A. K. Qin

223 papers A* 9A 8B 38C 4Misc 1Journal 152Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A self-evolving multi-role collaborative framework with fine-grained difficulty guidance for innovative mathematical problem generation.
CoRR
Yifei Sun, Yongan Li, A. K. Qin, Sicheng Hou, Tamas Pflanzner
2026 J jnl
AutoSGRL: Automated framework construction for self-supervised graph representation learning.
Neural Networks
Yu Xie, Yu Chang, Ming Li, A. K. Qin, Xialei Zhang
2026 J jnl
Many-Problem Surrogates for Transfer Evolutionary Multiobjective Optimization With Sparse Transfer Stacking.
IEEE Trans. Evol. Comput.
Hao Li, Fanggao Wan, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing
2026 J jnl
Privacy-Preserving Evolutionary Multitasking Optimization: Models and Attacks [Research Frontier].
IEEE Comput. Intell. Mag.
Hao Li, Jingying Li, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing
2026 J jnl
Semi-Supervised Hyperspectral Adaptive Band Selection Based on Evolutionary Multitasking.
IEEE Trans. Emerg. Top. Comput. Intell.
Jiao Shi, Nan Zhang, Yu Lei, A. K. Qin, Maoguo Gong
2026 J jnl
Sparse Unmixing Guided Adversarial Attack for Hyperspectral Image Classification.
IEEE Trans. Circuits Syst. Video Technol.
Hao Li, Kelin Dang, Maoguo Gong, A. K. Qin, Yu Zhou, Yue Wu, Lining Xing
2026 J jnl
Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data.
CoRR
Yuanqiao Zhang, Tiantian He, Yuan Gao, Yixin Wang, Yew-Soon Ong, Maoguo Gong, A. K. Qin, Hui Li
2025 J jnl
A Collaborative Network for Multiple Hyperspectral Images Joint Classification.
IEEE Trans. Geosci. Remote. Sens.
Jiao Shi, Chunhui Tan, Hanwen Yu, A. K. Qin, Yu Lei, Maoguo Gong
2025 J jnl
Advertising or adversarial? AdvSign: Artistic advertising sign camouflage for target physical attacking to object detector.
Neural Networks
Guangyu Gao, Zhuocheng Lv, Yan Zhang, A. K. Qin
2025 J jnl
An adaptive strategy based multi-population multi-objective optimization algorithm.
Inf. Sci.
Tianhao Zhao, Linjie Wu, Zhihua Cui, A. K. Qin
2025 J jnl
Bidirectional Stacking Ensemble Curriculum Learning for Hyperspectral Image Imbalanced Classification With Noisy Labels.
IEEE Trans. Geosci. Remote. Sens.
Yixin Wang, Hao Li, Maoguo Gong, Yue Wu, Peiran Gong, A. K. Qin, Lining Xing, Mingyang Zhang
2025 J jnl
Boosting Generalization Performance in Model-Heterogeneous Federated Learning Using Variational Transposed Convolution.
CoRR
Ziru Niu, Hai Dong, A. K. Qin
2025 J jnl
Contrastive Learning Network for Unsupervised Graph Matching.
IEEE Trans. Circuits Syst. Video Technol.
Yu Xie, Lianhang Luo, Tianpei Cao, Bin Yu, A. K. Qin
2025 J jnl
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jiao Shi, Tiancheng Wu, A. K. Qin, Tao Shao, Yu Lei, Gwanggil Jeon
2025 J jnl
Divide-and-Conquer Evolutionary Multitasking Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Hao Li, Guodong Xu, Maoguo Gong, Yue Wu, A. K. Qin, Lining Xing
2025 J jnl
Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing.
CoRR
Ziru Niu, Hai Dong, A. K. Qin, Tao Gu, Pengcheng Zhang
2025 J jnl
Evolutionary Multiobjective Cross-Spectral Adversarial Attacks With Synergistic Patches.
IEEE Trans. Syst. Man Cybern. Syst.
