Sotabase

Career

· Assistant Professor of Mathematics and Data Science, New York University2022–
· Associate Research Scholar, Princeton University2020–2022
· Postdoc Research Associate, Princeton University2020–2021
· Visiting Graduate Student, Institute for Advanced Study2019–2020
· Researcher, Simons Institute2019–2019
· Intern, Facebook Visual Understanding Team2018–2018
· Software Development Intern, Search Technologies, Amazon/A9 Product Search Lab2017–2017
· Intern, Amazon Web Services (AWS) Deep Learning Team2017–2017
· Research Summer Intern, IBM Thomas J. Watson Research Center2016–2016
· Ph.D. student in Institute for Computational Engineering and Sciences, University of Texas at Austin2014–2020
· Visiting Student, UCLA Biomath Department2013–2013
· B.S. in Mathematics, Zhejiang University2010–2014

Publications (112)

Gradient Coding: Avoiding Stragglers in Distributed Learning
International Conference on Machine Learning · 2017
521
cited
Few-Shot Learning via Learning the Representation, Provably
International Conference on Learning Representations · 2020
282
cited
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
Neural Information Processing Systems · 2018
177
cited
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
USENIX workshop on Tackling computer systems problems with machine learning techniques · 2018
94
cited
Gradient Coding
arXiv.org · 2016
78
cited
Inverting Deep Generative models, One layer at a time
Neural Information Processing Systems · 2019
57
cited
How Fine-Tuning Allows for Effective Meta-Learning
Neural Information Processing Systems · 2021
55
cited
Separation and recovery of iron and scandium from acid leaching solution of red mud using D201 resin
2020
54
cited
Coordinate-wise Power Method
Neural Information Processing Systems · 2016
43
cited
Solving Inverse Problems with a Flow-based Noise Model
International Conference on Machine Learning · 2020
41
cited
Separation and recovery of scandium and titanium from red mud leaching liquor through a neutralization precipitation-acid leaching approach
2020
39
cited
Compressed Sensing with Invertible Generative Models and Dependent Noise
arXiv.org · 2020
36
cited
SGD Learns One-Layer Networks in WGANs
International Conference on Machine Learning · 2019
36
cited
Discrete Attacks and Submodular Optimization with Applications to Text Classification
arXiv.org · 2018
26
cited
Robust Repetitive Control and Disturbance Rejection Based on Two‐Dimensional Model and Equivalent‐Input‐Disturbance Approach
2016
26
cited
Online Optimization of Fuzzy Controller for Coke-Oven Combustion Process Based on Dynamic Just-in-Time Learning
IEEE Transactions on Automation Science and Engineering · 2015
22
cited
Selective Removal of Iron from Acid Leachate of Red Mud by Aliquat 336
JOM · 2019
22
cited
Multi-scale modeling and fast inference for thermal environment analysis of air-cooled data center
Journal of Building Engineering · 2023
19
cited
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Neural Information Processing Systems · 2021
19
cited
Application of recycled ferric chloride for alkalinity regulation of bauxite residue
Journal of Cleaner Production · 2021
18
cited
Sotabase