Evolutionary Process: Parallelism Analysis of Differential Evolution Algorithm Based on Graph Theory. - Xiaoqi Peng; Zhifeng Hao; Han Huang 002; Hongyue Wu; Fangqing Liu (BIC-TA (2), 2016)

Evolutionary algorithm with convergence speed controller for automated software test data generation problem. - Fangqing Liu; Han Huang 002; Zhifeng Hao (CEC, 2017)

Automated test data generation based on particle swarm optimisation with convergence speed controller. - Fangqing Liu; Han Huang 002; Xueqiang Li 001; Zhifeng Hao (CAAI Trans. Intell. Technol., 2017)

Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation. - Han Huang 002; Fangqing Liu; Xiaoyan Zhuo; Zhifeng Hao (IEEE Comput. Intell. Mag., 2017)

Massive MIMO Channel Estimation Using Signed Measurements with Antenna-Varying Thresholds. - Fangqing Liu; Heng Zhu; Jian Li 001; Pu Wang 004; Philip V. Orlik (SSP, 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 011 (Sensors, 2018)

Automated Test Case Generation Based on Differential Evolution With Relationship Matrix for iFogSim Toolkit. - Han Huang 002; Fangqing Liu; Zhongming Yang; Zhifeng Hao (IEEE Trans. Ind. Informatics, 2018)

Angle and Waveform Estimation from Coarsely Quantized Array Data. - Heng Zhu; Fangqing Liu; Jian Li 001 (VTC Fall, 2019)

Discriminative adversarial networks for positive-unlabeled learning. - Fangqing Liu; Hui Chen; Liyue Zhao; Hao Wu (CoRR, 2019)

Computationally Efficient Sinusoidal Parameter Estimation From Signed Measurements: ADMM Approaches. - Heng Zhu; Fangqing Liu; Jian Li 001 (IEEE Signal Process. Lett., 2019)

A Variational Approach for Learning from Positive and Unlabeled Data. - Hui Chen; Fangqing Liu; Yin Wang; Liyue Zhao; Hao Wu (NeurIPS, 2020)

Angular-Domain Channel Estimation for One-Bit Massive MIMO Systems: Performance Bounds and Algorithms. - Fangqing Liu; Heng Zhu; Changheng Li; Jian Li 001; Pu Wang 004; Philip V. Orlik (IEEE Trans. Veh. Technol., 2020)

Harmonic Retrieval from Coarsely Quantized Measurements. - Guoyang Zhang; Yuanbo Cheng; Fangqing Liu; Xiaolei Shang (ACSCC, 2021)

Android Unit Test Case Generation Based on the Strategy of Multi-Dimensional Coverage. - Jie Cao; Han Huang 002; Fangqing Liu (CCIS, 2021)

Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit. - Fangqing Liu; Han Huang 002; Zhongming Yang; Zhifeng Hao; Jiangping Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Efficient Majorization-Minimization-Based Channel Estimation for One-Bit Massive MIMO Systems. - Fangqing Liu; Xiaolei Shang; Heng Zhu (IEEE Trans. Wirel. Commun., 2021)

Computationally Efficient Maximum Likelihood Channel Estimation for Coarsely Quantized Massive MIMO Systems. - Fangqing Liu; Xiaolei Shang; Yuanbo Cheng; Guoyang Zhang (IEEE Commun. Lett., 2022)

Manifold-Inspired Search-Based Algorithm for Automated Test Case Generation. - Fangqing Liu; Han Huang 002; Junpeng Su; Stuart D. Semujju; Zhongming Yang; Zhifeng Hao (IEEE Trans. Emerg. Top. Comput., 2022)

Search-Based Software Test Data Generation for Path Coverage Based on a Feedback-Directed Mechanism. - Stuart Dereck Semujju; Han Huang 002; Fangqing Liu; Yi Xiang; Zhifeng Hao (Complex Syst. Model. Simul., 2023)

Enhancing Fault Detection in Smart Contract Loops Through Adaptive Probabilistic Sampling. - Stuart D. Semujju; Fangqing Liu; Han Huang 002; Yi Xiang (GECCO Companion, 2024)

Micro-scale Concolic Testing Framework for Automated Test Data Generation Based on Path Coverage. - Fangqing Liu; Han Huang 002; Yi Xiang (ICSE Companion, 2024)

Multi-task collaborative method based on manifold optimization for automated test case generation based on path coverage. - Jie Cao; Han Huang 002; Fangqing Liu; Qiuhong Zhang; Zhifeng Hao (Expert Syst. Appl., 2024)

A Self-Adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids. - Haoxiang Qin; Wenlei Bai; Yi Xiang; Fangqing Liu; Yuyan Han; Ling Wang 001 (IEEE Trans. Evol. Comput., 2024)

Enhancing Quality-Diversity algorithm by reinforcement learning for Flexible Job Shop Scheduling with transportation constraints. - Haoxiang Qin; Yi Xiang; Fangqing Liu; Yuyan Han; Yuting Wang 003 (Swarm Evol. Comput., 2025)

Regionalized Metric Framework: A Novel Approach for Evaluating Multimodal Multi-Objective Optimization Algorithms. - Jintai Chen; Fangqing Liu; Xueming Yan; Han Huang (CoRR, 2025)