Liming Zhao (赵黎明-中文首页)

PhD student
Zhejiang University

Google Scholar

GitHub, LinkedIn, CV


Liming Zhao is currently a fifth year PhD student (2017-2018) in College of Computer Science at Zhejiang University.
His advisors are Prof. Xi Li and Prof. Yueting Zhuang. Earlier, he received his bachelor's degree from Shandong University in 2013.

His current research interests are primarily in computer vision and machine learning, especially visual perception and deep learning.
His research works have been published in journals/conferences such as TPAMI, TIP, CVPR, ICCV, AAAI and IJCAI.
He serves as a reviewer for top journals (IEEE TIP and ACM TIST) and conferences (CVPR, AAAI, IJCAI) .

Work Experience

2016.03 – 2016.12: Microsoft Research Asia    Visual Computing Group    Mentor: Jingdong Wang

2018.07 –    future: Alibaba DAMO Academy    Machine Intelligence Technologies (iDST -> MIT)


[8] Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting ZhuangZhuowen Tu and  Jingdong Wang. "Deep Convolutional Neural Networks with Merge-and-Run Mappings." In IJCAI, 2018. (accepted)

[7] Fangfang Wang*, Liming Zhao*, Xi Li, Xinchao Wang, and Dacheng Tao. “Geometry-Aware Scene Text Detection with Instance Transformation Network.” In CVPR, 2018. (accepted, *authors contributed equally)

[6] Xi Li, Liming Zhao*, Wei Ji, Yiming Wu, Fei Wu, Ming-Hsuan Yang, Dacheng Tao, and Ian Reid. “Multi-Task Structure-aware Context Modeling for Robust Keypoint-based Object Tracking.” IEEE Trans. Pattern Anal. and Mach. Intell. (TPAMI), 2018. (accepted, *corresponding author, advisor on first author)

[5] Liming Zhao, Xi Li, Jingdong Wang, and Yueting Zhuang. “Deeply-Learned Part-Aligned Representationsfor Person Re-Identification.” In ICCV, 2017.

[4] Yaqing Zhang, Xi Li, Liming Zhao, Zhongfei Zhang. “Semantics-aware DeepCorrespondence Structure Learning for Robust Person Re-identification.” In IJCAI, 2016.

[3] Xi Li, Liming Zhao*, Lina Wei, MingHsuan Yang, Fei Wu, Yueting Zhuang, Haibin Ling, and Jingdong Wang. “DeepSaliency: Multi-Task Deep Neural Network Model forSalient Object Detection.” IEEE Trans. Image Process. (TIP), 2016. (*corresponding author, advisor on first author)

[2] Yaqing Zhang, Xi Li, Zhongfei Zhang, Fei Wu, and Liming Zhao. “Deep Learning Driven Blockwise Moving Object Detection with Binary Scene Modeling.” Neurocomputing, 2015. 

[1] Liming Zhao, Xi Li, Jun Xiao, Fei Wu, and Yueting Zhuang. “Metric Learning Driven Multi-Task StructuredOutput Optimization for Robust Keypoint Tracking.” In AAAI, 2015.