Fangqing Liu

According to our database, Fangqing Liu authored at least 18 papers between 2016 and 2022.

Collaborative distances:

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

2022

Manifold-Inspired Search-Based Algorithm for Automated Test Case Generation.

Fangqing Liu, Han Huang, Junpeng Su, Stuart D. Semujju, Zhongming Yang, Zhifeng Hao

IEEE Trans. Emerg. Top. Comput., 2022

Computationally Efficient Maximum Likelihood Channel Estimation for Coarsely Quantized Massive MIMO Systems.

Fangqing Liu, Xiaolei Shang, Yuanbo Cheng, Guoyang Zhang

IEEE Commun. Lett., 2022

2021

Efficient Majorization-Minimization-Based Channel Estimation for One-Bit Massive MIMO Systems.

Fangqing Liu, Xiaolei Shang, Heng Zhu

IEEE Trans. Wirel. Commun., 2021

Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit.

Fangqing Liu, Han Huang, Zhongming Yang, Zhifeng Hao, Jiangping Wang

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Android Unit Test Case Generation Based on the Strategy of Multi-Dimensional Coverage.

Jie Cao, Han Huang, Fangqing Liu

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

Harmonic Retrieval from Coarsely Quantized Measurements.

Guoyang Zhang, Yuanbo Cheng, Fangqing Liu, Xiaolei Shang

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Angular-Domain Channel Estimation for One-Bit Massive MIMO Systems: Performance Bounds and Algorithms.

Fangqing Liu, Heng Zhu, Changheng Li, Jian Li, Pu Wang, Philip V. Orlik

IEEE Trans. Veh. Technol., 2020

A Variational Approach for Learning from Positive and Unlabeled Data.

Hui Chen, Fangqing Liu, Yin Wang, Liyue Zhao, Hao Wu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Computationally Efficient Sinusoidal Parameter Estimation From Signed Measurements: ADMM Approaches.

Heng Zhu, Fangqing Liu, Jian Li

IEEE Signal Process. Lett., 2019

Discriminative adversarial networks for positive-unlabeled learning.

Fangqing Liu, Hui Chen, Liyue Zhao, Hao Wu

CoRR, 2019

Angle and Waveform Estimation from Coarsely Quantized Array Data.

Heng Zhu, Fangqing Liu, Jian Li

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018

Automated Test Case Generation Based on Differential Evolution With Relationship Matrix for iFogSim Toolkit.

Han Huang, Fangqing Liu, Zhongming Yang, Zhifeng Hao

IEEE Trans. Ind. Informatics, 2018

3D Copper Foam-Supported CuCo₂O₄ Nanosheet Arrays as Electrode for Enhanced Non-Enzymatic Glucose Sensing.

Fangqing Liu, Yi Zhuang, Mingliang Guo, Yongjun Chen, Jinchun Tu, Lei Ding

Sensors, 2018

Massive MIMO Channel Estimation Using Signed Measurements with Antenna-Varying Thresholds.

Fangqing Liu, Heng Zhu, Jian Li, Pu Wang, Philip V. Orlik

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation.

Han Huang, Fangqing Liu, Xiaoyan Zhuo, Zhifeng Hao

IEEE Comput. Intell. Mag., 2017

Automated test data generation based on particle swarm optimisation with convergence speed controller.

Fangqing Liu, Han Huang, Xueqiang Li, Zhifeng Hao

CAAI Trans. Intell. Technol., 2017

Evolutionary algorithm with convergence speed controller for automated software test data generation problem.

Fangqing Liu, Han Huang, Zhifeng Hao

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Evolutionary Process: Parallelism Analysis of Differential Evolution Algorithm Based on Graph Theory.

Xiaoqi Peng, Zhifeng Hao, Han Huang, Hongyue Wu, Fangqing Liu

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016