Junsuo Zhao

According to our database, Junsuo Zhao authored at least 60 papers between 2012 and 2025.

Collaborative distances:

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

2025

Large Language Model Enhancers for Graph Neural Networks: An Analysis from the Perspective of Causal Mechanism Identification.

Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu

CoRR, May, 2025

Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning.

Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu

CoRR, May, 2025

MBDS: A MultiBody Dynamics Simulation Dataset for Graph Networks Simulators.

Sheng Yang, Tao Peng, Zeyu Li, Fengge Wu, Junsuo Zhao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning.

Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Subequivariant Heterogeneous Graph Network for Physical Dynamics: Modeling and Control.

Bingwei Huang, Chenxi Zhang, Fengge Wu, Junsuo Zhao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach.

Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Manifold Constraint Regularization for Remote Sensing Image Generation.

Xingzhe Su, Changwen Zheng, Wenwen Qiang, Fengge Wu, Junsuo Zhao, Fuchun Sun, Hui Xiong

IEEE Trans. Geosci. Remote. Sens., 2024

MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators.

Sheng Yang, Fengge Wu, Junsuo Zhao

CoRR, 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

GOAT: Learning Multi-Body Dynamics Using Graph Neural Network with Restrains.

Sheng Yang, Daixi Jia, Lipeng Chen, Kunyu Li, Fengge Wu, Junsuo Zhao

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Efficient Channel Search Algorithm for Convolutional Neural Networks Based on Value Density.

Sheng Yang, Lipeng Chen, Jiaguo Yuan, Fengge Wu, Junsuo Zhao

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Molecular Graph Representation Learning via Structural Similarity Information.

Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

YoloGPT: Enhancing Chinese Character Recognition and Correction.

Sheng Yang, Zhanbiao Lian, Kunyu Li, Peilin Liu, Fengge Wu, Junsuo Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Learning Node Representations Under Partial Label Learning.

Jiaguo Yuan, Hang Gao, Fengge Wu, Junsuo Zhao

Proceedings of the International Joint Conference on Neural Networks, 2024

Object-aided Generative Adversarial Networks for Remote Sensing Image Generation.

Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng

Proceedings of the International Joint Conference on Neural Networks, 2024

FASN: Feature Aggregate Side-Network for Open-Vocabulary Semantic Segmentation.

Daixi Jia, Lipeng Chen, Xingzhe Su, Fengge Wu, Junsuo Zhao

Proceedings of the International Joint Conference on Neural Networks, 2024

An Enhanced Adaptive Filter Pruning Algorithm Utilizing Sparse Group Lasso Penalty.

Lipeng Chen, Daixi Jia, Sheng Yang, Fengge Wu, Junsuo Zhao

Proceedings of the International Joint Conference on Neural Networks, 2024

Unbiased Image Synthesis via Manifold Guidance in Diffusion Models.

Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng, Wenwen Qiang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Graph Causal Contrastive for Partial Label Learning.

Jiaguo Yuan, Fengge Wu, Junsuo Zhao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 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

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

SkaNet: Split Kernel Attention Network.

Lipeng Chen, Daixi Jia, Hang Gao, Fengge Wu, Junsuo Zhao

Proceedings of the Artificial Neural Networks and Machine Learning, 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

Multicomponent Spatial-Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data.

Shaohua Liu, Shijun Dai, Jingkai Sun, Tianlu Mao, Junsuo Zhao, Heng Zhang

Comput. Intell. Neurosci., 2021

Research on Key Technologies of Digital Multimedia Passive Forensics.

Xiaoning Lv, Yuli Xia, Junsuo Zhao, Peng Qiao, Bo Zhu

Proceedings of the 7th International Conference on Systems and Informatics, 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

Trust Degree can Preserve Community Structure on Co-evolving Complex Networks in Spatial Generalized Prisoner's Dilemma Game.

Jiayu Zhuang, Xi Yong, Junsuo Zhao, Peng Qiao

Wirel. Pers. Commun., 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

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

Blind deblurring from single motion image based on adaptive weighted total variation algorithm.

Jia Wen, Junsuo Zhao, Cailing Wang, Shuxia Yan, Wen Wang

IET Signal Process., 2016

Compressive sensing for space image compressing.

Zheng Li, Yuli Xia, Ruiqi Ye, Junsuo Zhao

Proceedings of the 2016 International Conference on Intelligent Information Processing, 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

Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression.

Jia Wen, Junsuo Zhao, Caiwen Ma, Cailing Wang

Sci. China Inf. Sci., 2015

Improved morphological component analysis for interference hyperspectral image decomposition.

Jia Wen, Junsuo Zhao, Cailing Wang

Comput. Electr. Eng., 2015

Evolution of quantum strategies on a lattice network.

Heng Zhang, Junsuo Zhao, Wenjun Zhang, Dan Li, Xi Yong, Jiayu Zhuang, Jiajia Liu

Proceedings of the 11th International Conference on Natural Computation, 2015

An Improved Many Worlds Quantum Genetic Algorithm.

Dan Li, Junsuo Zhao, Heng Zhang, Peng Qiao, Jiayu Zhuang

Proceedings of the 11th International Conference on Natural Computation, 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

2012

A Fault-Tolerant Scheduling Algorithm using Hybrid Overloading Technology for Dynamic Grouping based Multiprocessor Systems.

Xingbiao Yu, Junsuo Zhao, Changwen Zheng, Xiaohui Hu

Int. J. Comput. Commun. Control, 2012