Yue Cui

According to our database, Yue Cui authored at least 36 papers between 2019 and 2025.

Collaborative distances:

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

2025

Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory.

Shiqi He, Yue Cui, Xinyu Ma, Yaliang Li, Bolin Ding, Mosharaf Chowdhury

CoRR, October, 2025

Unifying Lane-Level Traffic Prediction From a Graph Structural Perspective: Benchmark and Baseline.

Shuhao Li, Yue Cui, Jingyi Xu, Libin Li, Lingkai Meng, Weidong Yang, Fan Zhang, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., September, 2025

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications.

Dawei Gao, Zitao Li, Yuexiang Xie, Weirui Kuang, Liuyi Yao, Bingchen Qian, Zhijian Ma, Yue Cui, Haohao Luo, Shen Li, Lu Yi, Yi Yu, Shiqi He, Zhiling Luo, Wenmeng Zhou, Zhicheng Zhang, Xuguang He, Ziqian Chen, Weikai Liao, Farruh Isakulovich Kushnazarov, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, August, 2025

E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency.

Dongjie Xu, Yue Cui, Weijie Shi, Qingzhi Ma, Hanghui Guo, Jiaming Li, Yao Zhao, Ruiyuan Zhang, Shimin Di, Jia Zhu, Kai Zheng, Jiajie Xu

CoRR, August, 2025

Zero-Shot Cellular Trajectory Map Matching.

Weijie Shi, Yue Cui, Hao Chen, Jiaming Li, Mengze Li, Jia Zhu, Jiajie Xu, Xiaofang Zhou

CoRR, August, 2025

Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation.

Shuhao Li, Weidong Yang, Yue Cui, Xiaoxing Liu, Lingkai Meng, Lipeng Ma, Fan Zhang

CoRR, July, 2025

Consistent and Invariant Generalization Learning for Short-video Misinformation Detection.

Hanghui Guo, Weijie Shi, Mengze Li, Juncheng Li, Hao Chen, Yue Cui, Jiajie Xu, Jia Zhu, Jiawei Shen, Zhangze Chen, Sirui Han

CoRR, July, 2025

Semantic-guided Diverse Decoding for Large Language Model.

Weijie Shi, Yue Cui, Yaguang Wu, Jingzhi Fang, Shibo Zhang, Mengze Li, Sirui Han, Jia Zhu, Jiajie Xu, Xiaofang Zhou

CoRR, June, 2025

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.

Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Yan Zhao, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou, Kai Zheng

CoRR, June, 2025

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection.

Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou

CoRR, May, 2025

Adaptation Method for Misinformation Identification.

Yangping Chen, Weijie Shi, Mengze Li, Yue Cui, Hao Chen, Jia Zhu, Jiajie Xu

CoRR, April, 2025

A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning.

Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Keqin Zhong, Bingyi Liu, Bolin Ding, Xiaofang Zhou

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists.

Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.

Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., May, 2024

A Survey on Contribution Evaluation in Vertical Federated Learning.

Yue Cui, Chung-ju Huang, Yuzhu Zhang, Leye Wang, Lixin Fan, Xiaofang Zhou, Qiang Yang

CoRR, 2024

A Bargaining-based Approach for Feature Trading in Vertical Federated Learning.

Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou

CoRR, 2024

An Auction-based Marketplace for Model Trading in Federated Learning.

Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou

CoRR, 2024

ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction.

Shuhao Li, Yue Cui, Libin Li, Weidong Yang, Fan Zhang, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FRESH: Towards Efficient Graph Queries in an Outsourced Graph.

Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage.

Liwei Deng, Yan Zhao, Yue Cui, Yuyang Xia, Jin Chen, Kai Zheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Seeing the Forest for the Trees: Road-Level Insights Assisted Lane-Level Traffic Prediction.

Shuhao Li, Yue Cui, Jingyi Xu, Jing Zhao, Fan Zhang, Weidong Yang, Xiaofang Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines.

Kai Huang, Houdong Liang, Chongchong Yao, Xi Zhao, Yue Cui, Yao Tian, Ruiyuan Zhang, Xiaofang Zhou

Proc. VLDB Endow., 2023

Controllable Universal Fair Representation Learning.

Yue Cui, Chen Ma, Kai Zheng, Lei Chen, Xiaofang Zhou

Proceedings of the ACM Web Conference 2023, 2023

ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework.

Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction.

Shuhao Li, Yue Cui, Yan Zhao, Weidong Yang, Ruiyuan Zhang, Xiaofang Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach.

Yue Cui, Hao Sun, Yan Zhao, Hongzhi Yin, Kai Zheng

ACM Trans. Inf. Syst., 2022

MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis.

Jiandong Xie, Yue Cui, Feiteng Huang, Chao Liu, Kai Zheng

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

Task Assignment with Spatio-temporal Recommendation in Spatial Crowdsourcing.

Chen Zhu, Yue Cui, Yan Zhao, Kai Zheng

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting.

Yue Cui, Kai Zheng, Dingshan Cui, Jiandong Xie, Liwei Deng, Feiteng Huang, Xiaofang Zhou

Proc. VLDB Endow., 2021

Historical Inertia: An Ignored but Powerful Baseline for Long Sequence Time-series Forecasting.

Yue Cui, Jiandong Xie, Kai Zheng

CoRR, 2021

Fair Representation Learning in Knowledge-aware Recommendation.

Bingke Xu, Yue Cui, Zipeng Sun, Liwei Deng, Kai Zheng

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Personalized Dynamic Knowledge-Aware Recommendation with Hybrid Explanations.

Hao Sun, Zijian Wu, Yue Cui, Liwei Deng, Yan Zhao, Kai Zheng

Proceedings of the Database Systems for Advanced Applications, 2021

Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction.

Yue Cui, Chen Zhu, Guanyu Ye, Ziwei Wang, Kai Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting.

Yue Cui, Jiandong Xie, Kai Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach.

Yan Zhao, Kai Zheng, Yue Cui, Han Su, Feida Zhu, Xiaofang Zhou

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Hidden POI Ranking with Spatial Crowdsourcing.

Yue Cui, Liwei Deng, Yan Zhao, Bin Yao, Vincent W. Zheng, Kai Zheng

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019