- Ph.D. in Operations Research, Georgia Institute of Technology, 2015
- M.S. in Computational Science and Engineering, Georgia Institute of Technology, 2015
- B.S. in Mathematics and Applied Mathematics, University of Science and Technology of China, 2010
- Assistant Professor, Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Jan 2015-present
For more information
Other Professional Employment
- Research Intern, Mitsubishi Electric Research Laboratories, Cambridge, Massachusetts, Summer 2013
- Research Intern, Microsoft Research Asia, Beijing, China, Summer 2009
- nonparametric statistical learning
- optimization under uncertainty
- machine learning
- large-scale optimization
- Data Analytics
- Decision and Control Systems
- Financial Engineering
- Operations Research
Selected Articles in Journals
Articles in Conference Proceedings
- B. Dai, N. He, Y. Pan, B. Boots, and L. Song, "Learning from Conditional Distributions via Dual Kernel Embedding", Artificial Intelligence and Statistics (AISTATS), 2017.
- B. Dai, N. He, H. Dai, and L. Song, "Provable Bayesian Inference via Particle Mirror Descent," Artificial Intelligence and Statistics (AISTATS), 2016.
- N. He and Z. Harchaoui, "Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization," Neural Information Processing Systems (NIPS), 2015.
- N. Du, Y. Wang, N. He, and L Song, "Time-Sensitive Recommendation From Recurrent User Activities." Neural Information Processing Systems (NIPS), 2015.
- B. Dai, B. Xie, N. He, Y. Liang, A. Raj, M.F. Balcan, and L. Song, "Scalable Kernel Methods via Doubly Stochastic Gradients," Neural Information Processing Systems (NIPS), 2014.
- H. Ouyang, N. He, L. Tran, and A. Gray, "Stochastic Alternating Direction Method of Multipliers," International Conference on Machine Learning (ICML), 2013.