Fengge Wu - RankMe

77 papers A* 4A 1B 17C 6Misc 6Journal 25Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Front-Door Adjustment for Robust Jailbreak Attacks on LLMs. CoRR Yao Zhou, Zeen Song, Wenwen Qiang, Fengge Wu, Shuyi Zhou, Changwen Zheng, Hui Xiong
2026	J	`jnl`	Efficient Code Analysis via Graph-Guided Large Language Models. CoRR Hang Gao, Tao Peng, Baoquan Cui, Hong Huang, Fengge Wu, Junsuo Zhao, Jian Zhang
2025	Misc	`conf`	BIAWDiff: Enhancing Low-Light Images with Bio-Inspired Attention and Wavelet Diffusion. ICASSP Zeyu Li, Sheng Yang, Hanxiang Yang, Xiongxin Tang, Fengge Wu, Fanjiang Xu
2025	A*	`conf`	Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. AAAI Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu
2025	B	`conf`	Bootstrapping Heterophily Graph Representation Learning via a Large Language Model-Based Approach. ICTAI Wenxuan Huang, Fengge Wu, Hang Gao, Junsuo Zhao
2025	B	`conf`	Group Point Symmetry and Multi-Step Dynamics Prediction for Physical Systems with Graph Neural Networks. SMC Bingwei Huang, Chenxi Zhang, Sheng Yang, Fengge Wu, Junsuo Zhao
2025	A*	`conf`	LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification. ICML Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu
2025	J	`jnl`	Large Language Model Enhancers for Graph Neural Networks: An Analysis from the Perspective of Causal Mechanism Identification. CoRR Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu
2025	A*	`conf`	Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning. IJCAI Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu
2025	J	`jnl`	Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning. CoRR Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu
2025	C	`conf`	MBDS: A MultiBody Dynamics Simulation Dataset for Graph Networks Simulators. ISCAS Sheng Yang, Tao Peng, Zeyu Li, Fengge Wu, Junsuo Zhao
2025	—	`conf`	Subequivariant Heterogeneous Graph Network for Physical Dynamics: Modeling and Control. ICIC (9) Bingwei Huang, Chenxi Zhang, Fengge Wu, Junsuo Zhao
2024	B	`conf`	An Enhanced Adaptive Filter Pruning Algorithm Utilizing Sparse Group Lasso Penalty. IJCNN Lipeng Chen, Daixi Jia, Sheng Yang, Fengge Wu, Junsuo Zhao
2024	J	`jnl`	Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach. CoRR Hang Gao, Chenhao Zhang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu
2024	B	`conf`	Efficient Channel Search Algorithm for Convolutional Neural Networks Based on Value Density. SMC Sheng Yang, Lipeng Chen, Jiaguo Yuan, Fengge Wu, Junsuo Zhao
2024	B	`conf`	FASN: Feature Aggregate Side-Network for Open-Vocabulary Semantic Segmentation. IJCNN Daixi Jia, Lipeng Chen, Xingzhe Su, Fengge Wu, Junsuo Zhao
2024	B	`conf`	GOAT: Learning Multi-Body Dynamics Using Graph Neural Network with Restrains. SMC Sheng Yang, Daixi Jia, Lipeng Chen, Kunyu Li, Fengge Wu, Junsuo Zhao
2024	—	`conf`	Graph Causal Contrastive for Partial Label Learning. ICIC (LNAI 1) Jiaguo Yuan, Fengge Wu, Junsuo Zhao
2024	J	`jnl`	Graph Partial Label Learning with Potential Cause Discovering. CoRR Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng
2024	J	`jnl`	Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. Int. J. Comput. Vis. Xingzhe Su, Wenwen Qiang, Jie Hu, Changwen Zheng, Fengge Wu, Fuchun Sun
2024	J	`jnl`	Introducing Diminutive Causal Structure into Graph Representation Learning. CoRR Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
2024	J	`jnl`	Introducing diminutive causal structure into graph representation learning. Knowl. Based Syst. Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
2024	B	`conf`	Learning Node Representations Under Partial Label Learning. IJCNN Jiaguo Yuan, Hang Gao, Fengge Wu, Junsuo Zhao
2024	J	`jnl`	MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators. CoRR Sheng Yang, Fengge Wu, Junsuo Zhao
