of Deep Learning-Based Object Detection. IEEE Access 7: 128837-128868 (2019) - [j99]Lingling Li, Zhengyan Yang, Licheng Jiao, Fang Liu, Xu Liu:
High-Resolution SAR Change Detection Based on ROI and SPP Net. IEEE Access 7: 177009-177022 (2019) - [j98]Puhua Chen, Licheng Jiao, Fang Liu, Zhiqiang Zhao, Jiaqi Zhao:
Adaptive sparse graph learning based dimensionality reduction for classification. Appl. Soft Comput. 82 (2019) - [j97]Huan Chen, Licheng Jiao, Miaomiao Liang, Fang Liu, Shuyuan Yang, Biao Hou:
Fast unsupervised deep fusion network for change detection of multitemporal SAR images. Neurocomputing 332: 56-70 (2019) - [j96]Xu Tang, Chao Liu, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Large-Scale Remote Sensing Image Retrieval Based on Semi-Supervised Adversarial Hashing. Remote. Sens. 11(17): 2055 (2019) - [j95]Lingling Li, Sibo Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Tang:
Semi-Coupled Convolutional Sparse Learning for Image Super-Resolution. Remote. Sens. 11(21): 2593 (2019) - [j94]Wan Li, Fang Liu, Licheng Jiao, Fei Hu, Shuyuan Yang:
Video reconstruction based on Intrinsic Tensor Sparsity model. Signal Process. Image Commun. 72: 113-125 (2019) - [j93]Juanjuan Luo, Licheng Jiao, Fang Liu, Shuyuan Yang, Wenping Ma:
A Pareto-Based Sparse Subspace Learning Framework. IEEE Trans. Cybern. 49(11): 3859-3872 (2019) - [j92]Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang:
Transferred Deep Learning-Based Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(9): 6960-6973 (2019) - [j91]Hao Zhu, Licheng Jiao, Wenping Ma, Fang Liu, Wei Zhao:
A Novel Neural Network for Remote Sensing Image Matching. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2853-2865 (2019) - [c35]Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao:
Pixel Dag-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification. IGARSS 2019: 2718-2721 - [c34]Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu:
Polsar Image Classification Based on Polarimetric Scattering Coding and Sparse Support Matrix Machine. IGARSS 2019: 3181-3184 - [c33]Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao:
Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification. IGARSS 2019: 3245-3248 - [c32]Fang Liu, Xu Tang:
A Stepwise Method for Change Detection in Large-Scale Polarimetric SAR Images. IGARSS 2019: 5425-5428 - [i6]Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao:
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification. CoRR abs/1906.03605 (2019) - [i5]Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao:
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification. CoRR abs/1906.03607 (2019) - [i4]Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu:
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine. CoRR abs/1906.07176 (2019) - [i3]Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu:
A Survey of Deep Learning-based Object Detection. CoRR abs/1907.09408 (2019) - [i2]Xu Liu, Licheng Jiao, Fang Liu:
PolSF: PolSAR image dataset on San Francisco. CoRR abs/1912.07259 (2019) - 2018
- [j90]Hong Li, Weibin Li, Gaining Han, Fang Liu:
Coupled Tensor Decomposition for Hyperspectral Pansharpening. IEEE Access 6: 34206-34213 (2018) - [j89]Jiaqi Zhao, Licheng Jiao, Fang Liu, Vitor Basto-Fernandes, Iryna Yevseyeva, Shixiong Xia, Michael T. M. Emmerich:
