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.
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
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
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