Publication

YellowFin and the Art of Momentum Tuning
Jian Zhang, Ioannis Mitliagkas, Christopher Ré.
arXiv preprint arXiv:1706.03471 June 2017.
[PDF] [Blog]

Peta-scale Deep Learning: Supervised and Semi-supervised classification for scientific data
Thorsten Kurth, Jian Zhang, Nadathur Satish, Ioannis Mitliagkas, Evan Racah, Md. Mostofa Ali Patwary, Tareq Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Shridharan, Prabhat, Pradeep Dubey.
Supercomputing (SC) 2017.
[PDF]

SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang.
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2016.
Best resource paper award.
[PDF] [Project Page]

Higher-Order Inference for Multi-class Log-supermodular Models
Jian Zhang, Josip Djolonga, Andreas Krause.
International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015.

Message Passing Inference for Large Scale Graphical Models with High Order Potentials
J. Zhang, Alexander G. Schwing, Raquel Urtasun.
Neural Information Processing Systems (NIPS), Montreal, Quebec, Canada, December 2014.
[PDF] [Project Page]

Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors
Jian Zhang, Kan Chen, Alexander G. Schwing, Raquel Urtasun.
International Conference on Computer Vision (ICCV), Sydney, Australia, December 2013.
[PDF] [Project Page]

Non-iterative Normalized Feature Extraction in Large Viewpoint Variances Based on PCA of Gradient
J. Zhang, C. Song, D. Wen.
IS&T/SPIE Electronic Imaging (EI), Burlingame, California, USA, February 2013.
[PDF]

Teaching

Digital Circuits
ETH Zurich, Spring 2015, 252-0014-00L

Linear Algebra
ETH Zurich, Fall 2014, 401-0131-00L

Digital Circuits
ETH Zurich, Spring 2014, 252-0014-00L

Computer Science I
ETH Zurich, Fall 2013, 252-0847-00L