Publications

Multi-Agent Learning

• 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]

• Chenyou Fan, Junjie Hu, Jianwei Huang. “Few-Shot Multi-Agent Perception.” 29th ACM International Conference on Multimedia (MM), 2021. [pdf] [poster] [code]

• Chenyou Fan, Jangwon Lee, Mingze Xu, K.K. Singh, Y.J. Lee, David J. Crandall, Michael S. Ryoo. “Identifying first-person camera wearers in third-person videos.” IEEE Conference on Computer Vision and Pattern Recognition 2017 (CVPR’17, 29.0% acceptance rate). [pdf] [data & project page]

Large Vision and Language Models

• 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]

• Yi Zhu, Xiangyang Liu, Tianqi Pang, Xuncan Xiao, Xiaofan Zhang, Chenyou Fan. “Hybrid Feature Fusion for Enhancing Medical Document Embedding.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025. [pdf]

• Xiangyang Liu, Yi Zhu, Tianqi Pang, Kui Xue, Xiaofan Zhang, Chenyou Fan. “Medical Document Embedding Enhancement with Heterogeneous Mixture-of-Experts.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. [pdf]

• 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]

Time Series Forecasting

• 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 International Conference on Knowledge Discovery and Data Mining (KDD), 2025. [paper] [poster] [code]

• Chenyou Fan, Heng Huang. “Multi-Horizon Time Series Forecasting with Temporal Attention Learning.” SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019. [paper]

• Rui Chen, Haiqi Jiang, Tingyu Guo, Chenyou Fan. “Can Large Language Models forecast carbon price movements? Evidence from Chinese carbon markets.” Research in International Business and Finance, Volume 77, Part B, 2025. (RIBAF, JCR-Q1) [paper]

• Chenyou Fan, Hengyang Lu, Aimin Huang. “A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting.” European Conference on Artificial Intelligence (ECAI), 2023. [pdf] [ppt]

• Haiqi Jiang, Ying Ding, Rui Chen, Chenyou Fan. “Carbon Price Forecasting with LLM-based Refinement and Transfer-Learning.” International Conference on Artificial Neural Networks, 2024. (ICANN 2024) [pdf] [code] [video]

Federated Learning

• 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] [poster] [code]

• Chenyou Fan, Junjie Hu, Jianwei Huang. “Private Semi-Supervised Federated Learning.” International Joint Conference on Artificial Intelligence (IJCAI’22, 15% acceptance rate). [pdf]

• Chenyou Fan, Ping Liu. “Federated Generative Adversarial Learning.” Chinese Conference on Pattern Recognition and Computer Vision (PRCV’20). [paper]

Miscellaneous

• Tianyi Lin, Chenyou Fan (co-first), Nhat Ho, Marco Cuturi, Michael I. Jordan. “Projection Robust Wasserstein Distance and Riemannian Optimization.” Conference on Neural Information Processing Systems (NeurIPS’20, spotlight, 20% acceptance rate, 3% spotlight rate). [pdf] [code]

• Chenyou Fan, Zehua Zhang, David J. Crandall. “DeepDiary: Lifelogging Image Captioning and Summarization.” Journal of Visual Communication and Image Representation, 2018. [paper]