目前主要关于计算机视觉的研究方向和应用，具体如下：

• 目标识别和图像分析

• 智能感知与信息处理

• 自监督学习和对抗学习

• 机器学习基础（研究生）

• 现代图像处理（研究生）

• 上海市科委浦江人才项目，基于高分辨率遥感卫星图像的土地利用监控技术，2019.10-2021.09

• 国家自然科学基金青年科学基金项目，无人机视角下的分层自监督地标识别方法研究，2022.01-2024.12

• M. Zhu, J. Fan, Q. Yang, T. Chen, SC-EADNet: A Self-supervised Contrastive Efficient Asymmetric Dilated Network for Hyperspectral Image Classification, IEEE Trans. on Geoscience and Remote Sensing (TGRS), 2021

• Y. Liao, H. Zhu, Y. Zhang, C. Ye, T. Chen, J. Fan, Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021

• B. Zhang, T. Chen, B. Wang, X. Wu, L. Zhang, J. Fan, Densely Semantic Enhancement for Domain Adaptive Region-free Detectors, IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2021

• Y. Wu, B. Zhang, G Yu, W. Zhang, B. Wang, T. Chen, J. Fan，Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification，Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021

• W. Li, J. Fan, and Y. Fu, Global-to-Local Dynamic Feature Aggregation for Unsupervised Person Re-Identification, IEEE International Conference on Multimedia and Expo (ICME), 2021

• W. Fan, J. Fan, G. Yu, B. Fu and T. Chen, HSEGAN: Hair Synthesis and Editing Using Structure-adaptive Normalization on Generative Adversarial Network, IEEE International Conference on Image Processing (ICIP), 2021

• Y. Liao, H. Zhu, T. Chen and J. Fan, SPCR: Semi-supervised Point Instance Segmentation with Perturbation Consistency Regularization, IEEE International Conference on Image Processing (ICIP), 2021

• Q. Yang, T. Chen, J. Fan, Y. Lu, C. Zuo and Q. Chi, EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021

• J. Chen, J. Zhang, E. Sangineto, T. Chen. J. Fan and N. Sebe, Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021

• J. Fan, T. Chen and F. Zhou, BURSTS: A Bottom-Up Approach for Robust Spotting of Texts in Scenes, Journal of Visual Communication and Image Representation, 2020

• J. Sun, J. Chen, T. Chen, J. Fan, S. He, PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection, Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2020

• T. Chen, S. Lu, J. Fan, SS-HCNN: Semi-Supervised Hierarchical Convolutional Neural Network for Image Classification, IEEE Trans. on Image Processing (TIP), 2019, 28(5): 2389-2398

• J. Fan, T. Chen, S. Lu, Superpixel Guided Deep-Sparse-Representation Learning for Hyperspectral Image Classification, IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2018, 28(11): 3163-3173

• T. Chen, S. Lu, J. Fan, S-CNN: Subcategory-Aware Convolutional Networks for Object Detection, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2018, 40(10): 2522-2528

• J. Fan, T. Chen, S. Lu, Unsupervised Feature Learning for Land-Use Scene Recognition, IEEE Trans. on Geoscience and Remote Sensing (TGRS), 2017, 55(4): 2250-2261

• J. Fan, T. Chen，Alex Kot, EXIF-white Balance Recognition for Image Forensic Analysis, Multidimensional Systems and Signal Processing, 2017, 28(3): 795-815

• 2008年8月-2013年12月，南洋理工大学，博士

• 2014年1月-2019年2月，新加坡资讯通信研究院，研究员

• IEEE TCSVT 审稿人

• IEEE TGRS 审稿人

• CVPR 审稿人

• 2019，上海市科委，浦江人才计划

• 2020，上海市特聘专家