CV

Education

• Ph.D in University of Texas at Austin, 2021 (expected)
• M.S. in University of California, Los Angeles, 2017
• B.S. in Fudan University, 2015

Work experience

• Twitter: Machine Learning Research Intern (Summer 2020)
  • Apply learn to rank model on push notification recommendation
• Bytedance: Research Intern (Winter 2020)
  • Build Bayesian testing platform
  • Tune hyperparameter with Bayesian Optimization
• Twitter: Data Scientist Intern (Summer 2019)
  • Metric clustering
• Twitter: Data Scientist Intern (Summer 2018)
  • CUPED extension
• VMWare: R&D Intern (Summer 2017)
  • Develop bug auto-triage tool

Publications

Clinical Implications of the T790M Mutation in Disease Characteristics and Treatment Response in Patients With Epidermal Growth Factor Receptor (EGFR)-Mutated Non–Small-Cell Lung Cancer (NSCLC)

D. Gaut, M. Sim, Y. Yue, B. Wolf, P. Abarca, J. Carroll, J. Goldman, E. Garon. "Clinical Implications of the T790M Mutation in Disease Characteristics and Treatment Response in Patients With Epidermal Growth Factor Receptor (EGFR)-Mutated Non–Small-Cell Lung Cancer (NSCLC)" Clinical Lung Cancer(2018).

T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method

Y. Yue, L. Vandenberghe, W.K. Wong. "T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method" Statistics and Computing(2018).

ARSM: Augment-REINFORCE-swap-merge estimator for gradient backpropagation through categorical variables

M. Yin*, Y. Yue*, M. Zhou . "ARSM: Augment-REINFORCE-swap-merge estimator for gradient backpropagation through categorical variables" ICML(2019).

Semi-supervised Learning using Adversarial Training with Good and Bad Samples

W. Li, Z. Wang, Y. Yue, J. Li, W. Speier, M. Zhou, C. Arnold. "Semi-supervised Learning using Adversarial Training with Good and Bad Samples" Machine Vision and Applications(2020).

Discrete action on-policy learning with action-value critic

Y. Yue, Y. Tang, M. Yin, and M. Zhou . "Discrete action on-policy learning with action-value critic" AISTATS(2020).

A Unified Framework for Tuning Hyperparameters in Clustering Problems

X. Fan, Y. Yue, P. Sarkar, R. Wang . "A Unified Framework for Tuning Hyperparameters in Clustering Problems" ICML(2020).

Implicit Distributional Reinforcement Learning

Y. Yue*, Z. Wang*, and M. Zhou . "Implicit Distributional Reinforcement Learning" Neurips(2020).

Learning to Rank For Push Notifications Using Pairwise Expected Regret

Y. Yue*, Y. Xie, H. Wu, H. Jia, S. Zhai, W. Shi, J. Hunt*. "Learning to Rank For Push Notifications Using Pairwise Expected Regret" Arxiv(2022).