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Hao-Nan Guo
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2020 – today
- 2024
- [j18]Gengzhen Qi
, Haonan Guo
A BW-Extended Fourth-Order Gain-Boosted N-Path Filter Employing a Switched gₘ-C Network. IEEE J. Solid State Circuits 59(10): 3183-3191 (2024) - [j17]Di Wang
MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11632-11654 (2024) - [j16]Haonan Guo
Building-Road Collaborative Extraction From Remote Sensing Images via Cross-Task and Cross-Scale Interaction. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j15]Jiaqi Wang, Haonan Guo
PCDASNet: Position-Constrained Differential Attention Siamese Network for Building Damage Assessment. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j14]Haonan Guo
SAAN: Similarity-Aware Attention Flow Network for Change Detection With VHR Remote Sensing Images. IEEE Trans. Image Process. 33: 2599-2613 (2024) - [c9]Haonan Guo, Xin Su, Chen Wu, Bo Du, Liangpei Zhang, Deren Li:
Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models. IGARSS 2024: 11474-11478 - [i9]Haonan Guo, Xin Su, Chen Wu, Bo Du, Liangpei Zhang, Deren Li:
Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models. CoRR abs/2401.09083 (2024) - [i8]Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang:
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining. CoRR abs/2403.13430 (2024) - [i7]Chengxi Han, Chen Wu, Haonan Guo, Meiqi Hu, Hongruixuan Chen:
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images. CoRR abs/2404.09178 (2024) - [i6]Chengxi Han, Chen Wu, Haonan Guo, Meiqi Hu, Jiepan Li, Hongruixuan Chen:
Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery. CoRR abs/2404.09179 (2024) - 2023
- [j13]Chengxi Han
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3867-3878 (2023) - [j12]Chengxi Han
Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8395-8407 (2023) - [j11]Haonan Guo
Decoupling Semantic and Edge Representations for Building Footprint Extraction From Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [i5]Haonan Guo, Bo Du, Chen Wu, Chengxi Han, Liangpei Zhang:
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space. CoRR abs/2307.12208 (2023) - [i4]Haonan Guo, Bo Du, Chen Wu, Xin Su, Liangpei Zhang:
Expediting Building Footprint Segmentation from High-resolution Remote Sensing Images via progressive lenient supervision. CoRR abs/2307.12220 (2023) - [i3]Haonan Guo, Xin Su, Chen Wu, Bo Du, Liangpei Zhang:
Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction. CoRR abs/2307.12256 (2023) - [i2]Haonan Guo, Xin Su, Chen Wu, Bo Du, Liangpei Zhang:
SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images. CoRR abs/2308.14570 (2023) - 2022
- [j10]Bingjie Yang, Yuancheng Huang, Xin Su
MAEANet: Multiscale Attention and Edge-Aware Siamese Network for Building Change Detection in High-Resolution Remote Sensing Images. Remote. Sens. 14(19): 4895 (2022) - [c8]Haonan Guo
Research on Recognition Method of Floating Objects on Water Surface Based on improved ResNet. EITCE 2022: 1603-1608 - 2021
- [j9]Chen Wu
An investigation of traffic density changes inside Wuhan during the COVID-19 epidemic with GF-2 time-series images. Int. J. Appl. Earth Obs. Geoinformation 103: 102503 (2021) - [j8]Haonan Guo
Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10091-10100 (2021) - [j7]Haonan Guo
Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(5): 4287-4306 (2021) - [j6]Haonan Guo
Correction to "Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images". IEEE Trans. Geosci. Remote. Sens. 59(6): 5387 (2021) - [j5]Farui Wang, Weizhe Zhang
Automatic translation of data parallel programs for heterogeneous parallelism through OpenMP offloading. J. Supercomput. 77(5): 4957-4987 (2021) - 2020
- [j4]Haonan Guo
Learning Automata Based Competition Scheme to Train Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 151-158 (2020)
2010 – 2019
- 2019
- [j3]Haonan Guo
Learning Automata Based Incremental Learning Method for Deep Neural Networks. IEEE Access 7: 41164-41171 (2019) - [j2]Wenwen Xia
Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks. IEEE Access 7: 157807-157817 (2019) - [c7]Hui Zhan, Shenghong Li, Haonan Guo:
A Deep Deformable Convolutional Method for Age-Invariant Face Recognition. CSPS 2019: 2029-2037 - [c6]Kehang Chen, Jidong Lv, Jia Huang, Haonan Guo, Shuai Su, Tao Tang:
Online Conformance Testing of CBTC On-board ATO Functions Based on UPPAAL-TRON Framework. ITSC 2019: 3334-3339 - 2018
- [j1]Haonan Guo
A New Learning Automata-Based Pruning Method to Train Deep Neural Networks. IEEE Internet Things J. 5(5): 3263-3269 (2018) - [c5]Shuai Feng, Haonan Guo, Jichao Yang, Zhengwu Xu, Shenghong Li:
A Learning Automata-Based Compression Scheme for Convolutional Neural Network. CSPS (3) 2018: 42-49 - [c4]Haonan Guo, Zhicong Yan, Jichao Yang, Shenghong Li:
An Incremental Scheme with Weight Pruning to Train Deep Neural Network. CSPS (3) 2018: 295-302 - [i1]Fangqi Li, Xu-Die Ren, Hao-Nan Guo:
Probabilistic Model of Object Detection Based on Convolutional Neural Network. CoRR abs/1808.08272 (2018) - 2017
- [c3]Fangqi Li, Xu-Die Ren, Hao-Nan Guo:
Probabilistic Model of Object Detection Based on Convolutional Neural Network. CSPS 2017: 2059-2066 - [c2]Xudie Ren, Haonan Guo, Shenghong Li, Shilin Wang, Jianhua Li:
A Novel Image Classification Method with CNN-XGBoost Model. IWDW 2017: 378-390 - 2016
- [c1]Xu-Die Ren, Hao-Nan Guo, Guan-Chen He, Xu Xu, Chong Di, Sheng-Hong Li:
Convolutional Neural Network Based on Principal Component Analysis Initialization for Image Classification. DSC 2016: 329-334
Coauthor Index
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last updated on 2024-10-10 21:16 CEST by the dblp team
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