Wencheng Han, Hao Li, Maoguo Gong, Yue Wu, A. K. Qin, Lining Xing, Yu Zhou
2025 J jnl
Evolutionary Neural Architecture Search for Transferable Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Xun Zhou, Songbai Liu, A. K. Qin, Kay Chen Tan
2025 J jnl
Fast Heterogeneous Multiproblem Surrogates for Transfer Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Hao Li, Pu Xiong, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing
2025 J jnl
FedKT: Federated learning with knowledge transfer for non-IID data.
Pattern Recognit.
Wenjie Mao, Bin Yu, Chen Zhang, A. K. Qin, Yu Xie
2025 A* conf
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update.
AAAI
Ziru Niu, Hai Dong, A. K. Qin
2025 B conf
Multi-Task Optimisation-Based Yaw Control For Wind Farm Power Generation.
CEC
NagaSree Keerthi Pujari, A. K. Qin, Kishalay Mitra
2025 J jnl
Multi-scale hierarchical feature fusion network for change detection.
Pattern Recognit.
Hanhong Zheng, Mingyang Zhang, Maoguo Gong, A. K. Qin, Tongfei Liu, Fenlong Jiang
2025 J jnl
Multimodal Semantic Segmentation in Yangtze River Economic Belt: Outcome of the 2024 IEEE WHISPERS MMSeg-YREB Challenge.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jiepan Li, He Huang, Yu Xia, Xian Xu, Yingxin Wu, Qi Guo, Yinhe Liu, Yanfei Zhong, Jeongho Min, Sungbin Son, Hyeonjin Kim, Jaejun Yoo, Gemine Vivone, Chenyu Li, Wei He, Renwei Dian, Hao Liu, Haipeng Wang, Kan Wei, A. K. Qin, Naoto Yokoya, Shutao Li, Jocelyn Chanussot, Danfeng Hong
2025 J jnl
On the Fast Adaptation of Delayed Clients in Decentralized Federated Learning: A Centroid-Aligned Distillation Approach.
CoRR
Jiahui Bai, Hai Dong, A. K. Qin
2025 J jnl
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration.
IEEE Trans. Neural Networks Learn. Syst.
Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. K. Qin
2025 A conf
PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations.
CIKM
Yantong Du, Rui Chen, Xiangyu Zhao, Qilong Han, A. K. Qin
2025 J jnl
Physical Adversarial Background Patch Against Aerial Object Detection Based on Pareto Efficiency.
IEEE Trans. Geosci. Remote. Sens.
Hao Li, Jiachang Li, Maoguo Gong, Haiyue Yu, Kelin Dang, Yu Zhou, A. K. Qin, Yue Wu
2025 J jnl
SPCNet: Deep Self-Paced Curriculum Network Incorporated With Inductive Bias.
IEEE Trans. Neural Networks Learn. Syst.
Yue Zhao, Maoguo Gong, Mingyang Zhang, A. K. Qin, Fenlong Jiang, Jianzhao Li
2025 J jnl
STEAM: Style Transfer Enabled Adversarial Attack With Attention Mechanism on Remote Sensing Image Scene Classification.
IEEE Trans. Circuits Syst. Video Technol.
Tianshi Luo, Hao Li, Maoguo Gong, Yu Zhou, A. K. Qin
2024 J jnl
A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis.
IEEE Trans. Neural Networks Learn. Syst.
Yuan Gao, Maoguo Gong, Yew-Soon Ong, A. K. Qin, Yue Wu, Fei Xie
2024 J jnl
A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels.
IEEE Trans. Geosci. Remote. Sens.
Hao Li, Mingyang Zhang, Ziqi Di, Maoguo Gong, Tianqi Gao, A. K. Qin
2024 J jnl
A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption.
IEEE Trans. Inf. Forensics Secur.
Maoguo Gong, Yuanqiao Zhang, Yuan Gao, A. K. Qin, Yue Wu, Shanfeng Wang, Yihong Zhang
2024 J jnl
An Agent-Based Simulation Approach for Urban Road Pricing Considering the Integration of Autonomous Vehicles With Public Transport.
IEEE Trans. Intell. Transp. Syst.
Sajjad Shafiei, Hussein Dia, Wen Wu, Hanna Grzybowska, A. K. Qin
2024 J jnl
An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting.
