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Rui Ye
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2020 – today
- 2024
- [j27]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: 1-12 (2024) - [j26]Rui Ye, Yao Wang, Shihe Li, Tingting Lin
UMRS Data Inversion Using Tempered Hamiltonian Monte Carlo Method and Its Application to Water Detection in the Tunnel. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j25]Zhongyi Huang
A Matrix Translation Model for Evacuation Path Optimization. IEEE Trans. Intell. Transp. Syst. 25(2): 1374-1383 (2024) - [j24]Shaoheng Fang, Rui Ye
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. IEEE Trans. Intell. Transp. Syst. 25(11): 18321-18337 (2024) - [j23]Li Ni
Local Community Detection in Multiple Private Networks. ACM Trans. Knowl. Discov. Data 18(5): 126:1-126:21 (2024) - [j22]Ziyu Shan
GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network. IEEE Trans. Vis. Comput. Graph. 30(8): 4955-4967 (2024) - [c19]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: 9236-9260 - [c18]Yixuan Jin
Application of Quantum Annealing Algorithm in The Combined Optimization of Credit Score Cards. CACML 2024: 460-464 - [c17]Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang:
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server. EMNLP 2024: 7677-7695 - [c16]Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen:
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. ICLR 2024 - [c15]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. ICML 2024 - [c14]Rui Ye
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning. KDD 2024: 6137-6147 - [i22]Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen:
Learn What You Need in Personalized Federated Learning. CoRR abs/2401.08327 (2024) - [i21]Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. CoRR abs/2401.12862 (2024) - [i20]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 abs/2402.05699 (2024) - [i19]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 abs/2402.06954 (2024) - [i18]Shuo Tang, Rui Ye, Chenxin Xu, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning. CoRR abs/2403.06535 (2024) - [i17]Zhenyang Ni, Rui Ye, Yuxi Wei, Zhen Xiang, Yanfeng Wang, Siheng Chen:
Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models. CoRR abs/2404.12916 (2024) - [i16]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 abs/2405.09045 (2024) - [i15]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 abs/2406.04845 (2024) - [i14]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 abs/2406.10630 (2024) - [i13]Rui Ye, Rui Ge, Yuchi Fengting, Jingyi Chai, Yanfeng Wang, Siheng Chen:
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models. CoRR abs/2409.07136 (2024) - [i12]Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang:
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server. CoRR abs/2410.05725 (2024) - [i11]Yaxin Du, Rui Ye, Yuchi Fengting, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen:
Data Quality Control in Federated Instruction-tuning of Large Language Models. CoRR abs/2410.11540 (2024) - [i10]Shuo Tang, Xianghe Pang, Zexi Liu, Bohan Tang, Rui Ye, Xiaowen Dong, Yanfeng Wang, Siheng Chen:
Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation. CoRR abs/2410.14251 (2024) - 2023
- [j21]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: 147-161 (2023) - [j20]Rui Ye, Baoquan Zhang, Xutao Li, Yunming Ye:
PEPNet: A barotropic primitive equations-based network for wind speed prediction. Neural Networks 167: 533-550 (2023) - [j19]Baoquan Zhang, Hao Jiang, Xutao Li
MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2826-2838 (2023) - [j18]Yujie Fang
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment. ACM Trans. Intell. Syst. Technol. 14(2): 37:1-37:23 (2023) - [j17]Rui Ye
FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning. IEEE Trans. Signal Process. 71: 4224-4239 (2023) - [c13]Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang:
Personalized Federated Learning with Inferred Collaboration Graphs. ICML 2023: 39801-39817 - [c12]Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang:
FedDisco: Federated Learning with Discrepancy-Aware Collaboration. ICML 2023: 39879-39902 - [i9]Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang:
FedDisco: Federated Learning with Discrepancy-Aware Collaboration. CoRR abs/2305.19229 (2023) - [i8]Rui Ye, Xinyu Zhu, Jingyi Chai, Siheng Chen, Yanfeng Wang:
Federated Learning Empowered by Generative Content. CoRR abs/2312.05807 (2023) - [i7]Rui Ye, Yaxin Du, Zhenyang Ni, Siheng Chen, Yanfeng Wang:
