William Yue

I am a third year undergraduate student at the University of Texas at Austin, advised by Peter Stone. I am part of the Turing Scholars honors program, pursuing a dual major in Computer Science and Mathematics. I will be applying for machine learning PhD programs in Fall 2024.

Email / CV / Scholar / Twitter / Github

Research

I'm interested in machine learning, sequential decision making, emboddied AI, and robotics.

	t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making William Yue, Bo Liu, Peter Stone COLLA, 2024 AAMAS Extended Abstract, 2024 NeurIPS ALOE Workshop, 2023 project page / arXiv / code A deep generative replay method that generates samples by conditioning on the trajectory timestep.
	Fast inference of genetic recombination rates in biobank scale data Ardalan Naseri, William Yue, Shaojie Zhang, Degui Zhi Genome Research, 2023 RECOMB, 2023 ASHG, 2021 (Reviewers' Choice Award) bioRXiv / code An efficient tool to infer recombination rates using a biobank-scale haplotype panel.
	P-smoother: efficient PBWT smoothing of large haplotype panels William Yue, Ardalan Naseri, Victor Wang, Pramesh Shakya, Shaojie Zhang, Degui Zhi Bioinformatics Advances, 2022 code An efficient method to correct recent mutations and genotyping errors in biobank-scale haplotype panels.
	Efficient Haplotype Block Matching in Bi-Directional PBWT Ardalan Naseri, William Yue, Shaojie Zhang, Degui Zhi WABI, 2021 code An efficient method to find blocks of matches around each variant site and study the changes of matching blocks using forward and reverse PBWT.

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