Selected Recent Publications
[DBLP Entry] [Google Scholar Profile]
Data Management & Machine Learning
- Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu: Optimizing Video Queries with Declarative CLUEs, to appear in Proceedings of the VLDB Endowment, Vol. 17, 2024 (VLDB 2024).
- Daren Chao, Nick Koudas, Xiaohui Yu, Yueting Chen: Ensembling Object Detectors for Effective Video Query Processing, to appear in Proceedings of the International Conference on Extending Database Technology (EDBT 2025).
- Yifan Li, Xiaohui Yu, Nick Koudas: Data Acquisition for Improving Model Confidence, in Proceedings of the ACM on Management of Data (SIGMOD 2024), Vol. 2, No. 3, Article 131. (author's copy)
- Chaohong Ma, Xiaohui Yu, Yifan Li, Xiaofeng Meng, Maoliniyazi Aishan: FILM: a Fully Learned Index for Larger-than-Memory Databases, in Proceedings of the VLDB Endowment, Vol. 16, No. 3, pages 561 - 573, 2023 (VLDB 2023).
- Yifan Li, Xiaohui Yu, Nick Koudas, Shu Lin, Chong Chen, Calvin Sun: dbET: Execution Time Distribution-based Plan Selection, in Proceedings of the ACM on Management of Data, 1(1): 31:1-31:26 (SIGMOD 2023).
- Daren Chao, Nick Koudas, Xiaohui Yu: Marshalling Model Inference In Video Streams, in Proceedings of the IEEE International Conference on Data Engineering (ICDE 2023): 1379-1392.
- Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu: Track Merging for Effective Video Query Processing, in Proceedings of the IEEE International Conference on Data Engineering (ICDE 2023): 164-176.
- Yueting Chen, Nick Koudas, Xiaohui Yu, Ziqiang Yu: Spatial and Temporal Constrained Ranked Retrieval over Videos, in Proceedings of the VLDB Endowment, Vol. 15, No. 11, 2022 (VLDB 2022)
- Yueting Chen, Xiaohui Yu, Nick Koudas: Ranked Window Query Retrieval over Video Repositories, in Proceedings of the IEEE International Conference on Data Engineering (ICDE 2022).
- Yifan Li, Xiaohui Yu, Nick Koudas: LES3: Learning-based Exact Set Similarity Search, in Proceedings of VLDB Endowment, Vol. 14, 2021 (VLDB 2021).
- Yifan Li, Xiaohui Yu, Nick Koudas: Data Acquisition for Improving Machine Learning Models, in Proceedings of the VLDB Endowment, 14(10):1832 - 1844, 2021 (VLDB 2021). (preprint)
- Yueting Chen, Xiaohui Yu, Nick Koudas, Ziqiang Yu: Evaluating Temporal Queries Over Video Feeds, in Proceedings of the ACM SIGMOD Conference on Management of Data (SIGMOD 2021): 287-299. (Technical Report)
- Zhaoyue Cheng, Nick Koudas, Zhe Zhang, Xiaohui Yu: Efficient Construction of Nonlinear Models over Normalized Data, in Proceedings of the IEEE International Conference on Data Engineering (ICDE 2021):1140-1151. (Technical Report).
- Yueting Chen, Xiaohui Yu, Nick Koudas: TQVS: Temporal Queries over Video Streams in Action. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2020): 2737-2740. (Demo Paper)
- Yunhai Wang, Kang Feng, Xiaowei Chu, Jian Zhang, Chi-Wing Fu, Michael Sedlmair, Xiaohui Yu, Baoquan Chen: A Perception-Driven Approach to Supervised Dimensionality Reduction for Visualization. IEEE Transactions on Visualization and Computer Graphics (TVCG) 24(5): 1828-1840 (2018)
Spatio-Temporal Data Management & Mining
ST Data Management
- Ziqiang Yu, Xiaohui Yu, Tao Zhou, Yueting Chen, Yang Liu, Bohan Li. ODIN: Object Density Aware Indexing for CkNN Query Processing over Moving Objects, in IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted, December 2023.
- Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yueting Chen, Yang Liu. A Distributed Solution for Efficient K Shortest Paths Computation Over Dynamic Road Networks, in IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(7): 2759-2773, July 2024. (author's version)
- Yunhai Wang, Yuchun Wang, Xin Chen, Yue Zhao, Fan Zhang, Eugene Wu, Chi-Wing Fu, Xiaohui Yu: OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series, in Proceedings of the ACM on Management of Data 1(2): 145:1-145:24 (SIGMOD 2023).
- Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yang Liu, Yifan Li, Yueting Chen, Dingyu Yang: Distributed Processing of k Shortest Path Queries over Dynamic Road Networks. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2020): 665-679. (full technical report)
- Yifan Li, Xiaohui Yu, Nick Koudas: Top-K Queries over Digital Traces. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2019): 954-971. [Publisher Version]
- Xingcan Cui, Xiaohui Yu, Xiaofang Zhou, Jiong Guo: ID Repair for Trajectories with Transition Graphs. Proceedings of the 21st International Conference on Extending Database Technology (EDBT 2018), March 26-29, 2018.
ST Data Mining
- Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie: TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation, ACM Transactions on Information Systems (TOIS) 41(4): 112:1-112:24, 2023
- Haoran Xu, Ronghui Xu, Meng Chen, Yang Liu, Xiaohui Yu: CAVE-SC: Inferring Categories for Venues Using Check-ins, Information Sciences, Vol. 611, September 2022: 159-172.
- Tianao Sun, Kai Zhao, Chao Zhang, Meng Chen, Xiaohui Yu: PR-LTTE: Link Travel Time Estimation Based on Path Recovery from Large-scale Incomplete Trip Data, Information Sciences, Vol. 589, 2022: 34-45.
- Ning An, Meng Chen, Li Lian, Peng Li, Kai Zhang, Xiaohui Yu, Yilong Yin: Enabling the interpretability of pretrained venue representations using semantic categories, Knowledge-Based Systems, Vol. 235, January 2022: 107623.
- Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin: Embedding Hierarchical Structures for Venue Category Representation, ACM Transactions on Information Systems (TOIS), 40(3): Article 57, 2022.
- Xiaoyi Jia, Xiaoyu Dong, Meng Chen, Xiaohui Yu: Missing Data Imputation for Traffic Congestion Data Based on Joint Matrix Factorization, Knowledge-Based Systems, Vol. 225, August 2021.
- Min Liu, Zhaohui Peng, Xiaohui Yu, Senzhang Wang, Qiao Song: LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories, in Proceedings of the 2021 SIAM International Conference on Data Mining (SDM 2021): 73-81.
- Meng Chen, Qingjie Liu, Weiming Huang, Teng Zhang, Yixuan Zuo, Xiaohui Yu: Origin-aware Location Prediction Based on Historical Vehicle Trajectories, to appear in ACM Transactions on Intelligent Systems and Technology (TIST).
- Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng: Modeling Spatial Trajectories with Attribute Representation Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE), early access, 2020
- Meng Chen, Yixuan Zuo, Xiaoyi Jia, Yang Liu, Xiaohui Yu, Kai Zheng: CEM: A Convolutional Embedding Model for Predicting Next Locations, in IEEE Trans. Intelligent Transportation Systems (T-ITS), 22(6): 3349-3358, 2021
- Meng Chen, Xiaohui Yu, Yang Liu: TraLFM: Latent Factor Modeling of Traffic Trajectory Data. IEEE Trans. Intelligent Transportation Systems (T-ITS), 20(12), 4624 - 4634 (2019). [Publisher Version]
- Meng Chen, Xiaohui Yu, Yang Liu: MPE: A Mobility Pattern Embedding Model for Predicting Next Locations. World Wide Web, 22(6), 2901-2920 (2019)
- Meng Chen, Xiaohui Yu, Yang Liu: PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction. IEEE Trans. Intelligent Transportation Systems (T-ITS), 19(11): 3550-3559 (2018)
Keyword Search, Natural Language Processing
- Omer Tal, Yang Liu, Jimmy Huang, Xiaohui Yu, Bushra Aljbawi: Neural Attention Frameworks for Explainable Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(5):2137-2150, 2021
- Jianhua Yin, Daren Chao, Zhongkun Liu, Wei Zhang, Xiaohui Yu, Jianyong Wang: Model-based Clustering of Short Text Streams. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2018): 2634-2642
- Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chnh T. Hong, Xiaohui Yu, Yang Liu: Eating Healthier: Exploring Nutrition Information for Healthier Recipe Recommendation. Information Processing & Management (IP&M), 57(6): 102051 (2020) [Publisher Version]
- Xiaohui Yu, Ziqiang Yu, Yang Liu, Huxia Shi: CI-Rank: Collective Importance Ranking for Keyword Search in Databases. Information Sciences, Volume 384: 1-20 (2017)