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
Google Scholar DBLP
About me
I am a tenure-track assistant professor with Department of Computer Science, Aalborg University, Denmark. I am a faculty member of Data Engineering, Science and Systems (DESS) group. I received the Ph.D. degree from Aalborg University, Denmark, in 2022.
I am the recipient of 2022 IEEE International Conference on Data Engineering (ICDE) (CORE A*, CCF A) Best Paper Award (first author), 2024 IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2) Best Theoretical Paper Award (corresponding author), 2023 International Conference on Cyber Energy Systems and Intelligent Energies (ICCSIE) Best Paper Award (corresponding author), and 2022 National Database Conference (NDBC) Best Student Paper Award.
I am currently serving as an Associate Editor for IEEE Transactions on Intelligent Vehicles and IEEE Network. I am the co-investigator of Horizon European Framework Program (HORIZON) and Digital Research Centre Denmark Project (DIREC).
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
Toast: Task-Oriented Multi-dimensional Augmentation for Spatio-Temporal Trajectory Data. PDF
Junhao Zhu, Tao Wang, Lu Chen, Ziquan Fang, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2025.
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations. PDF
Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Lu Chen, Christian S. Jensen, Jiachen Xu, Tianyi Li+*.
(CORE A*, CCF A) The 42nd International Conference on Machine Learning (ICML), 2025.
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving. PDF
Yuanyuan Yao, Yuan Dong, Lu Chen, Kun Kuang, Ziquan Fang, Cheng Long, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) The 42nd International Conference on Machine Learning (ICML), 2025.
VGQ: Enabling Verifiable Graph Queries on Blockchain Systems. PDF
Zhongming Yao, Tianyi Li+*, Junchang Xin, Yushuai Li, Chenxu Wang, Zhiqiong Wang, Divesh Srivastava, Christian S. Jensen
(CORE A*, CCF A) The 41st IEEE International Conference on Data Engineering (ICDE), 2025.
SimRN: Trajectory Similarity Learning in Road Networks based on Distributed Deep Reinforcement Learning. PDF
Danlei Hu, Yilin Li, Lu Chen, Ziquan Fang, Yushuai Li, Yunjun Gao, Tianyi Li+*.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training. PDF
Zhen Song, Yu Gu, Tianyi Li+, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 2025 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2025.
T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data. PDF
Junhao Zhu, Tao Wang, Danlei Hu, Ziquan Fang, Lu Chen, Yunjun Gao, Tianyi Li+, Christian S. Jensen.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison. PDF
Junhao Ye, Jiahui Li, Lu Chen, Yuren Mao, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification PDF
Yumeng Song, Yu Gu, Tianyi Li+*, Yushuai Li, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
Camel: Efficient Compression of Floating-Point Time Series. PDF
Yuanyuan Yao, Lu Chen, Ziquan Fang, Yunjun Gao, Christian S. Jensen, Tianyi Li+.
(CORE A*, CCF A) The 2025 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2025.
Efficient Cost Modeling of Space-filling Curves. PDF
Guanli Liu, Lars Kulik, Christian S. Jensen, Tianyi Li+, Renata Borovica-Gajic, Jianzhong Qi.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
Joint V2V Group Association and Transmission Power Control in Federated Vehicular Networks. PDF
Su Liu, Peiyuan Guan, Yushuai Li, Tianyi Li+, Zolaikha Zolfagharian, Jiong Yu, Tingwen Huang.
(JCR Q1, CCF C) IEEE Internet of Things Journal (IoTJ), 2025.
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.
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training. PDF
Zhen Song, Yu Gu, Qing Sun, Tianyi Li+, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 50th International Conference on Very Large Databases (PVLDB), 2024.
A Demonstration of TENDS: Time Series Management System based on Model Selection. PDF
Yuanyuan Yao, Shenjia Dai, Yilin Li, Lu Chen, Dimeng Li, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) The 50th International Conference on Very Large Databases (PVLDB), 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.
UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings. PDF
Yan Lin, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li+, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan.
