Jingqing Zhang (张敬卿) is a 1st-year PhD (HiPEDS) at Department of Computing, Imperial College London under supervision of Prof. Yi-Ke Guo. His research interest includes Data Mining, Deep Learning, Machine Learning and their applications. He received his BEng degree in Computer Science and Technology from Tsinghua University, 2016.
- [03/2018] Our Chinese Deep Learning book is now published: “Deep Learning Using TensorLayer” 《深度学习：一起玩转TensorLayer》[Press] [Github]
Dong, Hao, Jingqing Zhang, Douglas McIlwraith, and Yike Guo. "I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation." Image Processing (ICIP), 2017 IEEE International Conference on. IEEE, 2017.
Mo, Yuanhan, Fangde Liu, Jingqing Zhang, Guang Yang, Taigang He, and Yike Guo. "Deep Poincare Map For Robust Medical Image Segmentation." arXiv preprint arXiv:1703.09200 (2017).
Liu, F., A. Oehmichen, J. Zhang, K. Sun, H. Dong, Y. Mo, and Y. Guo. "TensorDB: Database Infrastructure for Continuous Machine Learning."
董豪，郭毅可，杨光，张敬卿，于思淼，陈竑，林一鸣，莫元汉，袁航，幺忠玮，吴超，王剑虹 (Hao Dong, Yike Guo, Guang Yang et al), 深度学习：一起玩转TensorLayer (Deep Learning Using TensorLayer), 电子工业出版社 (Publishing House of Electronics Industry), 2018 ISBN: 9787121326226