| 2025 | AAAI | FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update. | Ziru Niu, Hai Dong, A. K. Qin |
| 2025 | CEC | Multi-Task Optimisation-Based Yaw Control For Wind Farm Power Generation. | NagaSree Keerthi Pujari, A. K. Qin, Kishalay Mitra |
| 2025 | CIKM | PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations. | Yantong Du, Rui Chen, Xiangyu Zhao, Qilong Han, A. K. Qin |
| 2024 | IJCNN | SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix. | Mrinmay Sen, A. K. Qin, Gayathri C, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman |
| 2023 | ICDE | A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract). | David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, A. K. Qin |
| 2023 | IJCNN | Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. | Bo Wang, A. K. Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska |
| 2022 | IJCNN | A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks. | Binyan Hu, Yu Sun, A. K. Qin |
| 2022 | IJCNN | Multi-task Optimization Based Co-training for Electricity Consumption Prediction. | Hui Song, A. K. Qin, Chenggang Yan |
| 2021 | CEC | A Survey of Advances in Evolutionary Neural Architecture Search. | Xun Zhou, A. K. Qin, Yanan Sun, Kay Chen Tan |
| 2021 | CVPR | Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. | Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang |
| 2021 | ICCV | AdvDrop: Adversarial Attack to DNNs by Dropping Information. | Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. K. Qin, Yuan He |
| 2021 | IJCNN | Learning to Optimise Routing Problems using Policy Optimisation. | Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin |
| 2020 | CVPR | Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. | Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang |
| 2020 | IJCNN | Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. | Prabath Abeysekara, Hai Dong, A. K. Qin |
| 2020 | IJCNN | PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. | Ziqiang Li, Hong Pan, Yaping Zhu, A. K. Qin |
| 2020 | IJCNN | A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. | Boyu Zhang, A. K. Qin, Hong Pan, Timos Sellis |
| 2019 | CEC | A Study on Knowledge Reuse Strategies in Multitasking Differential Evolution. | Chen Jin, Pei-Wei Tsai, A. K. Qin |
| 2019 | CEC | Multitasking Multi-Swarm Optimization. | Hui Song, A. K. Qin, Pei-Wei Tsai, Jing J. Liang |
| 2019 | CEC | Differential Evolutionary Multi-task Optimization. | Xiaolong Zheng, Yu Lei, A. K. Qin, Deyun Zhou, Jiao Shi, Maoguo Gong |
| 2019 | ICWS | Machine Learning-Driven Trust Prediction for MEC-Based IoT Services. | Prabath Abeysekara, Hai Dong, A. K. Qin |
| 2019 | PERCOM | Improving Experience Sampling with Multi-view User-driven Annotation Prediction. | Jonathan Liono, Flora D. Salim, Niels van Berkel, Vassilis Kostakos, A. K. Qin |
| 2018 | GECCO | Evolutionary feature subspaces generation for ensemble classification. | Boyu Zhang, A. K. Qin, Timos Sellis |
| 2018 | IJCNN | Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction. | Hui Song, A. K. Qin, Flora D. Salim |
| 2018 | Mobiquitous | Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life. | Jonathan Liono, Zahraa S. Abdallah, A. K. Qin, Flora D. Salim |
| 2017 | CEC | A GPU-based implementation of brain storm optimization. | Chen Jin, A. K. Qin |
| 2017 | ICONIP | Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction. | Hui Song, A. K. Qin, Flora D. Salim |
| 2017 | ICONIP | An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation. | Boyu Zhang, A. K. Qin, Jeffrey Chan |
| 2016 | GECCO | A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in Graphs. | Angus Kenny, Xiaodong Li, A. K. Qin, Andreas T. Ernst |
| 2016 | ICDE | Private spatial data aggregation in the local setting. | Rui Chen, Haoran Li, A. K. Qin, Shiva Prasad Kasiviswanathan, Hongxia Jin |
| 2016 | ICIP | A genetics-motivated unsupervised model for tri-subject kinship verification. | Junkang Zhang, Si-Yu Xia, Hong Pan, A. K. Qin |
| 2016 | IJCNN | Node label matching improves classification performance in Deep Belief Networks. | Allan Campbell, Vic Ciesielski, A. K. Qin |
| 2016 | ICPR | Robust road detection from a single image. | Junkang Zhang, Si-Yu Xia, Kaiyue Lu, Hong Pan, A. K. Qin |
| 2016 | IJCNN | Semi-supervised auto-encoder based on manifold learning. | Yawei Li, Lizuo Jin, A. K. Qin, Changyin Sun, Yew-Soon Ong, Tong Cui |
