Peekabot: Robot that Helps Children's Cognitive/Physical Development. - Qiqi Liu; Minchul Sa; Hyunkyu Lee; Mingu Lee; Seong Woo Kim; Juhyun Eune (CHI Extended Abstracts, 2017)

An artificial bee colony algorithm for multi-objective optimisation. - Jianping Luo; Qiqi Liu; Yun Yang; Xia Li 006; Min-Rong Chen; Wenming Cao 001 (Appl. Soft Comput., 2017)

A new hybrid memetic multi-objective optimization algorithm for multi-objective optimization. - Jianping Luo; Yun Yang; Qiqi Liu; Xia Li 006; Min-Rong Chen; Kaizhou Gao (Inf. Sci., 2018)

A decomposition-based multi-objective evolutionary algorithm with quality indicator. - Jianping Luo; Yun Yang; Xia Li 006; Qiqi Liu; Min-Rong Chen; Kaizhou Gao (Swarm Evol. Comput., 2018)

Adaptation of Reference Vectors for Evolutionary Many-objective Optimization of Problems with Irregular Pareto Fronts. - Qiqi Liu; Yaochu Jin; Martin Heiderich; Tobias Rodemann (CEC, 2019)

A Rotation Invariant HOG Descriptor for Tire Pattern Image Classification. - Ying Liu 026; Yuxiang Ge; Fuping Wang; Qiqi Liu; Yanbo Lei; Dengsheng Zhang; Guojun Lu (ICASSP, 2019)

A many-objective evolutionary algorithm with epsilon-indicator direction vector. - Yun Yang; Jianping Luo; Lei Huang 001; Qiqi Liu (Appl. Soft Comput., 2019)

基于空间对齐和轮廓匹配的颈动脉多对比MRI三维配准方法 (Multi-contrast Carotid MRI 3D Registration Method Based on Spatial Alignment and Contour Matching). - Xiaoyan Wang 007; Qiqi Liu; Xiaojie Huang; Weiwei Jiang 005; Ming Xia (计算机科学, 2019)

Tire Pattern Image Retrieval Algorithm Based on Optimized Efficientnet. - Ying Liu 026; Xin Che; Qiqi Liu; Daxiang Li 002; Yuliang Pang; Peng Xiao; Sheikh Faisal Rashid (AIPR, 2021)

Fast Evolutionary Neural Architecture Search Based on Bayesian Surrogate Model. - Rui Shi; Jianping Luo; Qiqi Liu (CEC, 2021)

Binary Vulnerability Mining Based on Long Short-Term Memory Network. - Wenlei Ouyang; Meng Li; Qiqi Liu; Jianchao Wang (WAC, 2021)

Tyre pattern image retrieval - current status and challenges. - Ying Liu 026; Qiqi Liu; JiuLun Fan 001; Fuping Wang; Jianlong Fu; Yuan Qingan; Tuan Kiang Chiew; Nam Ling (Connect. Sci., 2021)

A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts. - Yicun Hua; Qiqi Liu; Kuangrong Hao; Yaochu Jin (IEEE CAA J. Autom. Sinica, 2021)

A Privacy Protection Scheme for IoT Big Data Based on Time and Frequency Limitation. - Lei Zhang 115; Yu Huo; Qiang Ge; Yuxiang Ma; Qiqi Liu; Wenlei Ouyang (Wirel. Commun. Mob. Comput., 2021)

Research on Denoising of Multiple Compressed Image Based on Structure-Texture Decomposition. - Faguo Zhou; Qiqi Liu; Xin Wang (CCIS, 2022)

A kind of fast Gaussian particle filter based on Artificial Fish School Algorithm. - Zhaihe Zhou; Jingmin Ma; Qiqi Liu; Qingxi Zeng; Xiangrui Tian (J. Control. Decis., 2022)

Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems. - Qiqi Liu; Yaochu Jin; Martin Heiderich; Tobias Rodemann (Knowl. Based Syst., 2022)

An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems. - Qiqi Liu; Yaochu Jin; Martin Heiderich; Tobias Rodemann; Guo Yu 001 (IEEE Trans. Cybern., 2022)

A Survey on Knee-Oriented Multiobjective Evolutionary Optimization. - Guo Yu 001; Lianbo Ma; Yaochu Jin; Wenli Du; Qiqi Liu; Hengmin Zhang (IEEE Trans. Evol. Comput., 2022)

Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. - Qiqi Liu; Ran Cheng; Yaochu Jin; Martin Heiderich; Tobias Rodemann (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Binary Malware Detection via Heterogeneous Information Deep Ensemble Learning. - Runhan Song; Lun Li; Lei Cui 003; Qiqi Liu; Jin Gao (ICPADS, 2023)

Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions. - Felix Lanfermann; Qiqi Liu; Yaochu Jin; Sebastian Schmitt (CoRR, 2023)

A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization. - Shufen Qin; Chaoli Sun; Qiqi Liu; Yaochu Jin (IEEE Trans. Evol. Comput., 2023)

Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization. - Qiqi Liu; Yaochu Jin; Martin Heiderich; Tobias Rodemann (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. - Guo Yu 001; Yaochu Jin; Markus Olhofer; Qiqi Liu; Wenli Du (IEEE Trans. Cybern., 2023)

A Social Recommendation Model Based on Basic Spatial Mapping and Bilateral Generative Adversarial Networks. - Suqi Zhang; Ningjing Zhang; Wenfeng Wang; Qiqi Liu; Jianxin Li (Entropy, 2023)

Surrogate-Assisted Many-Objective Optimization of Building Energy Management. - Qiqi Liu; Felix Lanfermann; Tobias Rodemann; Markus Olhofer; Yaochu Jin (IEEE Comput. Intell. Mag., 2023)

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. - Mengmeng Chen; Xiaohu Wu; Xiaoli Tang 001; Tiantian He 001; Yew Soon Ong; Qiqi Liu; Qicheng Lao; Han Yu 001 (NeurIPS, 2024)

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. - Zhilong Li; Xiaohu Wu; Xiaoli Tang 001; Tiantian He 001; Yew-Soon Ong; Mengmeng Chen; Qiqi Liu; Qicheng Lao; Han Yu 001 (CoRR, 2024)

Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems. - Guodong Chen 002; Jiu Jimmy Jiao; Qiqi Liu; Zhongzheng Wang; Yaochu Jin (CoRR, 2024)

Federated Bayesian optimization via compressed sensing. - Qiqi Liu; Leming Wu; Yaochu Jin (Inf. Sci., 2024)

Privacy-preserving federated Bayesian optimization with learnable noise. - Qiqi Liu; Yuping Yan; Yaochu Jin (Inf. Sci., 2024)

A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm. - Qiqi Liu; Yuping Yan; Péter Ligeti; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. - Jianping Luo; YongFei Dong; Qiqi Liu; Zexuan Zhu; Wenming Cao 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Adaptive and Communication-Efficient Zeroth-Order Optimization for Distributed Internet of Things. - Qianlong Dang; Shuai Yang 003; Qiqi Liu; Junhu Ruan (IEEE Internet Things J., 2024)

An Elite-Guided Large-Scale Multi-Objective Evolutionary Algorithm Driven by Denoising Diffusion Probabilistic Models. - Tingting Dang; Wenxuan Fang; Jiaqiang Li; Qiqi Liu; Junhua Gu; Yaochu Jin (CEC, 2025)

Task Representation in Optimization: Utilizing Image Modalities for Effective Comparison. - Zijian Jiang; Qiqi Liu; Yaochu Jin; Jiaqiang Li (CEC, 2025)

Leveraging technological readiness and knowledge sources for green innovation: a resource orchestration perspective. - Muhammad Khayyam; Jiang Yushi; Qiqi Liu; Hisham Idrees; Shengze Qin; Alinur Nurlegul (Bus. Process. Manag. J., 2025)

A novel structure of less switching loss IGBT with super junction. - Bokang Huang; Quanyuan Feng; Qiqi Liu; Zhiyong Qiu (Microelectron. J., 2025)

Analysis of superjunction structure of fast switching loss IGBT with non-equivalent segmented anode NPN. - Zhiyong Qiu; Quanyuan Feng; Bokang Huang; Qiqi Liu (Microelectron. J., 2025)

Path planning strategy for a space relocatable robotic manipulator based on improved GBNN algorithm. - Yidao Ji; Cheng Zhou; Ruiyi Lin; Qiqi Liu (Robotics Auton. Syst., 2025)

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. - Mengmeng Chen; Xiaohu Wu; Qiqi Liu; Tiantian He 001; Yew-Soon Ong; Yaochu Jin; Qicheng Lao; Han Yu 001 (CoRR, 2025)