VLDB 2026 Research / reviewers in the wild / expert
Ying Lin 0004
dblp:24/3392-4
· DBLP profile ↗
12ranked-venue papers
4as first author
9since 2021 · last 2025
0000-0002-4643-7457ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 7 · 3 first-author · 6 since 2021Databases, data management, data science and information retrieval · 4 · 2 first-author · 3 since 2021Human-computer interaction and ubiquitous computing · 2 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1 · 1 since 2021Security and privacy · 1 · 1 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | FedBH: Efficient federated learning through shared base and adaptive hyperparameters in heterogeneous systems
Zediao Liu, Yayu Luo, Tongzhijun Zhu, Tenglong Mao, Huan Pi, Ying Lin 0004 |
Comput. Commun. | 7 |
| 2025 | MFF-Net: A multi-view feature fusion network for generalized forgery image detection
Ying Lin 0004, Tenglong Mao, Yan Kang 0003 |
Neurocomputing | 1 |
| 2025 | Tri-level interaction fusion network for graph similarity learning
Yan Kang 0003, Ying Lin 0004 |
Knowl. Based Syst. | 5 |
| 2025 | Federated learning with empirical insights: Leveraging gradient historical experiences for performance fairness
Tongzhijun Zhu, Ying Lin 0004, Yanzhen Qu, Zediao Liu, Yayu Luo, Tenglong Mao |
Pervasive Mob. Comput. | 2 |
| 2024 | GANFAT: Robust federated adversarial learning with label distribution skew
Yayu Luo, Tongzhijun Zhu, Zediao Liu, Tenglong Mao, Huan Pi, Ying Lin 0004 |
Future Gener. Comput. Syst. | 7 |
| 2023 | ACR-GNN: Adaptive Cluster Reinforcement Graph Neural Network Based on Contrastive Learning
Jianpeng Hu, Shengfu Ning, Meng Yan 0012, Zhishen Nie, Ying Lin 0004 |
Neural Process. Lett. | 6 |
| 2022 | GAN-Based Fusion Adversarial Training
Ying Lin 0004, Shengfu Ning, Huan Pi, Junyuan Zhang, Jianpeng Hu |
KSEM (3) | 2 |
| 2022 | PPBR-FL: A Privacy-Preserving and Byzantine-Robust Federated Learning System
Ying Lin 0004, Shengfu Ning, Jianpeng Hu, Jiansong Liu, Junyuan Zhang, Huan Pi |
KSEM (3) | 1 |
| 2021 | An Adversarial Training Method for Improving Model Robustness in Unsupervised Domain Adaptation
Zhishen Nie, Ying Lin 0004, Meng Yan 0012, Shengfu Ning |
KSEM | 2 |
| 2020 | The Short-Term Exit Traffic Prediction of a Toll Station Based on LSTM
Ying Lin 0004, Runfang Wang, Rui Zhu 0009, Tong Li 0004, Maoyu Chen |
KSEM (2) | 1 |
| 2020 | Differential privacy protection over deep learning: An investigation of its impacted factors
Ying Lin 0004, Ling-Yan Bao, Ze-Minghui Li, Shu-Zheng Si, Chao-Hsien Chu |
Comput. Secur. | 1 |
| 2018 | Instance-Driven Property Alignment in Linked Open Data CloudabstractInstance matching frameworks that identify links between instances, expressed as owl: sameAs assertions, have achieved a high performance while the performance of property matching lags behind. In this paper we leverage owl: sameAs links and show how these links can help for property matching. First, we extract all owl: sameAs instance pairs together with their properties and transform them into tables. Then, we apply table matching techniques and propose matching criteria to find relationships between properties. The experiments with real world LOD datasets show the efficiency and effectiveness of the proposed approach to deal with property matching. Cheng Xie 0001, Ying Lin 0004, Hongming Cai 0001 |
CSCWD | 2 |