CoRR
Qiyuan Zhu, A. K. Qin, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska
2024 J jnl
Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yuheng Liu, Ye Wang, Yifan Zhang, Shaohui Mei, Jiaqi Zou, Zhuohong Li, Fangxiao Lu, Wei He, Hongyan Zhang, Huilin Zhao, Chuan Chen, Cong Xia, Hao Li, Gemine Vivone, Ronny Hänsch, Gülsen Taskin Kaya, Jing Yao, A. K. Qin, Bing Zhang, Jocelyn Chanussot, Danfeng Hong
2024 J jnl
Decentralised Traffic Incident Detection via Network Lasso.
CoRR
Qiyuan Zhu, A. K. Qin, Prabath Abeysekara, Hussein Dia, Hanna Grzybowska
2024 J jnl
Deep Learning for Medical Image Segmentation with Imprecise Annotation.
CoRR
Binyan Hu, A. K. Qin
2024 J jnl
Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images.
IEEE Trans. Neural Networks Learn. Syst.
Yuanqiao Zhang, Maoguo Gong, Yuan Gao, A. K. Qin, Kun Wang, Yi-Ming Lin, Shanfeng Wang
2024 J jnl
Differential privacy in deep learning: A literature survey.
Neurocomputing
Ke Pan, Yew-Soon Ong, Maoguo Gong, Hui Li, A. K. Qin, Yuan Gao
2024 J jnl
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration.
IEEE Trans. Evol. Comput.
Yue Wu, Hangqi Ding, Maoguo Gong, A. K. Qin, Wenping Ma, Qiguang Miao, Kay Chen Tan
2024 — conf
Expert-Adaptive Medical Image Segmentation.
CAI
Binyan Hu, A. K. Qin
2024 J jnl
FAGH: Accelerating Federated Learning with Approximated Global Hessian.
CoRR
Mrinmay Sen, A. K. Qin, Krishna Mohan C
2024 J jnl
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update.
CoRR
Ziru Niu, Hai Dong, A. K. Qin
2024 J jnl
Federated Collaborative Graph Neural Networks for Few-shot Graph Classification.
Mach. Intell. Res.
Yu Xie, Yanfeng Liang, Chao Wen, A. K. Qin, Maoguo Gong
2024 J jnl
Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Yue Zhao, Maoguo Gong, A. K. Qin, Mingyang Zhang, Zhuping Hu, Tianqi Gao, Yan Pu
2024 J jnl
Learning to guide local search optimisation for routing problems.
Oper. Res. Lett.
Nasrin Sultana, Jeffrey Chan, Babak Abbasi, Tabinda Sarwar, A. K. Qin
2024 J jnl
Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery.
IEEE Trans. Evol. Comput.
Yiting Liu, Hao Li, Maoguo Gong, A. K. Qin
2024 J jnl
Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Sha Lu, Eriita G. Jones, Liang Zhao, Yu Sun, A. K. Qin, Jixue Liu, Jiuyong Li, Prabath Abeysekara, Norman Mueller, Simon Oliver, Jim O'Hehir, Stefan Peters
2024 J jnl
Privacy-Enhanced Multitasking Particle Swarm Optimization Based on Homomorphic Encryption.
IEEE Trans. Evol. Comput.
Hao Li, Fanggao Wan, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing
2024 J jnl
RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations.
IEEE Trans. Neural Networks Learn. Syst.
Yue Wu, Yue Zhang, Wenping Ma, Maoguo Gong, Xiaolong Fan, Mingyang Zhang, A. K. Qin, Qiguang Miao
2024 J jnl
Robust Self-Paced Incremental Learning for Multitemporal Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Hao Li, Pengyang Niu, Maoguo Gong, Lining Xing, Yue Wu, A. K. Qin
2024 B conf
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix.
IJCNN
Mrinmay Sen, A. K. Qin, Gayathri C, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman
2024 J jnl
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix.
CoRR
Gayathri C, Mrinmay Sen, A. K. Qin, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman
2024 J jnl
Selective Transfer Based Evolutionary Multitasking Optimization for Change Detection.
