Journals：

29.  B. Zhang, C. Ye, G. Yu, B. Wang, Y. Wu, J. Fan, and T. Chen, "Sample-centric Feature Generation for Semi-supervised Few-shot Learning", IEEE Transactions on Image Processing, 2022, Accepted.

28. Y. Liao, H. zhu, Y. Zhang, C. Ye, T. Chen, J. Fan, "Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining", in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

27. M. Zhu, J. Fan, Q. Yang, T. Chen, "SC-EADNet: A Self-supervised Contrastive Efficient Asymmetric Dilated Network for Hyperspectral Image Classification," in  IEEE Transactions on Geoscience and Remote Sensing, 2021.

26. B. Zhang, T. Chen, B. Wang, "Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation," in  IEEE Transactions on Geoscience and Remote Sensing, 2021.

25. B. Zhang, T. Chen, B. Wang, R. Li, "Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2021.3114550.

24. B. Zhang, T. Chen, X. F. Wu, L. M. Zhang, J. Fan, “Densely Semantic Enhancement for Domain Adaptive Region-free Detectors,” in press, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021.

23. X. Qian, H. Fu, W. Shi, T. Chen, Y. Fu, F. Shan, X. Xue, “M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging,” in press, IEEE Journal of Biomedical and Health Informatics (JBHI), 2020.

22. J. Fan, T. Chen, F. Zhou, “A Bottom-Up Approach for Robust Spotting of Texts in Scenes,” in press, Journal of Visual Communication and Image Representation (JVCIR), 2020.

21. F. Zhou, S. Kong, C. C. Fowlkes, T. Chen, B. Lei, “Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model,” Neurocomputing, vol. 392, pp. 38-49, 2020.

20. 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.

19. 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.

18. 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.

17. 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.

16. 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.

15. 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.

14. 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.

13. 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.

12. 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.

11. 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.

10. 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.

9. 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.

8. 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.

7. 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.

6. 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.

5. 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.

4. 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）

3. 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.

2. 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.

1. 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.

 

Conferences：

26. Bicheng Guo, Tao Chen, Shibo He, Haoyu Liu, Lilin Xu, Peng Ye, Jiming Chen."Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search", in press, ACM MM, 2022.

25. B. Zhang, J. Yuan, B. Li, T. Chen, J. Fan, B. Shi. "Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification", in press, ACM MM, 2022.

24. P. Ye, B. Li, Y. Li, T. Chen, J. Fan, W. Ouyang, “Beta-decay regularization for differentiable architecture search,” Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR oral), in press, 2022.

23. C. Ye, H. Zhu, Y. Liao, Y. Zhang, T. Chen, J. Fan.  "What Makes for Effective Few-shot Point Cloud Classification",in press, IEEE Winter Conference on Applications of Computer Vision (WACV), 2022.

22. 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", in press, ACM MM, 2021.

21.W. Fan, J. Fan, G. Yu, B. Fu, T. Chen, “HSEGAN: Hair Synthesis and Editing using Structure-Adaptive Normalization on Generative Adversarial Network,” in press, IEEE International Conference on Image Processing (ICIP), 2021.

20.Y. Liao, H. Zhu, T. Chen, J. Fan, "SPCR: Semi-supervised point cloud instance segmentation with perturbation consistency regularization," in press, IEEE International Conference on Image Processing (ICIP), 2021.

19.Q. Yang, T. Chen, J. Fan, Y. Lu, C. Zuo, Q. Chi, “EADNET: Efficient Asymmetric Dilated Network For Semantic Segmentation,” in press, IEEE ICASSP, 2021.

18. J. Chen, J. Zhang, E. Sangineto, T. Chen, F. Jia, N. Cebe, “Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance,” in press, IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.

17. J. Sun, J. Chen, T. Chen, J. Fan, S. He, “PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection,” in press, ACM Conference on Multimedia (ACM MM), Seattle, Washington, USA, 2020.

16. R. Wu,  G. Zhang, S. Lu, T. Chen, ”Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses,” IEEE Internatonal Conference on Computer Vision and Pattern Recognition (CVPR, Oral), Seattle, Washington, 2020.

15. 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), Nice, France, 2019.

14. J.Fan, T. Chen, S. Lu,  “Vegetation Coverage Detection from Very High Resolution Satellite Imagery,” IEEE International Conference on Visual Communications and Image Processing (VCIP), Accpeted, Singapore, Sep. 2015.

13. J.Fan, T. Chen, ”Reversible Watermarking Using Enhanced Local Prediction,” IEEE International Conference on Image Processing (ICIP), In press, Sep. 2015.

12. J.W. CAO, Y.F.ZHAO, X.P. LAI, T.Chen, ‘Landmark Recognition via Sparse Representation,” IEEE International Conference on Digital Signal Processing (DSP), In press, 2015.

11. J.FAN, T.CHEN and J.W.Cao, ”Image Tampering Detection Using Noise Histogram Features,“ IEEE International Conference on Digital Signal Processing (DSP), In press, 2015.

10. T. Chen, S. Lu, “DPM REVISITED: Utilizing Root-Part Spatial Distribution For Vehicle Viewpoint Estimation,” IEEE International Conference on Image Processing (ICIP), In press, Sep. 2015.

9. T. Chen, S. Lu, “Context-Aware Lane Marking Detection On Urban Roads,” IEEE International Conference on Image Processing (ICIP), In press, Sep. 2015.

8. T. Chen, J. Y. Fan, S. Lu, “Context-aware codebook learning for landmark recognition,” IEEE International Conference on Image Processing (ICIP), In press, Oct. 2014.

7. J.W. Cao, T. Chen, J. Y. Fan, ”Fast Online Learning Algorithm for Landmark Recognition based on BoW Framework,” IEEE Conference on Industrial and Electronics Applications (ICIEA), 2014.

6. T. Chen, K.- H. Yap,  ”‘Discriminative Bag-of-Visual Phrase Learning for Landmark Recognition”,  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, Oral Presentation), In Press,Kyoto, Japan, Mar. 2012.

5. T. Chen, K.-H. Yap, and L.-P. Chau, “Content and Context Information Fusion for Mobile Landmark Recognition”,  accepted for publication in 2011 International Conference on Information, Communications and Signal Processing (ICICS), Singapore.

4. T. Chen, K.- H. Yap, L.-P. Chau, “From Universal Bag-of-Words to Adaptive Bag-of-Phrase for Scene Recognition”,  IEEE International Conference on Image Processing (ICIP), pp.841-884,, Russell, Belgium, Sep. 2011.

3. T. Chen, K.- H. Yap, L.-P. Chau, “A Discriminative Learning Approach for Mobile Landmark Recognition”,  IEEE International Conference on Image Processing (ICIP), pp. 217-220, Russell, Belgium, Sep. 2011.

2. T. Chen, Z. Li, K.-H. Yap, K. Wu, and L.-P. Chau, “A Multi-scale Learning Approach for Landmark Recognition Using Mobile Devices,” accepted for publication in 2009 International Conference on Information,   Communications and Signal Processing (ICICS), Macau.

1. T. Chen, K. Wu, K.-H. Yap, Z. Li, and F. S. Tsai, “A Survey on Mobile Landmark Recognition for Information Retrieval Systems,” 2009 MDM International Workshop on Mobile Media Retrieval, Taipei, Taiwan, May 2009.