| 2016 | IJCNN | Multivariate electricity consumption prediction with Extreme Learning Machine. | Hui Song, A. K. Qin, Flora D. Salim |
| 2016 | Mobiquitous | Optimal time window for temporal segmentation of sensor streams in multi-activity recognition. | Jonathan Liono, A. K. Qin, Flora D. Salim |
| 2015 | CEC | Local ensemble surrogate assisted crowding differential evolution. | Chen Jin, A. K. Qin, Ke Tang |
| 2015 | CEC | A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms. | Borhan Kazimipour, Mohammad Nabi Omidvar, Xiaodong Li, A. K. Qin |
| 2015 | CEC | QoS-aware long-term based service composition in cloud computing. | Shengcai Liu, Yufan Wei, Ke Tang, A. K. Qin, Xin Yao |
| 2015 | ICSOC | Optimizing Long-term IaaS Service Composition. | Sajib Mistry, Athman Bouguettaya, Hai Dong, A. K. Qin |
| 2015 | ICWS | Predicting Dynamic Requests Behavior in Long-Term IaaS Service Composition. | Sajib Mistry, Athman Bouguettaya, Hai Dong, A. K. Qin |
| 2015 | IVCNZ | Road detection via unsupervised feature learning. | Siyu Xia, Junkang Zhang, Kaiyue Lu, A. K. Qin |
| 2014 | CEC | Effects of population initialization on differential evolution for large scale optimization. | Borhan Kazimipour, Xiaodong Li, A. K. Qin |
| 2014 | CEC | A review of population initialization techniques for evolutionary algorithms. | Borhan Kazimipour, Xiaodong Li, A. K. Qin |
| 2014 | CEC | A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization. | Borhan Kazimipour, Mohammad Nabi Omidvar, Xiaodong Li, A. K. Qin |
| 2014 | CEC | Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization. | A. K. Qin, Ke Tang, Hong Pan, Si-Yu Xia |
| 2014 | CEC | An archive based particle swarm optimisation for feature selection in classification. | Bing Xue, A. K. Qin, Mengjie Zhang |
| 2014 | ICPR | Face Clustering in Photo Album. | Si-Yu Xia, Hong Pan, A. K. Qin |
| 2014 | IJCNN | Finding convex hull vertices in metric space. | Jinhong Zhong, Ke Tang, A. K. Qin |
| 2013 | CEC | Initialization methods for large scale global optimization. | Borhan Kazimipour, Xiaodong Li, A. K. Qin |
| 2013 | CEC | Differential evolution on the CEC-2013 single-objective continuous optimization testbed. | A. K. Qin, Xiaodong Li |
| 2013 | CEC | Investigation of self-adaptive differential evolution on the CEC-2013 real-parameter single-objective optimization testbed. | A. K. Qin, Xiaodong Li, Hong Pan, Siyu Xia |
| 2013 | CEC | Sensor-based activity recognition with improved GP-based classifier. | Feng Xie, A. K. Qin, Andy Song, Victor Ciesielski |
| 2013 | ICIP | Mining heterogeneous class-specific codebook for categorical object detection and classification. | Hong Pan, Yaping Zhu, A. K. Qin, Liangzheng Xia |
| 2012 | GECCO | An improved CUDA-based implementation of differential evolution on GPU. | A. K. Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong |
| 2011 | GECCO | Harmony search with differential mutation based pitch adjustment. | A. K. Qin, Florence Forbes |
| 2011 | GECCO | Dynamic regional harmony search with opposition and local learning. | A. K. Qin, Florence Forbes |
| 2007 | CEC | Multi-objective optimization based on self-adaptive differential evolution algorithm. | Vicky Ling Huang, A. K. Qin, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren |
| 2006 | CEC | Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization. | Vicky Ling Huang, A. K. Qin, Ponnuthurai N. Suganthan |
| 2006 | ICARCV | Personal Identification System based on Multiple Palmprint Features. | A. K. Qin, Ponnuthurai N. Suganthan, C. H. Tay, H. S. Pa |
| 2006 | ICPR | Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. | A. K. Qin, Ponnuthurai N. Suganthan, Marco Loog |
| 2005 | AAAI | Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data. | A. K. Qin, S. Y. M. Shi, Ponnuthurai N. Suganthan, Marco Loog |
| 2005 | CEC | Self-adaptive differential evolution algorithm for numerical optimization. | A. K. Qin, Ponnuthurai N. Suganthan |
| 2004 | ICPR | Kernel Neural Gas Algorithms with Application to Cluster Analysis. | A. K. Qin, Ponnuthurai N. Suganthan |
| 2004 | ICPR | A Novel Kernel Prototype-Based Learning Algorithm. | A. K. Qin, Ponnuthurai N. Suganthan |
| 2004 | SMC | Particle swarm optimization algorithms with novel learning strategies. | Jing J. Liang, A. K. Qin, Ponnuthurai N. Suganthan, S. Baskar |
| 2004 | SMC | A new generalized LVQ algorithm via harmonic to minimum distance measure transition. | A. K. Qin, Ponnuthurai N. Suganthan, Jing J. Liang |