Tianyi Li
Orcid: 0000-0001-5424-6442Affiliations:
- 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:
Collaborative distances:
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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
CoRR, August, 2025
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version).
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
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
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
Proceedings of the 19th International Symposium on Spatial and Temporal Data, 2025
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
2024
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
Proc. VLDB Endow., November, 2024
Proc. VLDB Endow., November, 2024
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification.
Proc. VLDB Endow., October, 2024
IEEE Trans. Knowl. Data Eng., September, 2024
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
IEEE Trans. Intell. Veh., February, 2024
CoRR, 2024
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
Proc. ACM Manag. Data, December, 2023
SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting.
Proc. VLDB Endow., 2023
Proc. VLDB Endow., 2023
Proceedings of the ACM Web Conference 2023, 2023
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
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Proc. VLDB Endow., 2021
2020
2017
Proceedings of the 20th International Conference on Extending Database Technology, 2017