Optimal Controller Design for a class of Networked Control Systems. - Hongbo Li 001; Zengqi Sun; Fengge Wu; Fuchun Sun 001 (HIS, 2005)

Performance evaluation on a double-layered satellite network. - Fengge Wu; Fuchun Sun 001; Ke Yu; Chang-Wen Zheng (Int. J. Satell. Commun. Netw., 2005)

On-orbit long-range maneuver transfer via EDAs. - Laihong Hu; Fuchun Sun 001; Hualong Xu; Huaping Liu 001; Fengge Wu (IEEE Congress on Evolutionary Computation, 2008)

AQoS routing based on heuristic algorithm for Double-Layered Satellite Networks. - Fei Long; Fuchun Sun 001; Fengge Wu (IEEE Congress on Evolutionary Computation, 2008)

A Dual-Model Jumping Fuzzy System Approach to Networked Control Systems Design. - Fengge Wu; Fuchun Sun 001; Huaping Liu 001 (Int. J. Neural Syst., 2010)

Simplified online Q-learning for LEGO EV3 robot. - Ke Xu; Fengge Wu; Junsuo Zhao (ICCSCE, 2015)

Motion Deblurring for Space-Based Imaging on Sandroid CubeSats Using Improved Genetic Algorithm. - Xiaoqiang Wu; Fengge Wu; Junsuo Zhao (ICCS, 2016)

Hybrid Temporal-Difference Algorithm Using Sliding Mode Control and Sigmoid Function. - Ke Xu; Fengge Wu (PRICAI, 2016)

Artifact-free high dynamic range imaging based on Sandroid Cubesat with camera array. - Yuepei Li; Junsuo Zhao; Fengge Wu (CISS, 2017)

Design of High-Resolution Space Imaging System on Sandroid CubeSat using camera array. - Hailu Wang; Junsuo Zhao; Fengge Wu (CISS, 2017)

Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI. - Yijun Lin 002; Yuli Xia; Fengge Wu; Junsuo Zhao (AVSS, 2018)

A Method of Attitude Control Based on Deep Deterministic Policy Gradient. - Jian Zhang; Fengge Wu; Junsuo Zhao; Fanjiang Xu (ICCSIP (2), 2018)

Context-Aware and Depthwise-based Detection on Orbit for Remote Sensing Image. - Yanmei Fu; Fengge Wu; Junsuo Zhao (ICPR, 2018)

Graph-based Semi-supervised Classification with CRF and RNN. - Zhili Ye; Yang Du; Fengge Wu (ICPR, 2018)

Motion Deblurring via Using Generative Adversarial Networks for Space-Based Imaging. - Yi Chen; Fengge Wu; Junsuo Zhao (SERA, 2018)

A Research and Strategy of Objection Detection on Remote Sensing Image. - Yanmei Fu; Fengge Wu; Junsuo Zhao (SERA, 2018)

Semi-Supervised Classification with Adaptive High-Order Graph Embedding. - Zhili Ye; Fengge Wu (SERA, 2018)

Fast Global Motion Estimation on Android-based Software-defined Satellite. - Yijun Lin 002; Junxing Hu; Fengge Wu; Junsuo Zhao (ICIS, 2019)

Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation. - Junxing Hu; Ling Li 001; Yijun Lin 002; Fengge Wu; Junsuo Zhao (ICANN (2), 2019)

IBDNet: Lightweight Network for On-orbit Image Blind Denoising. - Ling Li 001; Junxing Hu; Yijun Lin 002; Fengge Wu; Junsuo Zhao (ICANN (3), 2019)

A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. - Junxing Hu; Ling Li 001; Yijun Lin 002; Fengge Wu; Junsuo Zhao (ICNC-FSKD, 2019)

A Research and Strategy of Remote Sensing Image Denoising Algorithms. - Ling Li 001; Junxing Hu; Fengge Wu; Junsuo Zhao (ICNC-FSKD, 2019)

Design and Implementation of On-orbit Valuable Image Extraction for the TianZhi-1 Satellite. - Yijun Lin 002; Junxing Hu; Ling Li 001; Fengge Wu; Junsuo Zhao (ISKE, 2019)

