Tianyi Li
Assistant Professor, Ph.D.
Department of Computer Science
3.2.33, Selma Lagerlöfs Vej 300 DK-9220, Aalborg Øst, Denmark
Email: tianyi [AT] cs.aau.dk
About me
I am a tenure-track assistant professor with Department of Computer Science, Aalborg University, Denmark. I am a faculty member in Center for Data-Intensive Systems (Daisy). I recieved the Ph.D. degree from Aalborg University, Denmark, in 2022, under the supervision of Prof. Christian S. Jensen, Prof. Lu Chen, and Prof. Torben Bach Pedersen. I won several awards including ICDE 2022 Best Paper (first author), NDBC 2022 One of the Best Papers, and ICCSIE 2022 Best Paper. I am the project co-investigator of Horizon European Framework Program (HORIZON) and Digital Research Centre Denmark Project (DIRECT).
Research Interests
My current research interests include:
- Data Management and Analytics
- Intelligent Transportation
- Database Technology
- Machine Learning
- Complex Network
- Digital Twin
Selected publications
Full publications on Google Scholar and DBLP, and * denotes the corresponding author
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling. PDF
Zhen Song, Yu Gu, Tianyi Li+*, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 2024 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2024.
SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning. PDF
Chenxu Wang, Xin Yang, Tianyi Li+, Jiaxing Wei, Pinghui Wang, Hongzhen Xiang, Christian S. Jensen.
(CORE A*, CCF A) The 40th IEEE International Conference on Data Engineering (ICDE), 2024.
TSec: An Efficient and Effective Framework for Time Series Classification. PDF
Yuanyuan Yao, Hailiang Jie, Lu Chen, Tianyi Li+, Yunjun Gao, Shiting Wen.
(CORE A*, CCF A) The 40th IEEE International Conference on Data Engineering (ICDE), 2024.
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. PDF
Jianpeng Wei, Yu Gu, Tianyi Li+, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 40th IEEE International Conference on Data Engineering (ICDE), 2024.
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network PDF
Yumeng Song, Yu Gu, Tianyi Li+, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu.
(JCR Q1, CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks PDF
Jia Wu, Tingyi Dai, Peiyuan Guan, Su Liu, Fangfang Gou, Amir Taherkordi, Yushuai Li, Tianyi Li+.
(JCR Q1, CCF C) IEEE Internet of Things Journal (IoTJ), 2024.
FedAGL: A Communication-Efficient Federated Vehicular Network. PDF
Liu Su, Yushuai Li, Peiyuan Guan, Tianyi Li+, Amir Taherkordi, Christian S. Jensen.
(JCR Q1) IEEE Transactions on Intelligent Vehicles (TIV), 2024.
Digital Twin Empowered PV Power Prediction. PDF
Xiaoyu Zhang, Yushuai Li, Tianyi Li+, Yonghao Gui, Qiuye Sun, David Wenzhong Gao.
(JCR Q1) Journal of Modern Power Systems and Clean Energy, 2024.
Real-time Workload Pattern Analysis for Large-scale Cloud Databases. PDF
Jiaqi Wang, Tianyi Li+*, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao.
(CORE A*, CCF A) The 49th International Conference on Very Large Data Bases (PVLDB), 2023.
SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting. PDF
Yuanyuan Yao, Dimeng Li, Hailiang Jie, Lu Chen, Tianyi Li+, Jie Chen, Jiaqi Wang, Feifei Li, Yunjun Gao.
(CORE A*, CCF A) The 49th International Conference on Very Large Data Bases (PVLDB), 2023.
Unsupervised Entity Alignment for Temporal Knowledge Graphs. PDF
Xiaoze Liu, Junyang Wu, Tianyi Li+, Lu Chen, Yunjun Gao.
(CORE A*, CCF A) The 2023 ACM Web Conference (WWW), 2023.
SEA: A Scalable Entity Alignment System. PDF
Junyang Wu, Tianyi Li+*, Lu Chen, Yunjun Gao, Ziheng Wei.
(CORE A*, CCF A) The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.
Spatio-temporal trajectory similarity measures: A comprehensive survey and quantitative study. PDF
Danlei Hu, Lu Chen, Hanxi Fang, Ziquan Fang, Tianyi Li+, Yunjun Gao
(JCR Q1, CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
Evolutionary Clustering of Moving Objects. PDF
Tianyi Li+, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Yunjun Gao, Jilin Hu.
(CORE A*, CCF A) The 38th IEEE International Conference on Data Engineering (ICDE), 2022.
