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 Knowledge Representation, Reasoning, and 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

Apr 3, 2026 One paper of our team has been accepted for “SIGIR 2026” Full Papers track (received 1271 valid submissions and accepted 234 of them, 18.4% acceptance rate), a top-tier international Conference categorized as CCF A-class.
Feb 21, 2026 One paper of our team “Vocabulary Scaling Law : Tuning Open-vocabulary Predictors for Their Openness” has been accepted for “CVPR 2026” Full Papers track (25.42% acceptance rate), a top-tier international Conference categorized as CCF A-class.
Dec 7, 2025 One paper of our team has been accepted for “AAAI 2026” Full Papers track (17.6% acceptance rate), a top-tier international Conference categorized as CCF A-class .
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 .
Apr 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.

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. 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 ]
  2. 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, Quanlong Guan#
    IEEE Transactions on Intelligent Transportation Systems 2025 | [ HTML ]
  3. 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 ]
  4. 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 ]
  5. 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 ]
  6. 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 ]
  7. 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 ]
  8. 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 ]
  9. 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 ]
  10. 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 ]
  11. 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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