IEEE Trans. Emerg. Top. Comput. Intell.
Hao Li, Tianshi Luo, Liwen Liu, Maoguo Gong, Wenyuan Qiao, Fei Xie, A. K. Qin
2024 J jnl
Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding.
IEEE Trans. Multim.
Yue Wu, Jiaming Liu, Maoguo Gong, Peiran Gong, Xiaolong Fan, A. K. Qin, Qiguang Miao, Wenping Ma
2024 J jnl
ShiftAttack: Toward Attacking the Localization Ability of Object Detector.
IEEE Trans. Circuits Syst. Video Technol.
Hao Li, Zeyu Yang, Maoguo Gong, Shiguo Chen, A. K. Qin, Zhenxing Niu, Yue Wu, Yu Zhou
2024 J jnl
Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Hao Li, Dezhong Li, Maoguo Gong, Jianzhao Li, A. K. Qin, Lining Xing, Fei Xie
2024 J jnl
Spectral Knowledge Transfer for Remote Sensing Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Hanhong Zheng, Dongyang Li, Mingyang Zhang, Maoguo Gong, A. K. Qin, Tongfei Liu, Fenlong Jiang
2024 J jnl
Surrogate-Assisted Evolutionary Multiobjective Neural Architecture Search Based on Transfer Stacking and Knowledge Distillation.
IEEE Trans. Evol. Comput.
Kuangda Lyu, Hao Li, Maoguo Gong, Lining Xing, A. K. Qin
2024 J jnl
Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework.
IEEE Trans. Cybern.
Yuan Gao, Yuanqiao Zhang, Maoguo Gong, Qing Cai, Yu Xie, A. K. Qin
2024 J jnl
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation.
CoRR
Binyan Hu, A. K. Qin
2023 A* conf
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract).
ICDE
David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, A. K. Qin
2023 J jnl
DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition.
Neural Networks
Guangyu Gao, Ziming Liu, Guangjun Zhang, Jinyang Li, A. K. Qin
2023 J jnl
Data-Driven Trust Prediction in Mobile Edge Computing-Based IoT Systems.
IEEE Trans. Serv. Comput.
Prabath Abeysekara, Hai Dong, A. K. Qin
2023 J jnl
Deep Fuzzy Variable C-Means Clustering Incorporated With Curriculum Learning.
IEEE Trans. Fuzzy Syst.
Maoguo Gong, Yue Zhao, Hao Li, A. K. Qin, Lining Xing, Jianzhao Li, Yiting Liu, Yuhao Liu
2023 J jnl
Edge Intelligence for Real-Time IoT Service Trust Prediction.
IEEE Trans. Serv. Comput.
Prabath Abeysekara, Hai Dong, A. K. Qin
2023 J jnl
FLrce: Efficient Federated Learning with Relationship-based Client Selection and Early-Stopping Strategy.
CoRR
Ziru Niu, Hai Dong, A. K. Qin, Tao Gu
2023 J jnl
Heterogeneous Multi-Party Learning With Data-Driven Network Sampling.
IEEE Trans. Pattern Anal. Mach. Intell.
Maoguo Gong, Yuan Gao, Yue Wu, Yuanqiao Zhang, A. K. Qin, Yew-Soon Ong
2023 J jnl
Manifold clustering-based prediction for dynamic multiobjective optimization.
Swarm Evol. Comput.
Li Yan, Wenlong Qi, A. K. Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang
2023 J jnl
Multi-Objective Cloud Task Scheduling Optimization Based on Evolutionary Multi-Factor Algorithm.
IEEE Trans. Cloud Comput.
Zhihua Cui, Tianhao Zhao, Linjie Wu, A. K. Qin, Jianwei Li
2023 J jnl
Multi-layer composite autoencoders for semi-supervised change detection in heterogeneous remote sensing images.
Sci. China Inf. Sci.
Jiao Shi, Tiancheng Wu, Hanwen Yu, A. K. Qin, Gwanggil Jeon, Yu Lei
2023 J jnl
Multiparty Dual Learning.
IEEE Trans. Cybern.
Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong
2023 J jnl
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration.
