Tianyi Li

According to our database, Tianyi Li authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study.

Danlei Hu, Lu Chen, Hanxi Fang, Ziquan Fang, Tianyi Li, Yunjun Gao

IEEE Trans. Knowl. Data Eng., May, 2024

FedAGL: A Communication-Efficient Federated Vehicular Network.

Su Liu, Yushuai Li, Peiyuan Guan, Tianyi Li, Jiong Yu, Amir Taherkordi, Christian S. Jensen

IEEE Trans. Intell. Veh., February, 2024

2023

ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling.

Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu

Proc. ACM Manag. Data, December, 2023

SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting.

Yuanyuan Yao, Dimeng Li, Hailiang Jie, Lu Chen, Tianyi Li, Jie Chen, Jiaqi Wang, Feifei Li, Yunjun Gao

Proc. VLDB Endow., 2023

Real-time Workload Pattern Analysis for Large-scale Cloud Databases.

Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao

Proc. VLDB Endow., 2023

Efficient Cost Modeling of Space-filling Curves.

Guanli Liu, Lars Kulik, Christian S. Jensen, Tianyi Li, Jianzhong Qi

CoRR, 2023

CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network.

Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu

CoRR, 2023

Unsupervised Entity Alignment for Temporal Knowledge Graphs.

Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao

Proceedings of the ACM Web Conference 2023, 2023

SEA: A Scalable Entity Alignment System.

Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao, Ziheng Wei

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.

Yushuai Li, Tianyi Li, Huaguang Zhang, Xiangpeng Xie, Qiuye Sun

IEEE Trans. Netw. Sci. Eng., 2022

Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories.

Danlei Hu, Ziquan Fang, Hanxi Fang, Tianyi Li, Chunhui Shen, Lu Chen, Yunjun Gao

CoRR, 2022

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities.

Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen

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.

Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Yunjun Gao, Jilin Hu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

TRACE: Real-time Compression of Streaming Trajectories in Road Networks.

Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen

Proc. VLDB Endow., 2021

Evolutionary Clustering of Streaming Trajectories.

Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Jilin Hu

CoRR, 2021

2020

Compression of Uncertain Trajectories in Road Networks.

Tianyi Li, Ruikai Huang, Lu Chen, Christian S. Jensen, Torben Bach Pedersen

Proc. VLDB Endow., 2020

2017

An Effective and Efficient Truth Discovery Framework over Data Streams.

Tianyi Li, Yu Gu, Xiangmin Zhou, Qian Ma, Ge Yu

Proceedings of the 20th International Conference on Extending Database Technology, 2017