(JCR Q1, CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
Digital Twin for Secure Peer-to-Peer Trading in Cyber-Physical Energy Systems. PDF
Yushuai Li, Peiyuan Guan, Tianyi Li+, Kim Guldstrand Larsen, Marco Aiello, Torben Bach Pedersen, Tingwen Huang, Yan Zhang."
(JCR Q1, CCF B)IEEE Transactions on Network Science and Engineering (TNSE), 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.
Networked Digital Twins for Autonomous Vehicles: A New Perspective. PDF
Tianyi Li+, Yushuai Li, Yumeng Song, Zhongming Yao, Wei Gao, David Wenzhong Gao.
(JCR Q1) IEEE Transactions on Intelligent Vehicles (TIV), 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 Autonomous Driving for E-mobility. PDF
Yushuai Li, Jiachen Xu, Tianyi Li+, Elena Mocanu, Christian S. Jensen, David Wenzhong Gao, Yan Zhang.
(JCR Q1) IEEE Electrification Magazine, 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 (MPCE), 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 Databases (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 Databases (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) ACM SIGKDD International 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 Databases (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 Databases (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.
Toast: Task-Oriented Multi-dimensional Augmentation for Spatio-Temporal Trajectory Data. PDF
Junhao Zhu, Tao Wang, Lu Chen, Ziquan Fang, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2025.
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations. PDF
Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Lu Chen, Christian S. Jensen, Jiachen Xu, Tianyi Li+*.
(CORE A*, CCF A) The 42nd International Conference on Machine Learning (ICML), 2025.
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving. PDF
Yuanyuan Yao, Yuan Dong, Lu Chen, Kun Kuang, Ziquan Fang, Cheng Long, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) The 42nd International Conference on Machine Learning (ICML), 2025.
VGQ: Enabling Verifiable Graph Queries on Blockchain Systems. PDF
Zhongming Yao, Tianyi Li+*, Junchang Xin, Yushuai Li, Chenxu Wang, Zhiqiong Wang, Divesh Srivastava, Christian S. Jensen
(CORE A*, CCF A) The 41st IEEE International Conference on Data Engineering (ICDE), 2025.
SimRN: Trajectory Similarity Learning in Road Networks based on Distributed Deep Reinforcement Learning. PDF
Danlei Hu, Yilin Li, Lu Chen, Ziquan Fang, Yushuai Li, Yunjun Gao, Tianyi Li+*.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training. PDF
Zhen Song, Yu Gu, Tianyi Li+, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 2025 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2025.
T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data. PDF
Junhao Zhu, Tao Wang, Danlei Hu, Ziquan Fang, Lu Chen, Yunjun Gao, Tianyi Li+, Christian S. Jensen.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison. PDF
Junhao Ye, Jiahui Li, Lu Chen, Yuren Mao, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification PDF
Yumeng Song, Yu Gu, Tianyi Li+*, Yushuai Li, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
Camel: Efficient Compression of Floating-Point Time Series. PDF
Yuanyuan Yao, Lu Chen, Ziquan Fang, Yunjun Gao, Christian S. Jensen, Tianyi Li+.
(CORE A*, CCF A) The 2025 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2025.
Efficient Cost Modeling of Space-filling Curves. PDF
Guanli Liu, Lars Kulik, Christian S. Jensen, Tianyi Li+, Renata Borovica-Gajic, Jianzhong Qi.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
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.
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training. PDF
Zhen Song, Yu Gu, Qing Sun, Tianyi Li+, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 50th International Conference on Very Large Databases (PVLDB), 2024.
A Demonstration of TENDS: Time Series Management System based on Model Selection. PDF
Yuanyuan Yao, Shenjia Dai, Yilin Li, Lu Chen, Dimeng Li, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) The 50th International Conference on Very Large Databases (PVLDB), 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 Databases (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 Databases (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) ACM SIGKDD International 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 Databases (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 Databases (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.
Joint V2V Group Association and Transmission Power Control in Federated Vehicular Networks. PDF
Su Liu, Peiyuan Guan, Yushuai Li, Tianyi Li+, Zolaikha Zolfagharian, Jiong Yu, Tingwen Huang.