CoRR
Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. K. Qin
2023 J jnl
Propagation Enhanced Neural Message Passing for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng.
Xiaolong Fan, Maoguo Gong, Yue Wu, A. K. Qin, Yu Xie
2023 J jnl
RAFNet: Interdomain Representation Alignment and Fine-Tuning for Image Series Classification.
IEEE Trans. Geosci. Remote. Sens.
Maoguo Gong, Wenyuan Qiao, Hao Li, A. K. Qin, Tianqi Gao, Tianshi Luo, Lining Xing
2023 J jnl
Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification.
IEEE Trans. Neural Networks Learn. Syst.
Maoguo Gong, Hui Zhou, A. K. Qin, Wenfeng Liu, Zhongying Zhao
2023 J jnl
Semisupervised Graph Neural Networks for Graph Classification.
IEEE Trans. Cybern.
Yu Xie, Yanfeng Liang, Maoguo Gong, A. K. Qin, Yew-Soon Ong, Tiantian He
2023 J jnl
TrafFormer: A Transformer Model for Predicting Long-term Traffic.
CoRR
David Alexander Tedjopurnomo, Farhana Murtaza Choudhury, A. K. Qin
2023 B conf
Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction.
IJCNN
Bo Wang, A. K. Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska
2023 J jnl
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction.
CoRR
Bo Wang, A. K. Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska
2022 B conf
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks.
IJCNN
Binyan Hu, Yu Sun, A. K. Qin
2022 J jnl
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks.
CoRR
Binyan Hu, Yu Sun, A. K. Qin
2022 J jnl
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System.
IEEE Trans. Cybern.
Zedong Tang, Maoguo Gong, Yue Wu, A. K. Qin, Kay Chen Tan
2022 J jnl
A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Maoguo Gong, Fenlong Jiang, A. K. Qin, Tongfei Liu, Tao Zhan, Di Lu, Hanhong Zheng, Mingyang Zhang
2022 J jnl
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges.
IEEE Trans. Knowl. Data Eng.
David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, A. K. Qin
2022 J jnl
An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity Optimization.
IEEE Trans. Circuits Syst. Video Technol.
Kaiyuan Feng, Xia Fei, Maoguo Gong, A. K. Qin, Hao Li, Yue Wu
2022 J jnl
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images.
IEEE Trans. Neural Networks Learn. Syst.
Yue Wu, Jiaheng Li, Yongzhe Yuan, A. K. Qin, Qiguang Miao, Maoguo Gong
2022 J jnl
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges.
CoRR
Prabath Abeysekara, Hai Dong, A. K. Qin
2022 J jnl
Deep Image Inpainting With Enhanced Normalization and Contextual Attention.
IEEE Trans. Circuits Syst. Video Technol.
Jia Liu, Maoguo Gong, Zedong Tang, A. K. Qin, Hao Li, Fenlong Jiang
2022 — conf
Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore.
FAccT
David Alexander Tedjopurnomo, Zhifeng Bao, Farhana Murtaza Choudhury, Hui Luo, A. K. Qin
2022 J jnl
Evolutionary Multitask Optimization With Adaptive Knowledge Transfer.
IEEE Trans. Evol. Comput.
Hao Xu, A. K. Qin, Siyu Xia
2022 J jnl
Exploring Temporal Information for Dynamic Network Embedding.
IEEE Trans. Knowl. Data Eng.
Maoguo Gong, Shunfei Ji, Yu Xie, Yuan Gao, A. K. Qin
2022 J jnl
Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe.
Astron. Comput.
Colin Jacobs, Karl Glazebrook, A. K. Qin, Thomas Collett
2022 J jnl
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos.
IEEE Trans. Circuits Syst. Video Technol.
Sijia Zhang, Maoguo Gong, Yu Xie, A. K. Qin, Hao Li, Yuan Gao, Yew-Soon Ong
2022 J jnl
Learning to optimise general TSP instances.
Int. J. Mach. Learn. Cybern.
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin
2022 J jnl
Location-Centered House Price Prediction: A Multi-Task Learning Approach.
ACM Trans. Intell. Syst. Technol.
