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

Minimum Strongly Connected Subgraph Collection in Dynamic Graphs.
Proc. VLDB Endow., February, 2024

Efficient High-Quality Clustering for Large Bipartite Graphs.
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

SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network.
CoRR, 2024

Effective Clustering on Large Attributed Bipartite Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

An Improved Music Algorithm Based on One-Bit Datas : One-Bit MMUSIC.
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

Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph.
Proceedings of the Database Systems for Advanced Applications, 2024

SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
PANE: scalable and effective attributed network embedding.
VLDB J., November, 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 stabilized self-training on few-labeled graph data.
Inf. Sci., 2023

A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull., 2023

SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection.
CoRR, 2023

Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks.
CoRR, 2023

LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SlotGAT: Slot-based Message Passing for Heterogeneous Graphs.
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

Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

2022
Multi-Task Learning for Recommendation Over Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng., 2022

No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server.
SIGMOD Rec., 2022

Scalable and Effective Bipartite Network Embedding.
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

Example-based Spatial Search at Scale.
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

Effective and Scalable Clustering on Massive Attributed Graphs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

MOTS: Minimax Optimal Thompson Sampling.
Proceedings of the 38th International Conference on Machine Learning, 2021

Top-k Closest Pair Queries over Spatial Knowledge Graph.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Top-k relevant semantic place retrieval on spatiotemporal RDF data.
VLDB J., 2020

Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank.
Proc. VLDB Endow., 2020

Scaling Attributed Network Embedding to Massive Graphs.
Proc. VLDB Endow., 2020

Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs.
Proc. VLDB Endow., 2020

2019
Realtime Top-k Personalized PageRank over Large Graphs on GPUs.
Proc. VLDB Endow., 2019

Homogeneous Network Embedding for Massive Graphs via Personalized PageRank.
CoRR, 2019

Efficient Pure Exploration in Adaptive Round model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Density-Based Place Clustering Using Geo-Social Network Data.
IEEE Trans. Knowl. Data Eng., 2018

2016
Textually Relevant Spatial Skylines.
IEEE Trans. Knowl. Data Eng., 2016

Top-k Relevant Semantic Place Retrieval on Spatial RDF Data.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Queries and analysis tasks on semantically rich spatial data.
PhD thesis, 2015

Clustering in Geo-Social Networks.
IEEE Data Eng. Bull., 2015

2014
Density-based place clustering in geo-social networks.
Proceedings of the International Conference on Management of Data, 2014


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