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2020 – today
- 2024
[j9]Xingzhe Su, Wenwen Qiang, Jie Hu, Changwen Zheng, Fengge Wu, Fuchun Sun:
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. Int. J. Comput. Vis. 132(11): 5192-5216 (2024)- [j8]Hang Gao
, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng:
Introducing diminutive causal structure into graph representation learning. Knowl. Based Syst. 293: 111592 (2024) - [j7]Xingzhe Su, Changwen Zheng, Wenwen Qiang, Fengge Wu, Junsuo Zhao, Fuchun Sun, Hui Xiong:
Manifold Constraint Regularization for Remote Sensing Image Generation. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [c42]Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu:
Rethinking Causal Relationships Learning in Graph Neural Networks. AAAI 2024: 12145-12154 - [c41]Jiaguo Yuan, Fengge Wu, Junsuo Zhao:
Graph Causal Contrastive for Partial Label Learning. ICIC (LNAI 1) 2024: 132-145 - [c40]Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng, Wenwen Qiang:
Unbiased Image Synthesis via Manifold Guidance in Diffusion Models. ICME 2024: 1-6 - [c39]Lipeng Chen, Daixi Jia, Sheng Yang, Fengge Wu, Junsuo Zhao:
An Enhanced Adaptive Filter Pruning Algorithm Utilizing Sparse Group Lasso Penalty. IJCNN 2024: 1-8 - [c38]Daixi Jia, Lipeng Chen, Xingzhe Su, Fengge Wu, Junsuo Zhao:
FASN: Feature Aggregate Side-Network for Open-Vocabulary Semantic Segmentation. IJCNN 2024: 1-8 - [c37]Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng:
Object-aided Generative Adversarial Networks for Remote Sensing Image Generation. IJCNN 2024: 1-8 - [c36]Jiaguo Yuan, Hang Gao, Fengge Wu, Junsuo Zhao:
Learning Node Representations Under Partial Label Learning. IJCNN 2024: 1-8 - [c35]Sheng Yang, Zhanbiao Lian, Kunyu Li, Peilin Liu, Fengge Wu, Junsuo Zhao:
YoloGPT: Enhancing Chinese Character Recognition and Correction. NLPCC (5) 2024: 377-388 - [c34]Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao:
Molecular Graph Representation Learning via Structural Similarity Information. ECML/PKDD (3) 2024: 351-367 - [i11]Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng:
Graph Partial Label Learning with Potential Cause Discovering. CoRR abs/2403.11449 (2024) - [i10]Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng:
Introducing Diminutive Causal Structure into Graph Representation Learning. CoRR abs/2406.08709 (2024) - [i9]Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao:
Molecular Graph Representation Learning via Structural Similarity Information. CoRR abs/2409.08580 (2024) - [i8]Sheng Yang, Fengge Wu, Junsuo Zhao:
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators. CoRR abs/2410.03107 (2024) - 2023
- [j6]Yijun Lin, Fengge Wu, Junsuo Zhao:
Reinforcement learning-based image exposure reconstruction for homography estimation. Appl. Intell. 53(12): 15442-15458 (2023) - [j5]Xingzhe Su, Yijun Lin, Quan Zheng, Fengge Wu, Changwen Zheng, Junsuo Zhao:
GSGAN: Learning controllable geospatial images generation. IET Image Process. 17(2): 401-417 (2023) - [j4]Yijun Lin, Fengge Wu, Junsuo Zhao:
CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes. Neural Comput. Appl. 35(11): 8227-8241 (2023) - [c33]Lipeng Chen, Daixi Jia, Hang Gao, Fengge Wu, Junsuo Zhao:
SkaNet: Split Kernel Attention Network. ICANN (5) 2023: 459-473 - [c32]Yijun Lin, Xingzhe Su, Fengge Wu, Junsuo Zhao:
Exploring Progressive Hybrid-Degraded Image Processing for Homography Estimation. ICASSP 2023: 1-5 - [c31]Keyu Wu, Fengge Wu, Yijun Lin, Junsuo Zhao:
Stable Control Policy and Transferable Reward Function via Inverse Reinforcement Learning. ICCAI 2023: 733-742 - [c30]Daixi Jia, Hang Gao, Xingzhe Su, Fengge Wu, Junsuo Zhao:
Introducing Semantic-Based Receptive Field into Semantic Segmentation via Graph Neural Networks. ICONIP (6) 2023: 434-451 - [c29]Chao Li, Fengge Wu, Junsuo Zhao:
Offline Reinforcement Learning with Uncertainty Critic Regularization Based on Density Estimation. IJCNN 2023: 1-8 - [c28]Chao Li, Fengge Wu, Junsuo Zhao:
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble. IJCNN 2023: 1-8 - [i7]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Xingzhe Su, Fengge Wu, Changwen Zheng, Fuchun Sun:
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. CoRR abs/2301.08496 (2023) - [i6]Xingzhe Su, Wenwen Qiang, Jie Hu, Fengge Wu, Changwen Zheng, Fuchun Sun:
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. CoRR abs/2303.05240 (2023) - [i5]Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng:
A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation. CoRR abs/2305.19507 (2023) - [i4]Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng:
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation. CoRR abs/2307.08199 (2023) - [i3]Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu:
Rethinking Causal Relationships Learning in Graph Neural Networks. CoRR abs/2312.09613 (2023) - 2022
- [c27]Jiali Yu, Fengge Wu, Junsuo Zhao:
