Tianyi Li

Orcid: 0000-0001-5424-6442

Affiliations:
  • Aalborg University, Department of Computer Science, Denmark
  • Northeastern University, School of Computer Science and Engineering, Shenyang, China (former)


According to our database1, Tianyi Li authored at least 44 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Blockchain and Federated Learning in P2P Energy Trading: Privacy Protection and Prosumer Incentives.
IEEE Trans. Ind. Informatics, December, 2025

Moon: A Modality Conversion-based Efficient Multivariate Time Series Anomaly Detection.
CoRR, October, 2025

Advancing Knowledge Tracing by Exploring Follow-up Performance Trends.
CoRR, August, 2025

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version).
CoRR, July, 2025

OneDB: A Distributed Multi-Metric Data Similarity Search System.
CoRR, July, 2025

SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training.
Proc. ACM Manag. Data, June, 2025

Joint V2V Group Association and Transmission Power Control in Federated Vehicular Networks.
IEEE Internet Things J., June, 2025

ACTIVE: Continuous Similarity Search for Vessel Trajectories.
CoRR, April, 2025

UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings.
IEEE Trans. Knowl. Data Eng., March, 2025

SimRN: Trajectory Similarity Learning in Road Networks based on Distributed Deep Reinforcement Learning.
Proc. VLDB Endow., March, 2025

Digital Twin for Secure Peer-to-Peer Trading in Cyber-Physical Energy Systems.
IEEE Trans. Netw. Sci. Eng., 2025

Kano Model for Enhanced Satisfaction in User-Centric EV Charging and P2P Energy Trading.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction.
Proceedings of the 19th International Symposium on Spatial and Temporal Data, 2025

VGQ: Enabling Verifiable Graph Queries on Blockchain Systems.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
<i>Camel:</i> Efficient Compression of Floating-Point Time Series.
Proc. ACM Manag. Data, December, 2024

Estimator: An Effective and Scalable Framework for Transportation Mode Classification Over Trajectories.
IEEE Trans. Intell. Transp. Syst., November, 2024

T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data.
Proc. VLDB Endow., November, 2024

LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison.
Proc. VLDB Endow., November, 2024

Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification.
Proc. VLDB Endow., October, 2024

CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network.
IEEE Trans. Knowl. Data Eng., September, 2024

Efficient Cost Modeling of Space-filling Curves.
Proc. VLDB Endow., September, 2024

A Demonstration of TENDS: Time Series Management System based on Model Selection.
Proc. VLDB Endow., August, 2024

DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training.
Proc. VLDB Endow., July, 2024

FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks.
IEEE Internet Things J., June, 2024

Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study.
IEEE Trans. Knowl. Data Eng., May, 2024

FedAGL: A Communication-Efficient Federated Vehicular Network.
IEEE Trans. Intell. Veh., February, 2024

Digital Twin-Empowered Voltage Control for Power Systems.
CoRR, 2024

UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings.
CoRR, 2024

TSec: An Efficient and Effective Framework for Time Series Classification.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling.
Proc. ACM Manag. Data, December, 2023

SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting.
Proc. VLDB Endow., 2023

Real-time Workload Pattern Analysis for Large-scale Cloud Databases.
Proc. VLDB Endow., 2023

Efficient Cost Modeling of Space-filling Curves.
CoRR, 2023

Unsupervised Entity Alignment for Temporal Knowledge Graphs.
Proceedings of the ACM Web Conference 2023, 2023

SEA: A Scalable Entity Alignment System.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Distributed Resilient Double-Gradient-Descent Based Energy Management Strategy for Multi-Energy System Under DoS Attacks.
IEEE Trans. Netw. Sci. Eng., 2022

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Evolutionary Clustering of Moving Objects.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
TRACE: Real-time Compression of Streaming Trajectories in Road Networks.
Proc. VLDB Endow., 2021

Evolutionary Clustering of Streaming Trajectories.
CoRR, 2021

2020
Compression of Uncertain Trajectories in Road Networks.
Proc. VLDB Endow., 2020

2017
An Effective and Efficient Truth Discovery Framework over Data Streams.
Proceedings of the 20th International Conference on Extending Database Technology, 2017


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