3D fast convex-hull-based evolutionary multiobjective optimization algorithm. Appl. Soft Comput. 67: 322-336 (2018) - [j88]Jing Gu, Licheng Jiao, Fang Liu, Shuyuan Yang, Rongfang Wang, Puhua Chen, Yuanhao Cui, Junhu Xie, Yake Zhang:
Random subspace based ensemble sparse representation. Pattern Recognit. 74: 544-555 (2018) - [j87]Licheng Jiao, Sibo Zhang, Lingling Li, Fang Liu, Wenping Ma:
A modified convolutional neural network for face sketch synthesis. Pattern Recognit. 76: 125-136 (2018) - [j86]Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Unsupervised Deep Feature Learning for Remote Sensing Image Retrieval. Remote. Sens. 10(8): 1243 (2018) - [j85]Miaomiao Liang, Licheng Jiao, Shuyuan Yang, Fang Liu, Biao Hou, Huan Chen:
Deep Multiscale Spectral-Spatial Feature Fusion for Hyperspectral Images Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2911-2924 (2018) - [j84]Leping Lin, Fang Liu, Licheng Jiao, Shuyuan Yang, Hongxia Hao:
The Overcomplete Dictionary-Based Directional Estimation Model and Nonconvex Reconstruction Methods. IEEE Trans. Cybern. 48(3): 1042-1053 (2018) - [j83]Sibo Zhang, Licheng Jiao, Fang Liu, Shuang Wang:
Global Low-Rank Image Restoration With Gaussian Mixture Model. IEEE Trans. Cybern. 48(6): 1827-1838 (2018) - [j82]Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu:
Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition. IEEE Trans. Cybern. 48(8): 2402-2415 (2018) - [j81]Jing Gu, Licheng Jiao, Shuyuan Yang, Fang Liu:
Fuzzy Double C-Means Clustering Based on Sparse Self-Representation. IEEE Trans. Fuzzy Syst. 26(2): 612-626 (2018) - [j80]Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Wenqiang Hua:
Fuzzy Superpixels for Polarimetric SAR Images Classification. IEEE Trans. Fuzzy Syst. 26(5): 2846-2860 (2018) - [j79]Xu Liu, Licheng Jiao, Jiaqi Zhao, Jin Zhao, Dan Zhang, Fang Liu, Shuyuan Yang, Xu Tang:
Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery. IEEE Trans. Geosci. Remote. Sens. 56(1): 461-473 (2018) - [j78]Fang Liu, Jie Wu, Lingling Li, Licheng Jiao, Hongxia Hao, Xiangrong Zhang:
A Hybrid Method of SAR Speckle Reduction Based on Geometric-Structural Block and Adaptive Neighborhood. IEEE Trans. Geosci. Remote. Sens. 56(2): 730-748 (2018) - [j77]Yiping Duan, Fang Liu, Licheng Jiao, Xiaoming Tao, Jie Wu, Cheng Shi, Martin O. Wimmers:
Adaptive Hierarchical Multinomial Latent Model With Hybrid Kernel Function for SAR Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 56(10): 5997-6015 (2018) - [c31]Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao:
Circular Relevance Feedback for Remote Sensing Image Retrieval. IGARSS 2018: 8953-8956 - 2017
- [j76]Lin Li, Licheng Jiao, Rustam Stolkin, Fang Liu:
Mixed second order partial derivatives decomposition method for large scale optimization. Appl. Soft Comput. 61: 1013-1021 (2017) - [j75]Puhua Chen, Licheng Jiao, Fang Liu, Jiaqi Zhao, Zhiqiang Zhao, Shuai Liu:
Semi-supervised double sparse graphs based discriminant analysis for dimensionality reduction. Pattern Recognit. 61: 361-378 (2017) - [j74]Yiping Duan, Fang Liu, Licheng Jiao, Peng Zhao, Lu Zhang:
SAR Image segmentation based on convolutional-wavelet neural network and markov random field. Pattern Recognit. 64: 255-267 (2017) - [j73]Puhua Chen, Licheng Jiao, Fang Liu, Shuiping Gou, Jiaqi Zhao, Zhiqiang Zhao:
