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2020 – today
- 2024
[c5]Hanning Tang, Liusha Yang, Rui Zhou, Jing Liang, Hong Wei, Xuan Wang, Qingjiang Shi, Zhi-Quan Luo:
Assessing Air-Interface Dataset Similarity and Diversity for AI-Enabled Wireless Communications. ICC Workshops 2024: 1623-1628- 2023
- [j4]Shibo Chen
, Haoyu Miao, Zhenwei Guo, Liusha Yang, Canqi Yao, Zaiyue Yang:
A Truthful Combinatorial Reverse Auction Mechanism for Crowdshipping. IEEE Internet Things J. 10(20): 18225-18236 (2023) - [j3]Liusha Yang, Matthew R. McKay, Xun Wang:
Hypothesis Test Procedures for Detecting Leakage Signals in Water Pipeline Channels. IEEE Trans. Signal Process. 71: 4353-4368 (2023) - [c4]Liusha Yang, Matthew R. McKay, Xun Wang:
Hypothesis Test for Leakage Detection in Water Pipelines with High-Dimensional Sensor Signals. ICASSP 2023: 1-5 - 2022
- [i2]Jiancong Xiao, Liusha Yang, Yanbo Fan, Jue Wang, Zhi-Quan Luo:
Understanding Adversarial Robustness Against On-manifold Adversarial Examples. CoRR abs/2210.00430 (2022) - 2020
- [i1]Zhiguo Wang, Liusha Yang, Feng Yin, Ke Lin, Qingjiang Shi, Zhi-Quan Luo:
Optimally Combining Classifiers for Semi-Supervised Learning. CoRR abs/2006.04097 (2020)
2010 – 2019
- 2018
- [j2]Liusha Yang, Matthew R. McKay, Romain Couillet:
High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models. IEEE Trans. Signal Process. 66(7): 1933-1947 (2018) - [c3]Liusha Yang, Matthew R. McKay, Romain Couillet:
Random Matrix-Optimized High-Dimensional MVDR Beamforming. SSP 2018: 473-477 - 2015
- [j1]Liusha Yang, Romain Couillet, Matthew R. McKay:
A Robust Statistics Approach to Minimum Variance Portfolio Optimization. IEEE Trans. Signal Process. 63(24): 6684-6697 (2015) - [c2]Liusha Yang, Romain Couillet, Matthew R. McKay:
Minimum variance portfolio optimization in the spiked covariance model. CAMSAP 2015: 13-16 - 2014
- [c1]Liusha Yang, Romain Couillet, Matthew R. McKay:
Minimum variance portfolio optimization with robust shrinkage covariance estimation. ACSSC 2014: 1326-1330
Coauthor Index
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