Generalized Robust Shrinkage Estimator and Its Application to STAP Detection Problem. - Frédéric Pascal 001; Yacine Chitour; Yihui Quek (IEEE Trans. Signal Process., 2014)

Quantum and Super-quantum enhancements to two-sender, two-receiver channels. - Yihui Quek; Peter W. Shor (CoRR, 2017)

Adaptive Quantum State Tomography with Neural Networks. - Yihui Quek; Stanislav Fort; Hui Khoon Ng (CoRR, 2018)

Entropy Bound for the Classical Capacity of a Quantum Channel Assisted by Classical Feedback. - Dawei Ding 002; Yihui Quek; Peter W. Shor; Mark M. Wilde (ISIT, 2019)

Minimum Power to Maintain a Nonequilibrium Distribution of a Markov Chain. - Dmitri S. Pavlichin; Yihui Quek; Tsachy Weissman (CoRR, 2019)

Robust quantum minimum finding with an application to hypothesis selection. - Yihui Quek; Clément L. Canonne; Patrick Rebentrost (CoRR, 2020)

Quantum algorithm for Petz recovery channels and pretty good measurements. - András Gilyén; Seth Lloyd; Iman Marvian; Yihui Quek; Mark M. Wilde (CoRR, 2020)

Upper bound on the classical capacity of a quantum channel assisted by classical feedback. - Dawei Ding 002; Sumeet Khatri; Yihui Quek; Peter W. Shor; Xin Wang 022; Mark M. Wilde (ISIT, 2021)

Private learning implies quantum stability. - Yihui Quek; Srinivasan Arunachalam; John A. Smolin (NeurIPS, 2021)

Learnability of the output distributions of local quantum circuits. - Marcel Hinsche; Marios Ioannou; Alexander Nietner; Jonas Haferkamp; Yihui Quek; Dominik Hangleiter; Jean-Pierre Seifert; Jens Eisert; Ryan Sweke (CoRR, 2021)

A single T-gate makes distribution learning hard. - Marcel Hinsche; Marios Ioannou; Alexander Nietner; Jonas Haferkamp; Yihui Quek; Dominik Hangleiter; Jean-Pierre Seifert; Jens Eisert; Ryan Sweke (CoRR, 2022)

Learning quantum states and unitaries of bounded gate complexity. - Haimeng Zhao; Laura Lewis; Ishaan Kannan; Yihui Quek; Hsin-Yuan Huang; Matthias C. Caro (CoRR, 2023)

Bounding the Forward Classical Capacity of Bipartite Quantum Channels. - Dawei Ding 002; Sumeet Khatri; Yihui Quek; Peter W. Shor; Xin Wang 022; Mark M. Wilde (IEEE Trans. Inf. Theory, 2023)

The Learning Stabilizers with Noise problem. - Alexander Poremba; Yihui Quek; Peter W. Shor (IACR Cryptol. ePrint Arch., 2024)

Multivariate trace estimation in constant quantum depth. - Yihui Quek; Eneet Kaur; Mark M. Wilde (Quantum, 2024)

Information-Computation Gaps in Quantum Learning via Low-Degree Likelihood. - Sitan Chen; Weiyuan Gong; Jonas Haferkamp; Yihui Quek (CoRR, 2025)