Dimensionality Reduction of Hyperspectral Imagery Using Sparse Graph Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(3): 1165-1181 (2017) - [j72]Wen Xie, Licheng Jiao, Biao Hou, Wenping Ma, Jin Zhao, Shuyin Zhang, Fang Liu:
POLSAR Image Classification via Wishart-AE Model or Wishart-CAE Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(8): 3604-3615 (2017) - [j71]Licheng Jiao, Sibo Zhang, Lingling Li, Shuyuan Yang, Fang Liu, Hongxia Hao, Hang Dong:
A Novel Image Representation Framework Based on Gaussian Model and Evolutionary Optimization. IEEE Trans. Evol. Comput. 21(2): 265-280 (2017) - [j70]Xu Tang, Licheng Jiao, William J. Emery, Fang Liu, Dan Zhang:
Two-Stage Reranking for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 55(10): 5798-5817 (2017) - 2016
- [j69]Jingyi Ding, Licheng Jiao, Jianshe Wu, Fang Liu:
Prediction of missing links based on community relevance and ruler inference. Knowl. Based Syst. 98: 200-215 (2016) - [j68]Yong Huang, Fang Liu:
Detecting Cars in VHR SAR Images via Semantic CFAR Algorithm. IEEE Geosci. Remote. Sens. Lett. 13(6): 801-805 (2016) - [j67]Jie Wu, Fang Liu, Hongxia Hao, Lingling Li, Licheng Jiao, Xiangrong Zhang:
A Nonlocal Means for Speckle Reduction of SAR Image With Multiscale-Fusion-Based Steerable Kernel Function. IEEE Geosci. Remote. Sens. Lett. 13(11): 1646-1650 (2016) - [j66]Yiping Duan, Fang Liu, Licheng Jiao:
Sketching Model and Higher Order Neighborhood Markov Random Field-Based SAR Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 13(11): 1686-1690 (2016) - [j65]Jie Feng, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang:
Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images. Pattern Recognit. 51: 295-309 (2016) - [j64]Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan:
Hierarchical semantic model and scattering mechanism based PolSAR image classification. Pattern Recognit. 59: 325-342 (2016) - [j63]Juanjuan Luo, Licheng Jiao, Ronghua Shang, Fang Liu:
Learning simultaneous adaptive clustering and classification via MOEA. Pattern Recognit. 60: 37-50 (2016) - [j62]Xiaoliang Ma, Fang Liu, Yutao Qi, Lingling Li, Licheng Jiao, Xiaozheng Deng, Xiaodong Wang, Bei Dong, Zhanting Hou, Yongxiao Zhang, Jianshe Wu:
MOEA/D with biased weight adjustment inspired by user preference and its application on multi-objective reservoir flood control problem. Soft Comput. 20(12): 4999-5023 (2016) - [j61]Leping Lin, Fang Liu, Licheng Jiao:
Geometric structure guided collaborative compressed sensing. Signal Process. Image Commun. 40: 16-25 (2016) - [j60]Wan Li, Fang Liu, Licheng Jiao, Hongxia Hao, Shuyuan Yang:
A group matching pursuit for image reconstruction. Signal Process. Image Commun. 49: 47-62 (2016) - [j59]Jing Gu, Licheng Jiao, Shuyuan Yang, Fang Liu, Biao Hou, Zhiqiang Zhao:
A Multi-kernel Joint Sparse Graph for SAR Image Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(3): 1265-1285 (2016) - [j58]Jianing Wang, Licheng Jiao, Shuang Wang, Biao Hou, Fang Liu:
Adaptive Nonlocal Spatial-Spectral Kernel for Hyperspectral Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4086-4101 (2016) - [j57]Hong Li, Fang Liu, Shuyuan Yang, Kai Zhang, Xiaomeng Su, Licheng Jiao:
