Fang Zhang (章放)

Sep 2015 - Jul 2018, Master of Science, Department of Computer Science and Technology, Tsinghua University, China.

• Did research on Deep Learning, Machine Learning, Data Mining.

• Advisor: Prof. Jie Tang, Knowledge Engineering Group (KEG).

Sep 2011 - Jul 2015, Bachelor of Science in Engineering, Department of Computer Science and Technology, Tsinghua University, China.

Jul 2020 - Now, Quantitative Developer, AI Infra/HPC, Ubiquant, China.

• AI platform, distributed training framework, k8s.

• Trading system.

Jul 2018 - Jul 2020, Research Engineer, AI Group, WeBank, China.

• Did quantitative research on ETFs/Stocks trading and implemented and backtested some strategies.

• Did research on deep learning and developed effective and efficient OCR models on Chinese ID Card, Indonesia e-KTP Card and Motor Vehicle Register Certificate (MVRC). And among these projects, I fully led the MVRC project and our OCR model achieved the highest accuracy among competitors with similar time cost.

Sep 2015 - Jul 2018, Research Assistant, Knowledge Engineering Group (KEG), Department of Computer Science and Technology, Tsinghua University, China.

• Proposed a model which can fast and accurately extract top-k topics from any given area, with code, data and API published, and a preprint version available, and a full paper accepted by the 3rd IEEE International Conference on Data Science in Cyberspace (IEEE DSC'18).

• Advisor: Prof. Jie Tang.

Aug 2016 - Oct 2016, Visiting Scholar, Language Intelligence & Information Retrieval Lab, Department of Computer Science, KU Leuven, Belgium.

• Worked on automatic keyphrase extraction from text.

• Advisor: Prof. Marie-Francine Moens.

Apr 2015 - Sep 2015, Researcher & Developer Intern, Megvii (Face++), China.

• Researched and developed neural network models to do human face attractiveness rating and pedestrian attributes recognition.

Fang Zhang, Xiaochen Wang, Jingfei Han, Jie Tang, and Shiyin Wang. Fast Top-k Area Topics Extraction with Knowledge Base. Preprint on arXiv:1710.04822, 2017. Accepted by the 3rd IEEE International Conference on Data Science in Cyberspace (IEEE DSC'18). [Code, Data & API]

Jul 2014, Outstanding Student Leader, Department of Computer Science and Technology at Tsinghua University.

Nov 2010, First Prize, Mathematical Competition of Senior High School of China.

Nov 2009, First Prize, Mathematical Competition of Senior High School of China.

Programming Languages: Python, C/C++, MATLAB, Java, Go, JavaScript, Bash.