Scholar
Nan Ding
Google Scholar ID: eteU0U4AAAAJ
Google
Citations & Impact
Citations
9,936
H-index
22
i10-index
28
Publications
20
Co-authors
15
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - "Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset for Automatic Image Captioning", ACL, 2018
- - "Characterizing Quantum Supremacy in Near-Term Devices", Nature Physics 14(6), 2018
- - "Cold-Start Reinforcement Learning with Softmax Policy Gradient", NIPS, 2017
- - "What is the Computational Value of Finite-Range Tunneling?", Physical Review X 6 (3), 2016
- - "On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators", NIPS, 2015
- - "Bayesian Sampling using Stochastic Gradient Thermostats", NIPS, 2014
- - "Large-scale Object Classification using Label Relation Graphs", ECCV, 2014 (ECCV 2014 Best Paper Award)
- - "Statistical Machine Learning in the t-exponential Family of Distributions", Ph.D. Dissertation, Purdue University, 2013
- - "T-logistic Regression for Binary and Multiclass Classification", Technical Report, 2013
- - "Robust Classification with Adiabatic Quantum Optimization", ICML, 2012
- - "t-divergence Based Approximate Inference", NIPS, 2011
- - "t-logistic Regression", NIPS, 2010
Research Experience
- - Research Scientist at Google Inc.
Education
- - Ph.D. in Computer Science from Purdue University, May 2013
- - Master's degree from Purdue University, December 2010
- - Bachelor's degree in Electronic Engineering from Tsinghua University, June 2008
Background
- Primary research interests are machine learning and quantum computation.