Refined Pan-Sharpening With NSCT and Hierarchical Sparse Autoencoder. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5715-5725 (2016) - [j56]Xiaoliang Ma, Fang Liu, Yutao Qi, Xiaodong Wang, Lingling Li, Licheng Jiao, Minglei Yin, Maoguo Gong:
A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables. IEEE Trans. Evol. Comput. 20(2): 275-298 (2016) - [j55]Hang Yu, Licheng Jiao, Fang Liu:
CRIM-FCHO: SAR Image Two-Stage Segmentation With Multifeature Ensemble. IEEE Trans. Geosci. Remote. Sens. 54(4): 2400-2423 (2016) - [j54]Zhiqiang Zhao, Licheng Jiao, Fang Liu, Jiaqi Zhao, Puhua Chen:
Semisupervised Discriminant Feature Learning for SAR Image Category via Sparse Ensemble. IEEE Trans. Geosci. Remote. Sens. 54(6): 3532-3547 (2016) - [j53]Fang Liu, Yiping Duan, Lingling Li, Licheng Jiao, Jie Wu, Shuyuan Yang, Xiangrong Zhang, Jialing Yuan:
SAR Image Segmentation Based on Hierarchical Visual Semantic and Adaptive Neighborhood Multinomial Latent Model. IEEE Trans. Geosci. Remote. Sens. 54(7): 4287-4301 (2016) - 2015
- [j52]Handing Wang, Licheng Jiao, Ronghua Shang, Shan He, Fang Liu:
A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space. Evol. Comput. 23(1): 69-100 (2015) - [j51]Xiao-Zhuo Luo, Fang Liu, Shuyuan Yang, Xiaodong Wang, Zhiguo Zhou:
Joint sparse regularization based Sparse Semi-Supervised Extreme Learning Machine (S3ELM) for classification. Knowl. Based Syst. 73: 149-160 (2015) - [j50]Lixia Yang, Shuyuan Yang, Sujing Li, Rui Zhang, Fang Liu, Licheng Jiao:
Coupled compressed sensing inspired sparse spatial-spectral LSSVM for hyperspectral image classification. Knowl. Based Syst. 79: 80-89 (2015) - [j49]Shuyuan Yang, Min Wang, Li Jin, Shigang Wang, Fang Liu, Licheng Jiao:
Learning compressive sampling via multiscale and steerable support value transform. Knowl. Based Syst. 82: 128-138 (2015) - [j48]Zhiguo Zhou, Fang Liu, Lingling Li, Licheng Jiao, Zhi-Jie Zhou, Jian-Bo Yang, Zhi-Long Wang:
A cooperative belief rule based decision support system for lymph node metastasis diagnosis in gastric cancer. Knowl. Based Syst. 85: 62-70 (2015) - [j47]Tao Sun, Licheng Jiao, Jie Feng, Fang Liu, Xiangrong Zhang:
Imbalanced Hyperspectral Image Classification Based on Maximum Margin. IEEE Geosci. Remote. Sens. Lett. 12(3): 522-526 (2015) - [j46]Cheng Shi, Fang Liu, Qiguang Miao:
Pan-sharpening via regional division and NSST. Multim. Tools Appl. 74(18): 7843-7857 (2015) - [j45]Ganchao Liu, Licheng Jiao, Fang Liu, Hua Zhong, Shuang Wang:
A new patch based change detector for polarimetric SAR data. Pattern Recognit. 48(3): 685-695 (2015) - [j44]Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Kaixuan Rong, Tao Xiong:
A novel dynamic rough subspace based selective ensemble. Pattern Recognit. 48(5): 1638-1652 (2015) - [j43]Jianing Wang, Licheng Jiao, Hongying Liu, Shuyuan Yang, Fang Liu:
Hyperspectral Image Classification by Spatial-Spectral Derivative-Aided Kernel Joint Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2485-2500 (2015) - [j42]Licheng Jiao, Jie Feng, Fang Liu, Tao Sun, Xiangrong Zhang:
Semisupervised Affinity Propagation Based on Normalized Trivariable Mutual Information for Hyperspectral Band Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2760-2773 (2015) - [j41]Fang Liu, Leping Lin, Licheng Jiao, Lingling Li, Shuyuan Yang, Biao Hou, Hongmei Ma, Li Yang, Jinghuan Xu:
