Here is my CV in English. :)
Biography
I am currently a third year Master student majored in Computer Science (CS) at the Sun Yat-Sen University (SYSU), advised by Prof. Liang Lin. Previously, I graduated with a Bachelor degree from Bejing University of Post and Telecommunication (BUPT).
Research Interests
- Computer Vision: Object detection and segmentation, Sketch synthesis, Super resolution
- Machine Learning: Deep learning
Publications
- Liliang Zhang, Liang Lin, Xian Wu, Shengyong Ding, Lei Zhang. End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning. Proc. of ACM International Conference on Multimedia Retrieval (ICMR), 2015. [arxiv pdf]
- Xiaolong Wang, Liliang Zhang, Liang Lin, Zhujin Liang and Wangmeng Zuo. Joint Task Learning via Deep Neural Networks with Application to Generic Object Extraction. Proc. of Advances in Neural Information Processing Systems (NIPS), 2014. [pdf]
Awards
- ILSVRC 2014, cls+loc track, 3rd
- Baidu Icome Contest 2013, “慧眼识人” track, 8th
Coding skills
- C++, Matlab, Android (Java), some Python and Shell
- Deep learning toolbox: Caffe
- Quick learner, and try to be a full stack engineer
Contacts
- Email: zhangll.level0(at)gmail.com
About me
I was borned as a Cantonese at Zhaoqing, 1990-10-04.
I like sports, reading and board games in my spare time.
这里开始是中文部分 ^_^
目前就读于孙逸仙魔法学校，方向为计算机视觉与机器学习。师从林倞教授，目前在一个专注于学术研究的实验室搞深度学习相关的项目。
联系邮箱： zhangll.level0(at)gmail.com
Book Reading
2015
- 【幸福的方法 作者：泰勒•本-沙哈尔】 4星
幸福=快乐(当下)+意义（未来）。书中的反思和课后练习都不错。
2014
- 【把时间当作朋友 作者: 李笑来】 【读书笔记】 4星
耐心，耐心，耐心。 - 【乌合之众】 【读书笔记】 4星
如何洗脑和反洗脑。 - 【思考，快与慢】 【读书笔记】
多用系统2，减少偏见。 - 【赤裸裸的统计学】 3.5星
大众科普读物，能够联系起概率论学过的概念。但统计学毕竟是实践的学科，没有可操作的书看完就会忘记。
MOOC
- Introduction to Finance, Michigan@coursera
[My Note] [Statement of Accomplishment] - Machine Learning, Stanford@coursera
[My Note][Statement of Accomplishment] - Principles of Written English, Part 3, Berkeley@edX
[Honor Code Certificate] - The Data Scientist’s Toolbox, John Hopkins@coursera
[Statement of Accomplishment] - R Programming, John Hopkins@coursera
[Statement of Accomplishment] - Getting and Cleaning Data, John Hopkins@coursera
[My Note][Statement of Accomplishment] - Model Thinking, Michigan@coursera
[My Note]
