Quanlong Guan
Professor, Jinan University
Vice DeanïŒGuangdong 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 Zhuâs 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, Iâm particularly interested in Multimodal representation Learning, [Large Language Models] (LLMs) for education (MultimodalïŒrecommendationïŒRAG, Q&A, etcâŠ) 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 donât 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 âLearn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPOâ has been accepted for âNeurIPS 2026â Full Papers track (25.7% acceptance rate), a top-tier international Conference categorized as CCF A-class in Artificial Intelligence. |
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| Jul 11, 2026 | One paper of our team âUnlocking Binarized Underwater Image Enhancement with Calibration and Compensationâ has been accepted for âACM MM 2026â Full Papers track , a top-tier international Conference categorized as CCF A-class. |
| May 2, 2026 | One paper of our team âMulti-Domain Decoupling for Robust Dynamic Graph Neural Networksâ has been accepted for âICML 2026â 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 âSRJudge: Empowering Large Language Models with Selective Reasoning for Fine-Grained Knowledge Concept Taggingâ has been accepted for âIJCAI 2026â Full Papers track , a top-tier international Conference. |
| Apr 3, 2026 | One paper of our team has been accepted for âSIGIR 2026â 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 âVocabulary Scaling Law : Tuning Open-vocabulary Predictors for Their Opennessâ has been accepted for âCVPR 2026â Full Papers track (25.42% acceptance rate), a top-tier international Conference categorized as CCF A-class. |
Highlights
- one of my papers is Top cited and downloaded article in Wiley Publisher. See here.
- In recognition of outstanding contributions to IJCAI 2023, I was awarded DISTINGUISHED PC MEMBER CERTIFICATE, The 32th International Joint Conference on Artificial Intelligence :
- I was as PC member list of AAAI 2021-,WSDM 2022-,IJCAI 2021-, CVPR 2023-, NeurIPS 2023-, KDD 2024-, ICML 2024-