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Academic Achievements
Two papers at NeurIPS 2023: 'SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions' and 'SQ Lower Bounds for Learning Mixtures of Linear Classifiers'
Paper at NeurIPS 2022: 'SQ Lower Bounds for Learning Single Neurons with Massart Noise'
Paper at COLT 2022: 'Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models'
Paper at COLT 2021: 'Outlier-Robust Learning of Ising Models Under Dobrushin's Condition'
Paper at ICALP 2020: 'Contraction: a Unified Perspective of Correlation Decay and Zero-Freeness of 2-Spin Systems'
Paper at PODC 2017: 'What can be sampled locally?'
Served as reviewer for top conferences: NeurIPS'21, ICML'22, ICALP'22, COLT'22, ICLR'24, STOC'24