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

Sep 27, 2026 Our paper “Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO” has been accepted for “NeurIPS 2026” Full Papers track (25.7% acceptance rate), a top-tier international Conference categorized as CCF A-class in Artificial Intelligence.
Jul 11, 2026 One paper of our team “Unlocking Binarized Underwater Image Enhancement with Calibration and Compensation” has been accepted for “ACM MM 2026” Full Papers track , a top-tier international Conference categorized as CCF A-class.
May 2, 2026 One paper of our team “Multi-Domain Decoupling for Robust Dynamic Graph Neural Networks” has been accepted for “ICML 2026” Full Papers track (26.6% acceptance rate), a top-tier international Conference categorized as CCF A-class.
May 1, 2026 One paper of our team “SRJudge: Empowering Large Language Models with Selective Reasoning for Fine-Grained Knowledge Concept Tagging” has been accepted for “IJCAI 2026” Full Papers track , a top-tier international Conference.
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.

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-
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