A brief fuzzy controller for an intelligent tracking system. - Shaocheng Qu; Xiaobang Liu; Qinqin Wang; Zhiqiu Lei; Yuewei Che (Int. J. Model. Identif. Control., 2013)

Multi-user Searchable Encryption with Coarser-Grained Access Control without Key Sharing. - Qinqin Wang; Yanqin Zhu; Xizhao Luo (CCBD, 2014)

Coordinative allocation model and method of equipment maintenance materiel. - Tiening Wang; Shuangshuang Yu; Ning Li; Shengliang Xu; Chao Yun; Qinqin Wang (ICACI, 2016)

A theoretical study on object-oriented and property-oriented multi-scale formal concept analysis. - Yanhong She; Xiaoli He; Ting Qian; Qinqin Wang; Wanglin Zeng (Int. J. Mach. Learn. Cybern., 2019)

FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. - Khalil Muhammad; Qinqin Wang; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Barry Smyth; Neil Hurley; James Geraci; Aonghus Lawlor (KDD, 2020)

A Decoupled Unified Observation Method of Stochastic Multidimensional Vibration for Wind Tunnel Models. - Mengde Zhou; Wei Liu 037; Qinqin Wang; Bing Liang; Linlin Tang; Yang Zhang 011; Xiaochun Cui (Sensors, 2020)

Explainable APT Attribution for Malware Using NLP Techniques. - Qinqin Wang; Hanbing Yan; Zhihui Han (QRS, 2021)

Assessment of calibration methods for nitrogen estimation in wet and dry soil samples with different wavelength ranges using near-infrared spectroscopy. - Qinqin Wang; Hao Zhang; Fadong Li; Congke Gu; Yunfeng Qiao; Siyuan Huang (Comput. Electron. Agric., 2021)

Considerations on Evaluation of Practical Cloud Data Protection. - Rui Mei; Han-Bing Yan; Yongqiang He; Qinqin Wang; Shengqiang Zhu; Weiping Wen (CNCERT, 2022)

MARF: User-Item Mutual Aware Representation with Feedback. - Qinqin Wang; Khalil Muhammad; Diarmuid O'Reilly-Morgan; Barry Smyth; Elias Z. Tragos; Aonghus Lawlor; Neil Hurley; Ruihai Dong (ICWE, 2022)

APT Attribution for Malware Based on Time Series Shapelets. - Qinqin Wang; Hanbing Yan; Chang Zhao; Rui Mei; Zhihui Han; Yu Zhou (TrustCom, 2022)

Measurement of Malware Family Classification on a Large-Scale Real-World Dataset. - Qinqin Wang; Hanbing Yan; Chang Zhao; Rui Mei; Zhihui Han; Yu Zhou (TrustCom, 2022)

Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation. - Qinqin Wang; Elias Z. Tragos; Neil Hurley; Barry Smyth; Aonghus Lawlor; Ruihai Dong (UMAP, 2022)

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems. - Qinqin Wang; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Neil Hurley; Barry Smyth; Aonghus Lawlor; Ruihai Dong (IEEE Access, 2022)

A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. - Diarmuid O'Reilly-Morgan; Elias Z. Tragos; James Geraci; Qinqin Wang; Neil Hurley; Barry Smyth; Aonghus Lawlor (EuroMLSys@EuroSys, 2024)

A novel memetic algorithm for distributed shape formation of swarm robots with both acceleration and velocity constraints. - Yun Qu 002; Bin Xin 002; Qinqin Wang; Ruocheng Li; Zhaofeng Du (Sci. China Inf. Sci., 2024)

A Distributed Pipeline for Collaborative Pursuit in the Target Guarding Problem. - Yansong Chen; Yuchen Wu; Helei Yang; Junjie Cao; Qinqin Wang; Yong Liu 007 (IEEE Robotics Autom. Lett., 2024)

Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey. - Siteng Ma; Honghui Du; Yu An; Jing Wang; Qinqin Wang; Haochang Wu; Aonghus Lawlor; Ruihai Dong (CoRR, 2025)