Evaluation of Comprehensive Learning Particle Swarm Optimizer. - Jing J. Liang; A. Kai Qin; Ponnuthurai N. Suganthan; S. Baskar 001 (ICONIP, 2004)

Kernel Neural Gas Algorithms with Application to Cluster Analysis. - A. K. Qin 001; Ponnuthurai N. Suganthan (ICPR (4), 2004)

A Novel Kernel Prototype-Based Learning Algorithm. - A. K. Qin 001; Ponnuthurai N. Suganthan (ICPR (4), 2004)

Particle swarm optimization algorithms with novel learning strategies. - Jing J. Liang; A. K. Qin 001; Ponnuthurai N. Suganthan; S. Baskar 001 (SMC (4), 2004)

A new generalized LVQ algorithm via harmonic to minimum distance measure transition. - A. K. Qin 001; Ponnuthurai N. Suganthan; Jing J. Liang (SMC (5), 2004)

Robust growing neural gas algorithm with application in cluster analysis. - A. K. Qin 001; Ponnuthurai N. Suganthan (Neural Networks, 2004)

Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data. - A. K. Qin 001; S. Y. M. Shi; Ponnuthurai N. Suganthan; Marco Loog (AAAI, 2005)

Self-adaptive differential evolution algorithm for numerical optimization. - A. K. Qin 001; Ponnuthurai N. Suganthan (Congress on Evolutionary Computation, 2005)

Initialization insensitive LVQ algorithm based on cost-function adaptation. - A. K. Qin 001; Ponnuthurai N. Suganthan (Pattern Recognit., 2005)

Enhanced neural gas network for prototype-based clustering. - A. K. Qin 001; Ponnuthurai N. Suganthan (Pattern Recognit., 2005)

Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion. - A. K. Qin 001; Ponnuthurai N. Suganthan; Marco Loog (Pattern Recognit., 2005)

Linear dimensionality reduction using relevance weighted LDA. - E. Ke Tang; Ponnuthurai N. Suganthan; Xin Yao 001; A. K. Qin 001 (Pattern Recognit., 2005)

Evolutionary extreme learning machine. - Qin-Yu Zhu; A. K. Qin 001; Ponnuthurai N. Suganthan; Guang-Bin Huang (Pattern Recognit., 2005)

Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization. - Vicky Ling Huang; A. K. Qin 001; Ponnuthurai N. Suganthan (IEEE Congress on Evolutionary Computation, 2006)

Personal Identification System based on Multiple Palmprint Features. - A. K. Qin 001; Ponnuthurai N. Suganthan; C. H. Tay; H. S. Pa (ICARCV, 2006)

Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. - A. K. Qin 001; Ponnuthurai N. Suganthan; Marco Loog (ICPR (3), 2006)

Performance Evaluation of Multiagent Genetic Algorithm. - Jing J. Liang; S. Baskar 001; Ponnuthurai N. Suganthan; A. K. Qin 001 (Nat. Comput., 2006)

Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction. - A. K. Qin 001; Ponnuthurai N. Suganthan; Marco Loog (Pattern Recognit., 2006)

Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. - Jing J. Liang; A. K. Qin 001; Ponnuthurai N. Suganthan; S. Baskar 001 (IEEE Trans. Evol. Comput., 2006)

Multi-objective optimization based on self-adaptive differential evolution algorithm. - Vicky Ling Huang; A. K. Qin 001; Ponnuthurai N. Suganthan; Mehmet Fatih Tasgetiren (IEEE Congress on Evolutionary Computation, 2007)

Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization. - A. K. Qin 001; Vicky Ling Huang; Ponnuthurai N. Suganthan (IEEE Trans. Evol. Comput., 2009)

Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty. - A. K. Qin 001; David A. Clausi (IEEE Trans. Image Process., 2010)

Harmony search with differential mutation based pitch adjustment. - A. K. Qin 001; Florence Forbes (GECCO, 2011)

Dynamic regional harmony search with opposition and local learning. - A. K. Qin 001; Florence Forbes (GECCO (Companion), 2011)

An improved CUDA-based implementation of differential evolution on GPU. - A. K. Qin 001; Federico Raimondo; Florence Forbes; Yew-Soon Ong (GECCO, 2012)

Improved generic categorical object detection fusing depth cue with 2D appearance and shape features. - Hong Pan 001; Yaping Zhu; Siyu Xia; A. Kai Qin (ICPR, 2012)

Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty. - Peter Yu; A. Kai Qin; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2012)

Initialization methods for large scale global optimization. - Borhan Kazimipour; Xiaodong Li 001; A. K. Qin 001 (IEEE Congress on Evolutionary Computation, 2013)

Differential evolution on the CEC-2013 single-objective continuous optimization testbed. - A. K. Qin 001; Xiaodong Li 001 (IEEE Congress on Evolutionary Computation, 2013)

Investigation of self-adaptive differential evolution on the CEC-2013 real-parameter single-objective optimization testbed. - A. K. Qin 001; Xiaodong Li 001; Hong Pan 001; Siyu Xia (IEEE Congress on Evolutionary Computation, 2013)

Sensor-based activity recognition with improved GP-based classifier. - Feng Xie 001; A. K. Qin 001; Andy Song; Victor Ciesielski (IEEE Congress on Evolutionary Computation, 2013)

Mining heterogeneous class-specific codebook for categorical object detection and classification. - Hong Pan 001; Yaping Zhu; A. K. Qin 001; Liangzheng Xia (ICIP, 2013)

Input Space Partitioning for Neural Network Learning. - Shujuan Guo; Sheng-Uei Guan; Weifan Li; Ka Lok Man; Fei Liu 003; A. K. Qin 001 (Int. J. Appl. Evol. Comput., 2013)

