Convergence analysis of multigrid methods with residual scaling techniques. - Qunfeng Liu; Jinping Zeng (J. Comput. Appl. Math., 2010)

Sufficient descent nonlinear conjugate gradient methods with conjugacy condition. - Wanyou Cheng; Qunfeng Liu (Numer. Algorithms, 2010)

Two minimal positive bases based direct search conjugate gradient methods for computationally expensive functions. - Qunfeng Liu (Numer. Algorithms, 2011)

Linear scaling and the DIRECT algorithm. - Qunfeng Liu (J. Glob. Optim., 2013)

A modified DIRECT algorithm with bilevel partition. - Qunfeng Liu; Wanyou Cheng (J. Glob. Optim., 2014)

An accurate active set conjugate gradient algorithm with project search for bound constrained optimization. - Wanyou Cheng; Qunfeng Liu; Donghui Li (Optim. Lett., 2014)

Order-2 Stability Analysis of Particle Swarm Optimization. - Qunfeng Liu (Evol. Comput., 2015)

Global optimization by multilevel partition. - Qunfeng Liu; Jinping Zeng (J. Glob. Optim., 2015)

MrDIRECT: a multilevel robust DIRECT algorithm for global optimization problems. - Qunfeng Liu; Jinping Zeng; Gang Yang (J. Glob. Optim., 2015)

Topology selection for particle swarm optimization. - Qunfeng Liu; Wenhong Wei; Huaqiang Yuan; Zhi-hui Zhan; Yun Li 002 (Inf. Sci., 2016)

Benchmarking and Evaluating MATLAB Derivative-Free Optimisers for Single-Objective Applications. - Lin Li 048; Yi Chen 020; Qunfeng Liu; Jasmina Lazic; Wuqiao Luo; Yun Li 002 (ICIC (2), 2017)

A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals. - Yingying Cao; Wei Chen 144; Shi Cheng; Yifei Sun 004; Qunfeng Liu; Yun Li 002; Yuhui Shi 001 (SEAL, 2017)

Improving Brain Storm Optimization Algorithm via Simplex Search. - Wei Chen 144; Yingying Cao; Yifei Sun 004; Qunfeng Liu; Yun Li 002 (CoRR, 2017)

Improving the convergence rate of the DIRECT global optimization algorithm. - Qunfeng Liu; Guang Yang; Zhongzhi Zhang; Jinping Zeng (J. Glob. Optim., 2017)

Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals. - Qunfeng Liu; Wei-Neng Chen; Jeremiah D. Deng; Tianlong Gu; Huaxiang Zhang 001; Zhengtao Yu 001; Jun Zhang 003 (IEEE Trans. Cybern., 2017)

Two Possible Paradoxes in Numerical Comparisons of Optimization Algorithms. - Qunfeng Liu; Wei Chen 144; Yingying Cao; Yun Li 002; Ling Wang 001 (ICIC (2), 2018)

Simplex Search-Based Brain Storm Optimization. - Wei Chen 144; Yingying Cao; Shi Cheng; Yifei Sun 004; Qunfeng Liu; Yun Li 002 (IEEE Access, 2018)

A Filter of Minhash for Image Similarity Measures. - Jun Long; Qunfeng Liu; Xinpan Yuan; Chengyuan Zhang 001; Junfeng Liu (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Benchmarks for Evaluating Optimization Algorithms and Benchmarking MATLAB Derivative-Free Optimizers for Practitioners' Rapid Access. - Lin Li 048; Alfredo Alan Flores Saldivar; Yun Bai 002; Yi Chen 020; Qunfeng Liu; Yun Li 002 (IEEE Access, 2019)

A Recommendation Model Based on Multi-Emotion Similarity in the Social Networks. - Jun Long; Yulou Wang; Xinpan Yuan; Ting Li; Qunfeng Liu (Inf., 2019)

Deep Image Similarity Measurement Based on the Improved Triplet Network with Spatial Pyramid Pooling. - Xinpan Yuan; Qunfeng Liu; Jun Long; Lei Hu; Yulou Wang (Inf., 2019)

Multi-PQTable for Approximate Nearest-Neighbor Search. - Xinpan Yuan; Qunfeng Liu; Jun Long; Lei Hu; Songlin Wang (Inf., 2019)

Paradoxes in Numerical Comparison of Optimization Algorithms. - Qunfeng Liu; William V. Gehrlein; Ling Wang 001; Yuan Yan; Yingying Cao; Wei Chen 144; Yun Li 002 (IEEE Trans. Evol. Comput., 2020)

