Xu Liu

According to our database, Xu Liu authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.

Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann

Proceedings of the ACM on Web Conference 2024, 2024

User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.

Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection.

Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He

IEEE Trans. Knowl. Data Eng., April, 2023

Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning.

Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann

CoRR, 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann

CoRR, 2023

Do We Really Need Graph Neural Networks for Traffic Forecasting?

Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann

CoRR, 2023

2022

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems.

Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He

ACM Trans. Intell. Syst. Technol., 2022

When do contrastive learning signals help spatio-temporal graph forecasting?

Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

TrajFormer: Efficient Trajectory Classification with Transformers.

Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Spatio-Temporal Graph Contrastive Learning.

Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann

CoRR, 2021

2020

OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling.

Yan Lyu, Xu Liu, Hanyi Chen, Arpan Mangal, Kai Liu, Chao Chen, Brian Y. Lim

IEEE Trans. Vis. Comput. Graph., 2020

2019

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection.

Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He

CoRR, 2019