Fengge Wu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 46

Top Topics

Reinforcement Learning

Motion Deblurring

Semantic Segmentation

Top Venues

Wirel. Commun. Mob. Comput.

Publications

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)
Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
Introducing diminutive causal structure into graph representation learning. Knowl. Based Syst. 293 (2024)
Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
Introducing Diminutive Causal Structure into Graph Representation Learning. CoRR (2024)
Jiaguo Yuan, Fengge Wu, Junsuo Zhao
Graph Causal Contrastive for Partial Label Learning. ICIC (LNAI 1) (2024)
Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng
Graph Partial Label Learning with Potential Cause Discovering. CoRR (2024)
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 (2023)
Xingzhe Su, Yijun Lin, Quan Zheng, Fengge Wu, Changwen Zheng, Junsuo Zhao
GSGAN: Learning controllable geospatial images generation. IET Image Process. 17 (2) (2023)
Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation. CoRR (2023)
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 (2023)
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)
Yijun Lin, Xingzhe Su, Fengge Wu, Junsuo Zhao
Exploring Progressive Hybrid-Degraded Image Processing for Homography Estimation. ICASSP (2023)
Chao Li, Fengge Wu, Junsuo Zhao
Offline Reinforcement Learning with Uncertainty Critic Regularization Based on Density Estimation. IJCNN (2023)
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) (2023)
Yijun Lin, Fengge Wu, Junsuo Zhao
Reinforcement learning-based image exposure reconstruction for homography estimation. Appl. Intell. 53 (12) (2023)
Keyu Wu, Fengge Wu, Yijun Lin, Junsuo Zhao
Stable Control Policy and Transferable Reward Function via Inverse Reinforcement Learning. ICCAI (2023)
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 (2023)
Chao Li, Fengge Wu, Junsuo Zhao
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble. IJCNN (2023)
Xingzhe Su, Lingyu Si, Wenwen Qiang, Junzhi Yu, Fengge Wu, Changwen Zheng, Fuchun Sun
Intriguing Property of GAN for Remote Sensing Image Generation. CoRR (2023)
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)
Jiali Yu, Fengge Wu, Junsuo Zhao
Trust Region Method Using K-FAC in Multi-Agent Reinforcement Learning. ACAI (2022)
Yijun Lin, Fengge Wu, Junsuo Zhao
Learning to Generate High-Quality Images for Homography Estimation. ICIP (2022)
Tingting Xu, Fengge Wu, Junsuo Zhao
Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning. ICONIP (1) (2022)
Jian Zhang, Fengge Wu
A Novel Model-Based Reinforcement Learning Attitude Control Method for Virtual Reality Satellite. Wirel. Commun. Mob. Comput. 2021 (2021)
Quan Gan, Fengge Wu, Junsuo Zhao
A Survey of Research on Stability Guarantee of Reinforcement Learning Automatic Control Problem. CRC (2021)
Jian Zhang, Fengge Wu
A Method of Offline Reinforcement Learning Virtual Reality Satellite Attitude Control Based on Generative Adversarial Network. Wirel. Commun. Mob. Comput. 2021 (2021)
Jie Zhu, Fengge Wu, Junsuo Zhao
An Overview of the Action Space for Deep Reinforcement Learning. ACAI (2021)
Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao
IBDNet: Lightweight Network for On-orbit Image Blind Denoising. ICANN (3) (2019)
Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao
A Research and Strategy of Remote Sensing Image Denoising Algorithms. CoRR (2019)
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)
Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. CoRR (2019)
Ke Xu, Fengge Wu, Junsuo Zhao
Model-based deep reinforcement learning with heuristic search for satellite attitude control. Ind. Robot 46 (3) (2019)
Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao
Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation. ICANN (2) (2019)
Yijun Lin, Junxing Hu, Fengge Wu, Junsuo Zhao
Fast Global Motion Estimation on Android-based Software-defined Satellite. ICIS (2019)
Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. ICNC-FSKD (2019)
Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao
A Research and Strategy of Remote Sensing Image Denoising Algorithms. ICNC-FSKD (2019)
Yi Chen, Fengge Wu, Junsuo Zhao
Motion Deblurring via Using Generative Adversarial Networks for Space-Based Imaging. SERA (2018)
Jian Zhang, Fengge Wu, Junsuo Zhao, Fanjiang Xu
A Method of Attitude Control Based on Deep Deterministic Policy Gradient. ICCSIP (2) (2018)
Yanmei Fu, Fengge Wu, Junsuo Zhao
A Research and Strategy of Objection Detection on Remote Sensing Image. SERA (2018)
Yijun Lin, Yuli Xia, Fengge Wu, Junsuo Zhao
Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI. AVSS (2018)
Yanmei Fu, Fengge Wu, Junsuo Zhao
Context-Aware and Depthwise-based Detection on Orbit for Remote Sensing Image. ICPR (2018)
Zhili Ye, Yang Du, Fengge Wu
Graph-based Semi-supervised Classification with CRF and RNN. ICPR (2018)
Zhili Ye, Fengge Wu
Semi-Supervised Classification with Adaptive High-Order Graph Embedding. SERA (2018)
Hailu Wang, Junsuo Zhao, Fengge Wu
Design of High-Resolution Space Imaging System on Sandroid CubeSat using camera array. CISS (2017)
Yuepei Li, Junsuo Zhao, Fengge Wu
Artifact-free high dynamic range imaging based on Sandroid Cubesat with camera array. CISS (2017)
Ke Xu, Fengge Wu
Hybrid Temporal-Difference Algorithm Using Sliding Mode Control and Sigmoid Function. PRICAI (2016)
Xiaoqiang Wu, Fengge Wu, Junsuo Zhao
Motion Deblurring for Space-Based Imaging on Sandroid CubeSats Using Improved Genetic Algorithm. ICCS (2016)
Ke Xu, Fengge Wu, Junsuo Zhao
Simplified online Q-learning for LEGO EV3 robot. ICCSCE (2015)
Fengge Wu, Fuchun Sun, Huaping Liu
A Dual-Model Jumping Fuzzy System Approach to Networked Control Systems Design. Int. J. Neural Syst. 20 (1) (2010)
Fei Long, Fuchun Sun, Fengge Wu
AQoS routing based on heuristic algorithm for Double-Layered Satellite Networks. IEEE Congress on Evolutionary Computation (2008)
Laihong Hu, Fuchun Sun, Hualong Xu, Huaping Liu, Fengge Wu
On-orbit long-range maneuver transfer via EDAs. IEEE Congress on Evolutionary Computation (2008)
Fengge Wu, Fuchun Sun, Ke Yu, Chang-Wen Zheng
Performance evaluation on a double-layered satellite network. Int. J. Satell. Commun. Netw. 23 (6) (2005)
Hongbo Li, Zengqi Sun, Fengge Wu, Fuchun Sun
Optimal Controller Design for a class of Networked Control Systems. HIS (2005)