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ORCIDYue Cui 0001
Person information
- affiliation: Hong Kong University of Science and Technology, SAR, China
- affiliation (former): University of Electronic Science and Technology of China, Chengdu, Sichuan, China
Other persons with the same name
- Yue Cui — disambiguation page
- Yue Cui 0002
![[0000-0001-8912-3573]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8912-3573")
— Tianjin Normal University, College of Computer and Information Engineering, China - Yue Cui 0003 — University of Newcastle, NSW, Australia
- Yue Cui 0004 — Carnegie Mellon University, PA, USA
- Yue Cui 0005 — University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
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2020 – today
- 2024
[j4]Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou:
TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. IEEE Trans. Knowl. Data Eng. 36(5): 2224-2238 (2024)- [c14]Liwei Deng, Yan Zhao, Yue Cui, Yuyang Xia, Jin Chen, Kai Zheng:
Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage. ICDE 2024: 276-288 - [c13]Shuhao Li, Yue Cui, Libin Li, Weidong Yang, Fan Zhang, Xiaofang Zhou:
ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction. ICDE 2024: 1185-1198 - [c12]Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou:
FRESH: Towards Efficient Graph Queries in an Outsourced Graph. ICDE 2024: 4545-4557 - [i4]Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou:
An Auction-based Marketplace for Model Trading in Federated Learning. CoRR abs/2402.01802 (2024) - [i3]Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou:
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR abs/2402.15247 (2024) - [i2]Shuhao Li, Yue Cui, Jingyi Xu, Libin Li, Lingkai Meng, Weidong Yang, Fan Zhang, Xiaofang Zhou:
Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline. CoRR abs/2403.14941 (2024) - 2023
- [j3]Kai Huang, Houdong Liang, Chongchong Yao, Xi Zhao, Yue Cui, Yao Tian, Ruiyuan Zhang, Xiaofang Zhou:
VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines. Proc. VLDB Endow. 16(12): 4010-4013 (2023) - [c11]Shuhao Li, Yue Cui, Yan Zhao, Weidong Yang, Ruiyuan Zhang, Xiaofang Zhou:
ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction. CIKM 2023: 1208-1217 - [c10]Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou:
ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework. ICDE 2023: 1340-1352 - [c9]Yue Cui, Chen Ma, Kai Zheng, Lei Chen, Xiaofang Zhou:
Controllable Universal Fair Representation Learning. WWW 2023: 949-959 - 2022
- [j2]Yue Cui, Hao Sun, Yan Zhao, Hongzhi Yin, Kai Zheng:
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach. ACM Trans. Inf. Syst. 40(2): 23:1-23:22 (2022) - [c8]Chen Zhu, Yue Cui, Yan Zhao, Kai Zheng:
Task Assignment with Spatio-temporal Recommendation in Spatial Crowdsourcing. APWeb/WAIM (1) 2022: 264-279 - [c7]Jiandong Xie, Yue Cui, Feiteng Huang, Chao Liu, Kai Zheng:
MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis. CIKM 2022: 2230-2239 - 2021
- [j1]Yue Cui, Kai Zheng, Dingshan Cui, Jiandong Xie, Liwei Deng, Feiteng Huang, Xiaofang Zhou:
METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting. Proc. VLDB Endow. 15(2): 224-236 (2021) - [c6]Yue Cui, Chen Zhu, Guanyu Ye, Ziwei Wang, Kai Zheng:
Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction. CIKM 2021: 292-301 - [c5]Yue Cui, Jiandong Xie, Kai Zheng:
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting. CIKM 2021: 2965-2969 - [c4]Hao Sun, Zijian Wu, Yue Cui, Liwei Deng, Yan Zhao, Kai Zheng:
Personalized Dynamic Knowledge-Aware Recommendation with Hybrid Explanations. DASFAA (3) 2021: 148-164 - [c3]Bingke Xu, Yue Cui, Zipeng Sun, Liwei Deng, Kai Zheng:
Fair Representation Learning in Knowledge-aware Recommendation. ICBK 2021: 385-392 - [i1]Yue Cui, Jiandong Xie, Kai Zheng:
Historical Inertia: An Ignored but Powerful Baseline for Long Sequence Time-series Forecasting. CoRR abs/2103.16349 (2021) - 2020
- [c2]Yan Zhao, Kai Zheng, Yue Cui, Han Su, Feida Zhu, Xiaofang Zhou:
Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach. ICDE 2020: 13-24
2010 – 2019
- 2019
- [c1]Yue Cui, Liwei Deng, Yan Zhao, Bin Yao, Vincent W. Zheng, Kai Zheng:
Hidden POI Ranking with Spatial Crowdsourcing. KDD 2019: 814-824
Coauthor Index
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