Effects of population initialization on differential evolution for large scale optimization. - Borhan Kazimipour; Xiaodong Li 001; A. K. Qin 001 (IEEE Congress on Evolutionary Computation, 2014)

A review of population initialization techniques for evolutionary algorithms. - Borhan Kazimipour; Xiaodong Li 001; A. K. Qin 001 (IEEE Congress on Evolutionary Computation, 2014)

A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization. - Borhan Kazimipour; Mohammad Nabi Omidvar; Xiaodong Li 001; A. K. Qin 001 (IEEE Congress on Evolutionary Computation, 2014)

Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization. - A. K. Qin 001; Ke Tang 001; Hong Pan 001; Si-Yu Xia (IEEE Congress on Evolutionary Computation, 2014)

An archive based particle swarm optimisation for feature selection in classification. - Bing Xue 001; A. K. Qin 001; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

Neural Network Based on Self-adaptive Differential Evolution for Ultra-Short-Term Power Load Forecasting. - Wei Liu; Hui Song; Jane-Jing Liang; Bo-Yang Qu; Alex Kai Qin (ICIC (3), 2014)

Face Clustering in Photo Album. - Si-Yu Xia; Hong Pan 001; A. K. Qin 001 (ICPR, 2014)

Neural Network Based on Dynamic Multi-swarm Particle Swarm Optimizer for Ultra-Short-Term Load Forecasting. - Jane-Jing Liang; Hui Song; Bo-Yang Qu; Wei Liu; Alex Kai Qin (ICSI (2), 2014)

Finding convex hull vertices in metric space. - Jinhong Zhong; Ke Tang 001; A. K. Qin 001 (IJCNN, 2014)

Why Advanced Population Initialization Techniques Perform Poorly in High Dimension? - Borhan Kazimipour; Xiaodong Li 001; A. K. Qin 001 (SEAL, 2014)

Local ensemble surrogate assisted crowding differential evolution. - Chen Jin; A. K. Qin 001; Ke Tang 001 (CEC, 2015)

A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms. - Borhan Kazimipour; Mohammad Nabi Omidvar; Xiaodong Li 001; A. K. Qin 001 (CEC, 2015)

QoS-aware long-term based service composition in cloud computing. - Shengcai Liu; Yufan Wei; Ke Tang 001; A. K. Qin 001; Xin Yao 001 (CEC, 2015)

Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images. - Allan Campbell; Vic Ciesielski; A. K. Qin 001 (EvoMUSART, 2015)

Optimizing Long-term IaaS Service Composition. - Sajib Mistry; Athman Bouguettaya; Hai Dong; A. K. Qin 001 (ICSOC, 2015)

Predicting Dynamic Requests Behavior in Long-Term IaaS Service Composition. - Sajib Mistry; Athman Bouguettaya; Hai Dong; A. K. Qin 001 (ICWS, 2015)

Road detection via unsupervised feature learning. - Siyu Xia; Junkang Zhang; Kaiyue Lu; A. K. Qin 001 (IVCNZ, 2015)

Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification. - Lunjun Wan; Ke Tang 001; Mingzhi Li; Yanfei Zhong; A. K. Qin 001 (IEEE Trans. Geosci. Remote. Sens., 2015)

A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in Graphs. - Angus Kenny; Xiaodong Li 001; A. K. Qin 001; Andreas T. Ernst (GECCO, 2016)

Private spatial data aggregation in the local setting. - Rui Chen 012; Haoran Li; A. K. Qin 001; Shiva Prasad Kasiviswanathan; Hongxia Jin (ICDE, 2016)

A genetics-motivated unsupervised model for tri-subject kinship verification. - Junkang Zhang; Si-Yu Xia; Hong Pan 001; A. K. Qin 001 (ICIP, 2016)

Robust road detection from a single image. - Junkang Zhang; Si-Yu Xia; Kaiyue Lu; Hong Pan 001; A. K. Qin 001 (ICPR, 2016)

Node label matching improves classification performance in Deep Belief Networks. - Allan Campbell; Vic Ciesielski; A. K. Qin 001 (IJCNN, 2016)

Semi-supervised auto-encoder based on manifold learning. - Yawei Li; Lizuo Jin; A. K. Qin 001; Changyin Sun 001; Yew-Soon Ong; Tong Cui (IJCNN, 2016)

Multivariate electricity consumption prediction with Extreme Learning Machine. - Hui Song; A. K. Qin 001; Flora D. Salim (IJCNN, 2016)

Optimal time window for temporal segmentation of sensor streams in multi-activity recognition. - Jonathan Liono; A. K. Qin 001; Flora D. Salim (MobiQuitous, 2016)

Two-hidden-layer extreme learning machine for regression and classification. - Bo-Yang Qu 001; B. F. Lang; Jing J. Liang; A. K. Qin 001; Oscar D. Crisalle (Neurocomputing, 2016)

Discrete particle swarm optimization for high-order graph matching. - Maoguo Gong; Yue Wu 004; Qing Cai; Wenping Ma 001; A. K. Qin 001; Zhenkun Wang 001; Licheng Jiao (Inf. Sci., 2016)

Robust road detection in shadow conditions. - Kaiyue Lu; Siyu Xia; Junkang Zhang; A. K. Qin 001 (J. Electronic Imaging, 2016)

A GPU-based implementation of brain storm optimization. - Chen Jin; A. K. Qin 001 (CEC, 2017)

Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction. - Hui Song; A. K. Qin 001; Flora D. Salim (ICONIP (5), 2017)

An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation. - Boyu Zhang; A. K. Qin 001; Jeffrey Chan (ICONIP (2), 2017)

Subjective Evaluation of Market-Driven Cloud Services. - Malagalage Sameera Hemangi Jayaratna; Athman Bouguettaya; Hai Dong; A. Kai Qin; Abdelkarim Erradi (ICWS, 2017)

