I am a research scientist in the Ads Core ML Eng team at Facebook.
I completed my Ph.D. in theoretical cryptography at Harvard University, where I was fortunate to have professor Salil Vadhan as my advisor. Before that, I studied physics at the National Taiwan University and computer science at the Columbia University.
Research intern at Facebook, Summer 2018
Teaching fellow of CS225 Pseudorandomness, Fall 2016
Teaching fellow of CS124 Algorithm, Spring 2017
Software engineer intern at Rocket Fuel Inc, Spring 2014
My research interests include pseudorandomness and theory in differential privacy. During the visiting at Academia Sinica of Taiwan in 2015-2016, I was hosted by Kai-Min Chung, who lead me into the world of quantum information.
Dissertation: Computational Notions of Entropy: Classical, Quantum, and Applications (May 2019)
Mark Bun, Yi-Hsiu Chen, and Salil Vadhan.
Separating Computational and Statistical Differential Privacy in the Client-Server Model
Yi-Hsiu Chen, Kai-Min Chung, Ching-Yi Lai, Salil Vadhan, and Xiaodi Wu.
Computational Notions of Quantum Min-Entropy
Yi-Hsiu Chen, Kai-Min Chung, and Jyun-Jie Liao.
On the Complexity of Simulating Auxiliary Input
Yi-Hsiu Chen, Mika Göös, Salil Vadhan, and Jiapeng Zhang.
A Tight Lower Bound for Entropy Flattening
Rohit Agrawal, Yi-Hsiu Chen, Thibaut Horel, and Salil Vadhan.
Unifying Computational Entropies via Kullback–Leibler Divergence