Model-based deep reinforcement learning with heuristic search for satellite attitude control. - Ke Xu; Fengge Wu; Junsuo Zhao (Ind. Robot, 2019)

An Overview of the Action Space for Deep Reinforcement Learning. - Jie Zhu; Fengge Wu; Junsuo Zhao (ACAI, 2021)

A Survey of Research on Stability Guarantee of Reinforcement Learning Automatic Control Problem. - Quan Gan; Fengge Wu; Junsuo Zhao (CRC, 2021)

Trust Region Method Using K-FAC in Multi-Agent Reinforcement Learning. - Jiali Yu; Fengge Wu; Junsuo Zhao (ACAI, 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 (ICCSIP, 2022)

Learning to Generate High-Quality Images for Homography Estimation. - Yijun Lin 002; Fengge Wu; Junsuo Zhao (ICIP, 2022)

Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning. - Tingting Xu; Fengge Wu; Junsuo Zhao (ICONIP (1), 2022)

SkaNet: Split Kernel Attention Network. - Lipeng Chen; Daixi Jia; Hang Gao 004; Fengge Wu; Junsuo Zhao (ICANN (5), 2023)

Exploring Progressive Hybrid-Degraded Image Processing for Homography Estimation. - Yijun Lin 002; Xingzhe Su; Fengge Wu; Junsuo Zhao (ICASSP, 2023)

Stable Control Policy and Transferable Reward Function via Inverse Reinforcement Learning. - Keyu Wu; Fengge Wu; Yijun Lin 002; Junsuo Zhao (ICCAI, 2023)

Introducing Semantic-Based Receptive Field into Semantic Segmentation via Graph Neural Networks. - Daixi Jia; Hang Gao 004; Xingzhe Su; Fengge Wu; Junsuo Zhao (ICONIP (6), 2023)

Offline Reinforcement Learning with Uncertainty Critic Regularization Based on Density Estimation. - Chao Li; Fengge Wu; Junsuo Zhao (IJCNN, 2023)

Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble. - Chao Li; Fengge Wu; Junsuo Zhao (IJCNN, 2023)

Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Xingzhe Su; Fengge Wu; Changwen Zheng; Fuchun Sun 001 (CoRR, 2023)

A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation. - Xingzhe Su; Wenwen Qiang; Zeen Song; Hang Gao 004; Fengge Wu; Changwen Zheng (CoRR, 2023)

Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation. - Xingzhe Su; Wenwen Qiang; Zeen Song; Hang Gao 004; Fengge Wu; Changwen Zheng (CoRR, 2023)

GSGAN: Learning controllable geospatial images generation. - Xingzhe Su; Yijun Lin 002; Quan Zheng 004; Fengge Wu; Changwen Zheng; Junsuo Zhao (IET Image Process., 2023)

CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes. - Yijun Lin 002; Fengge Wu; Junsuo Zhao (Neural Comput. Appl., 2023)

Reinforcement learning-based image exposure reconstruction for homography estimation. - Yijun Lin 002; Fengge Wu; Junsuo Zhao (Appl. Intell., 2023)

Rethinking Causal Relationships Learning in Graph Neural Networks. - Hang Gao 004; Chengyu Yao; Jiangmeng Li; Lingyu Si; Yifan Jin; Fengge Wu; Changwen Zheng; Huaping Liu 001 (AAAI, 2024)

Graph Causal Contrastive for Partial Label Learning. - Jiaguo Yuan; Fengge Wu; Junsuo Zhao (ICIC (LNAI 1), 2024)

Unbiased Image Synthesis via Manifold Guidance in Diffusion Models. - Xingzhe Su; Daixi Jia; Fengge Wu; Junsuo Zhao; Changwen Zheng; Wenwen Qiang (ICME, 2024)

An Enhanced Adaptive Filter Pruning Algorithm Utilizing Sparse Group Lasso Penalty. - Lipeng Chen; Daixi Jia; Sheng Yang; Fengge Wu; Junsuo Zhao (IJCNN, 2024)

