| 2026 | ACL | CondenseFlow: Scalable Latent Space Collaboration via Semantic Compression for Multi-Agent Systems. | Xiaoyu Chen, Fengge Wu, Junsuo Zhao, Yun Fan |
| 2025 | AAAI | Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. | Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu |
| 2025 | ICASSP | BIAWDiff: Enhancing Low-Light Images with Bio-Inspired Attention and Wavelet Diffusion. | Zeyu Li, Sheng Yang, Hanxiang Yang, Xiongxin Tang, Fengge Wu, Fanjiang Xu |
| 2025 | ICML | LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification. | Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu |
| 2025 | IJCAI | Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning. | Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu |
| 2025 | ICTAI | Bootstrapping Heterophily Graph Representation Learning via a Large Language Model-Based Approach. | Wenxuan Huang, Fengge Wu, Hang Gao, Junsuo Zhao |
| 2025 | ISCAS | MBDS: A MultiBody Dynamics Simulation Dataset for Graph Networks Simulators. | Sheng Yang, Tao Peng, Zeyu Li, Fengge Wu, Junsuo Zhao |
| 2025 | SMC | Group Point Symmetry and Multi-Step Dynamics Prediction for Physical Systems with Graph Neural Networks. | Bingwei Huang, Chenxi Zhang, Sheng Yang, Fengge Wu, Junsuo Zhao |
| 2024 | AAAI | Rethinking Causal Relationships Learning in Graph Neural Networks. | Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu |
| 2024 | IJCNN | An Enhanced Adaptive Filter Pruning Algorithm Utilizing Sparse Group Lasso Penalty. | Lipeng Chen, Daixi Jia, Sheng Yang, Fengge Wu, Junsuo Zhao |
| 2024 | IJCNN | FASN: Feature Aggregate Side-Network for Open-Vocabulary Semantic Segmentation. | Daixi Jia, Lipeng Chen, Xingzhe Su, Fengge Wu, Junsuo Zhao |
| 2024 | IJCNN | Object-aided Generative Adversarial Networks for Remote Sensing Image Generation. | Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng |
| 2024 | IJCNN | Learning Node Representations Under Partial Label Learning. | Jiaguo Yuan, Hang Gao, Fengge Wu, Junsuo Zhao |
| 2024 | SMC | Efficient Channel Search Algorithm for Convolutional Neural Networks Based on Value Density. | Sheng Yang, Lipeng Chen, Jiaguo Yuan, Fengge Wu, Junsuo Zhao |
| 2024 | SMC | GOAT: Learning Multi-Body Dynamics Using Graph Neural Network with Restrains. | Sheng Yang, Daixi Jia, Lipeng Chen, Kunyu Li, Fengge Wu, Junsuo Zhao |
| 2023 | ICANN | SkaNet: Split Kernel Attention Network. | Lipeng Chen, Daixi Jia, Hang Gao, Fengge Wu, Junsuo Zhao |
| 2023 | ICASSP | Exploring Progressive Hybrid-Degraded Image Processing for Homography Estimation. | Yijun Lin, Xingzhe Su, Fengge Wu, Junsuo Zhao |
| 2023 | ICONIP | Introducing Semantic-Based Receptive Field into Semantic Segmentation via Graph Neural Networks. | Daixi Jia, Hang Gao, Xingzhe Su, Fengge Wu, Junsuo Zhao |
| 2023 | IJCNN | Offline Reinforcement Learning with Uncertainty Critic Regularization Based on Density Estimation. | Chao Li, Fengge Wu, Junsuo Zhao |
| 2023 | IJCNN | Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble. | Chao Li, Fengge Wu, Junsuo Zhao |
| 2022 | ICIP | Learning to Generate High-Quality Images for Homography Estimation. | Yijun Lin, Fengge Wu, Junsuo Zhao |
| 2022 | ICONIP | Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning. | Tingting Xu, Fengge Wu, Junsuo Zhao |
| 2019 | ICANN | Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation. | Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao |
| 2019 | ICANN | IBDNet: Lightweight Network for On-orbit Image Blind Denoising. | Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao |
| 2019 | ICNC | A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. | Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao |
| 2019 | ICNC | A Research and Strategy of Remote Sensing Image Denoising Algorithms. | Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao |
| 2019 | ISKE | Design and Implementation of On-orbit Valuable Image Extraction for the TianZhi-1 Satellite. | Yijun Lin, Junxing Hu, Ling Li, Fengge Wu, Junsuo Zhao |
| 2018 | AVSS | Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI. | Yijun Lin, Yuli Xia, Fengge Wu, Junsuo Zhao |
| 2018 | ICPR | Context-Aware and Depthwise-based Detection on Orbit for Remote Sensing Image. | Yanmei Fu, Fengge Wu, Junsuo Zhao |
| 2018 | ICPR | Graph-based Semi-supervised Classification with CRF and RNN. | Zhili Ye, Yang Du, Fengge Wu |
| 2018 | SERA | Motion Deblurring via Using Generative Adversarial Networks for Space-Based Imaging. | Yi Chen, Fengge Wu, Junsuo Zhao |
| 2018 | SERA | A Research and Strategy of Objection Detection on Remote Sensing Image. | Yanmei Fu, Fengge Wu, Junsuo Zhao |
| 2018 | SERA | Semi-Supervised Classification with Adaptive High-Order Graph Embedding. | Zhili Ye, Fengge Wu |
| 2017 | CISS | Artifact-free high dynamic range imaging based on Sandroid Cubesat with camera array. | Yuepei Li, Junsuo Zhao, Fengge Wu |
| 2017 | CISS | Design of High-Resolution Space Imaging System on Sandroid CubeSat using camera array. | Hailu Wang, Junsuo Zhao, Fengge Wu |
| 2016 | ICCS | Motion Deblurring for Space-Based Imaging on Sandroid CubeSats Using Improved Genetic Algorithm. | Xiaoqiang Wu, Fengge Wu, Junsuo Zhao |
| 2016 | PRICAI | Hybrid Temporal-Difference Algorithm Using Sliding Mode Control and Sigmoid Function. | Ke Xu, Fengge Wu |
| 2008 | CEC | On-orbit long-range maneuver transfer via EDAs. | Laihong Hu, Fuchun Sun, Hualong Xu, Huaping Liu, Fengge Wu |
| 2008 | CEC | AQoS routing based on heuristic algorithm for Double-Layered Satellite Networks. | Fei Long, Fuchun Sun, Fengge Wu |
| 2005 | HIS | Optimal Controller Design for a class of Networked Control Systems. | Hongbo Li, Zengqi Sun, Fengge Wu, Fuchun Sun |