Evolutionary Algorithms for Applications of Biological Networks: A Review. - Gufeng Liu; Qunfeng Liu; Lijia Ma; Zengyang Shao (ICIC (1), 2021)

An NSABC algorithm for multi-aisle AS/RS scheduling optimization. - Xiaohui Yan; Zhicong Zhang; Qunfeng Liu; Cixing Lv; Liangwei Zhang; Shuai Li (Comput. Ind. Eng., 2021)

Bilevel-search particle swarm optimization for computationally expensive optimization problems. - Yuan Yan; Qin Zhou; Shi Cheng; Qunfeng Liu; Yun Li 002 (Soft Comput., 2021)

A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion. - Qunfeng Liu; Xunfeng Wu; Qiuzhen Lin; Junkai Ji; Ka-Chun Wong (Swarm Evol. Comput., 2021)

Quantum-Behaved Simple Brain Storm Optimization with Simplex Search. - Xi Wang; Wei Chen 144; Qunfeng Liu; Yingying Cao; Shi Cheng; Yanmin Yang (ICSI (1), 2022)

A General Framework for Intelligent Optimization Algorithms Based on Multilevel Evolutions. - Chenchen Wang; Caifeng Chen; Ziru Lun; Zhanyu Ye; Qunfeng Liu (ICSI (1), 2022)

Genetic Programming for Ensemble Learning in Face Recognition. - Tian Zhang; Lianbo Ma; Qunfeng Liu; Nan Li; Yang Liu (ICSI (2), 2022)

An adaptive differential evolution with extended historical memory and iterative local search. - Caifeng Chen; Yuan Yan; Qunfeng Liu (Appl. Soft Comput., 2022)

A semantic hierarchical graph neural network for text classification. - Shuai Hua; Xinxin Li; Yunpeng Jing; Qunfeng Liu (CoRR, 2022)

Performance-Based Seismic Design of Hybrid Isolation Systems with Gap-Tunable BRBs for Bearing-Supported Bridges. - Qunfeng Liu; Zhaoyang Guo; Shimin Zhu; Chang Wang; Xiang Ren; Xing Wu (Symmetry, 2022)

Energy Dissipation Enhanced by Multiple Hinges in Bridge Piers with CFST Y-Shaped Fuses. - Qunfeng Liu; Zhaoyang Guo; Xing Wu; Kaile Lu; Xiang Ren; Jialong Xiao (Symmetry, 2022)

Cluster-based Discovering of Disease Risk Factors: A COVID-19 Case Study. - Peixin Zheng; Qunfeng Liu; Yunchao Zhi (ISAIMS, 2023)

A Bilevel Genetic Algorithm for Global Optimization Problems. - Ziru Lun; Zhanyu Ye; Qunfeng Liu (ICSI (1), 2023)

A Modified Gaining-Sharing Knowledge Algorithm Based on Dual-Population and Multi-operators for Unconstrained Optimization. - Haoran Ma; Jiahao Zhang; Wenhong Wei; Wanyou Cheng; Qunfeng Liu (ICSI (1), 2023)

A PCA-Based Approach for Very Early-Age Hydration Monitoring of Self-Compacting Concrete Using Embedded PZT Sensors. - Qunfeng Liu; Yifan Mu; Xiaoting Li 004; Xing Wu; Xiang Ren (Sensors, 2023)

A partition-based convergence framework for population-based optimization algorithms. - Xinxin Li; Shuai Hua; Qunfeng Liu; Yun Li 002 (Inf. Sci., 2023)

Paradox-Free Analysis for Comparing the Performance of Optimization Algorithms. - Yuan Yan; Qunfeng Liu; Yun Li 002 (IEEE Trans. Evol. Comput., 2023)

Two Criteria for Performance Analysis of Optimization Algorithms. - Yunpeng Jing; HaiLin Liu; Qunfeng Liu (CoRR, 2024)

On the representativeness metric of benchmark problems in numerical optimization. - Caifeng Chen; Qunfeng Liu; Yunpeng Jing; Mingming Zhang; Shi Cheng; Yun Li 002 (Swarm Evol. Comput., 2024)

Mean-based Borda count for paradox-free comparisons of optimization algorithms. - Qunfeng Liu; Yunpeng Jing; Yuan Yan; Yun Li 002 (Inf. Sci., 2024)

A correction algorithm for determining the motor pivot point coordinates of UVW platforms based on a kinematic motion model. - Yunchao Zhi; Qunfeng Liu; Mingming Zhang; Jiarui Zhang (Comput. Appl. Math., 2025)