Publications

Find full list of publications via Google Scholar.

Research Areas

Machine Learning and Deep Learning

Post-training Quantization for Neural Networks with Provable Guarantees
Code: GitHub
Authors: Jinjie Zhang, Yixuan Zhou, and Rayan Saab
Journal: Accepted by SIAM Journal on Mathematics of Data Science (SIMODS), appear soon in 2023.

Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features
Code: GitHub
Authors: Jinjie Zhang, Harish Kannan, Alexander Cloninger, Rayan Saab
Journal: arXiv:2106.02614, 2021.

Faster Binary Embeddings for Preserving Euclidean Distances
Code: GitHub
Presentation: slides
Authors: Jinjie Zhang, Rayan Saab
Conference: International Conference on Learning Representations (ICLR), 2021.

Numerical Analysis and Optimization

Grothendieck Constant is Norm of Strassen Matrix Multiplication Tensor
Authors: Shmuel Friedland, Lek-Heng Lim, Jinjie Zhang
Journal: Numerische Mathematik, 2019.

An Elementary and Unified Proof of Grothendieck’s Inequality
Authors: Shmuel Friedland, Lek-Heng Lim, Jinjie Zhang
Journal: L’Enseignement Mathématique, 2019.

Miscellaneous

On Refined Hardy-Knopp Type Inequalities in Orlicz Spaces and Some Related Results
Authors: Jinjie Zhang, Shenzhou Zheng
Journal: Journal of Inequalities and Applications, 2015.