On the Outage Probability Conjecture for MIMO Channels. - Gen Li 005; Jingkai Yan; Yuantao Gu (CoRR, 2017)

Outage Probability Conjecture Does Not Hold for Two-Input-Multiple-Output (TIM 0) System. - Gen Li 005; Jingkai Yan; Yuantao Gu (ISIT, 2018)

A General Framework for Understanding Compressed Subspace Clustering Algorithms. - Linghang Meng; Gen Li 005; Jingkai Yan; Yuantao Gu (IEEE J. Sel. Top. Signal Process., 2018)

Information Theoretic Lower Bound of Restricted Isometry Property Constant. - Gen Li 005; Jingkai Yan; Yuantao Gu (ICASSP, 2019)

Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery. - Junhui Zhang; Jingkai Yan; John Wright 001 (NeurIPS, 2021)

Generalized Approach to Matched Filtering using Neural Networks. - Jingkai Yan; Mariam Avagyan; Robert E. Colgan; Doga Veske; Imre Bartos; John N. Wright; Zsuzsa Márka; Szabolcs Márka (CoRR, 2021)

Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets. - Robert E. Colgan; Jingkai Yan; Zsuzsa Márka; Imre Bartos; Szabolcs Márka; John N. Wright (CoRR, 2022)

Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization. - Sam Buchanan; Jingkai Yan; Ellie Haber; John Wright 001 (CoRR, 2022)

Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning. - Robert E. Colgan; Zsuzsa Márka; Jingkai Yan; Imre Bartos; John N. Wright; Szabolcs Márka (CoRR, 2022)

Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks. - Jingkai Yan; Robert E. Colgan; John Wright 001; Zsuzsa Márka; Imre Bartos; Szabolcs Márka (CoRR, 2022)

TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds. - Jingkai Yan; Shiyu Wang; Xinyu Rain Wei; Jimmy Wang; Zsuzsanna Márka; Szabolcs Márka; John Wright 001 (CoRR, 2023)

Interpretable Machine Learning Architectures for Efficient Signal Detection with Applications to Gravitational Wave Astronomy - Jingkai Yan (2024)