Licheng Zhao

According to our database, Licheng Zhao authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks.

Licheng Zhao, Yi Zuo, Katsutoshi Yada

Adv. Data Anal. Classif., September, 2023

Mixed Max-and-Min Fractional Programming for Wireless Networks.

Yannan Chen, Licheng Zhao, Kaiming Shen

CoRR, 2023

Max-and-Min Fractional Programming for Communications and Sensing.

Yannan Chen, Licheng Zhao, Kaiming Shen

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Inverse Quadratic Transform for Minimizing A Sum of Ratios.

Yannan Chen, Licheng Zhao, Yaowen Zhang, Kaiming Shen

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

An Efficient Method for Estimating Wheat Heading Dates Using UAV Images.

Licheng Zhao, Wei Guo, Jian Wang, Haozhou Wang, Yulin Duan, Cong Wang, Wenbin Wu, Yun Shi

Remote. Sens., 2021

Application of Long Short-term Memory Based Neural Network for Classification of Customer Behavior.

Licheng Zhao, Yi Zuo, Katsutoshi Yada, Meijun Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Customer Behavior Analysis and Classification Based on Process Mining.

Meijun Liu, Licheng Zhao, Fengmei Sun, Weizheng Zhao, Yi Zuo, Katsutoshi Yada

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Application of LSTM Models to Predict In-store Trajectory of Customers.

Weizheng Zhao, Yi Zuo, Licheng Zhao, Junhao Jiang

Proceedings of the 2021 International Conference on Data Mining, 2021

Application of Fractal Analysis for Customer Classification Based on Path Data.

Fengmei Sun, Licheng Zhao, Yi Zuo, Yuta Kaneko

Proceedings of the 2021 International Conference on Data Mining, 2021

2019

Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM.

Licheng Zhao, Yiwei Wang, Sandeep Kumar, Daniel P. Palomar

IEEE Trans. Signal Process., 2019

Optimization of MIMO Device-to-Device Networks via Matrix Fractional Programming: A Minorization-Maximization Approach.

Kaiming Shen, Wei Yu, Licheng Zhao, Daniel P. Palomar

IEEE/ACM Trans. Netw., 2019

Finer Classification of Crops by Fusing UAV Images and Sentinel-2A Data.

Licheng Zhao, Yun Shi, Bin Liu, Ciara Hovis, Yulin Duan, Zhongchao Shi

Remote. Sens., 2019

2018

A Markowitz Portfolio Approach to Options Trading.

Licheng Zhao, Daniel P. Palomar

IEEE Trans. Signal Process., 2018

Coordinated Scheduling and Spectrum Sharing via Matrix Fractional Programming.

Kaiming Shen, Wei Yu, Licheng Zhao, Daniel P. Palomar

CoRR, 2018

Energy Efficient Beamforming in Heterogeneous Small Cell Networks.

Zeli Lao, Zhaohua Lu, Jiaheng Wang, Yongming Huang, Leixin Han, Fusheng Zhu, Licheng Zhao

Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

2017

A Unified Framework for Low Autocorrelation Sequence Design via Majorization-Minimization.

Licheng Zhao, Junxiao Song, Prabhu Babu, Daniel P. Palomar

IEEE Trans. Signal Process., 2017

Maximin Joint Optimization of Transmitting Code and Receiving Filter in Radar and Communications.

Licheng Zhao, Daniel P. Palomar

IEEE Trans. Signal Process., 2017

2016

Efficient Algorithms on Robust Low-Rank Matrix Completion Against Outliers.

Licheng Zhao, Prabhu Babu, Daniel P. Palomar

IEEE Trans. Signal Process., 2016

2015

Robust low-rank optimization for large scale problems.

Licheng Zhao, Prabhu Babu, Daniel Pérez Palomar

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015