Nonconvex Compressed Sensing by Nature-Inspired Optimization Algorithms. IEEE Trans. Cybern. 45(5): 1028-1039 (2015) - [j40]Jie Feng, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang:
Mutual-Information-Based Semi-Supervised Hyperspectral Band Selection With High Discrimination, High Information, and Low Redundancy. IEEE Trans. Geosci. Remote. Sens. 53(5): 2956-2969 (2015) - [j39]Cheng Shi, Fang Liu, Lingling Li, Licheng Jiao, Yiping Duan, Shuang Wang:
Learning Interpolation via Regional Map for Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 53(6): 3417-3431 (2015) - [i1]Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan:
Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification. CoRR abs/1507.00110 (2015) - 2014
- [j38]Licheng Jiao, Juanjuan Luo, Ronghua Shang, Fang Liu:
A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems. Appl. Soft Comput. 14: 363-380 (2014) - [j37]Yutao Qi, Xiaoliang Ma, Fang Liu, Licheng Jiao, Jianyong Sun, Jianshe Wu:
MOEA/D with Adaptive Weight Adjustment. Evol. Comput. 22(2): 231-264 (2014) - [j36]Xiaoliang Ma, Fang Liu, Yutao Qi, Lingling Li, Licheng Jiao, Meiyun Liu, Jianshe Wu:
MOEA/D with Baldwinian learning inspired by the regularity property of continuous multiobjective problem. Neurocomputing 145: 336-352 (2014) - [j35]Xiaoliang Ma, Fang Liu, Yutao Qi, Maoguo Gong, Minglei Yin, Lingling Li, Licheng Jiao, Jianshe Wu:
MOEA/D with opposition-based learning for multiobjective optimization problem. Neurocomputing 146: 48-64 (2014) - [j34]Xiaodong Wang, Fang Liu, Licheng Jiao, Jiao Wu, Jianrui Chen:
Incomplete variables truncated conjugate gradient method for signal reconstruction in compressed sensing. Inf. Sci. 288: 387-411 (2014) - [j33]Lin Li, Rustam Stolkin, Licheng Jiao, Fang Liu, Shuang Wang:
A compressed sensing approach for efficient ensemble learning. Pattern Recognit. 47(10): 3451-3465 (2014) - [j32]Leping Lin, Fang Liu, Licheng Jiao:
Compressed sensing by collaborative reconstruction on overcomplete dictionary. Signal Process. 103: 92-102 (2014) - [j31]Xiaoliang Ma, Yutao Qi, Lingling Li, Fang Liu, Licheng Jiao, Jianshe Wu:
MOEA/D with uniform decomposition measurement for many-objective problems. Soft Comput. 18(12): 2541-2564 (2014) - [j30]Kaixuan Rong, Licheng Jiao, Shuang Wang, Fang Liu:
Pansharpening Based on Low-Rank and Sparse Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(12): 4793-4805 (2014) - [j29]Jie Wu, Fang Liu, Licheng Jiao, Xiangrong Zhang, Hongxia Hao, Shuang Wang:
Local Maximal Homogeneous Region Search for SAR Speckle Reduction With Sketch-Based Geometrical Kernel Function. IEEE Trans. Geosci. Remote. Sens. 52(9): 5751-5764 (2014) - [c30]Yutao Qi, Xiaoliang Ma, Minglei Yin, Fang Liu, Jingxuan Wei:
MOEA/D with a delaunay triangulation based weight adjustment. GECCO (Companion) 2014: 93-94 - 2013
- [j28]Zhiguo Zhou, Fang Liu, Licheng Jiao, Lingling Li, Xiao-Dong Wang, Shuiping Gou, Shuang Wang:
Object information based interactive segmentation for fatty tissue extraction. Comput. Biol. Medicine 43(10): 1462-1470 (2013) - [j27]Jingjing Yu, Xiaowei He, Guohua Geng, Fang Liu, Licheng Jiao:
