Jian Wang

I am a master student in computer science at the University of Michigan. I am working in Michigan Vision & Learning Lab, advised by Prof. Jia Deng. My research interest is to apply deep learning method to solve logic and reasoning problems.

I worked on quantum information theory with Prof. Yaoyun Shi (2015-2016). I received my B.S. in Physics at Peking University in 2015.


My resume


Think Visually: Question Answering through Virtual Imagery.
Ankit Goyal, Jian Wang and Jia Deng.
Association for Computational Linguistics (ACL), 2018.

Premise Selection for Theorem Proving by Deep Graph Embedding. [paper]
Mingzhe Wang*, Yihe Tang*, Jian Wang, and Jia Deng (*equal contribution).
Neural Information Processing Systems (NIPS), 2017. Spotlight

Fidelity of measurement-based quantum computation in a bosonic environment. [paper]
Jian Wang, Ding Zhong, Liangzhu Mu, and Heng Fan.
Phys. Rev. A 90, 052306, 2014.

Measurement-based quantum computation under different types of noises. [paper]
Ding Zhong, Jian Wang, Ning Dai, Liang-Zhu Mu, Heng Fan.
arXiv preprint, 2013.

Teaching Experience

EECS 442: Computer vision (Winter 2018), University of Michigan.
Head graduate student instructor.

EECS 542: Advanced computer vision (Fall 2017), University of Michigan.
Graduate student instructor.

EECS 442: Computer vision (Winter 2017), University of Michigan.
Graduate student instructor.

EECS 203: Discrete mathematics (Fall 2016), University of Michigan.
Graduate student instructor.

Theoretical mechanics (Spring 2015), Peking University.
Undergraduate teaching assistant.

Programming languages

Python (including TensorFlow and PyTorch), MATLAB, C/C++, PHP, SQL.




My hobbies: reading, classical music, badminton, gym workout.

I was a member of Cycling Association of Peking University. I led a two-day cycling tour to the countryside north of Beijing.

My favorite book is Principles by Ray Dalio.

My favorite piano pieces: Variations on a Theme of Chopin (Rachmaninoff), Piano Concerto No. 2 (Saint-Saƫns), and Piano Concerto No. 3 (Prokofiev).