Ø 个人简介
范晨悠,华南师范大学人工智能学院“青年拔尖”副教授,硕士生导师。于2011年获得南京大学计算机学士学位;于2019年获得美国 Indiana University Bloomington (印第安纳大学布鲁明顿分校) 博士学位。于2018-2020年在美国硅谷的京东公司、谷歌公司工作。在TPAMI,CVPR, KDD, NeurIPS, AAAI, ACM MM, IJCAI 等顶级国际期刊和会议上发表10多篇学术工作,谷歌引用1000多次。现主持国自然青年基金一项,广东省面上项目一项。
Ø 研究领域
机器学习、计算机视觉、分布式机器学习、多智能体感知与决策、时序数据分析、金融量化机器学习
Ø 期刊论文
[1]Junjie Hu, Chenyou Fan, Ozay, Mete, Hualie Jiang, Lam, Tin Lun. Dense Depth Distillation with Out-of-Distribution Simulated Images. Knowledge-Based Systems
[2]Junjie Hu, Chenyou Fan,Liguang Zhou,Gao, Qing, Liu, Honghai, Lam, Tin Lun. Lifelong-MonoDepth: Lifelong Learning for Multidomain Monocular Metric Depth Estimation. IEEE Transactions on Neural Networks and Learning Systems
[3]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)
[4]Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam*. Deep Depth Completion from Extremely Sparse Data: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
[5]陆恒杨, 范晨悠, 吴小俊. 面向网络社交媒体的少样本新冠谣言检测. 中文信息学报
[6]Hengyang Lu, Chenyou Fan. Few-shot COVID-19 Rumor Detection for Online Social Media. PeerJ Computer Science
[7]Chenyou Fan, David Crandall*. DeepDiary: Lifelogging Image Captioning and Summarization. Journal of Visual Communication and Image Representation
Ø 会议论文
[1]Xiangyang Liu, Yi Zhu, Tianqi Pang, Kui Xue, Xiaofan Zhang, Chenyou Fan*. Medical Document Embedding Enhancement with Heterogeneous Mixture-of-Experts. International Conference on Bioinformatics and Biomedicine (BIBM)
[2]江金钢, 范晨悠*. Low-Parameter Federated Learning with Large Language Models. CCF中国信息系统及应用大会(WISA 2024), 大会口头汇报 (oral presentation)
[3]Chenyou Fan, Heng-yang Lu, Aimin Huang. A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting. European Conference on Artificial Intelligence (ECAI-2023)
[4]Tianqi Pang, Kehui Tan, Chenyou Fan*. Carbon Price Forecasting with Quantile Regression and Feature Selection. International Conference on Data Mining and Knowledge Discovery (DMKD 2023)
[5]Xiangyang Liu, Tianqi Pang, Chenyou Fan*. Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.International Conference on Knowledge Science, Engineering and Management (KSEM 2023)
[6]Heng-yang Lu, Chenyou Fan. Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications . International Conference on Computational Linguistics, COLING-22
[7]Chenyou Fan. Private Semi-Supervised Federated Learning. International Joint Conference on Artificial Intelligence, IJCAI-2022
[8]Chenyou Fan. Few-Shot Multi-Agent Perception. ACM Multimedia, MM-21
[9]Tianyi Lin, Chenyou Fan, Marco Cuturi, Michael I. Jordan. Projection Robust Wasserstein Distance and Riemannian Optimization. International Conference on Neural Information Processing, NeurIPS-20
[10]Chenyou Fan, Heng Huang. Multi-Horizon Time Series Forecasting with Temporal Attention Learning. Knowledge Discovery and Data Mining, KDD-19
[11]Chenyou Fan, Heng Huang. Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. Computer Vision and Pattern Recognition, CVPR-19
[12]Mingze Xu, Chenyou Fan, Michael S. Ryoo, David Crandall*. Joint Person Segmentation and Identification in Synchronized First-and Third-person Videos. European Conference on Computer Vision
[13]Chenyou Fan, David J. Crandall, Michael S. Ryoo*. Identifying first-person camera wearers in third-person videos. Computer Vision and Pattern Recognition, CVPR-17
[14]AJ Piergiovanni, Chenyou Fan, Michael S. Ryoo*. Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters. Conference on Artificial Intelligence , AAAI-17
Ø 专利
[1](已申请)(202411472658.2). 一种基于大语言模型的机器人路径规划感知方法和系统. 2024.10. 范晨悠, 凌绍彬
[2](已授权)(CN113377959 B). 基于元学习及深度学习的少样本社交媒体谣言检测方法. 2022.12. 陆恒杨, 范晨悠
Ø 联系方式
Email:fanchenyou@scnu.edu.cn
个人主页:www.scholat.com/fanchenyou
微信公众号:计算机视觉的小书童
欢迎有兴趣参与科研项目的同学与我联系。