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. - Bingshui Da; Yew-Soon Ong; Liang Feng 001; A. K. Qin 001; Abhishek Gupta 001; Zexuan Zhu 001; Chuan-Kang Ting; Ke Tang 001; Xin Yao 001 (CoRR, 2017)

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. - Yuan Yuan 004; Yew-Soon Ong; Liang Feng 001; A. K. Qin 001; Abhishek Gupta 001; Bingshui Da; Qingfu Zhang 001; Kay Chen Tan; Yaochu Jin; Hisao Ishibuchi (CoRR, 2017)

CDS: Collaborative distant supervision for Twitter account classification. - Lishan Cui; Xiuzhen Zhang 001; A. K. Qin 001; Timos Sellis; Lifang Wu (Expert Syst. Appl., 2017)

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics. - Chong Zhang 003; Pin Lim; A. K. Qin 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2017)

Evolutionary feature subspaces generation for ensemble classification. - Boyu Zhang; A. K. Qin 001; Timos Sellis (GECCO, 2018)

Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction. - Hui Song; A. K. Qin 001; Flora D. Salim (IJCNN, 2018)

Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life. - Jonathan Liono; Zahraa S. Abdallah; A. K. Qin 001; Flora D. Salim (MobiQuitous, 2018)

BLEDoorGuard: A Device-Free Person Identification Framework Using Bluetooth Signals for Door Access. - Wei Shao 006; Thuong Nguyen; A. Kai Qin; Moustafa Youssef 001; Flora D. Salim (IEEE Internet Things J., 2018)

A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. - Jia Liu 020; Maoguo Gong; A. Kai Qin; Puzhao Zhang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Metaheuristic Optimization for Long-term IaaS Service Composition. - Sajib Mistry; Athman Bouguettaya; Hai Dong; A. K. Qin 001 (IEEE Trans. Serv. Comput., 2018)

A Study on Knowledge Reuse Strategies in Multitasking Differential Evolution. - Chen Jin; Pei-Wei Tsai; A. K. Qin 001 (CEC, 2019)

Multitasking Multi-Swarm Optimization. - Hui Song; A. K. Qin 001; Pei-Wei Tsai; Jing J. Liang (CEC, 2019)

Differential Evolutionary Multi-task Optimization. - Xiaolong Zheng 006; Yu Lei 002; A. K. Qin 001; Deyun Zhou; Jiao Shi; Maoguo Gong (CEC, 2019)

Machine Learning-Driven Trust Prediction for MEC-Based IoT Services. - Prabath Abeysekara; Hai Dong; A. K. Qin 001 (ICWS, 2019)

Action Recognition with Bootstrapping based Long-range Temporal Context Attention. - Ziming Liu 003; Guangyu Gao; A. K. Qin 001; Tong Wu 014; Chi Harold Liu (ACM Multimedia, 2019)

Improving Experience Sampling with Multi-view User-driven Annotation Prediction. - Jonathan Liono; Flora D. Salim; Niels van Berkel; Vassilis Kostakos; A. K. Qin 001 (PerCom, 2019)

A New Makeup Transfer with Super-resolution. - Yeqing Ren; Youqiang Sun; Di Wu; Zhihua Cui; A. K. Qin 001 (Aust. J. Intell. Inf. Process. Syst., 2019)

Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems. - Borhan Kazimipour; Mohammad Nabi Omidvar; A. K. Qin 001; Xiaodong Li 001; Xin Yao 001 (Appl. Soft Comput., 2019)

Location-Centered House Price Prediction: A Multi-Task Learning Approach. - Guangliang Gao; Zhifeng Bao; Jie Cao 001; A. K. Qin 001; Timos Sellis; Zhiang Wu 001 (CoRR, 2019)

TPNE: Topology preserving network embedding. - Yu Xie 009; Maoguo Gong; A. K. Qin 001; Zedong Tang; Xiaolong Fan (Inf. Sci., 2019)

QDaS: Quality driven data summarisation for effective storage management in Internet of Things. - Jonathan Liono; Prem Prakash Jayaraman; A. K. Qin 001; Thuong Nguyen; Flora D. Salim (J. Parallel Distributed Comput., 2019)

Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation. - Maoguo Gong; Aimin Zhou; A. K. Qin 001; Linqiang Pan (Swarm Evol. Comput., 2019)

Evolutionary Multitasking via Explicit Autoencoding. - Liang Feng 001; Lei Zhou 020; Jinghui Zhong; Abhishek Gupta 001; Yew-Soon Ong; Kay Chen Tan; A. K. Qin 001 (IEEE Trans. Cybern., 2019)

QoS-Aware Web Service Selection with Internal Complementarity. - Xinle Liang; A. K. Qin 001; Ke Tang 001; Kay Chen Tan (IEEE Trans. Serv. Comput., 2019)

Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. - Ranjie Duan; Xingjun Ma; Yisen Wang 001; James Bailey 001; A. K. Qin 001; Yun Yang 001 (CVPR, 2020)

Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. - Prabath Abeysekara; Hai Dong; A. K. Qin 001 (IJCNN, 2020)

PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. - Ziqiang Li 003; Hong Pan 001; Yaping Zhu; A. K. Qin 001 (IJCNN, 2020)

A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. - Boyu Zhang; A. K. Qin 001; Hong Pan 001; Timos Sellis (IJCNN, 2020)

Temporal Memory Network Towards Real-Time Video Understanding. - Ziming Liu 003; Jinyang Li 007; Guangyu Gao; Alex Kai Qin (IEEE Access, 2020)

A Survey on Differentially Private Machine Learning [Review Article]. - Maoguo Gong; Yu Xie 009; Ke Pan 001; Kaiyuan Feng; A. K. Qin 001 (IEEE Comput. Intell. Mag., 2020)

DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition. - Ziming Liu 003; Guangyu Gao; A. K. Qin 001; Jinyang Li 007 (CoRR, 2020)

Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations. - Wenfeng Liu; Maoguo Gong; Zedong Tang; A. K. Qin 001 (CoRR, 2020)

Learning to Optimise General TSP Instances. - Nasrin Sultana; Jeffrey Chan; A. K. Qin 001 (CoRR, 2020)

Learning Vehicle Routing Problems using Policy Optimisation. - Nasrin Sultana; Jeffrey Chan; A. K. Qin 001; Tabinda Sarwar (CoRR, 2020)

Graph convolutional networks with multi-level coarsening for graph classification. - Yu Xie 009; Chuanyu Yao; Maoguo Gong; Cheng Chen; A. K. Qin 001 (Knowl. Based Syst., 2020)

Evolutionary model construction for electricity consumption prediction. - Hui Song; A. K. Qin 001; Flora D. Salim (Neural Comput. Appl., 2020)

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition. - Maoguo Gong; Ke Pan 001; Yu Xie 009; A. K. Qin 001; Zedong Tang (Neural Networks, 2020)

Hyper-parameter optimization in classification: To-do or not-to-do. - Ngoc Tran; Jean-Guy Schneider; Ingo Weber; A. K. Qin 001 (Pattern Recognit., 2020)

Self-Regulated Evolutionary Multitask Optimization. - Xiaolong Zheng 006; A. K. Qin 001; Maoguo Gong; Deyun Zhou (IEEE Trans. Evol. Comput., 2020)

Bipartite Differential Neural Network for Unsupervised Image Change Detection. - Jia Liu 020; Maoguo Gong; A. K. Qin 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2020)

Matrix Function Optimization Problems Under Orthonormal Constraint. - Guoqi Li 002; Fei Zeng; Huiqi Li; A. K. Qin 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

A Survey of Advances in Evolutionary Neural Architecture Search. - Xun Zhou; A. K. Qin 001; Yanan Sun 001; Kay Chen Tan (CEC, 2021)

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. - Ranjie Duan; Xiaofeng Mao; A. K. Qin 001; Yuefeng Chen; Shaokai Ye; Yuan He 011; Yun Yang 001 (CVPR, 2021)

AdvDrop: Adversarial Attack to DNNs by Dropping Information. - Ranjie Duan; Yuefeng Chen; Dantong Niu; Yun Yang 001; A. K. Qin 001; Yuan He 011 (ICCV, 2021)

Learning to Optimise Routing Problems using Policy Optimisation. - Nasrin Sultana; Jeffrey Chan; Tabinda Sarwar; A. K. Qin 001 (IJCNN, 2021)

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. - Yuan Gao 019; Jiawei Li 001; Maoguo Gong; Yu Xie 009; A. K. Qin 001 (CoRR, 2021)

Multi-Party Dual Learning. - Maoguo Gong; Yuan Gao 019; Yu Xie 009; A. K. Qin 001; Ke Pan 001; Yew-Soon Ong (CoRR, 2021)

Evolutionary Ensemble Learning for Multivariate Time Series Prediction. - Hui Song; A. K. Qin 001; Flora D. Salim (CoRR, 2021)

Learning Enhanced Optimisation for Routing Problems. - Nasrin Sultana; Jeffrey Chan; Tabinda Sarwar; Babak Abbasi; A. K. Qin 001 (CoRR, 2021)

ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning. - Maoguo Gong; Yuan Gao 019; Yue Wu 004; A. K. Qin 001 (CoRR, 2021)

Graph embedding via multi-scale graph representations. - Yu Xie 009; Cheng Chen; Maoguo Gong; Deyu Li; A. K. Qin 001 (Inf. Sci., 2021)

Locality preserving dense graph convolutional networks with graph context-aware node representations. - Wenfeng Liu; Maoguo Gong; Zedong Tang; A. K. Qin 001; Kai Sheng; Mingliang Xu 001 (Neural Networks, 2021)

Attention-Guided Siamese Fusion Network for Change Detection of Remote Sensing Images. - Puhua Chen; Lei Guo; Xiangrong Zhang; Alex Kai Qin; Wentao Ma; Licheng Jiao (Remote. Sens., 2021)

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. - Liang Feng 001; Lei Zhou 020; Abhishek Gupta 001; Jinghui Zhong; Zexuan Zhu 001; Kay Chen Tan; Alex Kai Qin (IEEE Trans. Cybern., 2021)

A Survey on Evolutionary Construction of Deep Neural Networks. - Xun Zhou; A. K. Qin 001; Maoguo Gong; Kay Chen Tan (IEEE Trans. Evol. Comput., 2021)

Similar Trajectory Search with Spatio-Temporal Deep Representation Learning. - David Alexander Tedjopurnomo; Xiucheng Li; Zhifeng Bao; Gao Cong; Farhana Murtaza Choudhury; A. K. Qin 001 (ACM Trans. Intell. Syst. Technol., 2021)

An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection. - Yuan Gao 019; Maoguo Gong; Yu Xie 009; A. K. Qin 001 (IEEE Trans. Multim., 2021)

Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. - Maoguo Gong; Jia Liu 020; A. K. Qin 001; Kun Zhao; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore. - David Alexander Tedjopurnomo; Zhifeng Bao; Farhana Murtaza Choudhury; Hui Luo 001; A. K. Qin 001 (FAccT, 2022)

A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks. - Binyan Hu; Yu Sun 082; A. K. Qin 001 (IJCNN, 2022)

Multi-task Optimization Based Co-training for Electricity Consumption Prediction. - Hui Song; A. K. Qin 001; Chenggang Yan 001 (IJCNN, 2022)

Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe. - Colin Jacobs; Karl Glazebrook; A. K. Qin 001; Thomas Collett (Astron. Comput., 2022)

Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems. - Nasrin Sultana; Jeffrey Chan; Tabinda Sarwar; A. K. Qin 001 (CoRR, 2022)

Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges. - Prabath Abeysekara; Hai Dong; A. K. Qin 001 (CoRR, 2022)

Learning to optimise general TSP instances. - Nasrin Sultana; Jeffrey Chan; Tabinda Sarwar; A. K. Qin 001 (Int. J. Mach. Learn. Cybern., 2022)

SMD-Net: Siamese Multi-Scale Difference-Enhancement Network for Change Detection in Remote Sensing. - Xiangrong Zhang; Ling He; A. Kai Qin; Qi Dang; Hongjie Si; Xu Tang 004; Licheng Jiao (Remote. Sens., 2022)

An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity Optimization. - Kaiyuan Feng; Xia Fei; Maoguo Gong; A. K. Qin 001; Hao Li 009; Yue Wu 004 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Deep Image Inpainting With Enhanced Normalization and Contextual Attention. - Jia Liu 020; Maoguo Gong; Zedong Tang; A. K. Qin 001; Hao Li 009; Fenlong Jiang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. - Sijia Zhang; Maoguo Gong; Yu Xie 009; A. K. Qin 001; Hao Li 009; Yuan Gao 019; Yew-Soon Ong (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. - Zedong Tang; Maoguo Gong; Yue Wu 004; A. K. Qin 001; Kay Chen Tan (IEEE Trans. Cybern., 2022)

Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. - Yuxiao Huang; Liang Feng 001; Alex Kai Qin; Meng Chen; Kay Chen Tan (IEEE Trans. Evol. Comput., 2022)

Evolutionary Multitask Optimization With Adaptive Knowledge Transfer. - Hao Xu; A. K. Qin 001; Siyu Xia (IEEE Trans. Evol. Comput., 2022)

Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. - Zedong Tang; Maoguo Gong; Yu Xie 009; Hao Li 009; A. K. Qin 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images. - Maoguo Gong; Fenlong Jiang; A. K. Qin 001; Tongfei Liu; Tao Zhan 005; Di Lu 004; Hanhong Zheng; Mingyang Zhang 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Semisupervised Adaptive Ladder Network for Remote Sensing Image Change Detection. - Jiao Shi; Tiancheng Wu; A. K. Qin 001; Yu Lei 002; Gwanggil Jeon (IEEE Trans. Geosci. Remote. Sens., 2022)

Location-Centered House Price Prediction: A Multi-Task Learning Approach. - Guangliang Gao; Zhifeng Bao; Jie Cao 001; A. K. Qin 001; Timos Sellis (ACM Trans. Intell. Syst. Technol., 2022)

Exploring Temporal Information for Dynamic Network Embedding. - Maoguo Gong; Shunfei Ji; Yu Xie 009; Yuan Gao 019; A. K. Qin 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges. - David Alexander Tedjopurnomo; Zhifeng Bao; Baihua Zheng; Farhana Murtaza Choudhury; A. K. Qin 001 (IEEE Trans. Knowl. Data Eng., 2022)

Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images. - Yue Wu 004; Jiaheng Li; Yongzhe Yuan; A. K. Qin 001; Qiguang Miao; Maoguo Gong (IEEE Trans. Neural Networks Learn. Syst., 2022)

ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method. - Chunjiang Zhang; A. K. Qin 001; Weiming Shen 001; Liang Gao 001; Kay Chen Tan; Xinyu Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Evolution Enhancing Property Price Prediction by Generating Artificial Transaction Data. - Zheping Liu; Andy Song; Nasser R. Sabar; Takero Izuhara; A. Kai Qin (GECCO Companion, 2023)

Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction. - Mrinmay Sen; C. Krishna Mohan; A. Kai Qin (HPCC/DSS/SmartCity/DependSys, 2023)

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 001 (ICDE, 2023)

Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. - Bo Wang; A. K. Qin 001; Sajjad Shafiei; Hussein Dia; Adriana Simona Mihaita; Hanna Grzybowska (IJCNN, 2023)

Federated Optimization with Linear-Time Approximated Hessian Diagonal. - Mrinmay Sen; C. Krishna Mohan; A. Kai Qin (PReMI, 2023)

TrafFormer: A Transformer Model for Predicting Long-term Traffic. - David Alexander Tedjopurnomo; Farhana Murtaza Choudhury; A. K. Qin 001 (CoRR, 2023)

FLrce: Efficient Federated Learning with Relationship-based Client Selection and Early-Stopping Strategy. - Ziru Niu; Hai Dong; A. K. Qin 001; Tao Gu 001 (CoRR, 2023)

Multi-Objective Cloud Task Scheduling Optimization Based on Evolutionary Multi-Factor Algorithm. - Zhihua Cui; Tianhao Zhao; Linjie Wu; A. K. Qin 001; Jianwei Li (IEEE Trans. Cloud Comput., 2023)

RAFNet: Interdomain Representation Alignment and Fine-Tuning for Image Series Classification. - Maoguo Gong; Wenyuan Qiao; Hao Li 009; A. K. Qin 001; Tianqi Gao; Tianshi Luo; Lining Xing 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Propagation Enhanced Neural Message Passing for Graph Representation Learning. - Xiaolong Fan; Maoguo Gong; Yue Wu 004; A. K. Qin 001; Yu Xie 009 (IEEE Trans. Knowl. Data Eng., 2023)

Data-Driven Trust Prediction in Mobile Edge Computing-Based IoT Systems. - Prabath Abeysekara; Hai Dong; A. K. Qin 001 (IEEE Trans. Serv. Comput., 2023)

Edge Intelligence for Real-Time IoT Service Trust Prediction. - Prabath Abeysekara; Hai Dong; A. K. Qin 001 (IEEE Trans. Serv. Comput., 2023)

DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition. - Guangyu Gao; Ziming Liu 003; Guangjun Zhang; Jinyang Li 007; A. K. Qin 001 (Neural Networks, 2023)

Manifold clustering-based prediction for dynamic multiobjective optimization. - Li Yan 006; Wenlong Qi; A. K. Qin 001; Shengxiang Yang; Dunwei Gong; Boyang Qu 001; Jing Liang 005 (Swarm Evol. Comput., 2023)

Multi-layer composite autoencoders for semi-supervised change detection in heterogeneous remote sensing images. - Jiao Shi; Tiancheng Wu; Hanwen Yu; A. K. Qin 001; Gwanggil Jeon; Yu Lei 002 (Sci. China Inf. Sci., 2023)

Multiparty Dual Learning. - Yuan Gao 019; Maoguo Gong; Yu Xie 009; A. K. Qin 001; Ke Pan 001; Yew-Soon Ong (IEEE Trans. Cybern., 2023)

Semisupervised Graph Neural Networks for Graph Classification. - Yu Xie 009; Yanfeng Liang; Maoguo Gong; A. K. Qin 001; Yew-Soon Ong; Tiantian He 001 (IEEE Trans. Cybern., 2023)

Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. - Maoguo Gong; Yuan Gao 019; Yue Wu 004; Yuanqiao Zhang; A. K. Qin 001; Yew-Soon Ong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Computational Intelligence in Remote Sensing. - Yue Wu 004; Maoguo Gong; Qiguang Miao; A. Kai Qin (Remote. Sens., 2023)

Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification. - Maoguo Gong; Hui Zhou; A. K. Qin 001; Wenfeng Liu; Zhongying Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Deep Fuzzy Variable C-Means Clustering Incorporated With Curriculum Learning. - Maoguo Gong; Yue Zhao 024; Hao Li 009; A. K. Qin 001; Lining Xing 001; Jianzhao Li; Yiting Liu 004; Yuhao Liu (IEEE Trans. Fuzzy Syst., 2023)

An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting. - Qiyuan Zhu; Alex Kai Qin; Hussein Dia; Adriana Simona Mihaita; Hanna Grzybowska (AI (1), 2024)

Expert-Adaptive Medical Image Segmentation. - Binyan Hu; A. K. Qin 001 (CAI, 2024)

SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix. - Mrinmay Sen; A. K. Qin 001; Gayathri C; Raghu Kishore N; Yen-Wei Chen 001; Balasubramanian Raman (IJCNN, 2024)

Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation. - Binyan Hu; A. K. Qin 001 (CoRR, 2024)

Deep Learning for Medical Image Segmentation with Imprecise Annotation. - Binyan Hu; A. K. Qin 001 (CoRR, 2024)

Decentralised Traffic Incident Detection via Network Lasso. - Qiyuan Zhu; A. K. Qin 001; Prabath Abeysekara; Hussein Dia; Hanna Grzybowska (CoRR, 2024)

FAGH: Accelerating Federated Learning with Approximated Global Hessian. - Mrinmay Sen; A. K. Qin 001; Krishna Mohan C (CoRR, 2024)

Differential privacy in deep learning: A literature survey. - Ke Pan 001; Yew-Soon Ong; Maoguo Gong; Hui Li 006; A. K. Qin 001; Yuan Gao 019 (Neurocomputing, 2024)

Learning to guide local search optimisation for routing problems. - Nasrin Sultana; Jeffrey Chan; Babak Abbasi; Tabinda Sarwar; A. K. Qin 001 (Oper. Res. Lett., 2024)

Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. - Yuheng Liu; Ye Wang 020; Yifan Zhang 006; Shaohui Mei; Jiaqi Zou; Zhuohong Li; Fangxiao Lu; Wei He 003; Hongyan Zhang 001; Huilin Zhao; Chuan Chen; Cong Xia; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission. - Sha Lu 001; Eriita G. Jones; Liang Zhao; Yu Sun 082; A. K. Qin 001; Jixue Liu; Jiuyong Li; Prabath Abeysekara; Norman Mueller; Simon Oliver; Jim O'Hehir; Stefan Peters (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Robust Self-Paced Incremental Learning for Multitemporal Remote Sensing Image Classification. - Hao Li 009; Pengyang Niu; Maoguo Gong; Lining Xing 001; Yue Wu 004; A. K. Qin 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels. - Hao Li 009; Mingyang Zhang 002; Ziqi Di; Maoguo Gong; Tianqi Gao; A. K. Qin 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification. - Yue Zhao 024; Maoguo Gong; A. K. Qin 001; Mingyang Zhang 002; Zhuping Hu; Tianqi Gao; Yan Pu (IEEE Trans. Geosci. Remote. Sens., 2024)

Spectral Knowledge Transfer for Remote Sensing Change Detection. - Hanhong Zheng; Dongyang Li; Mingyang Zhang 002; Maoguo Gong; A. K. Qin 001; Tongfei Liu; Fenlong Jiang (IEEE Trans. Geosci. Remote. Sens., 2024)

A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption. - Maoguo Gong; Yuanqiao Zhang; Yuan Gao 019; A. K. Qin 001; Yue Wu 004; Shanfeng Wang; Yihong Zhang 008 (IEEE Trans. Inf. Forensics Secur., 2024)

Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding. - Yue Wu 004; Jiaming Liu; Maoguo Gong; Peiran Gong; Xiaolong Fan; A. K. Qin 001; Qiguang Miao; Wenping Ma 001 (IEEE Trans. Multim., 2024)

Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. - Yue Wu 004; Hangqi Ding; Maoguo Gong; A. K. Qin 001; Wenping Ma 001; Qiguang Miao; Kay Chen Tan (IEEE Trans. Evol. Comput., 2024)

