Changsheng Lu

I am a PhD student with the College of Engineering and Computer Science at The Australian National University, and works with my supervisor Dr. Piotr Koniusz. Before that, I received the M.S. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, China, in 2020, and received the B.S. degree in Automation from Southeast University, Nanjing, China, in 2017.
Computer vision, image processing, transfer learning, pattern recognition, and robotics.
[1] Changsheng Lu, Piotr Koniusz. "Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species". In IEEE/CVF CVPR 2022.
[2] Changsheng Lu, Siyu Xia, Ming Shao, and Yun Fu. "Arc-Support Line Segments Revisited: An Efficient High-Quality Ellipse Detection", in IEEE Transactions on Image Processing, vol. 29, pp. 768-781, 2020, doi: 10.1109/TIP.2019.2934352. (Journal, Published)
[3] Changsheng Lu, Chaochen Gu, Kaijie Wu, Siyu Xia, Haotian Wang, Xinping Guan. Deep transfer neural network using hybrid representations of domain discrepancy. Neurocomputing, 2020. (Journal, Published)
[4] Changsheng Lu, Haotian Wang, Chaochen Gu, Kaijie Wu, and Xinping Guan. "Viewpoint Estimation for Workpieces with Deep Transfer Learning from Cold to Hot." In International Conference on Neural Information Processing, pp. 21-32. Springer, Cham, 2018. (oral presentation)
[5] Changsheng Lu, Siyu Xia, Wanming Huang, Ming Shao, and Yun Fu. "Circle Detection by Arc-support Line Segments." In 2017 IEEE International Conference on Image Processing (ICIP), pp. 76-80. IEEE, 2017. (oral presentation)
[6] Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, and Nikola Kasabov. "A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI." In International Conference on Neural Information Processing, pp. 358-368. Springer, Cham, 2018.
[7] Shuxin Zhao, Chaochen Gu, Changsheng Lu, Ye Huang, Kaijie Wu and Xinping Guan. “PointDoN: A Shape Pattern Aggregation Module for Deep Learning on Point Cloud.” In International Joint Conference on Neural Networks (IJCNN 2019). (oral presentation)
Please see my google scholar.
Awards
- Thesis award for master graduate student, awarded by Shanghai Association of Automation (CAA), 2021-01-18
- AGRTP scholarship for PhD student, 2020
- National scholarship for graduate student, 2019-9 and 2017-11
- First class award for excellent undergraduate thesis, 2017
Honors
- Outstanding graduate student in Shanghai, 2020-03
- Outstanding graduate student of SEU, 2017-06
Journal Services
Served to review the manuscripts including
- IEEE Computational Intelligence Magazine (IEEE CIM)
- Pattern Recognition (PR)
- Journal of Visual Communication and Image Representation (JVCIR)
- IET Image Processing (IET-IPR)
- Journal of Electronic Imaging (JEI)
- Neural Processing Letters (NPL)
- IEEE/CAA Journal of Automatica Sinica
Conference Services
Served to review the manuscripts of AAAI 2020, AAAI 2019, CVPR 2018 Workshop, ICMLA (2017, 2018), ICONIP 2018.