Quanlong Guan

Professor, Jinan University
Vice DeanGuangdong Institute of Smart Education,
College of Information Science and Technology,
Jinan University, Tianhe District, Guangzhou, China
gql [at] jnu.edu.cn
Jnu | Google scholar | Github || Scholat (Chinese) | DBLP | Orcid || CV

Dr. Quanlong Guan is currently a Full Professor at Jinan University. He visited Sencun Zhu’s group at The Pennsylvania State University in 2012. His research interests include robust machine learning, Data Security, semi-supervised learning, recommendation systems, and multimodal learning. He has published over 50 papers at leading conferences and journals such as AAAI, ICCV, CIKM, RESS, PR, KBS, etc. He has 1 highly cited paper in Google Scholar metrics. He serves as PC members for top conferences like AAAI, NeurIPS, IJCAI, CVPR, KDD, ACL, ICCV, ACM MM, WSDM etc. He leads several high-value projects, such as multimodal learning, Knowledge Representation and Reasoning, recommendation systems, and Data security.

Research interest: Machine learning, multimodal learning, semi-supervised learning, recommendation systems, and related applications such as activity recognition, smart education, and computer vision. These days, I’m particularly interested in Multimodal representation Learning, [Large Language Models] (LLMs) for education (MultimodalrecommendationRAG, Q&A, etc
) and Excises recommendation. See this page for more details. Interested in internship or collaboration? Contact me.

Announcement: I am actively seeking Ph.D. students. If you are interested in collaborating with me, please don’t hesitate to reach out. However, please be aware that I receive a high volume of emails daily, which may lead to some delays in my response. Your patience in this regard is greatly appreciated. Thank you. You can click here gql@jnu.edu.cn if you are interested!

News

Sep 20, 2025 One paper of our team has been accepted for **"NeurIPS 2025"** Full Papers track (24.52% acceptance rate), a top-tier international Conference categorized as **CCF A-class** .
Apr 7, 2025 One paper of our team has been accepted for “SIGIR 2025” Full Papers track (21.5% acceptance rate), a top-tier international Conference categorized as CCF A-class .
Mar 7, 2025 One paper of our team has been accepted for **"IJCAI 2025"** Full Papers track (19.3% acceptance rate), a top-tier international Conference categorized as **CCF A-class** .
Feb 26, 2025 One paper of our team has been accepted for “CVPR”, a top-tier international Conference categorized as CCF A-class in Artificial Intelligence.
Feb 23, 2025 One paper of our team has been accepted for “Computers & Education”, a top-tier international Journal categorized as Chinese Academy of Sciences ranking SCI Q1-Top class.
Jan 10, 2025 Two paper of our team has been accepted for ** “Neural Networks” , a top-tier international Journal categorized as Chinese Academy of Sciences ranking **SCI Q1-Top class .

Highlights

  1. one of my papers is Top cited and downloaded article in Wiley Publisher. See here.
  2. In recognition of outstanding contributions to IJCAI 2023, I was awarded DISTINGUISHED PC MEMBER CERTIFICATE, The 32th International Joint Conference on Artificial Intelligence :
  3. I was as PC member list of AAAI 2021-,WSDM 2022-,IJCAI 2021-, CVPR 2023-, NeurIPS 2023-, KDD 2024-, ICML 2024-

