Chenyou Fan 范晨悠
Associate Professor, School of Artificial Intelligence, South China Normal University
Welcome to my homepage!
I am an associate professor in the School of Artificial Intelligence at South China Normal University, where I lead FancyAI Lab. My research interests lie in computer vision, multimodal learning, multi-agent systems, and large language models, with a recent focus on trustworthy AI companions and educational large models for K12 scenarios.
I obtained my Ph.D. in Computer Science from Indiana University Bloomington in 2019, and received my B.S. from Nanjing University. I am also a doctoral supervisor in Computer Science and Technology.
Email: fanchenyou [at] scnu [dot] edu [dot] cn
News
- Oct 2026 One paper on LLM uncertainty quantification (CASE) accepted to EMNLP 2026.
- Oct 2026 Selected into the World's Top 2% Scientists 2026 list (Stanford University & Elsevier).
- Aug 2026 Approved as a doctoral supervisor in Computer Science and Technology by the SCNU Academic Degree Committee.
- Apr 2026 Delivered a public lecture on AI frontiers at the Guangdong Zhongshan Library Science Forum.
- Mar 2026 Our undergraduate team won the Second Prize at the ASC 2026 Student Supercomputing Challenge.
- 2026 One paper accepted to ACM MM 2025 (StoryCrafter), one to KDD 2025 (CMA), one to IJCAI 2025 (FedMoE), and one to ICASSP 2025.
- 2025 Named to the Guangdong Special Support Program for Young Top-Notch Talents.
- 2024 Received the Guangdong Computer Federation Young Scientist Award.
Selected Publications
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Jiaming Zhang, Heng-yang Lu, Xinan Chen, Junyuan Zheng, Yuncheng Jiang, Ying Zhu, Chenyou Fan. “Sampling Less, Knowing More: Contradiction-aware Adaptive Spectral and Entropic Uncertainty Quantification for LLMs.” Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026 (accepted). [paper] [poster]
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Ruiqi Dong, Wenjing Pang, Chenjie Pan, Heng-yang Lu, Chenyou Fan. “StoryCrafter: Instance-Aligned Multi-Character Storytelling with Diffusion Policy Learning.” ACM International Conference on Multimedia (MM), 2025. [paper] [code]
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Haiqi Jiang, Ying Ding, Chenjie Pan, Aimin Huang, Rui Chen, Chenyou Fan. “CMA: A Unified Contextual Meta-Adaptation Methodology for Time-Series Denoising and Prediction.” ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. [paper] [code]
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Jingang Jiang, Yanzhao Chen, Xiangyang Liu, Haiqi Jiang, Chenyou Fan. “Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts.” International Joint Conference on Artificial Intelligence (IJCAI), 2025. [pdf] [code]
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Chenyou Fan, Junjie Hu, Jianwei Huang. “Few-Shot Multi-Agent Perception with Ranking-Based Feature Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [paper]
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Chenyou Fan, Heng Huang. “Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [paper] [code]