Hybrid Multilevel Sparse Reconstruction for a Whole Domain Bioluminescence Tomography Using Adaptive Finite Element. Comput. Math. Methods Medicine 2013: 548491:1-548491:12 (2013) - [j26]Zheng-Yi Chai, Fang Liu, Yutao Qi, Si-Feng Zhu:
On the use of immune clonal optimization for joint subcarrier and power allocation in OFDMA with proportional fairness rate. Int. J. Commun. Syst. 26(10): 1273-1287 (2013) - [j25]Licheng Jiao, Handing Wang, Ronghua Shang, Fang Liu:
A co-evolutionary multi-objective optimization algorithm based on direction vectors. Inf. Sci. 228: 90-112 (2013) - [j24]Licheng Jiao, Lin Li, Ronghua Shang, Fang Liu, Rustam Stolkin:
A novel selection evolutionary strategy for constrained optimization. Inf. Sci. 239: 122-141 (2013) - [j23]Zhiguo Zhou, Fang Liu, Licheng Jiao, Zhi-Jie Zhou, Jian-Bo Yang, Maoguo Gong, Xiao-Peng Zhang:
A bi-level belief rule based decision support system for diagnosis of lymph node metastasis in gastric cancer. Knowl. Based Syst. 54: 128-136 (2013) - [j22]Zhiguo Zhou, Fang Liu, Licheng Jiao, Zhi-Long Wang, Xiao-Peng Zhang, Xiao-Dong Wang, Xiao-Zhuo Luo:
An evidential reasoning based model for diagnosis of lymph node metastasis in gastric cancer. BMC Medical Informatics Decis. Mak. 13: 123 (2013) - [j21]Yuanyuan Liu, Licheng Jiao, Fanhua Shang, Fei Yin, Fang Liu:
An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion. Neural Networks 48: 8-18 (2013) - [j20]Tao Sun, Licheng Jiao, Fang Liu, Shuang Wang, Jie Feng:
Selective multiple kernel learning for classification with ensemble strategy. Pattern Recognit. 46(11): 3081-3090 (2013) - [j19]Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang:
Multivariate pursuit image reconstruction using prior information beyond sparsity. Signal Process. 93(6): 1662-1672 (2013) - [j18]Fang Liu, Si-Feng Zhu, Zheng-Yi Chai, Yutao Qi, Jian-She Wu:
Immune optimization algorithm for solving vertical handoff decision problem in heterogeneous wireless network. Wirel. Networks 19(4): 507-516 (2013) - [j17]Zheng-Yi Chai, Fang Liu, Yutao Qi, Jian-She Wu:
A Novel Immune Optimization Algorithm for Fairness Resource Allocation in Cognitive Wireless Network. Wirel. Pers. Commun. 69(4): 1671-1687 (2013) - 2012
- [j16]Yutao Qi, Fang Liu, Meiyun Liu, Maoguo Gong, Licheng Jiao:
Multi-objective immune algorithm with Baldwinian learning. Appl. Soft Comput. 12(8): 2654-2674 (2012) - [j15]Si-Feng Zhu, Fang Liu, Yutao Qi, Zheng-Yi Chai, Jian-She Wu:
Immune optimization algorithm for solving joint call admission control problem in next-generation wireless network. Eng. Appl. Artif. Intell. 25(7): 1395-1402 (2012) - [j14]Xiaodong Wang, Fang Liu, Licheng Jiao, Zhiguo Zhou, Jingjing Yu, Bing Li, Jianrui Chen, Jiao Wu, Fanhua Shang:
An evidential reasoning based classification algorithm and its application for face recognition with class noise. Pattern Recognit. 45(12): 4117-4128 (2012) - [j13]Ronghua Shang, Licheng Jiao, Fang Liu, Wenping Ma:
A Novel Immune Clonal Algorithm for MO Problems. IEEE Trans. Evol. Comput. 16(1): 35-50 (2012) - 2011
- [j12]Jingjing Yu, Fang Liu, Licheng Jiao, Shuyuan Yang, Xiaowei He:
A Finite Element Mesh Aggregating Approach to Multiple-Source Reconstruction in Bioluminescence Tomography. Int. J. Biomed. Imaging 2011: 210428:1-210428:12 (2011) - [j11]Dongdong Yang, Licheng Jiao, Maoguo Gong, Fang Liu:
