PhD candidate at LAMDA group

(Name in Chinese: 冯霁)


                  Ji FENG

I joined the department as a PhD student of Department of Computer Science and Technology in Nanjing University since 2015 and became a member of LAMDA Group , led by Professor Zhi-Hua Zhou.

Before that, I obtained B.Eng. Degree in Computer Science in 2015 from Taishan College , Shandong University . (Taishan College is the so-called "pilot class" led by MOE which intakes only 15 students from 10,000 freshmen per year.) My research interest in SDU was mainly on Information Visualization and Visual Analytics. I also did some fun stuffs in differential privacy and computational geometry. Upon graduation at SDU, I was enrolled in the direct PhD program at Nanjing University.

I was a semi-professional young writer for some time. For instance, I had won some quite prestigious nation-wide awards for young writers including this one (first prize). I abandoned this superpower for quite a while and I do NOT have any intention to continue this path. However, I still do enjoy reading great books and explaining ideas (scientific ideas, mostly) in the simplest way.

Research Interest

  • Deep Forest
  • HPC
  • Deep Neural Networks
  • Quantitative Trading


J. Feng and Z.-H. Zhou. AutoEncoder by Forest In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, Lousiana, USA, 2018.

Z.-H. Zhou and J. Feng. Deep forest: Towards an alternative to deep neural networks. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, pp.3553-3559. [code on github]

J. Feng and Z.-H. Zhou. Deep MIML Network. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, CA, 2017,pp.1884-1890. [code on github]

Work Experience

Quant Intern at WizardQuant

Jan 2015 - May 2015

NOTE: This is the work BEFORE my enrollment at LAMDA

I worked as a "quant researcher" at WizardQuant, a private hedge fund.
My primary contribution is introducing machine learning techniques into High Frequency Trade algorithms.

P.S. I still do quant trading using AI systems built by myself in spare time. Automated trading via AI methods (instead of traditional technical methods) should be the only way to go.


Here I only list some awards that related to academia.

ACM/ICPC Asia, Changsha Site

Bronze Medal, 2012

This is a contest on programming and problem solving for college students across the world.

Outstanding Undergraduate Research Award

Frist Prize, 2013

This is a research grand (¥10,000 per project) organized by MOE to encourage undergraduate students to participant in academic research. My research on differential privacy won the first prize.

National Entrepreneurship Chanllenge

Grand Prize, 2013

The National Entrepreneurship Chanllenge held by MOE, is the biggest bussiness plan competition for students in China. I won the grand prize(特等奖) in province.

Contact Information

Mailing Address:

Room 912
National Key Laboratory for Novel Software Technology
Nanjing University
Nanjing 210093, China