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Linear Stability Hypothesis and Rank Stratification for Nonlinear Models


Nov 21, 2022
Yaoyu Zhang, Zhongwang Zhang, Leyang Zhang, Zhiwei Bai, Tao Luo, Zhi-Qin John Xu


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Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity


Nov 10, 2022
Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong


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Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods


Nov 03, 2022
Hamed Pezeshki, Fabio Valerio Massoli, Arash Behboodi, Taesang Yoo, Arumugam Kannan, Mahmoud Taherzadeh Boroujeni, Qiaoyu Li, Tao Luo, Joseph B. Soriaga


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Statistical Modeling of Soft Error Influence on Neural Networks


Oct 12, 2022
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li


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URGLQ: An Efficient Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming


Oct 09, 2022
Tao Luo, Peng Chen, Zhenxin Cao, Le Zheng, Zongxin Wang

* 11 pages, 16 figures 

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A Novel Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming


Oct 05, 2022
Tao Luo, Peng Chen, Zhenxin Cao, Le Zheng, Zongxin Wang

* 11 pages, 16 figures 

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Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach


Aug 17, 2022
Yining Wang, Mingzhe Chen, Tao Luo, Walid Saad, Dusit Niyato, H. Vincent Poor, Shuguang Cui


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A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding


Jun 06, 2022
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo


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Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks


May 26, 2022
Zhiwei Bai, Tao Luo, Zhi-Qin John Xu, Yaoyu Zhang


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An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation


May 25, 2022
Shuyu Yin, Tao Luo, Peilin Liu, Zhi-Qin John Xu


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