Trust Region Method Using K-FAC in Multi-Agent Reinforcement Learning. ACAI 2022: 45:1-45:7 - [c26]Chao Li, Fengge Wu, Junsuo Zhao:
A Review of Deep Reinforcement Learning Exploration Methods: Prospects and Challenges for Application to Robot Attitude Control Tasks. ICCSIP 2022: 247-273 - [c25]Yijun Lin, Fengge Wu, Junsuo Zhao:
Learning to Generate High-Quality Images for Homography Estimation. ICIP 2022: 3086-3090 - [c24]Tingting Xu, Fengge Wu, Junsuo Zhao:
Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning. ICONIP (1) 2022: 406-417 - 2021
- [c23]Jie Zhu, Fengge Wu, Junsuo Zhao:
An Overview of the Action Space for Deep Reinforcement Learning. ACAI 2021: 52:1-52:10 - [c22]Quan Gan, Fengge Wu, Junsuo Zhao:
A Survey of Research on Stability Guarantee of Reinforcement Learning Automatic Control Problem. CRC 2021: 240-249
2010 – 2019
- 2019
- [j3]Ke Xu, Fengge Wu, Junsuo Zhao:
Model-based deep reinforcement learning with heuristic search for satellite attitude control. Ind. Robot 46(3): 415-420 (2019) - [c21]Yijun Lin, Junxing Hu, Fengge Wu, Junsuo Zhao:
Fast Global Motion Estimation on Android-based Software-defined Satellite. ICIS 2019: 72-76 - [c20]Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao:
IBDNet: Lightweight Network for On-orbit Image Blind Denoising. ICANN (3) 2019: 41-52 - [c19]Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao:
Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation. ICANN (2) 2019: 321-333 - [c18]Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao:
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. ICNC-FSKD 2019: 21-29 - [c17]Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao:
A Research and Strategy of Remote Sensing Image Denoising Algorithms. ICNC-FSKD 2019: 704-712 - [c16]Yijun Lin, Junxing Hu, Ling Li, Fengge Wu, Junsuo Zhao:
Design and Implementation of On-orbit Valuable Image Extraction for the TianZhi-1 Satellite. ISKE 2019: 1076-1080 - [i2]Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao:
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. CoRR abs/1905.10231 (2019) - [i1]Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao:
A Research and Strategy of Remote Sensing Image Denoising Algorithms. CoRR abs/1905.10236 (2019) - 2018
- [c15]Yijun Lin, Yuli Xia, Fengge Wu, Junsuo Zhao:
Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI. AVSS 2018: 1-6 - [c14]Jian Zhang, Fengge Wu, Junsuo Zhao, Fanjiang Xu:
A Method of Attitude Control Based on Deep Deterministic Policy Gradient. ICCSIP (2) 2018: 197-207 - [c13]Zhili Ye, Yang Du, Fengge Wu:
Graph-based Semi-supervised Classification with CRF and RNN. ICPR 2018: 403-408 - [c12]Yanmei Fu, Fengge Wu, Junsuo Zhao:
Context-Aware and Depthwise-based Detection on Orbit for Remote Sensing Image. ICPR 2018: 1725-1730 - [c11]Yi Chen, Fengge Wu, Junsuo Zhao:
Motion Deblurring via Using Generative Adversarial Networks for Space-Based Imaging. SERA 2018: 37-41 - [c10]Yanmei Fu, Fengge Wu, Junsuo Zhao:
A Research and Strategy of Objection Detection on Remote Sensing Image. SERA 2018: 42-47 - [c9]Zhili Ye, Fengge Wu:
Semi-Supervised Classification with Adaptive High-Order Graph Embedding. SERA 2018: 48-53 - 2017
- [c8]Yuepei Li, Junsuo Zhao, Fengge Wu:
Artifact-free high dynamic range imaging based on Sandroid Cubesat with camera array. CISS 2017: 1-6 - [c7]Hailu Wang, Junsuo Zhao, Fengge Wu:
Design of High-Resolution Space Imaging System on Sandroid CubeSat using camera array. CISS 2017: 1-6 - 2016
- [c6]Xiaoqiang Wu, Fengge Wu, Junsuo Zhao:
Motion Deblurring for Space-Based Imaging on Sandroid CubeSats Using Improved Genetic Algorithm. ICCS 2016: 2327-2331 - [c5]Ke Xu, Fengge Wu:
Hybrid Temporal-Difference Algorithm Using Sliding Mode Control and Sigmoid Function. PRICAI 2016: 616-625 - 2015
- [c4]Ke Xu, Fengge Wu, Junsuo Zhao:
Simplified online Q-learning for LEGO EV3 robot. ICCSCE 2015: 77-80 - 2010
- [j2]Fengge Wu, Fuchun Sun, Huaping Liu:
A Dual-Model Jumping Fuzzy System Approach to Networked Control Systems Design. Int. J. Neural Syst. 20(1): 51-62 (2010)
2000 – 2009
- 2008
- [c3]Fei Long, Fuchun Sun, Fengge Wu:
AQoS routing based on heuristic algorithm for Double-Layered Satellite Networks. IEEE Congress on Evolutionary Computation 2008: 1866-1872 - [c2]Laihong Hu, Fuchun Sun, Hualong Xu, Huaping Liu, Fengge Wu:
On-orbit long-range maneuver transfer via EDAs. IEEE Congress on Evolutionary Computation 2008: 2343-2347 - 2005
- [j1]Fengge Wu, Fuchun Sun, Ke Yu, Chang-Wen Zheng:
Performance evaluation on a double-layered satellite network. Int. J. Satell. Commun. Netw. 23(6): 359-371 (2005) - [c1]Hongbo Li, Zengqi Sun, Fengge Wu, Fuchun Sun:
Optimal Controller Design for a class of Networked Control Systems. HIS 2005: 425-430
Coauthor Index
aka: Chang-Wen Zheng
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last updated on 2024-11-19 20:44 CET by the dblp team
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