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Hi, I'm a ph.D. student in the theory of computation group at Harvard University, where I'm fortunate to be advised by Prof. Boaz Barak. I recieved by B.S. from University of Washington.
I'm broadly interested in Probability theory, Optimization, Machine learning, and Algorithms.
Papers:
Central Limit Theorem of Overlap for the Mean Field Ghatak-Sherrington model
Yueqi Sheng, Qiang Wu (Submitted to JMP)
Robust reconstruction of single-cell RNA-seq data with iterative gene weight updates
Yueqi Sheng, Boaz Barak, Mor Nitzan (ISMB/EECB 2023)
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs
Boaz Barak, Chi-Ning Chou, Zhixian Lei, Tselil Schramm, Yueqi Sheng (NeurIPS 2019)
Teaching:
Fall 2023: (COMPSCI 121) Introduction to Computer Science
Teaching Fellow
Spring 2018: (COMPSCI 127) Cryptography
Teaching Fellow