领域：新一代信息技术产业 学校：复旦大学职称：青年研究员
1） 机器学习，深度学习，模式识别
深度学习：主要研究深度卷积神经网络模型在海量大规模图像、视频内容分析中的设计与改进；
传统机器学习算法与模式识别：主要研究在小规模尺度的图像和其它来源的数据集下设计高效率、高精度的机器学习算法；
嵌入式深度学习：主要研究针对移动端、边缘端或者ASIC定制芯片等有限计算量和内存条件下设计轻量级、低复杂度、低内存占用的小规模深度学习网络；
2） 图像、视频等视觉信息处理和内容分析
利用深度学习算法对图像、视频进行语义分类、目标内容检测和分割；对视频场景进行解析或者重构；对关键目标进行跟踪等常用视觉应用；常见应用场景包括：基于行人或者人脸的目标监控，基于车辆检测和属性分析的交通管理和规划等；
现正招聘博士后和科研助理若干名，详情请见：http://homepage.fudan.edu.cn/eetchen/
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具体了解该专家信息，请致电：027-87555799 邮箱 haizhi@uipplus.com
2019.03-至今: 复旦大学信息学院， 青年研究员
2017.08-2019.02: 华为新加坡中央研究院, 高级机器学习研究员
2017.04-2017.07: 新加坡资讯通信研究院， 研究员II级
2013.05-2017.03：新加坡资讯通信研究院， 研究员I级
2013.01-2013.04: NTU智能机器人实验室， 副研究员
2008.08-2013.09: 新加坡南洋理工大学， 博士
2006.09-2008.07: 浙江大学， 硕士
2002.09-2006.07: 山东大学， 本科
[J20] T. Chen, S. Lu, J.Fan*, "SS-HCNN: Semi-Supervised Hierarchical Convolutional Neural Network for Image Classification," IEEE Transactions on Image Processing (T-IP), 28(5):2389-2398, 2019.
[J19] T. Chen, S. Lu, J. Fan, " S-CNN: Subcategory-aware convolutional networks for object detection ," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 40(10):2522-2528, 2018.
[J18] J. Fan, T. Chen* (Corresponding Author), S. Lu, " Superpixel Guided Deep-Sparse-Representation Learning For Hyperspectral Image Classification, " IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 28(11):3163-3173, 2017.
[J17] T. Chen, S. Lu, “Subcategory-aware feature selection and SVM optimization for automatic aerial image based oil spill inspection," IEEE Transactions on GeoScience and Remote Sensing (T -GRS ), 55(9): 5264-5273, 2017.
[J16] Fan J. Y. , T. Chen, S. Lu, “ Unsupervised Feature Learning For Land -Use Scene Recognition," IEEE Transactions on GeoScience and Remote Sensing (T -GRS ), 55(4):2250-2261, 2017.
[J15] T. Chen, S. Lu, “Object-level motion detection from moving optic cameras,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 27(11):2333-2343, 2017.
[J14] T. Chen, S. Lu, “Accurate and Efficient Traffic Sign Detection Using Discriminative Adaboost and Support Vector Regression,” IEEE Transactions on Vehicular Technology (T-VT), vol. 65, pp.4006-4015, 2016.
[J13] T. Chen, S. Lu, “Robust vehicle detection and viewpoint estimation with soft discriminative mixture mode ,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol.27, no. 2, pp. 394-403, Feb 2017.
[J12] J. W. Cao, T. Chen, J. Y. Fan, "Landmark Recognition with Compact BoW Histogram and Ensemble ELM," Multimedia Tools and Applications (MTAP), pp. 1-19, 2015.
[J11] J. Y. Fan, T. Chen, C.C. Kot, “EXIF-white balance recognition for image forensic analysis,” Multidimensional Systems and Signal Processing (MSSP), pp. 1-21, 2016.[J10] T. Chen, S. Lu, J. Y. Fan, “Context-Aware Vocabulary Tree for Mobile Landmark Recognition,” Journal of Visual Communication and Image Representation (JVCIR), vol. 30, pp. 289-298, 2015.
[J9]T. Chen, K.-H. Yap, “Discriminative Soft Bag-of-Visual Phrase for Mobile Landmark Recognition,” IEEE Transactions on Multimedia (T-MM), vol. 16, pp.612-622, Apr 2014.
[J8] T. Chen, K.-H. Yap, “Context-Aware Discriminative Vocabulary Learning for Mobile Landmark Recognition,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol.23, pp. 1611 - 1621, 2013.
[J7] T. Chen, K.-H. Yap, “Discriminative BoW Framework for Mobile Landmark Recognition,” IEEE Transactions on Systems, Man and Cybernetics (T-SMC), Part B, vol. 44, pp. 695-706, 2013.
[J6] S. Lu, T. Chen, S. Tian, J.-H. Lim, T.- C. Lim, "Scene Text Extraction based on Edges and Support Vector Regression," International Journal on Document Analysis and Recognition (IJDAR), vol. 18, pp. 125-135, 2015.
[J5] T. Chen, K.-H. Yap, and L.-P. Chau, "Integrated Content and Context Analysis for Mobile Landmark Recognition," IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 21, pp. 1476 - 1486, 2011.
[J4] K.-H. Yap, T. Chen, Z. Li, and K. Wu, “A Comparative Study of Mobile-based Landmark Recognition,” IEEE Intelligent Systems (IS), vol. 25, no.1, pp. 48-57, 2010. （First Author is PhD supervisor）
[J3] T. Chen, Z. G. Fang, J. Xu, “A Multi-Channel Identity Verification System based on Face and Voice,” Journal of Shandong University (Engineering Science), vol. 38, no. 2, pp. 56-60, 2008.
[J2] T. Chen, Z. G. Fang, J. Xu, “A Speaker Identity System based on Verification Mode," Journal of Ergonomics, vol. 14, no. 1, pp. 42-44, 2008.
[J1] Z. P. Lin, J. W. Cao, T. Chen, “Extreme Learning Machine on High Dimensional and Large Data Applications,” Mathematical Problems in Engineering, pp. 1-2, 2015.
