Hengyu Liu

Postdoctoral Researcher, Aalborg University

heli [AT] cs.aau.dk

Bio

I am currently a Postdoctoral Researcher at the Department of Computer Science, Aalborg University. My research interests span AI for Spatio-temporal Data Management, and AI for Education. I have authored and co-authored more than 20 publications in prestigious journals and conferences, including ICML, WWW, CIKM, and IEEE Transactions, achieving an h-index of 9 with over 520 citations according to Google Scholar.

I have actively contributed to the research community by serving as a Program Committee Member for leading conferences such as AAAI (2024–2026) and DASFAA (2024–2025), as well as IEEE EI2 2024 and BESC 2025. In addition, I have been invited to review for top-tier conferences and journals including TKDE, IJCAI, CIKM, EMNLP, and IEEE Transactions.

Publications

Most recent publications on Google Scholar.

RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations PDF

Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim 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 and 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, and Tiancheng Zhang

IEEE Transactions on Software Engineering and Methodology 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

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

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

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

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

RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations PDF

Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim 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 and 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, and Tiancheng Zhang

IEEE Transactions on Software Engineering and Methodology 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

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

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

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

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

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

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

ELM-based convolutional neural networks making move prediction in Go PDF

Xiangguo Zhao, Zhongyu Ma, Boyang Li, Zhen Zhang, Hengyu Liu

Soft Computing 22 (11), 3591-3601

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.

Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset PDF

Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang

arXiv preprint arXiv:2305.16344

Htgn-btw: Heterogeneous temporal graph network with bi-time-window training strategy for temporal link prediction PDF

Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao

arXiv preprint arXiv:2202.12713

Services

The 39th, 40th Annual AAAI Conference on Artifical Intelligence (AAAI 2025, 2026)

PC Member

The 38th, 39th, 40th Annual AAAI Conference on Artifical Intelligence for Social Impact (AISI 2024, 2025, 2026)

PC Member

The 29th, 30th International Conference on Database System for Advanced Applications (DASFAA 2024, 2025)

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)

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

2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023)

Reviewer

Sustainability: Special Issue "Renewable and Sustainable Energy Systems: Architecture, Methodology and Technology, 2nd Edition"

Leading Guest Editor

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 Transaction Knowledge and Data Engineering 2023

Reviewer

Vitæ

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Acknowledgement

This website uses the website design and template by Martin Saveski, Zitao Liu and Tatsunori Hashimoto