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Xu Liu 0014
Person information
- affiliation: National University of Singapore, Singapore
Other persons with the same name
- Xu Liu — disambiguation page
- Xu Liu 0001
— North Carolina State University, Raleigh, NC, USA (and 2 more)
- Xu Liu 0002
- Xu Liu 0003 — University of Maryland, Institute for Advanced Computer Studies, College Park, MD, USA
- Xu Liu 0004
- Xu Liu 0005
- Xu Liu 0006
- Xu Liu 0007
- Xu Liu 0008
- Xu Liu 0009
- Xu Liu 0010
- Xu Liu 0011
- Xu Liu 0012
- Xu Liu 0013
- Xu T. Liu
- Xu Liu 0016 — Arizona State University, Tempe, USA
- Xu Liu 0017 — JD AI Research, Beijing, China (and 1 more)
- Xu Liu 0018
- Xu Liu 0019
- Xu Liu 0020 — University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing, China
- Xu Liu 0021 — Chinese Academy of Military Science, Defense Innovation Institute, Beijing, China
- Xu Liu 0022 — Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation, Hangzhou, China
- Xu Liu 0023
- Xu Liu 0024
- Xu Liu 0025
- Xu Liu 0026
- Xu Liu 0027
- Xu Liu 0028
- Xu Liu 0029
- Xu Liu 0030
- Xu Liu 0031
- Xu Liu 0032
- Xu Liu 0033
- Xu Liu 0034
- Xu Liu 0035
- Xu Liu 0036 — Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China
- Xu Liu 0037
- Xu Liu 0038
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2020 – today
- 2024
- [c12]Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann:
Prompt-Based Spatio-Temporal Graph Transfer Learning. CIKM 2024: 890-899 - [c11]Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He:
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. EMNLP 2024: 1094-1106 - [c10]Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann:
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning. SIGSPATIAL/GIS 2024: 135-146 - [c9]Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu:
Improving Neural Logic Machines via Failure Reflection. ICML 2024 - [c8]Zhiming Li
LLMs for Relational Reasoning: How Far are We? LLM4CODE@ICSE 2024: 119-126 - [c7]Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency. ECML/PKDD (3) 2024: 21-38 - [c6]Hengchang Hu
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. WSDM 2024: 266-275 - [c5]Xu Liu
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. WWW 2024: 4095-4106 - [i11]Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu:
LLMs for Relational Reasoning: How Far are We? CoRR abs/2401.09042 (2024) - [i10]Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann:
Prompt-Enhanced Spatio-Temporal Graph Transfer Learning. CoRR abs/2405.12452 (2024) - [i9]Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He:
A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. CoRR abs/2407.09546 (2024) - 2023
- [j3]Qinbin Li
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. IEEE Trans. Knowl. Data Eng. 35(4): 3347-3366 (2023) - [c4]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. NeurIPS 2023 - [c3]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. NeurIPS 2023 - [i8]Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR abs/2301.12603 (2023) - [i7]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR abs/2306.08259 (2023) - [i6]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. CoRR abs/2309.13378 (2023) - [i5]Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann:
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. CoRR abs/2310.09751 (2023) - [i4]Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann:
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning. CoRR abs/2310.17360 (2023) - 2022
- [j2]Sixu Hu
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. ACM Trans. Intell. Syst. Technol. 13(4): 63:1-63:32 (2022) - [c2]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
TrajFormer: Efficient Trajectory Classification with Transformers. CIKM 2022: 1229-1237 - [c1]Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
When do contrastive learning signals help spatio-temporal graph forecasting? SIGSPATIAL/GIS 2022: 5:1-5:12 - 2021
- [i3]Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
Spatio-Temporal Graph Contrastive Learning. CoRR abs/2108.11873 (2021) - 2020
- [j1]Yan Lyu, Xu Liu, Hanyi Chen, Arpan Mangal, Kai Liu, Chao Chen, Brian Y. Lim:
OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling. IEEE Trans. Vis. Comput. Graph. 26(1): 811-821 (2020) - [i2]Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He:
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. CoRR abs/2006.07856 (2020)
2010 – 2019
- 2019
- [i1]Qinbin Li
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. CoRR abs/1907.09693 (2019)
Coauthor Index
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