Guangliang Gao, Zhifeng Bao, Jie Cao, A. K. Qin, Timos Sellis
2022 J jnl
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, A. K. Qin
2022 B conf
Multi-task Optimization Based Co-training for Electricity Consumption Prediction.
IJCNN
Hui Song, A. K. Qin, Chenggang Yan
2022 J jnl
Multi-task Optimization Based Co-training for Electricity Consumption Prediction.
CoRR
Hui Song, A. K. Qin, Chenggang Yan
2022 J jnl
Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems.
CoRR
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin
2022 J jnl
Semisupervised Adaptive Ladder Network for Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Jiao Shi, Tiancheng Wu, A. K. Qin, Yu Lei, Gwanggil Jeon
2022 J jnl
ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method.
IEEE Trans. Syst. Man Cybern. Syst.
Chunjiang Zhang, A. K. Qin, Weiming Shen, Liang Gao, Kay Chen Tan, Xinyu Li
2021 B conf
A Survey of Advances in Evolutionary Neural Architecture Search.
CEC
Xun Zhou, A. K. Qin, Yanan Sun, Kay Chen Tan
2021 J jnl
A Survey on Evolutionary Construction of Deep Neural Networks.
IEEE Trans. Evol. Comput.
Xun Zhou, A. K. Qin, Maoguo Gong, Kay Chen Tan
2021 J jnl
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning.
CoRR
Maoguo Gong, Yuan Gao, Yue Wu, A. K. Qin
2021 A* conf
AdvDrop: Adversarial Attack to DNNs by Dropping Information.
ICCV
Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. K. Qin, Yuan He
2021 J jnl
AdvDrop: Adversarial Attack to DNNs by Dropping Information.
CoRR
Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. K. Qin, Yuan He
2021 A* conf
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink.
CVPR
Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang
2021 J jnl
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink.
CoRR
Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He
2021 J jnl
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection.
IEEE Trans. Multim.
Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin
2021 J jnl
An attention-based unsupervised adversarial model for movie review spam detection.
CoRR
Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin
2021 J jnl
Evolutionary Ensemble Learning for Multivariate Time Series Prediction.
CoRR
Hui Song, A. K. Qin, Flora D. Salim
2021 J jnl
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation.
IEEE Trans. Neural Networks Learn. Syst.
Maoguo Gong, Jia Liu, A. K. Qin, Kun Zhao, Kay Chen Tan
2021 J jnl
Graph embedding via multi-scale graph representations.
Inf. Sci.
Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. K. Qin
2021 J jnl
Learning Enhanced Optimisation for Routing Problems.
CoRR
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Babak Abbasi, A. K. Qin
2021 B conf
Learning to Optimise Routing Problems using Policy Optimisation.
IJCNN
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin
2021 J jnl
Locality preserving dense graph convolutional networks with graph context-aware node representations.
Neural Networks
Wenfeng Liu, Maoguo Gong, Zedong Tang, A. K. Qin, Kai Sheng, Mingliang Xu
2021 J jnl
Multi-Party Dual Learning.
CoRR
Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong
2021 J jnl
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning.
ACM Trans. Intell. Syst. Technol.
David Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Murtaza Choudhury, A. K. Qin
2021 J jnl
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework.
CoRR
Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. K. Qin
2020 B conf
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization.
IJCNN
Boyu Zhang, A. K. Qin, Hong Pan, Timos Sellis
2020 J jnl
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization.
CoRR
Boyu Zhang, A. K. Qin, Hong Pan, Timos Sellis
2020 J jnl
A Survey on Differentially Private Machine Learning [Review Article].
IEEE Comput. Intell. Mag.
Maoguo Gong, Yu Xie, Ke Pan, Kaiyuan Feng, A. K. Qin
2020 A* conf
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles.
CVPR
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang
2020 J jnl
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles.
CoRR
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang
2020 J jnl
Bipartite Differential Neural Network for Unsupervised Image Change Detection.
IEEE Trans. Neural Networks Learn. Syst.
Jia Liu, Maoguo Gong, A. K. Qin, Kay Chen Tan
2020 J jnl
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition.