Artificial immune multi-objective SAR image segmentation with fused complementary features. Inf. Sci. 181(13): 2797-2812 (2011) - [j10]Xiaoying Pan, Licheng Jiao, Fang Liu:
An improved multi-agent genetic algorithm for numerical optimization. Nat. Comput. 10(1): 487-506 (2011) - [j9]Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang:
Compressive Sensing SAR Image Reconstruction Based on Bayesian Framework and Evolutionary Computation. IEEE Trans. Image Process. 20(7): 1904-1911 (2011) - [j8]Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang, Biao Hou:
Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using Scale Mixture Models. IEEE Trans. Image Process. 20(12): 3483-3494 (2011) - [c29]Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang:
Interactive MOEA/D for multi-objective decision making. GECCO 2011: 721-728 - 2010
- [j7]Maoguo Gong, Licheng Jiao, Fang Liu, Jie Yang:
Memetic computation based on regulation between neural and immune systems: the framework and a case study. Sci. China Inf. Sci. 53(8): 1519-1527 (2010) - [j6]Maoguo Gong, Licheng Jiao, Jie Yang, Fang Liu:
Lamarckian Learning in Clonal Selection Algorithm for Numerical Optimization. Int. J. Artif. Intell. Tools 19(1): 19-37 (2010) - [j5]Maoguo Gong, Licheng Jiao, Fang Liu, Wenping Ma:
Immune algorithm with orthogonal design based initialization, cloning, and selection for global optimization. Knowl. Inf. Syst. 25(3): 523-549 (2010) - [j4]Wenge Zhang, Fang Liu, Licheng Jiao, Biao Hou, Shuang Wang, Ronghua Shang:
SAR Image Despeckling Using Edge Detection and Feature Clustering in Bandelet Domain. IEEE Geosci. Remote. Sens. Lett. 7(1): 131-135 (2010) - [j3]Xia Chang, Licheng Jiao, Fang Liu, Fangfang Xin:
Multicontourlet-Based Adaptive Fusion of Infrared and Visible Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 7(3): 549-553 (2010) - [j2]Jingjing Yu, Fang Liu, Jiao Wu, Licheng Jiao, Xiaowei He:
Fast Source Reconstruction for Bioluminescence Tomography Based on Sparse Regularization. IEEE Trans. Biomed. Eng. 57(10): 2583-2586 (2010) - [c28]Licheng Jiao, Wei Zhang, Ruochen Liu, Fang Liu:
A hybrid multiobjective immune algorithm with region preference for decision makers. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c27]Fang Liu, Maoguo Gong, Jingjing Ma, Licheng Jiao, Wei Zhang:
Optimizing detector distribution in V-detector negative selection using a constrained multiobjective immune algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c26]Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu:
A multiobjective immune clustering ensemble technique applied to unsupervised SAR image segmentation. CIVR 2010: 158-165 - [c25]Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu, Jingjing Ma:
A sphere-dominance based preference immune-inspired algorithm for dynamic multi-objective optimization. GECCO 2010: 423-430
2000 – 2009
- 2009
- [c24]Yutao Qi, Fang Liu, Licheng Jiao:
A Parallel Artificial Immune Model for Optimization. CIS (1) 2009: 20-24 - [c23]Fang Liu, Yutao Qi, Zhuchang Xia, Hongxia Hao:
Discrete differential evolution algorithm for the job shop scheduling problem. GEC Summit 2009: 879-882 - 2008
- [j1]Xiangrong Zhang, Licheng Jiao, Fang Liu, Liefeng Bo, Maoguo Gong:
Spectral Clustering Ensemble Applied to SAR Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 46(7): 2126-2136 (2008) - 2007
