Rongguang Ye

According to our database, Rongguang Ye authored at least 25 papers between 2020 and 2025.

Collaborative distances:

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

2025

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization.

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Jingreng Lei, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu

CoRR, August, 2025

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu

IEEE Trans. Intell. Transp. Syst., July, 2025

Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning.

Rongguang Ye, Ming Tang

CoRR, April, 2025

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator.

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu

CoRR, February, 2025

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu

CoRR, January, 2025

PraFFL: A Preference-Aware Scheme in Fair Federated Learning.

Rongguang Ye, Wei-Bin Kou, Ming Tang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models.

Rongguang Ye, Ming Tang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

An Adverse Weather-Immune Scheme with Unfolded Regularization and Foundation Model Knowledge Distillation for Street Scene Understanding.

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu

CoRR, 2024

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu

CoRR, 2024

PraFFL: A Preference-Aware Scheme in Fair Federated Learning.

Rongguang Ye, Ming Tang

CoRR, 2024

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization.

Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi

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

An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization.

Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems.

Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Data-Driven Preference Sampling for Pareto Front Learning.

Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi

Proceedings of the International Joint Conference on Neural Networks, 2024

Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems.

Chikai Shang, Rongguang Ye, Jiaqi Jiang, Fangqing Gu

Proceedings of the International Joint Conference on Neural Networks, 2024

Evolutionary Preference Sampling for Pareto Set Learning.

Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Localization Distillation for Object Detection.

Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

LiCAM: Long-Tailed Instance Segmentation with Real-Time Classification Accuracy Monitoring.

Rongguang Ye, Yantong Guo, Xian Shuai, Rongye Ye, Siyang Jiang, Hui Jiang

J. Circuits Syst. Comput., January, 2023

2022

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.

Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo

IEEE Trans. Cybern., 2022

A Generative Adversarial Network Based Motion Planning Framework for Mobile Robots in Dynamic Human-Robot Integration Environments.

Yuqi Kong, Yao Wang, Yang Hong, Rongguang Ye, Wenzheng Chi, Lining Sun

Proceedings of the Social Robotics - 14th International Conference, 2022

SIA-Unet: A Unet with Sequence Information for Gastrointestinal Tract Segmentation.

Rongguang Ye, Ranmin Wang, Yantong Guo, Lei Chen

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Localization Distillation for Dense Object Detection.

Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Localization Distillation for Object Detection.

Zhaohui Zheng, Rongguang Ye, Ping Wang, Jun Wang, Dongwei Ren, Wangmeng Zuo

CoRR, 2021

A Natural Language Instruction Disambiguation Method for Robot Grasping.

Rongguang Ye, Qingchuan Xu, Jie Liu, Yang Hong, Chengfeng Sun, Wenzheng Chi, Lining Sun

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

2020

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression.

Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020