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. PDF
Yunjun Gao, Xiaoze Liu, Jingxuan Wu, Tianyi Li+, Pengfei Wang, Lu Chen.
(CORE A*, CCF A) The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.
Distributed Resilient Double-Gradient-Descent Based Energy Management Strategy for Multi-Energy System under DoS Attacks. PDF
Yushuai Li, Tianyi Li+, Huaguang Zhang, Xiangpeng Xie, Qiuye Sun.
(JCR Q1, CCF B)IEEE Transactions on Network Science and Engineering (TNSE), 2022 .
TRACE: Real-time Compression of Streaming Trajectories in Road Networks. PDF
Tianyi Li+, Lu Chen, Christian S. Jensen, Torben Bach Pedersen.
(CORE A*, CCF A)The 47th International Conference on Very Large Data Bases (PVLDB), 2021.
Compression of Uncertain Trajectories in Road Networks. PDF
Tianyi Li+, Ruikai Huang, Lu Chen, Christian S. Jensen, Torben Bach Pedersen.
(CORE A*, CCF A) The 46th International Conference on Very Large Data Bases (PVLDB), 2020.
An Effective and Efficient Truth Discovery Framework over Data Streams. PDF
Tianyi Li+, Yu Gu, Xiangmin Zhou, Qian Ma, Ge Yu.
(CORE A, CCF B) International Conference on Extending Database Technology (EDBT), 2017.
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling. PDF
Zhen Song, Yu Gu, Tianyi Li+*, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 2024 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2024.
SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning. PDF
Chenxu Wang, Xin Yang, Tianyi Li+, Jiaxing Wei, Pinghui Wang, Hongzhen Xiang, Christian S. Jensen.
(CORE A*, CCF A) The 40th IEEE International Conference on Data Engineering (ICDE), 2024.
TSec: An Efficient and Effective Framework for Time Series Classification. PDF
Yuanyuan Yao, Hailiang Jie, Lu Chen, Tianyi Li+, Yunjun Gao, Shiting Wen.
(CORE A*, CCF A) The 40th IEEE International Conference on Data Engineering (ICDE), 2024.
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. PDF
Jianpeng Wei, Yu Gu, Tianyi Li+, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 40th IEEE International Conference on Data Engineering (ICDE), 2024.
Real-time Workload Pattern Analysis for Large-scale Cloud Databases. PDF
Jiaqi Wang, Tianyi Li+*, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao.
(CORE A*, CCF A) The 49th International Conference on Very Large Data Bases (PVLDB), 2023.
SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting. PDF
Yuanyuan Yao, Dimeng Li, Hailiang Jie, Lu Chen, Tianyi Li+, Jie Chen, Jiaqi Wang, Feifei Li, Yunjun Gao.
(CORE A*, CCF A) The 49th International Conference on Very Large Data Bases (PVLDB), 2023.
Unsupervised Entity Alignment for Temporal Knowledge Graphs. PDF
Xiaoze Liu, Junyang Wu, Tianyi Li+, Lu Chen, Yunjun Gao.
(CORE A*, CCF A) The 2023 ACM Web Conference (WWW), 2023.
SEA: A Scalable Entity Alignment System. PDF
Junyang Wu, Tianyi Li+*, Lu Chen, Yunjun Gao, Ziheng Wei.
(CORE A*, CCF A) The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.
Evolutionary Clustering of Moving Objects. PDF
Tianyi Li+, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Yunjun Gao, Jilin Hu.
(CORE A*, CCF A) The 38th IEEE International Conference on Data Engineering (ICDE), 2022.
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. PDF
Yunjun Gao, Xiaoze Liu, Jingxuan Wu, Tianyi Li+, Pengfei Wang, Lu Chen.
(CORE A*, CCF A) The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.
TRACE: Real-time Compression of Streaming Trajectories in Road Networks. PDF
Tianyi Li+, Lu Chen, Christian S. Jensen, Torben Bach Pedersen.
(CORE A*, CCF A)The 47th International Conference on Very Large Data Bases (PVLDB), 2021.
Compression of Uncertain Trajectories in Road Networks. PDF
Tianyi Li+, Ruikai Huang, Lu Chen, Christian S. Jensen, Torben Bach Pedersen.
(CORE A*, CCF A) The 46th International Conference on Very Large Data Bases (PVLDB), 2020.
An Effective and Efficient Truth Discovery Framework over Data Streams. PDF
Tianyi Li+, Yu Gu, Xiangmin Zhou, Qian Ma, Ge Yu.
(CORE A, CCF B) International Conference on Extending Database Technology (EDBT), 2017.