2024	J	`jnl`	Manifold Constraint Regularization for Remote Sensing Image Generation. IEEE Trans. Geosci. Remote. Sens. Xingzhe Su, Changwen Zheng, Wenwen Qiang, Fengge Wu, Junsuo Zhao, Fuchun Sun, Hui Xiong
2024	—	`conf`	Molecular Graph Representation Learning via Structural Similarity Information. ECML/PKDD (3) Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao
2024	J	`jnl`	Molecular Graph Representation Learning via Structural Similarity Information. CoRR Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao
2024	B	`conf`	Object-aided Generative Adversarial Networks for Remote Sensing Image Generation. IJCNN Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng
2024	A*	`conf`	Rethinking Causal Relationships Learning in Graph Neural Networks. AAAI Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu
2024	A	`conf`	Unbiased Image Synthesis via Manifold Guidance in Diffusion Models. ICME Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng, Wenwen Qiang
2024	—	`conf`	YoloGPT: Enhancing Chinese Character Recognition and Correction. NLPCC (5) Sheng Yang, Zhanbiao Lian, Kunyu Li, Peilin Liu, Fengge Wu, Junsuo Zhao
2023	J	`jnl`	A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation. CoRR Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
2023	B	`conf`	Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble. IJCNN Chao Li, Fengge Wu, Junsuo Zhao
2023	J	`jnl`	CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes. Neural Comput. Appl. Yijun Lin, Fengge Wu, Junsuo Zhao
2023	Misc	`conf`	Exploring Progressive Hybrid-Degraded Image Processing for Homography Estimation. ICASSP Yijun Lin, Xingzhe Su, Fengge Wu, Junsuo Zhao
2023	J	`jnl`	GSGAN: Learning controllable geospatial images generation. IET Image Process. Xingzhe Su, Yijun Lin, Quan Zheng, Fengge Wu, Changwen Zheng, Junsuo Zhao
2023	J	`jnl`	Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. CoRR Xingzhe Su, Wenwen Qiang, Jie Hu, Fengge Wu, Changwen Zheng, Fuchun Sun
2023	J	`jnl`	Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. CoRR Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Xingzhe Su, Fengge Wu, Changwen Zheng, Fuchun Sun
2023	—	`conf`	Introducing Semantic-Based Receptive Field into Semantic Segmentation via Graph Neural Networks. ICONIP (6) Daixi Jia, Hang Gao, Xingzhe Su, Fengge Wu, Junsuo Zhao
2023	J	`jnl`	Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation. CoRR Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
2023	B	`conf`	Offline Reinforcement Learning with Uncertainty Critic Regularization Based on Density Estimation. IJCNN Chao Li, Fengge Wu, Junsuo Zhao
2023	J	`jnl`	Reinforcement learning-based image exposure reconstruction for homography estimation. Appl. Intell. Yijun Lin, Fengge Wu, Junsuo Zhao
2023	J	`jnl`	Rethinking Causal Relationships Learning in Graph Neural Networks. CoRR Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu
2023	—	`conf`	SkaNet: Split Kernel Attention Network. ICANN (5) Lipeng Chen, Daixi Jia, Hang Gao, Fengge Wu, Junsuo Zhao
2023	—	`conf`	Stable Control Policy and Transferable Reward Function via Inverse Reinforcement Learning. ICCAI Keyu Wu, Fengge Wu, Yijun Lin, Junsuo Zhao
2022	—	`conf`	A Review of Deep Reinforcement Learning Exploration Methods: Prospects and Challenges for Application to Robot Attitude Control Tasks. ICCSIP Chao Li, Fengge Wu, Junsuo Zhao
2022	—	`conf`	Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning. ICONIP (1) Tingting Xu, Fengge Wu, Junsuo Zhao
2022	B	`conf`	Learning to Generate High-Quality Images for Homography Estimation. ICIP Yijun Lin, Fengge Wu, Junsuo Zhao
2022	—	`conf`	Trust Region Method Using K-FAC in Multi-Agent Reinforcement Learning. ACAI Jiali Yu, Fengge Wu, Junsuo Zhao
2021	—	`conf`	A Survey of Research on Stability Guarantee of Reinforcement Learning Automatic Control Problem. CRC Quan Gan, Fengge Wu, Junsuo Zhao
