Zhihan Xiong

I am currently a second-year master student in the Department of Statistics at Stanford University.

My research interest lies in a convex combination of machine learning, probability and optimization.

Prior to Stanford, I graduated from University of Illinois at Urbana-Champaign in 2018, with dual degrees in Mathematics and Engineering Physics, where I was fortunate to be advised by Prof. Pierre Moulin.

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Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning [pdf]
Tian Tan*, Zhihan Xiong*, Vikranth R. Dwaracherla
Association for the Advancement of Artificial Intelligence (AAAI, Oral), 2020

Manuscripts/ Projects

Few-Shot Learning on Google Landmark Challenge [pdf]
Zhihan Xiong, Mi Jeremy Yu, Louise Qianying Huang
CS 231N: Convolutional Neural Networks for Visual Recognition, Stanford University

Adversarial Machine Learning with GAN [pdf]
Zhihan Xiong, Pierre Moulin
Undergraduate Senior Thesis

Dirichlet Process Mixture Model with Variational Inference [pdf]
Zhihan Xiong
Literature Review


CS 234: Reinforcement Learning, Teaching Assistant, Winter 2020
CS 229: Machine Learning, Teaching Assistant, Autumn 2019