(JCR Q1, CCF C) IEEE Internet of Things Journal (IoTJ), 2025.
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.
UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings. PDF
Yan Lin, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li+, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan.
(JCR Q1, CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
Digital Twin for Secure Peer-to-Peer Trading in Cyber-Physical Energy Systems. PDF
Yushuai Li, Peiyuan Guan, Tianyi Li+, Kim Guldstrand Larsen, Marco Aiello, Torben Bach Pedersen, Tingwen Huang, Yan Zhang."
(JCR Q1, CCF B)IEEE Transactions on Network Science and Engineering (TNSE), 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.
Networked Digital Twins for Autonomous Vehicles: A New Perspective. PDF
Tianyi Li+, Yushuai Li, Yumeng Song, Zhongming Yao, Wei Gao, David Wenzhong Gao.
(JCR Q1) IEEE Transactions on Intelligent Vehicles (TIV), 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 Autonomous Driving for E-mobility. PDF
Yushuai Li, Jiachen Xu, Tianyi Li+, Elena Mocanu, Christian S. Jensen, David Wenzhong Gao, Yan Zhang.
(JCR Q1) IEEE Electrification Magazine, 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 (MPCE), 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.
Toast: Task-Oriented Multi-dimensional Augmentation for Spatio-Temporal Trajectory Data. PDF
Junhao Zhu, Tao Wang, Lu Chen, Ziquan Fang, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2025.
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations. PDF
Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Lu Chen, Christian S. Jensen, Jiachen Xu, Tianyi Li+*.
(CORE A*, CCF A) The 42nd International Conference on Machine Learning (ICML), 2025.
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving. PDF
Yuanyuan Yao, Yuan Dong, Lu Chen, Kun Kuang, Ziquan Fang, Cheng Long, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) The 42nd International Conference on Machine Learning (ICML), 2025.
VGQ: Enabling Verifiable Graph Queries on Blockchain Systems. PDF
Zhongming Yao, Tianyi Li+*, Junchang Xin, Yushuai Li, Chenxu Wang, Zhiqiong Wang, Divesh Srivastava, Christian S. Jensen
(CORE A*, CCF A) The 41st IEEE International Conference on Data Engineering (ICDE), 2025.
SimRN: Trajectory Similarity Learning in Road Networks based on Distributed Deep Reinforcement Learning. PDF
Danlei Hu, Yilin Li, Lu Chen, Ziquan Fang, Yushuai Li, Yunjun Gao, Tianyi Li+*.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training. PDF
Zhen Song, Yu Gu, Tianyi Li+, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 2025 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2025.
T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data. PDF
Junhao Zhu, Tao Wang, Danlei Hu, Ziquan Fang, Lu Chen, Yunjun Gao, Tianyi Li+, Christian S. Jensen.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison. PDF
Junhao Ye, Jiahui Li, Lu Chen, Yuren Mao, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification PDF
Yumeng Song, Yu Gu, Tianyi Li+*, Yushuai Li, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
Camel: Efficient Compression of Floating-Point Time Series. PDF
Yuanyuan Yao, Lu Chen, Ziquan Fang, Yunjun Gao, Christian S. Jensen, Tianyi Li+.
(CORE A*, CCF A) The 2025 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD), 2025.
Efficient Cost Modeling of Space-filling Curves. PDF
Guanli Liu, Lars Kulik, Christian S. Jensen, Tianyi Li+, Renata Borovica-Gajic, Jianzhong Qi.
(CORE A*, CCF A) The 51st International Conference on Very Large Databases (PVLDB), 2025.
Joint V2V Group Association and Transmission Power Control in Federated Vehicular Networks. PDF
Su Liu, Peiyuan Guan, Yushuai Li, Tianyi Li+, Zolaikha Zolfagharian, Jiong Yu, Tingwen Huang.
(JCR Q1, CCF C) IEEE Internet of Things Journal (IoTJ), 2025.
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.
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training. PDF
Zhen Song, Yu Gu, Qing Sun, Tianyi Li+, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu.
(CORE A*, CCF A) The 50th International Conference on Very Large Databases (PVLDB), 2024.
A Demonstration of TENDS: Time Series Management System based on Model Selection. PDF
Yuanyuan Yao, Shenjia Dai, Yilin Li, Lu Chen, Dimeng Li, Yunjun Gao, Tianyi Li+.
(CORE A*, CCF A) The 50th International Conference on Very Large Databases (PVLDB), 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.
UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings. PDF
Yan Lin, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li+, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan.
(JCR Q1, CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
Digital Twin for Secure Peer-to-Peer Trading in Cyber-Physical Energy Systems. PDF
Yushuai Li, Peiyuan Guan, Tianyi Li+, Kim Guldstrand Larsen, Marco Aiello, Torben Bach Pedersen, Tingwen Huang, Yan Zhang."
(JCR Q1, CCF B)IEEE Transactions on Network Science and Engineering (TNSE), 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.
Networked Digital Twins for Autonomous Vehicles: A New Perspective. PDF
Tianyi Li+, Yushuai Li, Yumeng Song, Zhongming Yao, Wei Gao, David Wenzhong Gao.
(JCR Q1) IEEE Transactions on Intelligent Vehicles (TIV), 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 Autonomous Driving for E-mobility. PDF
Yushuai Li, Jiachen Xu, Tianyi Li+, Elena Mocanu, Christian S. Jensen, David Wenzhong Gao, Yan Zhang.
(JCR Q1) IEEE Electrification Magazine, 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 (MPCE), 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 Databases (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 Databases (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) ACM SIGKDD International 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 Databases (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 Databases (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 (first author), The 36th IEEE International Conference on Data Engineering (ICDE), 2022. (CORE A*, CCF A)
Outstanding Reviewer, 31st International Conference on Knowledge Discovery and Data Mining (KDD), 2025. (CORE A*, CCF A)
Best Theoretical Paper (corresponding author), The 8th IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2), 2024.
Best Paper (corresponding author), International Conference on Cyber-energy Systems and Intelligent Energies (ICCSIE), 2023.
Best Student Paper, The 39th National Database Conference (NDBC), 2022.
Students
Xiushang Wu
January 2024 to present PhD Student (Joint supervisors: Kristian Torp and Christian S. Jensen) Topic: Trajectory data cleaningDanlei Hu
March 2025 to March 2026 Ph.D. candidate from Zhejiang University Topic: Spatio-temporal Data AnalysisXiaowei Mao
September 2024 to Feburary 2025 Ph.D. candidate from Beijing Jiaotong University Topic: Spatio-temporal Data AnalysisZhongming Yao
December 2023 to November 2025 Ph.D. candidate from Northeastern Univeristy Topic: Trajectory Data Management with BlockchainYumeng 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 NetworksHaomin Yu
March 2024 to September 2024 Postdoc Researcher Topic: Maritime Data PredictionTiantian Liu
September 2023 to January 2024 Postdoc Researcher Topic: Optimized Maritime CommunicationProjects
Co-investigator, Horizon European Framework Program (HORIZON), MobiSpaces: New Data Spaces for Green Mobility.
Co-investigator, Digital Research Centre Denmark Project (DIREC), Multimodal Data Processing of Earth Observation Data.
Selected services
21st EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2024)
Workshop Co-chair
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
PVLDB 2026, ICDE 2025, 2023, AAAI 2024-2025, IJCAI 2024-2025, KDD 2023-2025, CIKM 2022-2025, ECAI 2025, SDM 2024, IEEE BigData 2024
PC Member
IEEE Transactions on Intelligent Vehicles
Associate Editor
IEEE Network
Associate Editor
Teaching
Lecturer, Algorithm and Data Structures, Fall 2022-2024
Access Records
Acknowledgement
This website uses the website design and template by Hengyu Liu, Martin Saveski, Zitao Liu and Tatsunori Hashimoto