CoRR
Ziming Liu, Guangyu Gao, A. K. Qin, Jinyang Li
2020 B conf
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments.
IJCNN
Prabath Abeysekara, Hai Dong, A. K. Qin
2020 J jnl
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments.
CoRR
Prabath Abeysekara, Hai Dong, A. K. Qin
2020 J jnl
Evolutionary model construction for electricity consumption prediction.
Neural Comput. Appl.
Hui Song, A. K. Qin, Flora D. Salim
2020 J jnl
Graph convolutional networks with multi-level coarsening for graph classification.
Knowl. Based Syst.
Yu Xie, Chuanyu Yao, Maoguo Gong, Cheng Chen, A. K. Qin
2020 J jnl
Hyper-parameter optimization in classification: To-do or not-to-do.
Pattern Recognit.
Ngoc Tran, Jean-Guy Schneider, Ingo Weber, A. K. Qin
2020 J jnl
Learning Vehicle Routing Problems using Policy Optimisation.
CoRR
Nasrin Sultana, Jeffrey Chan, A. K. Qin, Tabinda Sarwar
2020 J jnl
Learning to Optimise General TSP Instances.
CoRR
Nasrin Sultana, Jeffrey Chan, A. K. Qin
2020 J jnl
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations.
CoRR
Wenfeng Liu, Maoguo Gong, Zedong Tang, A. K. Qin
2020 J jnl
Matrix Function Optimization Problems Under Orthonormal Constraint.
IEEE Trans. Syst. Man Cybern. Syst.
Guoqi Li, Fei Zeng, Huiqi Li, A. K. Qin
2020 B conf
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors.
IJCNN
Ziqiang Li, Hong Pan, Yaping Zhu, A. K. Qin
2020 J jnl
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors.
CoRR
Ziqiang Li, Hong Pan, Yaping Zhu, A. K. Qin
2020 J jnl
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.
Neural Networks
Maoguo Gong, Ke Pan, Yu Xie, A. K. Qin, Zedong Tang
2020 J jnl
Self-Regulated Evolutionary Multitask Optimization.
IEEE Trans. Evol. Comput.
Xiaolong Zheng, A. K. Qin, Maoguo Gong, Deyun Zhou
2019 J jnl
A New Makeup Transfer with Super-resolution.
Aust. J. Intell. Inf. Process. Syst.
Yeqing Ren, Youqiang Sun, Di Wu, Zhihua Cui, A. K. Qin
2019 B conf
A Study on Knowledge Reuse Strategies in Multitasking Differential Evolution.
CEC
Chen Jin, Pei-Wei Tsai, A. K. Qin
2019 A* conf
Action Recognition with Bootstrapping based Long-range Temporal Context Attention.
ACM Multimedia
Ziming Liu, Guangyu Gao, A. K. Qin, Tong Wu, Chi Harold Liu
2019 J jnl
Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems.
Appl. Soft Comput.
Borhan Kazimipour, Mohammad Nabi Omidvar, A. K. Qin, Xiaodong Li, Xin Yao
2019 B conf
Differential Evolutionary Multi-task Optimization.
CEC
Xiaolong Zheng, Yu Lei, A. K. Qin, Deyun Zhou, Jiao Shi, Maoguo Gong
2019 J jnl
Evolutionary Multitasking via Explicit Autoencoding.
IEEE Trans. Cybern.
Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, A. K. Qin
2019 J jnl
Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation.
Swarm Evol. Comput.
Maoguo Gong, Aimin Zhou, A. K. Qin, Linqiang Pan
2019 A* conf
Improving Experience Sampling with Multi-view User-driven Annotation Prediction.
PerCom
Jonathan Liono, Flora D. Salim, Niels van Berkel, Vassilis Kostakos, A. K. Qin
2019 J jnl
Location-Centered House Price Prediction: A Multi-Task Learning Approach.
CoRR
Guangliang Gao, Zhifeng Bao, Jie Cao, A. K. Qin, Timos Sellis, Zhiang Wu
2019 A conf
Machine Learning-Driven Trust Prediction for MEC-Based IoT Services.