FASN: Feature Aggregate Side-Network for Open-Vocabulary Semantic Segmentation. - Daixi Jia; Lipeng Chen; Xingzhe Su; Fengge Wu; Junsuo Zhao (IJCNN, 2024)

Object-aided Generative Adversarial Networks for Remote Sensing Image Generation. - Xingzhe Su; Daixi Jia; Fengge Wu; Junsuo Zhao; Changwen Zheng (IJCNN, 2024)

Learning Node Representations Under Partial Label Learning. - Jiaguo Yuan; Hang Gao 004; Fengge Wu; Junsuo Zhao (IJCNN, 2024)

YoloGPT: Enhancing Chinese Character Recognition and Correction. - Sheng Yang; Zhanbiao Lian; Kunyu Li; Peilin Liu; Fengge Wu; Junsuo Zhao (NLPCC (5), 2024)

Molecular Graph Representation Learning via Structural Similarity Information. - Chengyu Yao; Hong Huang 004; Hang Gao 004; Fengge Wu; Haiming Chen 001; Junsuo Zhao (ECML/PKDD (3), 2024)

Efficient Channel Search Algorithm for Convolutional Neural Networks Based on Value Density. - Sheng Yang; Lipeng Chen; Jiaguo Yuan; Fengge Wu; Junsuo Zhao (SMC, 2024)

GOAT: Learning Multi-Body Dynamics Using Graph Neural Network with Restrains. - Sheng Yang; Daixi Jia; Lipeng Chen; Kunyu Li; Fengge Wu; Junsuo Zhao (SMC, 2024)

Graph Partial Label Learning with Potential Cause Discovering. - Hang Gao 004; Jiaguo Yuan; Jiangmeng Li; Chengyu Yao; Fengge Wu; Junsuo Zhao; Changwen Zheng (CoRR, 2024)

MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators. - Sheng Yang; Fengge Wu; Junsuo Zhao (CoRR, 2024)

Introducing diminutive causal structure into graph representation learning. - Hang Gao 004; Peng Qiao; Yifan Jin; Fengge Wu; Jiangmeng Li; Changwen Zheng (Knowl. Based Syst., 2024)

Manifold Constraint Regularization for Remote Sensing Image Generation. - Xingzhe Su; Changwen Zheng; Wenwen Qiang; Fengge Wu; Junsuo Zhao; Fuchun Sun 001; Hui Xiong 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. - Xingzhe Su; Wenwen Qiang; Jie Hu 019; Changwen Zheng; Fengge Wu; Fuchun Sun 001 (Int. J. Comput. Vis., 2024)

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. - Hang Gao 004; Chenhao Zhang; Fengge Wu; Changwen Zheng; Junsuo Zhao; Huaping Liu 001 (AAAI, 2025)

BIAWDiff: Enhancing Low-Light Images with Bio-Inspired Attention and Wavelet Diffusion. - Zeyu Li; Sheng Yang; Hanxiang Yang; Xiongxin Tang; Fengge Wu; Fanjiang Xu (ICASSP, 2025)

Subequivariant Heterogeneous Graph Network for Physical Dynamics: Modeling and Control. - Bingwei Huang; Chenxi Zhang; Fengge Wu; Junsuo Zhao (ICIC (9), 2025)

MBDS: A MultiBody Dynamics Simulation Dataset for Graph Networks Simulators. - Sheng Yang; Tao Peng; Zeyu Li; Fengge Wu; Junsuo Zhao (ISCAS, 2025)

Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning. - Hang Gao 004; Chenhao Zhang; Tie Wang; Junsuo Zhao; Fengge Wu; Changwen Zheng; Huaping Liu 001 (CoRR, 2025)

Large Language Model Enhancers for Graph Neural Networks: An Analysis from the Perspective of Causal Mechanism Identification. - Hang Gao 004; Wenxuan Huang; Fengge Wu; Junsuo Zhao; Changwen Zheng; Huaping Liu 001 (CoRR, 2025)