Jieming Shi
Orcid: 0000-0002-0465-1551
According to our database1,
Jieming Shi
authored at least 47 papers
between 2014 and 2024.
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Bibliography
2024
A versatile framework for attributed network clustering via K-nearest neighbor augmentation.
VLDB J., November, 2024
Proc. VLDB Endow., February, 2024
Proc. ACM Manag. Data, February, 2024
Pulse Interval Optimization for Doppler Ambiguity Clutter Suppression in Missile-Borne STAP Radar.
IEEE Geosci. Remote. Sens. Lett., 2024
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the IGARSS 2024, 2024
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the Database Systems for Advanced Applications, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Exponential Information Bottleneck Theory Against Intra-Attribute Variations for Pedestrian Attribute Recognition.
IEEE Trans. Inf. Forensics Secur., 2023
EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data.
Proc. VLDB Endow., 2023
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks.
Proc. VLDB Endow., 2023
Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation.
Proc. ACM Manag. Data, 2023
Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
SIGMOD Rec., 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization.
Proc. VLDB Endow., 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Database Systems for Advanced Applications, 2021
2020
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank.
Proc. VLDB Endow., 2020
Proc. VLDB Endow., 2020
2019
Proc. VLDB Endow., 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
IEEE Trans. Knowl. Data Eng., 2018
2016
Proceedings of the 2016 International Conference on Management of Data, 2016
2015
2014
Proceedings of the International Conference on Management of Data, 2014