Liusha Yang

16 papers Misc 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural Nonlinear Shrinkage of Covariance Matrices for Minimum Variance Portfolio Optimization.
CoRR
Liusha Yang, Siqi Zhao, Shuqi Chai
2025 J jnl
Investigating training objective for flow matching-based speech enhancement.
CoRR
Liusha Yang, Ziru Ge, Gui Zhang, Junan Zhang, Zhizheng Wu
2025 — conf
Partitioned Dual Weighting Strategy for Combining Regression Estimates.
ICIC (10)
Liusha Yang, Siqi Zhao, Lingjie Li, Shibo Chen
2025 — conf
Test-Time Adaptation via Dynamic Historical Knowledge Vector Fusion.
ICIC (18)
Zhaoru Chen, Yongjin Wu, Qingsong Ye, Liusha Yang, Jingyan Jiang
2025 J jnl
Understanding adversarial robustness against on-manifold adversarial examples.
Pattern Recognit.
Jiancong Xiao, Liusha Yang, Yanbo Fan, Jue Wang, Zhi-Quan Luo
2024 — conf
Assessing Air-Interface Dataset Similarity and Diversity for AI-Enabled Wireless Communications.
ICC Workshops
Hanning Tang, Liusha Yang, Rui Zhou, Jing Liang, Hong Wei, Xuan Wang, Qingjiang Shi, Zhi-Quan Luo
2023 J jnl
A Truthful Combinatorial Reverse Auction Mechanism for Crowdshipping.
IEEE Internet Things J.
Shibo Chen, Haoyu Miao, Zhenwei Guo, Liusha Yang, Canqi Yao, Zaiyue Yang
2023 J jnl
Hypothesis Test Procedures for Detecting Leakage Signals in Water Pipeline Channels.
IEEE Trans. Signal Process.
Liusha Yang, Matthew R. McKay, Xun Wang
2023 Misc conf
Hypothesis Test for Leakage Detection in Water Pipelines with High-Dimensional Sensor Signals.
ICASSP
Liusha Yang, Matthew R. McKay, Xun Wang
2022 J jnl
Understanding Adversarial Robustness Against On-manifold Adversarial Examples.
CoRR
Jiancong Xiao, Liusha Yang, Yanbo Fan, Jue Wang, Zhi-Quan Luo
2020 J jnl
Optimally Combining Classifiers for Semi-Supervised Learning.
CoRR
Zhiguo Wang, Liusha Yang, Feng Yin, Ke Lin, Qingjiang Shi, Zhi-Quan Luo
2018 J jnl
High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models.
IEEE Trans. Signal Process.
Liusha Yang, Matthew R. McKay, Romain Couillet
2018 — conf
Random Matrix-Optimized High-Dimensional MVDR Beamforming.
SSP
Liusha Yang, Matthew R. McKay, Romain Couillet
2015 J jnl
A Robust Statistics Approach to Minimum Variance Portfolio Optimization.
IEEE Trans. Signal Process.
Liusha Yang, Romain Couillet, Matthew R. McKay
2015 — conf
Minimum variance portfolio optimization in the spiked covariance model.
CAMSAP
Liusha Yang, Romain Couillet, Matthew R. McKay
2014 Misc conf
Minimum variance portfolio optimization with robust shrinkage covariance estimation.
ACSSC
Liusha Yang, Romain Couillet, Matthew R. McKay