2021	—	`conf`	An Overview of the Action Space for Deep Reinforcement Learning. ACAI Jie Zhu, Fengge Wu, Junsuo Zhao
2019	—	`conf`	A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. ICNC-FSKD Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao
2019	J	`jnl`	A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images. CoRR Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao
2019	—	`conf`	A Research and Strategy of Remote Sensing Image Denoising Algorithms. ICNC-FSKD Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao
2019	J	`jnl`	A Research and Strategy of Remote Sensing Image Denoising Algorithms. CoRR Ling Li, Junxing Hu, Fengge Wu, Junsuo Zhao
2019	Misc	`conf`	Design and Implementation of On-orbit Valuable Image Extraction for the TianZhi-1 Satellite. ISKE Yijun Lin, Junxing Hu, Ling Li, Fengge Wu, Junsuo Zhao
2019	C	`conf`	Fast Global Motion Estimation on Android-based Software-defined Satellite. ICIS Yijun Lin, Junxing Hu, Fengge Wu, Junsuo Zhao
2019	—	`conf`	IBDNet: Lightweight Network for On-orbit Image Blind Denoising. ICANN (3) Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao
2019	—	`conf`	Light-Weight Edge Enhanced Network for On-orbit Semantic Segmentation. ICANN (2) Junxing Hu, Ling Li, Yijun Lin, Fengge Wu, Junsuo Zhao
2019	J	`jnl`	Model-based deep reinforcement learning with heuristic search for satellite attitude control. Ind. Robot Ke Xu, Fengge Wu, Junsuo Zhao
2018	—	`conf`	A Method of Attitude Control Based on Deep Deterministic Policy Gradient. ICCSIP (2) Jian Zhang, Fengge Wu, Junsuo Zhao, Fanjiang Xu
2018	C	`conf`	A Research and Strategy of Objection Detection on Remote Sensing Image. SERA Yanmei Fu, Fengge Wu, Junsuo Zhao
2018	B	`conf`	Context-Aware and Depthwise-based Detection on Orbit for Remote Sensing Image. ICPR Yanmei Fu, Fengge Wu, Junsuo Zhao
2018	B	`conf`	Graph-based Semi-supervised Classification with CRF and RNN. ICPR Zhili Ye, Yang Du, Fengge Wu
2018	B	`conf`	Local Computation with Adaptive Spatial Clustering for Multi-Size Motion Patch Proposals in WAMI. AVSS Yijun Lin, Yuli Xia, Fengge Wu, Junsuo Zhao
2018	C	`conf`	Motion Deblurring via Using Generative Adversarial Networks for Space-Based Imaging. SERA Yi Chen, Fengge Wu, Junsuo Zhao
2018	C	`conf`	Semi-Supervised Classification with Adaptive High-Order Graph Embedding. SERA Zhili Ye, Fengge Wu
2017	Misc	`conf`	Artifact-free high dynamic range imaging based on Sandroid Cubesat with camera array. CISS Yuepei Li, Junsuo Zhao, Fengge Wu
2017	Misc	`conf`	Design of High-Resolution Space Imaging System on Sandroid CubeSat using camera array. CISS Hailu Wang, Junsuo Zhao, Fengge Wu
2016	B	`conf`	Hybrid Temporal-Difference Algorithm Using Sliding Mode Control and Sigmoid Function. PRICAI Ke Xu, Fengge Wu
2016	Misc	`conf`	Motion Deblurring for Space-Based Imaging on Sandroid CubeSats Using Improved Genetic Algorithm. ICCS Xiaoqiang Wu, Fengge Wu, Junsuo Zhao
2015	—	`conf`	Simplified online Q-learning for LEGO EV3 robot. ICCSCE Ke Xu, Fengge Wu, Junsuo Zhao
2010	J	`jnl`	A Dual-Model Jumping Fuzzy System Approach to Networked Control Systems Design. Int. J. Neural Syst. Fengge Wu, Fuchun Sun, Huaping Liu
2008	B	`conf`	AQoS routing based on heuristic algorithm for Double-Layered Satellite Networks. IEEE Congress on Evolutionary Computation Fei Long, Fuchun Sun, Fengge Wu
2008	B	`conf`	On-orbit long-range maneuver transfer via EDAs. IEEE Congress on Evolutionary Computation Laihong Hu, Fuchun Sun, Hualong Xu, Huaping Liu, Fengge Wu
2005	C	`conf`	Optimal Controller Design for a class of Networked Control Systems. HIS Hongbo Li, Zengqi Sun, Fengge Wu, Fuchun Sun
2005	J	`jnl`	Performance evaluation on a double-layered satellite network. Int. J. Satell. Commun. Netw. Fengge Wu, Fuchun Sun, Ke Yu, Chang-Wen Zheng