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2024 Journal Article Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive OptimizationChen, Lin, Ding, Xiaofeng, Bao, Zhifeng, Zhou, Pan and Jin, Hai (2024). Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. IEEE Transactions on Knowledge and Data Engineering, 36 (9), 4567-4581. doi: 10.1109/tkde.2024.3379001 |
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2024 Journal Article Robust Multi-Kernel Nearest Neighborhood for Outlier DetectionWang, Xinye, Duan, Lei, Yu, Zhenyang, He, Chengxin and Bao, Zhifeng (2024). Robust Multi-Kernel Nearest Neighborhood for Outlier Detection. IEEE Transactions on Knowledge and Data Engineering, 36 (8), 4220-4231. doi: 10.1109/tkde.2024.3364179 |
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2024 Conference Publication Cost-effective Data Labelling for Graph Neural NetworksHuang, Shixun, Lee, Ge, Bao, Zhifeng and Pan, Shirui (2024). Cost-effective Data Labelling for Graph Neural Networks. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645339 |
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2023 Journal Article Lemo: A Cache-Enhanced Learned Optimizer for Concurrent QueriesMo, Songsong, Chen, Yile, Wang, Hao, Cong, Gao and Bao, Zhifeng (2023). Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. Proceedings of the ACM on Management of Data, 1 (4), 1-26. doi: 10.1145/3626734 |
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2023 Journal Article Shortest Paths Discovery in Uncertain Networks via Transfer LearningHuang, Shixun and Bao, Zhifeng (2023). Shortest Paths Discovery in Uncertain Networks via Transfer Learning. Proceedings of the ACM on Management of Data, 1 (2), 1-25. doi: 10.1145/3589286 |
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2023 Journal Article Efficient and Effective Algorithms for Generalized Densest Subgraph DiscoveryXu, Yichen, Ma, Chenhao, Fang, Yixiang and Bao, Zhifeng (2023). Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery. Proceedings of the ACM on Management of Data, 1 (2), 1-27. doi: 10.1145/3589314 |
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2023 Journal Article Managing Conflicting Interests of Stakeholders in Influencer MarketingHuang, Shixun, Gan, Junhao, Bao, Zhifeng and Lin, Wenqing (2023). Managing Conflicting Interests of Stakeholders in Influencer Marketing. Proceedings of the ACM on Management of Data, 1 (1), 1-27. doi: 10.1145/3588934 |
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2023 Journal Article Dynamic ridesharing with minimal regret: towards an enhanced engagement among three stakeholdersWang, Tingting, Luo, Hui, Bao, Zhifeng and Duan, Lei (2023). Dynamic ridesharing with minimal regret: towards an enhanced engagement among three stakeholders. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3712-3726. doi: 10.1109/tkde.2022.3141368 |
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2023 Journal Article A Query Optimizer for Range Queries over Multi-Attribute TrajectoriesXu, Jianqiu, Lu, Hua and Bao, Zhifeng (2023). A Query Optimizer for Range Queries over Multi-Attribute Trajectories. ACM Transactions on Intelligent Systems and Technology, 14 (1) 12, 1-28. doi: 10.1145/3555811 |
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2022 Journal Article Differentially Private Triangle Counting in Large GraphsDing, Xiaofeng, Sheng, Shujun, Zhou, Huajian, Zhang, Xiaodong, Bao, Zhifeng, Zhou, Pan and Jin, Hai (2022). Differentially Private Triangle Counting in Large Graphs. IEEE Transactions on Knowledge and Data Engineering, 34 (11), 5278-5292. doi: 10.1109/tkde.2021.3052827 |
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2022 Journal Article Towards an Optimal Bus Frequency Scheduling: When the Waiting Time MattersMo, Songsong, Bao, Zhifeng, Zheng, Baihua and Peng, Zhiyong (2022). Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters. IEEE Transactions on Knowledge and Data Engineering, 34 (9), 4484-4498. doi: 10.1109/tkde.2020.3036573 |
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2022 Journal Article Location-Centered House Price Prediction: A Multi-Task Learning ApproachGao, Guangliang, Bao, Zhifeng, Cao, Jie, Qin, A. K. and Sellis, Timos (2022). Location-Centered House Price Prediction: A Multi-Task Learning Approach. ACM Transactions on Intelligent Systems and Technology, 13 (2), 1-25. doi: 10.1145/3501806 |
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2021 Conference Publication Robust Road Network Representation Learning : When Traffic Patterns Meet Traveling SemanticsChen, Yile, Li, Xiucheng, Cong, Gao, Bao, Zhifeng, Long, Cheng, Liu, Yiding, Chandran, Arun Kumar and Ellison, Richard (2021). Robust Road Network Representation Learning : When Traffic Patterns Meet Traveling Semantics. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Online, 1 - 5 November 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3459637.3482293 |
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2021 Journal Article AOI-shapes: An Efficient Footprint Algorithm to Support Visualization of User-defined Urban Areas of InterestLi, Mingzhao, Bao, Zhifeng, Choudhury, Farhana, Samet, Hanan, Duckham, Matt and Sellis, Timos (2021). AOI-shapes: An Efficient Footprint Algorithm to Support Visualization of User-defined Urban Areas of Interest. ACM Transactions on Interactive Intelligent Systems, 11 (3-4), 1-32. doi: 10.1145/3431817 |
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2021 Journal Article Dynamic ridesharing in peak travel periodsLuo, Hui, Bao, Zhifeng, Choudhury, Farhana M. and Culpepper, J. Shane (2021). Dynamic ridesharing in peak travel periods. IEEE Transactions on Knowledge and Data Engineering, 33 (7) 8937731, 2888-2902. doi: 10.1109/tkde.2019.2961341 |
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2021 Conference Publication Public Transport Planning : When Transit Network Connectivity Meets Commuting DemandWang, Sheng, Sun, Yuan, Musco, Christopher and Bao, Zhifeng (2021). Public Transport Planning : When Transit Network Connectivity Meets Commuting Demand. SIGMOD/PODS '21: International Conference on Management of Data, Online, 20 - 25 June 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3448016.3457247 |
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2021 Conference Publication Minimizing the Regret of an Influence ProviderZhang, Yipeng, Li, Yuchen, Bao, Zhifeng, Zheng, Baihua and Jagadish, H. V. (2021). Minimizing the Regret of an Influence Provider. SIGMOD/PODS '21: International Conference on Management of Data, Online, 20 - 25 June 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3448016.3457257 |
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2021 Conference Publication Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling ApproachHuang, Shixun, Li, Yuchen, Bao, Zhifeng and Li, Zhao (2021). Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19-22 April 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde51399.2021.00052 |
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2021 Journal Article A survey on trajectory data management, analytics, and learningWang, Sheng, Bao, Zhifeng, Culpepper, J. Shane and Cong, Gao (2021). A survey on trajectory data management, analytics, and learning. ACM Computing Surveys, 54 (2) 39, 1-36. doi: 10.1145/3440207 |
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2021 Journal Article A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan EnumerationLan, Hai, Bao, Zhifeng and Peng, Yuwei (2021). A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. Data Science and Engineering, 6 (1), 86-101. doi: 10.1007/s41019-020-00149-7 |
