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

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/

(1) Jounal of Aritificial Intelligence and Systems , Editorial Board Member, 2019-2021

(2）Mathematical Problems in Engineering SCI期刊特刊的Guest Editor,2015

(3)  ICSP 2016 Session Chair

(4)  Member, IEEE

 [J21] W. Wang, Q. Sun, Y.Fu, T. Chen, C. Cao, Z. Zheng, G. Xu, H. Qiu, Y. Jiang and X. Xue, "Comp-GAN: Compositional Generative Adversarial Network in Synthesizing and Recognizing Facial Expression," ACM International Conference on Multimedia (ACM'MM, Full Paper), Nice, France, 2019.

[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.

以第一发明人身份持有新加坡专利2项：

[P1] T. Chen, S. Lu, “Accurate and Efficient Traffic Sign Detection （快速准确的交通标志检测）,”  P2014003/SG,  Singapore, Dec 2014.

[P2]  T. Chen, S. Lu, “Object-Level Motion Detection from Moving Cameras （基于移动相机的对象级物体运动检测）,” TD2015034, filed, Singapore, Mar 2016.

以第一发明人身份持有美国专利1项：

[P1] T. Chen, S. Lu, “Methods and Devices for Traffic Sign Recognition,”  15/527,833, US, May 2019.

长期从事机器视觉、图像与视频分析、深度学习、数据挖掘方向的科研工作，参与及主持的项目包括：新加坡科技局纵向项目“无人自动驾驶汽车”、新加坡国家计算系统与新加坡城市建设局横向项目“道路违章停车自动检测”、劳斯莱斯横向课题“飞机引擎部件的智能机器人加工系统”、新加坡科技局纵向项目“基于移动手机的地标识别系统”、华为海思视频团队“基于ASIC和ARM架构的深度学习神经网络引擎开发”等。目前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。

(3）新加坡科技局颁发无人驾驶特别杰出贡献奖（Special Outstanding Contribution） 2016

(2）新加坡科技局颁发RIE2020科研创新贡献奖， 2014

(1）IEEE 图像处理国际大会会议资助基金奖励 ，2011