Rongguang Ye

40 papers A* 4A 2B 3Journal 24Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring Performance-Fairness Trade-Offs in Federated Learning.
IEEE Trans. Netw.
Rongguang Ye, Wei-Bin Kou, Ming Tang
2025 J jnl
Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization.
CoRR
Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Jingreng Lei, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu
2025 A conf
Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory.
IROS
Wei-Bin Kou, Qingfeng Lin, Ming Tang, Jingreng Lei, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu
2025 J jnl
Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory.
CoRR
Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu
2025 J jnl
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst.
Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2025 A* conf
Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator.
ICRA
Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu
2025 J jnl
Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator.
CoRR
Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu
2025 A* conf
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning.
IJCAI
Rongguang Ye, Ming Tang
2025 J jnl
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning.
CoRR
Rongguang Ye, Ming Tang
2025 J jnl
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs.
CoRR
Rongguang Ye, Ming Tang, Edith C. H. Ngai
2025 — conf
One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models.
ACL (Findings)
Rongguang Ye, Ming Tang
2025 J jnl
One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models.
CoRR
Rongguang Ye, Ming Tang
2025 — conf
PraFFL: A Preference-Aware Scheme in Fair Federated Learning.
KDD (1)
Rongguang Ye, Wei-Bin Kou, Ming Tang
2025 J jnl
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst.
Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Guofa Li, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu
2024 — conf
A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems.
PPSN (3)
Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata
2024 J jnl
An Adverse Weather-Immune Scheme with Unfolded Regularization and Foundation Model Knowledge Distillation for Street Scene Understanding.
CoRR
Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu
2024 — conf
An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization.
PPSN (4)
Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi
2024 B conf
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems.
IJCNN
Chikai Shang, Rongguang Ye, Jiaqi Jiang, Fangqing Gu
2024 J jnl
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems.
CoRR
Chikai Shang, Rongguang Ye, Jiaqi Jiang, Fangqing Gu
2024 B conf
Data-Driven Preference Sampling for Pareto Front Learning.
IJCNN
Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi
2024 J jnl
Data-Driven Preference Sampling for Pareto Front Learning.
CoRR
Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi
2024 A conf
Evolutionary Preference Sampling for Pareto Set Learning.
GECCO
Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi
2024 J jnl
Evolutionary Preference Sampling for Pareto Set Learning.
CoRR
Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi
2024 J jnl
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving.
CoRR
Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2024 B conf
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization.
SMC
Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi
2024 J jnl
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization.
CoRR
Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi
2024 J jnl
PraFFL: A Preference-Aware Scheme in Fair Federated Learning.
CoRR
Rongguang Ye, Ming Tang
2024 J jnl
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving.
CoRR
Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu
2023 J jnl
LiCAM: Long-Tailed Instance Segmentation with Real-Time Classification Accuracy Monitoring.
J. Circuits Syst. Comput.
Rongguang Ye, Yantong Guo, Xian Shuai, Rongye Ye, Siyang Jiang, Hui Jiang
2023 J jnl
Localization Distillation for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng
2022 — conf
A Generative Adversarial Network Based Motion Planning Framework for Mobile Robots in Dynamic Human-Robot Integration Environments.
ICSR (1)
Yuqi Kong, Yao Wang, Yang Hong, Rongguang Ye, Wenzheng Chi, Lining Sun
2022 J jnl
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.
IEEE Trans. Cybern.
Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo
2022 A* conf
Localization Distillation for Dense Object Detection.
CVPR
Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng
2022 J jnl
Localization Distillation for Object Detection.
CoRR
Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng
2022 — conf
SIA-Unet: A Unet with Sequence Information for Gastrointestinal Tract Segmentation.
PRICAI (1)
Rongguang Ye, Ranmin Wang, Yantong Guo, Lei Chen
2021 — conf
A Natural Language Instruction Disambiguation Method for Robot Grasping.
ROBIO
Rongguang Ye, Qingchuan Xu, Jie Liu, Yang Hong, Chengfeng Sun, Wenzheng Chi, Lining Sun
2021 J jnl
Localization Distillation for Object Detection.
CoRR
Zhaohui Zheng, Rongguang Ye, Ping Wang, Jun Wang, Dongwei Ren, Wangmeng Zuo
2020 A* conf
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression.
AAAI
Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren
2020 J jnl
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.
CoRR
Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo
2019 J jnl
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression.
CoRR
Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren