Hengyu Liu
Assistant Professor, Aalborg University
heli [AT] cs.aau.dk
About Me
I am an Assistant Professor in the Data Engineering, Science and Systems (DESS) group at the Department of Computer Science, Aalborg University (AAU), where I joined as a Postdoctoral Researcher in November 2023. My research vision is to advance interpretable and trustworthy AI-driven data management and analysis, with a particular focus on spatio-temporal and mobility-related applications.
I have authored or co-authored over 25 peer-reviewed publications, including six first-author papers, spanning top-tier venues such as PVLDB, ICML, WWW, IEEE TNNLS, ACM TOSEM, Artificial Intelligence Journal, and Frontiers of Computer Science, achieving an h-index of 10 with over 700 citations on Google Scholar.
I actively contribute to the research community as Area Chair for NeurIPS 2026 (Position Track), Program Committee member for AAAI (2025–2026), IJCAI 2026, DASFAA (2024–2026), and BESC (2025–2026), and Guest Editor for special issues in Sustainability and Journal of Imaging. I regularly review for journals and conferences including TKDE, EAAI, EMNLP, CIKM, Information Fusion, and Machine Learning.
Research Interests
My current research interests include:
- Trustworthy AI for Spatio-temporal Data
- Agentic AI
Publications
Most recent publications on Google Scholar.
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data PDF
Hengyu Liu, Tianyi Li, Yuqiang He, Kristian Torp, Yushuai Li, Christian S. Jensen
PVLDB 2026
CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform
Hengyu Liu, Tianyi Li, Haoyu Wang, Kristian Torp, Tiancheng Zhang, Yushuai Li, Christian S. Jensen
SIGMOD Demo 2026
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations PDF
Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Jiachen Xu, Lu Chen, Christian S. Jensen, Tianyi Li
ICML 2025
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification PDF
Hui Chen, Hengyu Liu, Xuhui Fan, Zhangkai Wu, Longbing Cao
IEEE Transactions on Neural Networks and Learning Systems 2025
Federated Neural Nonparametric Point Processes
Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
Artificial Intelligence 2026
CoSrch: Syntactic and Semantic Structure-Aware Code Representation for Effective Code Search
Jia Xu, Yuqiang He, Hengyu Liu, Lv Pin, Tiancheng Zhang
ACM Transactions on Software Engineering and Methodology 2025
S²KT: Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions
Wenhui Wu, Tiancheng Zhang, Hengyu Liu, Lun Du, Zikai Li, Mingxing Shao, Minghe Yu, Yifang Yin, Ge Yu
WWW 2026
Automated Formalization via Conceptual Retrieval-Augmented LLMs
Wangyue Lu, Lun Du, Sirui Li, Ke Weng, Haozhe Sun, Hengyu Liu, Minghe Yu, Tiancheng Zhang, Ge Yu
ICLR 2026
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability PDF
Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu
Front. Comput. Sci., 2024, 18(3): 183602
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule Towards Flatter Local Minima PDF
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily PDF
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
Proceedings of the ACM Web Conference 2022
A Subspace Constraint-Based Approach for Fast Hierarchical Graph Embedding PDF
Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du
World Wide Web 26.5 (2023): 3691-3705
A Sampling Method Based on Forecasting and Combinatorial Optimization for High-Performance A/B Testing PDF
Fan Li, Tiancheng Zhang, Shengjia Cui, Hengyu Liu, Zhibin Ren, Donglin Di, Xiao Wang, Po Zhang, Ge Yu
Front. Comput. Sci., 2023, 17(6): 176616
GPT4Graph: Can Large Language Models Understand Graph-Structured Data? An Empirical Evaluation and Benchmarking PDF
Jiayan Guo, Lun Du, Hengyu Liu
arXiv preprint arXiv:2305.15066
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data PDF
Hengyu Liu, Tianyi Li, Yuqiang He, Kristian Torp, Yushuai Li, Christian S. Jensen
PVLDB 2026
CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform
Hengyu Liu, Tianyi Li, Haoyu Wang, Kristian Torp, Tiancheng Zhang, Yushuai Li, Christian S. Jensen
SIGMOD Demo 2026
Federated Neural Nonparametric Point Processes
Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
Artificial Intelligence 2026
S²KT: Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions
Wenhui Wu, Tiancheng Zhang, Hengyu Liu, Lun Du, Zikai Li, Mingxing Shao, Minghe Yu, Yifang Yin, Ge Yu
WWW 2026
Automated Formalization via Conceptual Retrieval-Augmented LLMs
Wangyue Lu, Lun Du, Sirui Li, Ke Weng, Haozhe Sun, Hengyu Liu, Minghe Yu, Tiancheng Zhang, Ge Yu
ICLR 2026
DPC-Net: A Decouple-Predict-Correct Framework for Long-Term Time Series Forecasting
Xiangyu Su, Zhihong Cui, Hengyu Liu, Tiancheng Zhang, Minghe Yu, Yubin Bao, Ge Yu
DASFAA 2026
LACERec: Controllable Sequential Recommendation with Weak-Signal Enhancement
Xin Zhang, Tiancheng Zhang, Zhihong Cui, Minghe Yu, Hengyu Liu, Yang Yu, Ge Yu
ICASSP 2026
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations PDF
Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Jiachen Xu, Lu Chen, Christian S. Jensen, Tianyi Li
ICML 2025
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification PDF
Hui Chen, Hengyu Liu, Xuhui Fan, Zhangkai Wu, Longbing Cao
IEEE Transactions on Neural Networks and Learning Systems 2025
CoSrch: Syntactic and Semantic Structure-Aware Code Representation for Effective Code Search
Jia Xu, Yuqiang He, Hengyu Liu, Lv Pin, Tiancheng Zhang
ACM Transactions on Software Engineering and Methodology 2025
Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing
Mingxing Shao, Tiancheng Zhang, Minghe Yu, Zhenghao Liu, Yifang Yin, Hengyu Liu, Ge Yu
ECML-PAKDD 2025
Density Harmonized Gradient Descent Online Active Learning for Imbalanced Data Streams
Jianhao Huang, Zhihong Zeng, Zhangkai Wu, Hengyu Liu, Yanfang Liu
BESC 2025
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability PDF
Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu
Front. Comput. Sci., 2024, 18(3): 183602
Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach
Tiancheng Zhang, Hengyu Liu, Jiale Tao, et al.
Mathematics 2023
Parallel Prediction Method of Knowledge Proficiency Based on Bloom's Cognitive Theory
Tiancheng Zhang, Hanyu Mao, Hengyu Liu, Yingjie Liu, Minghe Yu, Wenhui Wu, Ge Yu
Mathematics 2023
Event-Based Probabilistic Embedding for POI Recommendation
Tiancheng Zhang, Hengyu Liu, Xue Geng, Ge Yu
Applied Sciences 2023
A Subspace Constraint-Based Approach for Fast Hierarchical Graph Embedding PDF
Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du
World Wide Web 26.5 (2023): 3691-3705
A Sampling Method Based on Forecasting and Combinatorial Optimization for High-Performance A/B Testing PDF
Fan Li, Tiancheng Zhang, Shengjia Cui, Hengyu Liu, Zhibin Ren, Donglin Di, Xiao Wang, Po Zhang, Ge Yu
Front. Comput. Sci., 2023, 17(6): 176616
GPT4Graph: Can Large Language Models Understand Graph-Structured Data? An Empirical Evaluation and Benchmarking PDF
Jiayan Guo, Lun Du, Hengyu Liu
arXiv preprint arXiv:2305.15066
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations PDF
Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
arXiv preprint arXiv:2309.15499
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule Towards Flatter Local Minima PDF
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
Tracking Knowledge Structures and Proficiencies of Students with Learning Transfer PDF
Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu
IEEE Access 9, 55413-55421
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily PDF
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
Proceedings of the ACM Web Conference 2022
ELM-Based Convolutional Neural Networks for Move Prediction in Go PDF
Xiangguo Zhao, Zhongyu Ma, Boyang Li, Zhen Zhang, Hengyu Liu
Soft Computing 22 (11), 3591-3601
A Review of Knowledge Tracking PDF
Hengyu Liu, Tiancheng Zhang, Peiwen Wu, Ge Yu
Journal of East China Normal University (Natural Science Edition), 1-15
ContextKT: A Context-Based Method for Knowledge Tracing
Minghe Yu, Fan Li, Hengyu Liu, Tiancheng Zhang, Ge Yu
Applied Sciences 2022
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
WSDM Cup 2022
Real-Time Driver Fatigue Detection Based on ELM PDF
Hengyu Liu, Tiancheng Zhang, Haibin Xie, Hongbiao Chen, Fangfang Li
Proceedings of ELM-2015 Volume 2 (2016): 423
An ELM-Based Ensemble Strategy for POI Recommendation
Xue He, Tiancheng Zhang, Hengyu Liu, Ge Yu
Proceedings of ELM 2018
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data PDF
Hengyu Liu, Tianyi Li, Yuqiang He, Kristian Torp, Yushuai Li, Christian S. Jensen
PVLDB 2026
CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform
Hengyu Liu, Tianyi Li, Haoyu Wang, Kristian Torp, Tiancheng Zhang, Yushuai Li, Christian S. Jensen
SIGMOD Demo 2026
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations PDF
Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Jiachen Xu, Lu Chen, Christian S. Jensen, Tianyi Li
ICML 2025
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification PDF
Hui Chen, Hengyu Liu, Xuhui Fan, Zhangkai Wu, Longbing Cao
IEEE Transactions on Neural Networks and Learning Systems 2025
Federated Neural Nonparametric Point Processes
Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
Artificial Intelligence 2026
CoSrch: Syntactic and Semantic Structure-Aware Code Representation for Effective Code Search
Jia Xu, Yuqiang He, Hengyu Liu, Lv Pin, Tiancheng Zhang
ACM Transactions on Software Engineering and Methodology 2025
S²KT: Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions
Wenhui Wu, Tiancheng Zhang, Hengyu Liu, Lun Du, Zikai Li, Mingxing Shao, Minghe Yu, Yifang Yin, Ge Yu
WWW 2026
Automated Formalization via Conceptual Retrieval-Augmented LLMs
Wangyue Lu, Lun Du, Sirui Li, Ke Weng, Haozhe Sun, Hengyu Liu, Minghe Yu, Tiancheng Zhang, Ge Yu
ICLR 2026
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability PDF
Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu
Front. Comput. Sci., 2024, 18(3): 183602
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule Towards Flatter Local Minima PDF
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
Tracking Knowledge Structures and Proficiencies of Students with Learning Transfer PDF
Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu
IEEE Access 9, 55413-55421
Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach
Tiancheng Zhang, Hengyu Liu, Jiale Tao, et al.
Mathematics 2023
Parallel Prediction Method of Knowledge Proficiency Based on Bloom's Cognitive Theory
Tiancheng Zhang, Hanyu Mao, Hengyu Liu, Yingjie Liu, Minghe Yu, Wenhui Wu, Ge Yu
Mathematics 2023
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily PDF
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
Proceedings of the ACM Web Conference 2022
Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing
Mingxing Shao, Tiancheng Zhang, Minghe Yu, Zhenghao Liu, Yifang Yin, Hengyu Liu, Ge Yu
ECML-PAKDD 2025
DPC-Net: A Decouple-Predict-Correct Framework for Long-Term Time Series Forecasting
Xiangyu Su, Zhihong Cui, Hengyu Liu, Tiancheng Zhang, Minghe Yu, Yubin Bao, Ge Yu
DASFAA 2026
LACERec: Controllable Sequential Recommendation with Weak-Signal Enhancement
Xin Zhang, Tiancheng Zhang, Zhihong Cui, Minghe Yu, Hengyu Liu, Yang Yu, Ge Yu
ICASSP 2026
Density Harmonized Gradient Descent Online Active Learning for Imbalanced Data Streams
Jianhao Huang, Zhihong Zeng, Zhangkai Wu, Hengyu Liu, Yanfang Liu
BESC 2025
ELM-Based Convolutional Neural Networks for Move Prediction in Go PDF
Xiangguo Zhao, Zhongyu Ma, Boyang Li, Zhen Zhang, Hengyu Liu
Soft Computing 22 (11), 3591-3601
A Review of Knowledge Tracking PDF
Hengyu Liu, Tiancheng Zhang, Peiwen Wu, Ge Yu
Journal of East China Normal University (Natural Science Edition), 1-15
ContextKT: A Context-Based Method for Knowledge Tracing
Minghe Yu, Fan Li, Hengyu Liu, Tiancheng Zhang, Ge Yu
Applied Sciences 2022
Event-Based Probabilistic Embedding for POI Recommendation
Tiancheng Zhang, Hengyu Liu, Xue Geng, Ge Yu
Applied Sciences 2023
A Subspace Constraint-Based Approach for Fast Hierarchical Graph Embedding PDF
Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du
World Wide Web 26.5 (2023): 3691-3705
A Sampling Method Based on Forecasting and Combinatorial Optimization for High-Performance A/B Testing PDF
Fan Li, Tiancheng Zhang, Shengjia Cui, Hengyu Liu, Zhibin Ren, Donglin Di, Xiao Wang, Po Zhang, Ge Yu
Front. Comput. Sci., 2023, 17(6): 176616
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
WSDM Cup 2022
Real-Time Driver Fatigue Detection Based on ELM PDF
Hengyu Liu, Tiancheng Zhang, Haibin Xie, Hongbiao Chen, Fangfang Li
Proceedings of ELM-2015 Volume 2 (2016): 423
An ELM-Based Ensemble Strategy for POI Recommendation
Xue He, Tiancheng Zhang, Hengyu Liu, Ge Yu
Proceedings of ELM 2018
GPT4Graph: Can Large Language Models Understand Graph-Structured Data? An Empirical Evaluation and Benchmarking PDF
Jiayan Guo, Lun Du, Hengyu Liu
arXiv preprint arXiv:2305.15066
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations PDF
Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
arXiv preprint arXiv:2309.15499
Services
The 40th Annual Conference on Neural Information Processing Systems (NeurIPS 2026), Position Track
Area Chair
The 39th, 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2025, 2026)
PC Member
The 38th, 39th, 40th Annual AAAI Conference on Artificial Intelligence for Social Impact (AISI 2024, 2025, 2026)
PC Member
The 35th International Joint Conference on Artificial Intelligence (IJCAI 2026)
PC Member
The 29th, 30th, 31st International Conference on Database Systems for Advanced Applications (DASFAA 2024, 2025, 2026)
PC Member
The 8th IEEE Conference on Energy Internet and Energy System Integration (EI2 2024)
PC Member
The 12th International Conference on Behavioural and Social Computing (BESC 2025, 2026)
PC Member
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
Reviewer
The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)
Reviewer
The 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023)
Reviewer
The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)
Reviewer
Sustainability: Special Issue "Renewable and Sustainable Energy Systems: Architecture, Methodology and Technology, 2nd Edition"
Leading Guest Editor
Journal of Imaging: Special Issue "XTM-Imaging: Explainable and Trustworthy Multimodal Imaging for Real-World Applications"
Guest Editor
Scientific Reports 2026
Reviewer
Machine Learning 2026
Reviewer
Engineering Applications of Artificial Intelligence 2025
Reviewer
Information Fusion 2025
Reviewer
Transactions on Consumer Electronics 2025
Reviewer
Journal of Advances in Information Technology 2025
Reviewer
Transactions on Knowledge Discovery from Data 2024
Reviewer
IEEE Transactions on Knowledge and Data Engineering 2023
Reviewer
Vitæ
-
Aalborg University Apr. 2026 - nowAssistant Professor
Trustworthy AI for Spatio-temporal Data -
Aalborg University Nov. 2023 - Mar. 2026Postdoctoral Researcher
AI for Spatio-temporal Data Management and Analysis -
Macquarie University July. 2023 - Oct. 2023Visiting Scholar
Advised by Prof. Longbing Cao -
University of Technology Sydney July. 2022 - June. 2023Visiting Scholar
Advised by Prof. Longbing Cao -
Microsoft Research July. 2021 - June. 2022Research Intern
Data, Knowledge, and Intelligence Group -
Northeastern University Sept. 2017 - Nov. 2023Ph.D.
Advised by Prof. Ge Yu + Tiancheng Zhang -
Northeastern University Sept. 2013 - June. 2017Undergraduate
Computer Science and Technology
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Acknowledgement
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