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Zhengdao Wang
Iowa State University
133Publications
25H-index
4,645Citations
Publications 136
Newest
#1Binbin Gao (USTC: University of Science and Technology of China)
#2Huarui Yin (USTC: University of Science and Technology of China)H-Index: 10
Last.Zhengdao Wang (Iowa State University)H-Index: 25
view all 3 authors...
The connections between variable nodes and check nodes have a great influence on the performance of low-density parity-check (LDPC) codes. Inspired by the unique structure of polar code's generator matrix, we proposed a new method of constructing LDPC codes that achieves a polarization effect. The new code, named as polarized LDPC codes, is shown to achieve lower or no error floor in the binary symmetric channel (BSC)
#1Ala'eddin Masadeh (Iowa State University)H-Index: 1
#2Zhengdao Wang (Iowa State University)H-Index: 25
Last.Ahmed E. Kamal (Iowa State University)H-Index: 28
view all 3 authors...
This work presents two reinforcement learning (RL) architectures, which mimic rational humans in the way of analyzing the available information and making decisions. The proposed algorithms are called selector-actor-critic (SAC) and tuner-actor-critic (TAC). They are obtained by modifying the well known actor-critic (AC) algorithm. SAC is equipped with an actor, a critic, and a selector. The role of the selector is to determine the most promising action at the current state based on the last est...
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#2Huarui Yin (USTC: University of Science and Technology of China)H-Index: 10
Last.Zhengdao WangH-Index: 25
view all 3 authors...
The connections between variable nodes and check nodes have a great influence on the performance of low-density parity-check (LDPC) codes. Inspired by the unique structure of polar code's generator matrix, we proposed a new method of constructing LDPC codes that achieves a polarization effect. The new code, named as polarized LDPC codes, is shown to achieve lower or no error floor in the binary symmetric channel (BSC).
Source
#1Qi Xiao (Iowa State University)
#2Zhengdao Wang (Iowa State University)H-Index: 25
Learning relevant features is important for interpreting data in a machine learning model. Comparing with selecting a relevant feature subset for the entire data, instancewise feature selection is more flexible for model interpretation. However current instancewise feature selection approaches are complex and suffer from high computational cost. We consider instancewise feature selection under supervised learning framework. We design a compact and interpretable neural network to approach the pro...
Source
Jul 1, 2019 in ICCCN (International Conference on Computer Communications and Networks)
#1Ala'eddin Masadeh (Iowa State University)H-Index: 1
#2Zhengdao Wang (Iowa State University)H-Index: 25
Last.Ahmed E. Kamal (Iowa State University)H-Index: 28
view all 3 authors...
Energy harvesting communications systems are able to provide high quality communications services using green energy sources. This paper presents an autonomous energy harvesting communications system that is able to adapt to any environment, and optimize its behavior with experience to maximize the valuable received data. The considered system is a point-to-point energy harvesting communications system consisting of a source and a destination, and working in an unknown and uncertain environment....
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Jun 9, 2019 in ICML (International Conference on Machine Learning)
#1Songtao Lu (UMN: University of Minnesota)H-Index: 8
#2Mingyi Hong (UMN: University of Minnesota)H-Index: 29
Last.Zhengdao Wang (Iowa State University)H-Index: 25
view all 3 authors...
2 Citations
May 1, 2019 in ICC (International Conference on Communications)
#1Hien Q. Ta (Iowa State University)H-Index: 1
#2Zhengdao Wang (Iowa State University)H-Index: 25
Last.Petar PopovskiH-Index: 42
view all 5 authors...
We study multi-base station (BS) preamble detection schemes for the narrow-band Internet of Things (NB-IoT) random access by using stochastic geometry analysis. Specifically, we compare the preamble detection performance of two baseline detection schemes: Quantize-and-Forward (QnF) and Detect-and-Forward (DnF). QnF requires the feedback of quantized received power levels while DnF requires 1-bit feedback of local detection result. Our results show that DnF scheme outperforms QnF scheme when the ...
Source
May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Pan Zhong (Iowa State University)H-Index: 1
#2Zhengdao Wang (Iowa State University)H-Index: 25
Convolutional neural networks have achieved great success in speech, image, and video signal processing tasks in recent years. There have been several attempts to justify the convolutional architecture and to generalize the convolution operation for treatment of other data types such as graphs and manifolds. Based on group representation theory and noncommutative harmonic analysis, it has recently been shown that the so-called group equivariance requirement of a feed-forward neural network neces...
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May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Songtao Lu (UMN: University of Minnesota)H-Index: 8
#2Mingyi Hong (UMN: University of Minnesota)H-Index: 29
Last.Zhengdao Wang (Iowa State University)H-Index: 25
view all 3 authors...
In this paper, we use the perturbed gradient based alternating minimization for solving a class of low-rank matrix factorization problems. Alternating minimization is a simple but popular approach which has been applied to problems in optimization, machine learning, data mining, and signal processing, etc. By leveraging the block structure of the problem, the algorithm updates two blocks of variables in an alternating manner. For the nonconvex optimization problem, it is well-known the alternati...
1 CitationsSource
#1Sharief Abdel-Razeq (UConn: University of Connecticut)H-Index: 1
#2Shengli Zhou (UConn: University of Connecticut)H-Index: 53
Last.Ming Zhao (USTC: University of Science and Technology of China)H-Index: 9
view all 4 authors...
Non-orthogonal multiple access has recently emerged as a promising multiple access technique for future wireless technology. In this study, the authors investigate superposition coding in a downlink cooperative cellular system based on the orthogonal frequency division multiplexing (OFDM) modulation in the presence of frequency selective multipath fading channels, a setup that has not been studied before. Specifically, the base station communicates with two paired mobile users simultaneously via...
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