An Agent-Based Simulation Approach for Urban Road Pricing Considering the Integration of Autonomous Vehicles With Public Transport. - Sajjad Shafiei; Hussein Dia; Wen Wu; Hanna Grzybowska; A. K. Qin 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery. - Yiting Liu 004; Hao Li 009; Maoguo Gong; A. K. Qin 001 (IEEE Trans. Evol. Comput., 2024)

Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization. - Hao Li 009; Dezhong Li; Maoguo Gong; Jianzhao Li; A. K. Qin 001; Lining Xing 001; Fei Xie 007 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Self-Guided Autoencoders for Unsupervised Change Detection in Heterogeneous Remote Sensing Images. - Jiao Shi; Tiancheng Wu; Alex Kai Qin; Yu Lei 002; Gwanggil Jeon (IEEE Trans. Artif. Intell., 2024)

Surrogate-Assisted Evolutionary Multiobjective Neural Architecture Search Based on Transfer Stacking and Knowledge Distillation. - Kuangda Lyu; Hao Li 009; Maoguo Gong; Lining Xing 001; A. K. Qin 001 (IEEE Trans. Evol. Comput., 2024)

Selective Transfer Based Evolutionary Multitasking Optimization for Change Detection. - Hao Li 009; Tianshi Luo; Liwen Liu; Maoguo Gong; Wenyuan Qiao; Fei Xie 007; A. K. Qin 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework. - Yuan Gao 019; Yuanqiao Zhang; Maoguo Gong; Qing Cai; Yu Xie 009; A. K. Qin 001 (IEEE Trans. Cybern., 2024)

Privacy-Enhanced Multitasking Particle Swarm Optimization Based on Homomorphic Encryption. - Hao Li 009; Fanggao Wan; Maoguo Gong; A. K. Qin 001; Yue Wu 004; Lining Xing 001 (IEEE Trans. Evol. Comput., 2024)

Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images. - Yuanqiao Zhang; Maoguo Gong; Yuan Gao 019; A. K. Qin 001; Kun Wang; Yi-Ming Lin; Shanfeng Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis. - Yuan Gao 019; Maoguo Gong; Yew-Soon Ong; A. K. Qin 001; Yue Wu 004; Fei Xie 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations. - Yue Wu 004; Yue Zhang 040; Wenping Ma 001; Maoguo Gong; Xiaolong Fan; Mingyang Zhang 002; A. K. Qin 001; Qiguang Miao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Federated Collaborative Graph Neural Networks for Few-shot Graph Classification. - Yu Xie 009; Yanfeng Liang; Chao Wen; A. K. Qin 001; Maoguo Gong (Mach. Intell. Res., 2024)

ShiftAttack: Toward Attacking the Localization Ability of Object Detector. - Hao Li 009; Zeyu Yang; Maoguo Gong; Shiguo Chen; A. K. Qin 001; Zhenxing Niu; Yue Wu 004; Yu Zhou 051 (IEEE Trans. Circuits Syst. Video Technol., 2024)

FLrce: Resource-Efficient Federated Learning With Early-Stopping Strategy. - Ziru Niu; Hai Dong; A. Kai Qin; Tao Gu 001 (IEEE Trans. Mob. Comput., 2024)

FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update. - Ziru Niu; Hai Dong; A. K. Qin 001 (AAAI, 2025)

Multi-Task Optimisation-Based Yaw Control For Wind Farm Power Generation. - NagaSree Keerthi Pujari; A. K. Qin 001; Kishalay Mitra (CEC, 2025)

PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations. - Yantong Du; Rui Chen 012; Xiangyu Zhao 001; Qilong Han; A. K. Qin 001 (CIKM, 2025)

An adaptive strategy based multi-population multi-objective optimization algorithm. - Tianhao Zhao; Linjie Wu; Zhihua Cui; A. K. Qin 001 (Inf. Sci., 2025)

Advertising or adversarial? AdvSign: Artistic advertising sign camouflage for target physical attacking to object detector. - Guangyu Gao; Zhuocheng Lv; Yan Zhang; A. K. Qin 001 (Neural Networks, 2025)

FedKT: Federated learning with knowledge transfer for non-IID data. - Wenjie Mao; Bin Yu 011; Chen Zhang 015; A. K. Qin 001; Yu Xie 009 (Pattern Recognit., 2025)

Multi-scale hierarchical feature fusion network for change detection. - Hanhong Zheng; Mingyang Zhang 002; Maoguo Gong; A. K. Qin 001; Tongfei Liu; Fenlong Jiang (Pattern Recognit., 2025)

Multimodal Semantic Segmentation in Yangtze River Economic Belt: Outcome of the 2024 IEEE WHISPERS MMSeg-YREB Challenge. - Jiepan Li; He Huang; Yu Xia 032; Xian Xu; Yingxin Wu; Qi Guo; Yinhe Liu; Yanfei Zhong; Jeongho Min; Sungbin Son; Hyeonjin Kim; Jaejun Yoo 001; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Physical Adversarial Background Patch Against Aerial Object Detection Based on Pareto Efficiency. - Hao Li 009; Jiachang Li; Maoguo Gong; Haiyue Yu 001; Kelin Dang; Yu Zhou 051; A. K. Qin 001; Yue Wu 004 (IEEE Trans. Geosci. Remote. Sens., 2025)

A Collaborative Network for Multiple Hyperspectral Images Joint Classification. - Jiao Shi; Chunhui Tan; Hanwen Yu; A. K. Qin 001; Yu Lei 002; Maoguo Gong (IEEE Trans. Geosci. Remote. Sens., 2025)

Bidirectional Stacking Ensemble Curriculum Learning for Hyperspectral Image Imbalanced Classification With Noisy Labels. - Yixin Wang 009; Hao Li 009; Maoguo Gong; Yue Wu 004; Peiran Gong; A. K. Qin 001; Lining Xing 001; Mingyang Zhang 002 (IEEE Trans. Geosci. Remote. Sens., 2025)

