Minimum variance portfolio optimization with robust shrinkage covariance estimation. - Liusha Yang; Romain Couillet; Matthew R. McKay (ACSSC, 2014)

Minimum variance portfolio optimization in the spiked covariance model. - Liusha Yang; Romain Couillet; Matthew R. McKay (CAMSAP, 2015)

A Robust Statistics Approach to Minimum Variance Portfolio Optimization. - Liusha Yang; Romain Couillet; Matthew R. McKay (IEEE Trans. Signal Process., 2015)

Random Matrix-Optimized High-Dimensional MVDR Beamforming. - Liusha Yang; Matthew R. McKay; Romain Couillet (SSP, 2018)

High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models. - Liusha Yang; Matthew R. McKay; Romain Couillet (IEEE Trans. Signal Process., 2018)

Optimally Combining Classifiers for Semi-Supervised Learning. - Zhiguo Wang 005; Liusha Yang; Feng Yin; Ke Lin; Qingjiang Shi; Zhi-Quan Luo (CoRR, 2020)

Hypothesis Test for Leakage Detection in Water Pipelines with High-Dimensional Sensor Signals. - Liusha Yang; Matthew R. McKay; Xun Wang 002 (ICASSP, 2023)

Hypothesis Test Procedures for Detecting Leakage Signals in Water Pipeline Channels. - Liusha Yang; Matthew R. McKay; Xun Wang 002 (IEEE Trans. Signal Process., 2023)

A Truthful Combinatorial Reverse Auction Mechanism for Crowdshipping. - Shibo Chen 002; Haoyu Miao; Zhenwei Guo; Liusha Yang; Canqi Yao; Zaiyue Yang (IEEE Internet Things J., 2023)

Assessing Air-Interface Dataset Similarity and Diversity for AI-Enabled Wireless Communications. - Hanning Tang; Liusha Yang; Rui Zhou; Jing Liang; Hong Wei; Xuan Wang; Qingjiang Shi; Zhi-Quan Luo (ICC Workshops, 2024)

Test-Time Adaptation via Dynamic Historical Knowledge Vector Fusion. - Zhaoru Chen; Yongjin Wu; Qingsong Ye; Liusha Yang; Jingyan Jiang (ICIC (18), 2025)

Partitioned Dual Weighting Strategy for Combining Regression Estimates. - Liusha Yang; Siqi Zhao; Lingjie Li; Shibo Chen (ICIC (10), 2025)

Understanding adversarial robustness against on-manifold adversarial examples. - Jiancong Xiao; Liusha Yang; Yanbo Fan; Jue Wang 001; Zhi-Quan Luo (Pattern Recognit., 2025)