Rui Ye

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 58

Top Topics

Ensemble Pruning

Convolutional Network

Transfer Learning

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Appl. Soft Comput.

Neural Networks

Publications

Shuo Tang, Rui Ye, Chenxin Xu, Xiaowen Dong, Siheng Chen, Yanfeng Wang
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning. CoRR (2024)
Yixuan Jin, Rui Ye, Leqi Zhu
Application of Quantum Annealing Algorithm in The Combined Optimization of Credit Score Cards. CACML (2024)
Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. ICLR (2024)
Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. KDD (2024)
Ling Wan, Rui Ye, Zenghan Ma, Xiaoxue Lin, Tingting Lin
Joint Inversion of UMRS-TEM Data and Its Application for Detection in the Tunnel Using Hamiltonian Monte Carlo Method. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. CoRR (2024)
Zhenyang Ni, Rui Ye, Yuxi Wei, Zhen Xiang, Yanfeng Wang, Siheng Chen
Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models. CoRR (2024)
Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models. CoRR (2024)
Zhongyi Huang, Zhiming Fang, Rui Ye, Mohcine Chraibi
A Matrix Translation Model for Evacuation Path Optimization. IEEE Trans. Intell. Transp. Syst. 25 (2) (2024)
Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu
GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network. IEEE Trans. Vis. Comput. Graph. 30 (8) (2024)
Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation. CoRR (2024)
Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen
Learn What You Need in Personalized Federated Learning. CoRR (2024)
Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. CoRR (2024)
Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. CoRR (2024)
Li Ni, Rui Ye, Wenjian Luo, Yiwen Zhang
Local Community Detection in Multiple Private Networks. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu
On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) (2024)
Zhuofu Tao, Yichen Shi, Yiru Huo, Rui Ye, Zonghang Li, Li Huang, Chen Wu, Na Bai, Zhiping Yu, Ting-Jung Lin, Lei He
AMSNet: Netlist Dataset for AMS Circuits. CoRR (2024)
Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang
FedDisco: Federated Learning with Discrepancy-Aware Collaboration. CoRR (2023)
Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar
FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning. IEEE Trans. Signal Process. 71 (2023)
Rui Ye, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Yan Zhu, Yao Sun, Yaowei Wang
WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions. Neural Networks 162 (2023)
Rui Ye, Yaxin Du, Zhenyang Ni, Siheng Chen, Yanfeng Wang
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. CoRR (2023)
Rui Ye, Xinyu Zhu, Jingyi Chai, Siheng Chen, Yanfeng Wang
Federated Learning Empowered by Generative Content. CoRR (2023)
Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Chen Luo, Rui Ye
MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33 (6) (2023)
Yujie Fang, Xin Li, Rui Ye, Xiaoyan Tan, Peiyao Zhao, Mingzhong Wang
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang
Personalized Federated Learning with Inferred Collaboration Graphs. ICML (2023)
Rui Ye, Baoquan Zhang, Xutao Li, Yunming Ye
PEPNet: A barotropic primitive equations-based network for wind speed prediction. Neural Networks 167 (2023)
Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang
FedDisco: Federated Learning with Discrepancy-Aware Collaboration. ICML (2023)
Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye
MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning. CoRR (2022)
Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu
GPA-Net: No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network. CoRR (2022)
Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning. CoRR (2022)
Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye, Chen Luo, Hao Jiang
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. AAAI (2022)
Lun Hu, Qiang Chen, Liyuan Qiao, Le Du, Rui Ye
Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network. Cogn. Comput. 14 (5) (2022)
Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye
Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning. IJCAI (2022)
Kuai Dai, Xutao Li, Yunming Ye, Shanshan Feng, Danyu Qin, Rui Ye
MSTCGAN: Multiscale Time Conditional Generative Adversarial Network for Long-Term Satellite Image Sequence Prediction. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Rui Ye, Qun Dai
A relationship-aligned transfer learning algorithm for time series forecasting. Inf. Sci. 593 (2022)
Rui Ye, Xutao Li, Yunming Ye, Baoquan Zhang
DynamicNet: A time-variant ODE network for multi-step wind speed prediction. Neural Networks 152 (2022)
Rui Ye, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Chuyao Luo
SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction. Inf. Sci. 609 (2022)
Guang Zeng, Jun Zhang, Rui Ye, Andreas Schadschneider, Shuchao Cao, Qiao Wang, Weiguo Song
Pedestrian dynamics in single-File movement under Background Music with Different Tempos. Adv. Complex Syst. 24 (6) (2021)
Chuyao Luo, ZhengZhang, Rui Ye, Xutao Li, Yunming Ye
RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting. CoRR (2021)
Rui Ye, Yuqing Hou, Te Lei, Yunxing Zhang, Qing Zhang, Jiale Guo, Huaiwen Wu, Hengliang Luo
Dynamic Graph Construction for Improving Diversity of Recommendation. RecSys (2021)
Rui Ye, Qun Dai
Implementing transfer learning across different datasets for time series forecasting. Pattern Recognit. 109 (2021)
Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification. CoRR (2021)
Xiaolian Li, Rui Ye, Zhiming Fang, Yihua Xu, Beihua Cong, Xin Han
Uni- and bidirectional pedestrian flows through zigzag corridor in a tourism area: a field study. Adapt. Behav. 29 (3) (2021)
Qitao Gu, Qun Dai, HuiHui Yu, Rui Ye
Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction. Appl. Soft Comput. 109 (2021)
Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng, Rui Ye
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. CoRR (2021)
Rui Ye, Qing Zhang, Hengliang Luo
Cross-Session Aware Temporal Convolutional Network for Session-based Recommendation. ICDM (Workshops) (2020)
Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment. IJCAI (2019)
Yiping Zeng, Hui Zhang, Xiaodong Liu, Yanyun Fu, Xinzhi Wang, Rui Ye
Study on Uni-directinal Pedestrian Flow Based on Artificial Neural Network. ICVISP (2019)
Rui Ye, Qun Dai, Meiling Li
A hybrid transfer learning algorithm incorporating TrSVM with GASEN. Pattern Recognit. 92 (2019)
Jinhua Li, Qun Dai, Rui Ye
A novel double incremental learning algorithm for time series prediction. Neural Comput. Appl. 31 (10) (2019)
Rui Ye, Qun Dai
MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction. Appl. Soft Comput. 79 (2019)
Yiping Zeng, Hui Zhang, Xiaodong Liu, Yanyun Fu, Qing Deng, Rui Ye
Information system and management for campus safety. EM-GIS (2019)
Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou
Non-translational Alignment for Multi-relational Networks. IJCAI (2018)
Rui Ye, Qun Dai
A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm. Neural Process. Lett. 47 (2) (2018)
Rui Ye, Qun Dai
A novel transfer learning framework for time series forecasting. Knowl. Based Syst. 156 (2018)
Qun Dai, Rui Ye, Zhuan Liu
Considering diversity and accuracy simultaneously for ensemble pruning. Appl. Soft Comput. 58 (2017)
Rui Ye, Wentao Meng, Shenggang Wan
Extending Lifetime of SSD in Raid5 Systems through a Reliable Hierarchical Cache. NAS (2017)
Rui Ye, Cai Fu, Lansheng Han, Deliang Xu
Multidimensional Trust Evaluation Model Based on Redemption and Data Aggregation. SKG (2015)
Rui Ye, Qing Wu
SOA based cloud computing trust model research with a curve fitting method. CCIS (2012)