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network PDF
Yumeng Song, Yu Gu, Tianyi Li+, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu.
(JCR Q1, CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks PDF
Jia Wu, Tingyi Dai, Peiyuan Guan, Su Liu, Fangfang Gou, Amir Taherkordi, Yushuai Li, Tianyi Li+.
(JCR Q1, CCF C) IEEE Internet of Things Journal (IoTJ), 2024.
FedAGL: A Communication-Efficient Federated Vehicular Network. PDF
Liu Su, Yushuai Li, Peiyuan Guan, Tianyi Li+, Amir Taherkordi, Christian S. Jensen.
(JCR Q1) IEEE Transactions on Intelligent Vehicles (TIV), 2024.
Digital Twin Empowered PV Power Prediction. PDF
Xiaoyu Zhang, Yushuai Li, Tianyi Li+, Yonghao Gui, Qiuye Sun, David Wenzhong Gao.
(JCR Q1) Journal of Modern Power Systems and Clean Energy, 2024.
Spatio-temporal trajectory similarity measures: A comprehensive survey and quantitative study. PDF
Danlei Hu, Lu Chen, Hanxi Fang, Ziquan Fang, Tianyi Li+, Yunjun Gao
(JCR Q1, CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
Distributed Resilient Double-Gradient-Descent Based Energy Management Strategy for Multi-Energy System under DoS Attacks. PDF
Yushuai Li, Tianyi Li+, Huaguang Zhang, Xiangpeng Xie, Qiuye Sun.
(JCR Q1, CCF B)IEEE Transactions on Network Science and Engineering (TNSE), 2022 .
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling. PDF
Zhen Song, Yu Gu, Tianyi Li+*, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 2024 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2024.
SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning. PDF
Chenxu Wang, Xin Yang, Tianyi Li+, Jiaxing Wei, Pinghui Wang, Hongzhen Xiang, Christian S. Jensen.
(CORE A*, CCF A) The 40th IEEE International Conference on Data Engineering (ICDE), 2024.
TSec: An Efficient and Effective Framework for Time Series Classification. PDF
Yuanyuan Yao, Hailiang Jie, Lu Chen, Tianyi Li+, Yunjun Gao, Shiting Wen.
(CORE A*, CCF A) The 40th IEEE International Conference on Data Engineering (ICDE), 2024.
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. PDF
Jianpeng Wei, Yu Gu, Tianyi Li+, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 40th IEEE International Conference on Data Engineering (ICDE), 2024.
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network PDF
Yumeng Song, Yu Gu, Tianyi Li+, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu.
(JCR Q1, CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks PDF
Jia Wu, Tingyi Dai, Peiyuan Guan, Su Liu, Fangfang Gou, Amir Taherkordi, Yushuai Li, Tianyi Li+.
(JCR Q1, CCF C) IEEE Internet of Things Journal (IoTJ), 2024.
FedAGL: A Communication-Efficient Federated Vehicular Network. PDF
Liu Su, Yushuai Li, Peiyuan Guan, Tianyi Li+, Amir Taherkordi, Christian S. Jensen.
(JCR Q1) IEEE Transactions on Intelligent Vehicles (TIV), 2024.
Digital Twin Empowered PV Power Prediction. PDF
Xiaoyu Zhang, Yushuai Li, Tianyi Li+, Yonghao Gui, Qiuye Sun, David Wenzhong Gao.
(JCR Q1) Journal of Modern Power Systems and Clean Energy, 2024.
Real-time Workload Pattern Analysis for Large-scale Cloud Databases. PDF
Jiaqi Wang, Tianyi Li+*, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao.
(CORE A*, CCF A) The 49th International Conference on Very Large Data Bases (PVLDB), 2023.
SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting. PDF
Yuanyuan Yao, Dimeng Li, Hailiang Jie, Lu Chen, Tianyi Li+, Jie Chen, Jiaqi Wang, Feifei Li, Yunjun Gao.
(CORE A*, CCF A) The 49th International Conference on Very Large Data Bases (PVLDB), 2023.
Unsupervised Entity Alignment for Temporal Knowledge Graphs. PDF
Xiaoze Liu, Junyang Wu, Tianyi Li+, Lu Chen, Yunjun Gao.
(CORE A*, CCF A) The 2023 ACM Web Conference (WWW), 2023.
SEA: A Scalable Entity Alignment System. PDF
Junyang Wu, Tianyi Li+*, Lu Chen, Yunjun Gao, Ziheng Wei.
(CORE A*, CCF A) The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.