- [c22]Yutao Qi, Fang Liu, Licheng Jiao:
Pheromone Based Dynamic Vaccination for Immune Algorithms. International Conference on Computational Science (4) 2007: 1053-1060 - 2006
- [c21]Fang Liu, Liqi Wei:
A Polyclonal Selection Clustering for Packet Classification. FSKD 2006: 1096-1104 - [c20]Fang Liu, Yun Tian:
Intrusion Detection Based on Clustering Organizational Co-Evolutionary Classification. FSKD 2006: 1113-1120 - [c19]Yangyang Li, Fang Liu:
A Novel Immune Clonal Algorithm. ICNC (2) 2006: 31-40 - [c18]Fang Liu, Yuan Liu, Xi Chen, Jin-shi Wang:
Multi-Agent Immune Clonal Selection Algorithm Based Multicast Routing. ICNC (2) 2006: 319-327 - [c17]Hai-yan Jin, Licheng Jiao, Fang Liu:
A Method of Reducing Speckle Noise of SAR Images Based on Wavelets and Wedgelet HMT Models. ICPR (3) 2006: 635-638 - [c16]Yutao Qi, Xiaoying Pan, Fang Liu, Licheng Jiao:
A Strategy of Mutation History Learning in Immune Clonal Selection Algorithm. SEAL 2006: 72-79 - [c15]Fang Liu, Jing Zhao:
An Immune Clonal Selection Scheduling Algorithm for Input-Queued Switches. SEAL 2006: 790-797 - [c14]Xiaoying Pan, Fang Liu, Licheng Jiao:
A Dynamic Clonal Selection Algorithm for Project Optimization Scheduling. SEAL 2006: 821-828 - 2005
- [c13]Wenping Ma, Licheng Jiao, Maoguo Gong, Fang Liu:
An Novel Artificial Immune Systems Multi-objective Optimization Algorithm for 0/1 Knapsack Problems. CIS (1) 2005: 793-798 - [c12]Fang Liu, Xiaoying Pan:
Key Frame Extraction Based on Evolutionary Artificial Immune Network. CIS (1) 2005: 852-857 - [c11]Fang Liu, Leping Lin:
Unsupervised Anomaly Detection Based on an Evolutionary Artificial Immune Network. EvoWorkshops 2005: 166-174 - [c10]Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu:
Directional self-learning of genetic algorithm. GECCO 2005: 1569-1570 - [c9]Fang Liu, Lan Luo:
Immune Clonal Selection Wavelet Network Based Intrusion Detection. ICANN (1) 2005: 331-336 - [c8]Maoguo Gong, Licheng Jiao, Fang Liu, Haifeng Du:
The Quaternion Model of Artificial Immune Response. ICARIS 2005: 207-219 - [c7]Hai-yan Jin, Xiaohui Yang, Licheng Jiao, Fang Liu:
Image Enhancement via Fusion Based on Laplacian Pyramid Directional Filter Banks. ICIAR 2005: 239-246 - [c6]Fang Liu, Lin Bai, Licheng Jiao:
Intrusion Detection Based on ART and Artificial Immune Network Clustering. ICNC (2) 2005: 780-783 - 2004
- [c5]Fang Liu, Qu Bo, Chen Rongsheng:
Intrusion Detection Based on Immune Clonal Selection Algorithms. Australian Conference on Artificial Intelligence 2004: 1226-1232 - [c4]Ling Wang, Licheng Jiao, Haihong Tao, Fang Liu:
Space-Time Multiuser Detection Combined with Adaptive Wavelet Networks over Multipath Channels. ISNN (2) 2004: 236-241 - [c3]Ling Wang, Haihong Tao, Licheng Jiao, Fang Liu:
Performance Analysis of Recurrent Neural Networks Based Blind Adaptive Multiuser Detection in Asynchronous DS-CDMA Systems. ISNN (2) 2004: 275-280 - [c2]Jing Liu, Weicai Zhong, Fang Liu, Licheng Jiao:
A New Data Mining Method Using Organizational Coevolutionary Mechanism. PAKDD 2004: 196-200 - [c1]Jing Liu, Weicai Zhong, Licheng Jiao, Fang Liu:
Multiobjective Optimization Based on Coevolutionary Algorithm. Rough Sets and Current Trends in Computing 2004: 774-779
Coauthor Index
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