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation. CoRR abs/2312.05966 (2023) - 2022
- [j16]Lun Hu
Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network. Cogn. Comput. 14(5): 1599-1608 (2022) - [j15]Rui Ye, Qun Dai:
A relationship-aligned transfer learning algorithm for time series forecasting. Inf. Sci. 593: 17-34 (2022) - [j14]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: 79-99 (2022) - [j13]Rui Ye, Xutao Li, Yunming Ye, Baoquan Zhang:
DynamicNet: A time-variant ODE network for multi-step wind speed prediction. Neural Networks 152: 118-139 (2022) - [j12]Kuai Dai
MSTCGAN: Multiscale Time Conditional Generative Adversarial Network for Long-Term Satellite Image Sequence Prediction. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j11]Baoquan Zhang, Shanshan Feng
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c11]Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye:
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. AAAI 2022: 9014-9021 - [c10]Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye:
Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning. IJCAI 2022: 3723-3729 - [i6]Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye:
MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning. CoRR abs/2203.01482 (2022) - [i5]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 abs/2210.07615 (2022) - [i4]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 abs/2210.16478 (2022) - 2021
- [j10]Xiaolian Li
Uni- and bidirectional pedestrian flows through zigzag corridor in a tourism area: a field study. Adapt. Behav. 29(3) (2021) - [j9]Guang Zeng, Jun Zhang
Pedestrian dynamics in single-File movement under Background Music with Different Tempos. Adv. Complex Syst. 24(6): 2150011:1-2150011:19 (2021) - [j8]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: 107583 (2021) - [j7]Rui Ye, Qun Dai
Implementing transfer learning across different datasets for time series forecasting. Pattern Recognit. 109: 107617 (2021) - [c9]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: 651-655 - [i3]Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng, Rui Ye:
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. CoRR abs/2103.14341 (2021) - [i2]Chuyao Luo, Zheng Zhang, Rui Ye, Xutao Li, Yunming Ye:
RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting. CoRR abs/2110.01035 (2021) - [i1]Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye:
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification. CoRR abs/2110.04494 (2021) - 2020
- [c8]Rui Ye, Qing Zhang, Hengliang Luo:
Cross-Session Aware Temporal Convolutional Network for Session-based Recommendation. ICDM (Workshops) 2020: 220-226
2010 – 2019
- 2019
- [j6]Rui Ye, Qun Dai
MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction. Appl. Soft Comput. 79: 227-253 (2019) - [j5]Jinhua Li, Qun Dai, Rui Ye:
A novel double incremental learning algorithm for time series prediction. Neural Comput. Appl. 31(10): 6055-6077 (2019) - [j4]Rui Ye, Qun Dai
A hybrid transfer learning algorithm incorporating TrSVM with GASEN. Pattern Recognit. 92: 192-202 (2019) - [c7]Yiping Zeng, Hui Zhang, Xiaodong Liu, Yanyun Fu, Qing Deng, Rui Ye:
Information system and management for campus safety. EM-GIS 2019: 1:1-1:6 - [c6]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: 81:1-81:5 - [c5]Rui Ye, Xin Li, Yujie Fang
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment. IJCAI 2019: 4135-4141 - 2018
- [j3]Rui Ye, Qun Dai
A novel transfer learning framework for time series forecasting. Knowl. Based Syst. 156: 74-99 (2018) - [j2]Rui Ye, Qun Dai:
A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm. Neural Process. Lett. 47(2): 565-599 (2018) - [c4]Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang
Non-translational Alignment for Multi-relational Networks. IJCAI 2018: 4180-4186 - 2017
- [j1]Qun Dai
Considering diversity and accuracy simultaneously for ensemble pruning. Appl. Soft Comput. 58: 75-91 (2017) - [c3]Rui Ye, Wentao Meng, Shenggang Wan:
Extending Lifetime of SSD in Raid5 Systems through a Reliable Hierarchical Cache. NAS 2017: 1-8 - 2015
- [c2]Rui Ye, Cai Fu, Lansheng Han, Deliang Xu:
Multidimensional Trust Evaluation Model Based on Redemption and Data Aggregation. SKG 2015: 212-216 - 2012
- [c1]Rui Ye, Qing Wu:
SOA based cloud computing trust model research with a curve fitting method. CCIS 2012: 338-343
Coauthor Index
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last updated on 2024-12-03 20:26 CET by the dblp team
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