Selected publications

  1. A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus
    Liangda Fang, Xiaoman Wang, Zhang Chen, Kailun Luo, Zhenhe Cui, and Quanlong Guan#
    Proceedings of the Association for the Advancement of Artificial Intelligence, AAAI-25 2025 | [ HTML ]
  2. KVFKT: A New Horizon in Knowledge Tracing with Attention-Based Embedding and Forgetting Curve Integration
    Quanlong Guan , Xiuliang Duan#, Kaiquan Bian, Guanliang Chen, Jianbo Huang, Zhiguo Gong, and Liangda Fang
    Proceedings of the 31st International Conference on Computational Linguistics, COLING-25 2025 | [ HTML ]
  3. An anti-parallelogram ring four-array rolling mechanism with multiple rolling gaits for mobile robots
    Zhiyuan Xun#, Guanglong Du, Wenbo Zhu, Wei Yu, Changjiang Liu, Jun Wang, and Quanlong Guan#
    Mechanical Sciences 2025 | [ HTML ]
  4. An Efficient and Multi-Dimensional Privacy-Preserving Platoon Communication Scheme in Vehicular Networks
    Nuo Xu, Zhiquan Liu#, Xuming Han, Quanlong Guan , Heng Sun, Xiujie Huang, and Jianfeng Ma
    IEEE Transactions on Intelligent Transportation Systems 2025 | [ HTML ]
  5. State of charge estimation of lithium-ion batteries using a fractional-order multi-dimensional Taylor network with adaptive Kalman filter
    Zhongbo Zhang, Wei Yu#, Zhiying Yan, Wenbo Zhu, Haibing Li, Qin Liu, Quanlong Guan , and Ning Tan
    Energy 2025 | [ HTML ]
  6. Phase combination for reliability analysis of dynamic k-out-of-n Phase-AND mission systems
    Chaonan Wang, Shenghui Luo, Guizhuang Chen, Zhitao Wu#, Quanlong Guan , and Wenjing Rong
    Reliability Engineering & System Safety 2025 | [ HTML ]
  7. Explainable exercise recommendation with knowledge graph
    Quanlong Guan , Xinghe Cheng#, Fang Xiao, Zhuzhou Li, Chaobo He, Liangda Fang, Guanliang Chen#, Zhiguo Gong, and Weiqi Luo
    Neural Networks 2025 | [ HTML ]
  8. Task Offloading Based on the Fusion of Model-and Data-Driven Intelligence for Vehicular Edge Computing Networks
    Xiujie Huang, Yuhao Chen, Zhiquan Liu, Shancheng Zhao, Zhetao Li, Renzhang Chen, and Quanlong Guan#
    IEEE Transactions on Intelligent Transportation Systems 2025 | [ HTML ]
  9. Can AI support human grading? Examining machine attention and confidence in short answer scoring
    Yuheng Li, Mladen Raković, Namrata Srivastava, Xinyu Li, Quanlong Guan# , Dragan Gaơević, and Guanliang# Chen
    Computers & Education 2025 | [ HTML ]
  10. Boost Social Recommendation via Adaptive Denoising Network
    Xinran Chen, Quanlong Guan , and Chaobo He#
    Companion Proceedings of the ACM on Web Conference 2024, WWW, Singapore 2024 | [ HTML ]
  11. An Efficient and Multi-Dimensional Privacy-Preserving Platoon Communication Scheme in Vehicular Networks
    Nuo Xu, Zhiquan Liu, Xuming Han, Quanlong Guan , Heng Sun, Xiujie Huang, and Jianfeng Ma
    IEEE Transactions on Intelligent Transportation Systems 2025 | [ ]
  12. Generating Privacy-preserving Educational Data Records with Diffusion Model
    Quanlong Guan , Yanchong Yu, Xiujie Huang#, Liangda Fang#, Chaobo He, Lusheng Wu#, Weiqi Luo, and Guanliang Chen
    Companion Proceedings of the ACM on Web Conference 2024, WWW, Singapore 2024 | [ HTML ]
  13. On the Logic of Theory Change Iteration of KM-Update, Revised
    Liangda Fang, Tong Zhu, Quanlong Guan# , Junming Qiu#, Zhao-Rong Lai, Weiqi Luo, and Hai Wan
    Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24 2024 | [ HTML ]
  14. A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs
    Mingwei Zhang, Liangda Fang#, Zhenhao Gu, Quanlong Guan# , and Yong Lai
    Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24 2024 | [ HTML ]
  15. Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
    Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan# , Dragan Gasevic, and Guanliang Chen#
    Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Vancouver, Canada 2024 | [ HTML ]
  16. Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
    Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan# , and Liang Lin
    Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Vancouver, Canada 2024 | [ HTML ]
  17. On the role of logical separability in knowledge compilation
    Junming Qiu, Wenqing Li, Liangda Fang#, Quanlong Guan# , Zhanhao Xiao, Zhao-Rong Lai, and Qian Dong
    Artif. Intell. 2024 | [ HTML ]
  18. A Retrospect to Multi-prompt Learning across Vision and Language
    Ziliang Chen, Xin Huang, Quanlong Guan# , Liang Lin, and Weiqi Luo
    International Conference on Computer Vision (ICCV) 2023 | [ HTML ]
  19. KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation
    Quanlong Guan , Fang Xiao, Xinghe Cheng, Liangda Fang#, Ziliang Chen, Guanliang Chen, and Weiqi Luo
    Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. 2023 | [ HTML ]
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