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2020 – today
- 2024
[c10]Rongguang Ye
, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi:
Evolutionary Preference Sampling for Pareto Set Learning. GECCO 2024- [c9]Chikai Shang, Rongguang Ye, Jiaqi Jiang, Fangqing Gu:
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems. IJCNN 2024: 1-8 - [c8]Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi:
Data-Driven Preference Sampling for Pareto Front Learning. IJCNN 2024: 1-8 - [c7]Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi:
An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization. PPSN (4) 2024: 186-201 - [c6]Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata:
A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems. PPSN (3) 2024: 386-402 - [i12]Chikai Shang, Rongguang Ye, Jiaqi Jiang, Fangqing Gu:
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems. CoRR abs/2404.01224 (2024) - [i11]Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi:
Data-Driven Preference Sampling for Pareto Front Learning. CoRR abs/2404.08397 (2024) - [i10]Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi:
Evolutionary Preference Sampling for Pareto Set Learning. CoRR abs/2404.08414 (2024) - [i9]Rongguang Ye, Ming Tang:
PraFFL: A Preference-Aware Scheme in Fair Federated Learning. CoRR abs/2404.08973 (2024) - [i8]Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu:
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving. CoRR abs/2405.04146 (2024) - [i7]Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi:
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization. CoRR abs/2408.05778 (2024) - [i6]Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu:
An Adverse Weather-Immune Scheme with Unfolded Regularization and Foundation Model Knowledge Distillation for Street Scene Understanding. CoRR abs/2409.14737 (2024) - [i5]Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu:
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving. CoRR abs/2409.19560 (2024) - 2023
- [j3]Rongguang Ye, Yantong Guo, Xian Shuai, Rongye Ye, Siyang Jiang, Hui Jiang:
LiCAM: Long-Tailed Instance Segmentation with Real-Time Classification Accuracy Monitoring. J. Circuits Syst. Comput. 32(2): 2350032:1-2350032:18 (2023) - [j2]Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng:
Localization Distillation for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10070-10083 (2023) - 2022
- [j1]Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo:
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation. IEEE Trans. Cybern. 52(8): 8574-8586 (2022) - [c5]Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng:
Localization Distillation for Dense Object Detection. CVPR 2022: 9397-9406 - [c4]Rongguang Ye, Ranmin Wang, Yantong Guo, Lei Chen:
SIA-Unet: A Unet with Sequence Information for Gastrointestinal Tract Segmentation. PRICAI (1) 2022: 316-326 - [c3]Yuqi Kong, Yao Wang, Yang Hong, Rongguang Ye, Wenzheng Chi, Lining Sun:
A Generative Adversarial Network Based Motion Planning Framework for Mobile Robots in Dynamic Human-Robot Integration Environments. ICSR (1) 2022: 427-439 - [i4]Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng:
Localization Distillation for Object Detection. CoRR abs/2204.05957 (2022) - 2021
- [c2]Rongguang Ye, Qingchuan Xu, Jie Liu, Yang Hong, Chengfeng Sun, Wenzheng Chi, Lining Sun:
A Natural Language Instruction Disambiguation Method for Robot Grasping. ROBIO 2021: 601-606 - [i3]Zhaohui Zheng, Rongguang Ye, Ping Wang, Jun Wang, Dongwei Ren, Wangmeng Zuo:
Localization Distillation for Object Detection. CoRR abs/2102.12252 (2021) - 2020
- [c1]Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren:
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression. AAAI 2020: 12993-13000 - [i2]Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo:
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation. CoRR abs/2005.03572 (2020)
2010 – 2019
- 2019
- [i1]Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren:
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression. CoRR abs/1911.08287 (2019)
Coauthor Index
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