Spatio-temporal trajectory similarity measures: A comprehensive survey and quantitative study. PDF
Danlei Hu, Lu Chen, Hanxi Fang, Ziquan Fang, Tianyi Li+, Yunjun Gao
(JCR Q1, CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
Evolutionary Clustering of Moving Objects. PDF
Tianyi Li+, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Yunjun Gao, Jilin Hu.
(CORE A*, CCF A) The 38th IEEE International Conference on Data Engineering (ICDE), 2022.
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. PDF
Yunjun Gao, Xiaoze Liu, Jingxuan Wu, Tianyi Li+, Pengfei Wang, Lu Chen.
(CORE A*, CCF A) The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.
Distributed Resilient Double-Gradient-Descent Based Energy Management Strategy for Multi-Energy System under DoS Attacks. PDF
Yushuai Li, Tianyi Li+, Huaguang Zhang, Xiangpeng Xie, Qiuye Sun.
(JCR Q1, CCF B)IEEE Transactions on Network Science and Engineering (TNSE), 2022 .
TRACE: Real-time Compression of Streaming Trajectories in Road Networks. PDF
Tianyi Li+, Lu Chen, Christian S. Jensen, Torben Bach Pedersen.
(CORE A*, CCF A)The 47th International Conference on Very Large Data Bases (PVLDB), 2021.
Compression of Uncertain Trajectories in Road Networks. PDF
Tianyi Li+, Ruikai Huang, Lu Chen, Christian S. Jensen, Torben Bach Pedersen.
(CORE A*, CCF A) The 46th International Conference on Very Large Data Bases (PVLDB), 2020.
An Effective and Efficient Truth Discovery Framework over Data Streams. PDF
Tianyi Li+, Yu Gu, Xiangmin Zhou, Qian Ma, Ge Yu.
(CORE A, CCF B) International Conference on Extending Database Technology (EDBT), 2017.
Selected Awards
Best Paper, The 36th IEEE International Conference on Data Engineering (ICDE), 2022
One of the Best Papers, The 39th National Database Conference (NDBC), 2022
Best Paper, International Conference on Cyber-energy Systems and Intelligent Energies (ICCSIE), 2022
Students
Xiushang Wu
January 2024 to present PhD Student (Joint supervisors: Kristian Torp and Christian S. Jensen) Topic: Trajectory data cleaningYumeng Song
October 2022 to September 2024 Ph.D. candidate from Northeastern Univeristy Topic: Trajectory AnalyticsZhen Song
October 2022 to November 2023 Ph.D. candidate from Northeastern Univeristy Topic: Spatio-Temporal Graph Neural NetworksZhongming Yao
December 2023 to November 2024 Ph.D. candidate from Northeastern Univeristy Topic: Trajectory Data Management with BlockchainTiantian Liu
September 2023 to January 2024 Postdoc Researcher (Joint advisors: Kristian Torp and Christian S. Jensen) Topic: Optimized Maritime CommunicationHaomin Yu
March 2024 to present Postdoc Researcher (Joint advisors: Kristian Torp and Christian S. Jensen) Topic: Maritime Data PredictionProjects
Co-investigator, Horizon European Framework Program (HORIZON), MobiSpaces: New Data Spaces for Green Mobility.
Co-investigator, Digital Research Centre Denmark Project (DIRECT), Multimodal Data Processing of Earth Observation Data.
Selected services
2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Workshop on Optimal and Green Operation of Multi-energy Smart Grids
PC Co-chair
The 38th AAAI Conference on Artificial Intelligence (AAAI 2024)
PC Member
2024 International Joint Conference on Artificial Intelligence (IJCAI 2024)
PC Member
The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)
PC Member
The Conference on Information and Knowledge Management (CIKM 2024)
PC Member
The 2024 SIAM International Conference on Data Mining (SDM 2024)
PC Member
The 39th IEEE International Conference on Data Engineering (ICDE 2023)
PC Member
The 38th AAAI Conference on Artificial Intelligence (AAAI 2023)
PC Member
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)
PC Member
The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)
PC Member
The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022)
PC Member
Mathematics, Special Issue "Mathematical Modeling for Parallel and Distributed Processing"
Leading Guest Editor
The institution of Engineering and Technology (IET), Special Issue "Distributed Optimization and Machine Learning for Resilient Energy Systems"
Guest Editor
Teaching
Lecturer, Algorithm and Data Structures, Fall 2022-2023
Acknowledgement
This website uses the website design and template by Hengyu Liu, Martin Saveski, Zitao Liu and Tatsunori Hashimoto