Fengge Wu

According to our database, Fengge Wu authored at least 44 papers between 2005 and 2024.

Collaborative distances:

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

2024

Graph Partial Label Learning with Potential Cause Discovering.

Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng

CoRR, 2024

Rethinking Causal Relationships Learning in Graph Neural Networks.

Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu

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

2023

Reinforcement learning-based image exposure reconstruction for homography estimation.

Yijun Lin, Fengge Wu, Junsuo Zhao

Appl. Intell., June, 2023

CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes.

Yijun Lin, Fengge Wu, Junsuo Zhao

Neural Comput. Appl., April, 2023

GSGAN: Learning controllable geospatial images generation.

Xingzhe Su, Yijun Lin, Quan Zheng, Fengge Wu, Changwen Zheng, Junsuo Zhao

IET Image Process., February, 2023

Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation.

Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng

CoRR, 2023

A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation.

Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng

CoRR, 2023

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation.

Xingzhe Su, Wenwen Qiang, Jie Hu, Fengge Wu, Changwen Zheng, Fuchun Sun

CoRR, 2023

Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective.

Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Xingzhe Su, Fengge Wu, Changwen Zheng, Fuchun Sun

CoRR, 2023

Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble.

Chao Li, Fengge Wu, Junsuo Zhao

Proceedings of the International Joint Conference on Neural Networks, 2023

Offline Reinforcement Learning with Uncertainty Critic Regularization Based on Density Estimation.

Chao Li, Fengge Wu, Junsuo Zhao

Proceedings of the International Joint Conference on Neural Networks, 2023

Introducing Semantic-Based Receptive Field into Semantic Segmentation via Graph Neural Networks.

Daixi Jia, Hang Gao, Xingzhe Su, Fengge Wu, Junsuo Zhao

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Stable Control Policy and Transferable Reward Function via Inverse Reinforcement Learning.

Keyu Wu, Fengge Wu, Yijun Lin, Junsuo Zhao

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Exploring Progressive Hybrid-Degraded Image Processing for Homography Estimation.

Yijun Lin, Xingzhe Su, Fengge Wu, Junsuo Zhao

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning.

Tingting Xu, Fengge Wu, Junsuo Zhao

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Learning to Generate High-Quality Images for Homography Estimation.

Yijun Lin, Fengge Wu, Junsuo Zhao

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Review of Deep Reinforcement Learning Exploration Methods: Prospects and Challenges for Application to Robot Attitude Control Tasks.

Chao Li, Fengge Wu, Junsuo Zhao

Proceedings of the Cognitive Systems and Information Processing, 2022

Trust Region Method Using K-FAC in Multi-Agent Reinforcement Learning.

Jiali Yu, Fengge Wu, Junsuo Zhao

Proceedings of the 5th International Conference on Algorithms, 2022

2021

A Survey of Research on Stability Guarantee of Reinforcement Learning Automatic Control Problem.

Quan Gan, Fengge Wu, Junsuo Zhao

Proceedings of the 6th International Conference on Control, Robotics and Cybernetics, 2021

An Overview of the Action Space for Deep Reinforcement Learning.

Jie Zhu, Fengge Wu, Junsuo Zhao

Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2019

Model-based deep reinforcement learning with heuristic search for satellite attitude control.

Ke Xu, Fengge Wu, Junsuo Zhao

Ind. Robot, 2019

Design and Implementation of On-orbit Valuable Image Extraction for the TianZhi-1 Satellite.

Yijun Lin, Junxing Hu, Ling Li, Fengge Wu, Junsuo Zhao

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

A Research and Strategy of Remote Sensing Image Denoising Algorithms.

Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images.

Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

IBDNet: Lightweight Network for On-orbit Image Blind Denoising.

Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation.

Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Fast Global Motion Estimation on Android-based Software-defined Satellite.

Yijun Lin, Junxing Hu, Fengge Wu, Junsuo Zhao

Proceedings of the 18th IEEE/ACIS International Conference on Computer and Information Science, 2019

2018

Semi-Supervised Classification with Adaptive High-Order Graph Embedding.

Zhili Ye, Fengge Wu

Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018

A Research and Strategy of Objection Detection on Remote Sensing Image.

Yanmei Fu, Fengge Wu, Junsuo Zhao

Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018

Motion Deblurring via Using Generative Adversarial Networks for Space-Based Imaging.

Yi Chen, Fengge Wu, Junsuo Zhao

Proceedings of the 16th IEEE International Conference on Software Engineering Research, 2018

Graph-based Semi-supervised Classification with CRF and RNN.

Zhili Ye, Yang Du, Fengge Wu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Context-Aware and Depthwise-based Detection on Orbit for Remote Sensing Image.

Yanmei Fu, Fengge Wu, Junsuo Zhao

Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Method of Attitude Control Based on Deep Deterministic Policy Gradient.

Jian Zhang, Fengge Wu, Junsuo Zhao, Fanjiang Xu

Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI.

Yijun Lin, Yuli Xia, Fengge Wu, Junsuo Zhao

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017

Design of High-Resolution Space Imaging System on Sandroid CubeSat using camera array.

Hailu Wang, Junsuo Zhao, Fengge Wu

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Artifact-free high dynamic range imaging based on Sandroid Cubesat with camera array.

Yuepei Li, Junsuo Zhao, Fengge Wu

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2016

Hybrid Temporal-Difference Algorithm Using Sliding Mode Control and Sigmoid Function.

Ke Xu, Fengge Wu

Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Motion Deblurring for Space-Based Imaging on Sandroid CubeSats Using Improved Genetic Algorithm.

Xiaoqiang Wu, Fengge Wu, Junsuo Zhao

Proceedings of the International Conference on Computational Science 2016, 2016

2015

Simplified online Q-learning for LEGO EV3 robot.

Ke Xu, Fengge Wu, Junsuo Zhao

Proceedings of the 2015 IEEE International Conference on Control System, 2015

2010

A Dual-Model Jumping Fuzzy System Approach to Networked Control Systems Design.

Fengge Wu, Fuchun Sun, Huaping Liu

Int. J. Neural Syst., 2010

2008

AQoS routing based on heuristic algorithm for Double-Layered Satellite Networks.

Fei Long, Fuchun Sun, Fengge Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

On-orbit long-range maneuver transfer via EDAs.

Laihong Hu, Fuchun Sun, Hualong Xu, Huaping Liu, Fengge Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2005

Performance evaluation on a double-layered satellite network.

Fengge Wu, Fuchun Sun, Ke Yu, Chang-Wen Zheng

Int. J. Satell. Commun. Netw., 2005

Optimal Controller Design for a class of Networked Control Systems.

Hongbo Li, Zengqi Sun, Fengge Wu, Fuchun Sun

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005