Hengyu Liu
Postdoctoral Researcher, Aalborg University
heli [AT] cs.aau.dk
Bio
I am currently a postdoctoral researcher at the computer science department in Aalborg university. My research interests include Energy Data Management, Spatial-temporal Data Management, Education Data Management, and Digital Twin Technology. I have published 15+ publications in prestigious journals and conferences and boasts an h-index of 5 and has accumulated more than 160 citations, as indexed by Google Scholar. I have served as a Program Committee Member for prestigious conferences such as AAAI 2024 and DASFAA 2024. Additionally, my expertise has been recognized through his roles as a reviewer for top-tier journals and conferences including TKDE, IJCAI, CIKM, and EMNLP.
Publications
Most recent publications on Google Scholar.
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
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations PDF
Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
arXiv preprint arXiv:2309.15499
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
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
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
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
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
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
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
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations PDF
Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
arXiv preprint arXiv:2309.15499
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations PDF
Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
arXiv preprint arXiv:2309.15499
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
Services
22nd IEEE International Conference on Industrial Informatics
Organizer
The 29th International Conference on Database System for Advanced Applications (DASFAA 2024)
PC Member
The 38th Annual AAAI Conference on Artifical Intelligence (AAAI 2024)
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
IEEE Transaction Knowledge and Data Engineering 2023
Reviewer
Vitæ
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Aalborg University Dec. 2023 - nowPostdoctoral Researcher
-
Macquarie University July. 2023 - Sept. 2023Visting Scholar
Advised by Prof. Longbing Cao -
University of Technology Sydney July. 2022 - June. 2023Visting Scholar
Advised by Prof. Longbing Cao -
Microsoft Research June. 2021 - June. 2022Research Intern
Data, Knowledge, and Intelligence Group -
Northeastern University Sept. 2017 - Dec. 2023Ph.D.
Advised by Prof. Ge Yu + Tiancheng Zhang -
Northeastern University Sept. 2013 - June. 2017Undergraduate
Computer Science and Technology.
Acknowledgement
This website uses the website design and template by Martin Saveski, Zitao Liu and Tatsunori Hashimoto