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Xu Liu
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年份
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Q Li, Z Wen, Z Wu, S Hu, N Wang, Y Li, X Liu, B He
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
8452021
LSTM Multi-Modal UNet for Brain Tumor Segmentation
F Xu, H Ma, J Sun, R Wu, X Liu, Y Kong
ICIVC 2019, 2019
662019
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?
X Liu, Y Liang, C Huang, Y Zheng, B Hooi, R Zimmermann
SIGSPATIAL 2022, 2022
51*2022
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
S Hu, Y Li, X Liu, Q Li, Z Wu, B He
ACM Transactions on Intelligent Systems and Technology (TIST), 2022
472022
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Y Xia, Y Liang, H Wen, X Liu, K Wang, Z Zhou, R Zimmermann
NeurIPS 2023, 2023
162023
TrajFormer: Efficient Trajectory Classification with Transformers
Y Liang, K Ouyang, Y Wang, X Liu, H Chen, J Zhang, Y Zheng, ...
CIKM 2022, 2022
162022
Do we really need graph neural networks for traffic forecasting?
X Liu, Y Liang, C Huang, H Hu, Y Cao, B Hooi, R Zimmermann
arXiv preprint arXiv:2301.12603, 2023
152023
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
X Liu, Y Xia, Y Liang, J Hu, Y Wang, L Bai, C Huang, Z Liu, B Hooi, ...
NeurIPS 2023, 2023
112023
OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling
Y Lyu, X Liu, H Chen, A Mangal, K Liu, C Chen, B Lim
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2019
112019
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
X Liu, J Hu, Y Li, S Diao, Y Liang, B Hooi, R Zimmermann
WWW 2024, 2023
82023
Deep Active Learning for Computer Vision: Past and Future
R Takezoe, X Liu, S Mao, MT Chen, Z Feng, S Zhang, X Wang
APSIPA Transactions on Signal and Information Processing, 2023
82023
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning
J Hu, X Liu, Z Fan, Y Liang, R Zimmermann
arXiv preprint arXiv:2310.17360, 2023
22023
LLMs for Relational Reasoning: How Far are We?
Z Li, Y Cao, X Xu, J Jiang, X Liu, YS Teo, S Lin, Y Liu
ICSE LLM4Code Workshop 2024, 2024
12024
Low-rank Adaptation for Spatio-Temporal Forecasting
W Ruan, W Chen, X Dang, J Zhou, W Li, X Liu, Y Liang
arXiv preprint arXiv:2404.07919, 2024
2024
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation
H Hu, W Guo, X Liu, Y Liu, R Tang, R Zhang, MY Kan
WSDM 2024, 2024
2024
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