Hello! I am a PhD candidate in Department of Computer Science and Engineering, UCSD, working with Prof. Kamalika Chaudhuri. Prior to this, I was an undergraduate student in Department of Machine Intelligence, School of EECS, Peking University, China, where I spent a great time studying machine learning theory with Prof. Liwei Wang. In Summer 2015, I was a research intern at Yahoo Labs NYC, mentored by Dr. Alina Beygelzimer. In Summer 2016, I did a second internship at Yahoo Research NYC, working with Dr. Alina Beygelzimer and Dr. Francesco Orabona.

My CV can be found here.

## Research

My research interest lies in the intersection of theory and applications of machine learning. I am primarily working on interactive learning and confidence-rated prediction, formalizing their theoretical guarantees as well as designing practical algorithms.

## Publications

### Preprints

• Revisiting Perceptron: Efficient and Label-Optimal Active Learning of Halfspaces.

### Conferences

• Efficient Online Bandit Multiclass Learning with $$\tilde O(\sqrt{T})$$ Regret.

ICML 2017.
• Search Improves Label for Active Learning.

NIPS 2016.
• The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions.

COLT 2016.
• Active Learning from Weak and Strong Labelers.

NIPS 2015.
• Spectral Learning of Large Structured HMMs for Comparative Epigenomics.

NIPS 2015.
• Beyond Disagreement-based Agnostic Active Learning.

NIPS 2014.

### Workshop Contributions

• A Potential-based Framework for Online Learning with Mistakes and Abstentions.

NIPS 2016 workshop on Reliable Machine Learning in the Wild.
• Search Improves Label for Active Learning.

ICML Workshop on Data Efficient Machine Learning 2016.
• Active Learning from Weak and Strong Labelers.

ICML Active Learning Workshop 2015.
• Improved Algorithms for Confidence-Rated Prediction with Error Guarantees.

NIPS 2013 Workshop on Learning Faster from Easy Data.

## Selected Reports

• Active Learning with Connections to Confidence-rated Prediction.

Research Exam, UCSD, 2014.

## Miscellaneous

A quine I wrote in C++ a while ago: quine_1.cpp.