me

Jian Wang

I am a PhD pre-candidate in Michigan Vision & Learning Lab, advised by Prof. Jia Deng. My research interest is to apply deep learning method to solve logic 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.

Email: jianwolf@umich.edu

Publications


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.

Teaching Experience


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

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

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

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

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