Contrastive Learning Network for Unsupervised Graph Matching. - Yu Xie 009; Lianhang Luo; Tianpei Cao; Bin Yu 011; A. K. Qin 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification. - Jiao Shi; Tiancheng Wu; A. K. Qin 001; Tao Shao; Yu Lei 002; Gwanggil Jeon (IEEE Trans. Neural Networks Learn. Syst., 2025)

IEEE CIS VP-Education Vision Statement [Society Briefs]. - Alex Kai Qin (IEEE Comput. Intell. Mag., 2025)

Evolutionary Neural Architecture Search for Transferable Networks. - Xun Zhou; Songbai Liu; A. K. Qin 001; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration. - Yongzhe Yuan; Yue Wu 004; Maoguo Gong; Qiguang Miao; A. K. Qin 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Boosting Generalization Performance in Model-Heterogeneous Federated Learning Using Variational Transposed Convolution. - Ziru Niu; Hai Dong; A. K. Qin 001 (CoRR, 2025)

On the Fast Adaptation of Delayed Clients in Decentralized Federated Learning: A Centroid-Aligned Distillation Approach. - Jiahui Bai; Hai Dong; A. K. Qin 001 (CoRR, 2025)

SPCNet: Deep Self-Paced Curriculum Network Incorporated With Inductive Bias. - Yue Zhao 024; Maoguo Gong; Mingyang Zhang 002; A. K. Qin 001; Fenlong Jiang; Jianzhao Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Divide-and-Conquer Evolutionary Multitasking Optimization. - Hao Li 009; Guodong Xu; Maoguo Gong; Yue Wu 004; A. K. Qin 001; Lining Xing 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Fast Heterogeneous Multiproblem Surrogates for Transfer Evolutionary Multiobjective Optimization. - Hao Li 009; Pu Xiong; Maoguo Gong; A. K. Qin 001; Yue Wu 004; Lining Xing 001 (IEEE Trans. Evol. Comput., 2025)

Evolutionary Multiobjective Cross-Spectral Adversarial Attacks With Synergistic Patches. - Wencheng Han; Hao Li 009; Maoguo Gong; Yue Wu 004; A. K. Qin 001; Lining Xing 001; Yu Zhou 051 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

STEAM: Style Transfer Enabled Adversarial Attack With Attention Mechanism on Remote Sensing Image Scene Classification. - Tianshi Luo; Hao Li 009; Maoguo Gong; Yu Zhou 051; A. K. Qin 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Difficulty-aware deisolated affinity propagation based collaborative learning via dynamic constrained multi-objective optimization. - Yifei Sun 004; Ziang Wang 002; Yongan Li; Sicheng Hou; Xinqi Yang; Maoguo Gong; A. K. Qin 001 (Expert Syst. Appl., 2026)

SynerNet: Broad-to-precise CAM synergy for weakly supervised semantic segmentation. - Zhonggai Wang; Guangyu Gao; Zhuoshu Li; Alex Kai Qin (Neural Networks, 2026)

AutoSGRL: Automated framework construction for self-supervised graph representation learning. - Yu Xie 009; Yu Chang; Ming Li 065; A. K. Qin 001; Xialei Zhang (Neural Networks, 2026)

Affinity maximization learning for unsupervised deep visual graph matching. - Yuan Xie 006; Yiming Zhang; Zhe Li 015; Wenjian Wang; A. K. Qin 001; Ming Li 065 (Pattern Recognit., 2026)

A self-evolving multi-role collaborative framework with fine-grained difficulty guidance for innovative mathematical problem generation. - Yifei Sun 004; Yongan Li; A. K. Qin 001; Sicheng Hou; Tamas Pflanzner (CoRR, 2026)

Sparse Unmixing Guided Adversarial Attack for Hyperspectral Image Classification. - Hao Li 009; Kelin Dang; Maoguo Gong; A. K. Qin 001; Yu Zhou 051; Yue Wu 004; Lining Xing 001 (IEEE Trans. Circuits Syst. Video Technol., 2026)

Many-Problem Surrogates for Transfer Evolutionary Multiobjective Optimization With Sparse Transfer Stacking. - Hao Li 009; Fanggao Wan; Maoguo Gong; A. K. Qin 001; Yue Wu 004; Lining Xing 001 (IEEE Trans. Evol. Comput., 2026)

Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data. - Yuanqiao Zhang; Tiantian He 001; Yuan Gao 019; Yixin Wang 009; Yew-Soon Ong; Maoguo Gong; A. K. Qin 001; Hui Li 006 (CoRR, 2026)

Semi-Supervised Hyperspectral Adaptive Band Selection Based on Evolutionary Multitasking. - Jiao Shi; Nan Zhang; Yu Lei 002; A. K. Qin 001; Maoguo Gong (IEEE Trans. Emerg. Top. Comput. Intell., 2026)

Privacy-Preserving Evolutionary Multitasking Optimization: Models and Attacks [Research Frontier]. - Hao Li 009; Jingying Li; Maoguo Gong; A. K. Qin 001; Yue Wu 004; Lining Xing 001 (IEEE Comput. Intell. Mag., 2026)

On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach. - Jiahui Bai; Hai Dong; Alex Kai Qin (CoRR, 2026)

Privacy-Enhanced Offline Data-Driven Evolutionary Optimization Based on Cloud Server. - Hao Li 009; Zhibin Xu; Maoguo Gong; A. K. Qin 001; Yue Wu 004; Lining Xing 001; Yu Zhou 051 (IEEE Trans. Evol. Comput., 2026)

Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing. - Ziru Niu; Hai Dong; A. K. Qin 001; Tao Gu 001; Pengcheng Zhang 001 (IEEE Trans. Mob. Comput., 2026)