ICWS
Prabath Abeysekara, Hai Dong, A. K. Qin
2019 B conf
Multitasking Multi-Swarm Optimization.
CEC
Hui Song, A. K. Qin, Pei-Wei Tsai, Jing J. Liang
2019 J jnl
QDaS: Quality driven data summarisation for effective storage management in Internet of Things.
J. Parallel Distributed Comput.
Jonathan Liono, Prem Prakash Jayaraman, A. K. Qin, Thuong Nguyen, Flora D. Salim
2019 J jnl
QoS-Aware Web Service Selection with Internal Complementarity.
IEEE Trans. Serv. Comput.
Xinle Liang, A. K. Qin, Ke Tang, Kay Chen Tan
2019 J jnl
TPNE: Topology preserving network embedding.
Inf. Sci.
Yu Xie, Maoguo Gong, A. K. Qin, Zedong Tang, Xiaolong Fan
2018 B conf
Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction.
IJCNN
Hui Song, A. K. Qin, Flora D. Salim
2018 A conf
Evolutionary feature subspaces generation for ensemble classification.
GECCO
Boyu Zhang, A. K. Qin, Timos Sellis
2018 C conf
Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life.
MobiQuitous
Jonathan Liono, Zahraa S. Abdallah, A. K. Qin, Flora D. Salim
2018 J jnl
Metaheuristic Optimization for Long-term IaaS Service Composition.
IEEE Trans. Serv. Comput.
Sajib Mistry, Athman Bouguettaya, Hai Dong, A. K. Qin
2017 B conf
A GPU-based implementation of brain storm optimization.
CEC
Chen Jin, A. K. Qin
2017 — conf
An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation.
ICONIP (2)
Boyu Zhang, A. K. Qin, Jeffrey Chan
2017 J jnl
CDS: Collaborative distant supervision for Twitter account classification.
Expert Syst. Appl.
Lishan Cui, Xiuzhen Zhang, A. K. Qin, Timos Sellis, Lifang Wu
2017 J jnl
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR
Yuan Yuan, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi
2017 J jnl
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR
Bingshui Da, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao
2017 — conf
Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction.
ICONIP (5)
Hui Song, A. K. Qin, Flora D. Salim
2017 J jnl
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics.
IEEE Trans. Neural Networks Learn. Syst.
Chong Zhang, Pin Lim, A. K. Qin, Kay Chen Tan
2016 A conf
A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in Graphs.
GECCO
Angus Kenny, Xiaodong Li, A. K. Qin, Andreas T. Ernst
2016 B conf
A genetics-motivated unsupervised model for tri-subject kinship verification.
ICIP
Junkang Zhang, Si-Yu Xia, Hong Pan, A. K. Qin
2016 J jnl
Discrete particle swarm optimization for high-order graph matching.
Inf. Sci.
Maoguo Gong, Yue Wu, Qing Cai, Wenping Ma, A. K. Qin, Zhenkun Wang, Licheng Jiao
2016 B conf
Multivariate electricity consumption prediction with Extreme Learning Machine.
IJCNN
Hui Song, A. K. Qin, Flora D. Salim
2016 B conf
Node label matching improves classification performance in Deep Belief Networks.
IJCNN
Allan Campbell, Vic Ciesielski, A. K. Qin
2016 C conf
Optimal time window for temporal segmentation of sensor streams in multi-activity recognition.
MobiQuitous
Jonathan Liono, A. K. Qin, Flora D. Salim
2016 A* conf
Private spatial data aggregation in the local setting.
ICDE
Rui Chen, Haoran Li, A. K. Qin, Shiva Prasad Kasiviswanathan, Hongxia Jin
2016 B conf
Robust road detection from a single image.
ICPR
Junkang Zhang, Si-Yu Xia, Kaiyue Lu, Hong Pan, A. K. Qin
2016 J jnl
Robust road detection in shadow conditions.
J. Electronic Imaging
Kaiyue Lu, Siyu Xia, Junkang Zhang, A. K. Qin
2016 B conf
Semi-supervised auto-encoder based on manifold learning.
IJCNN
Yawei Li, Lizuo Jin, A. K. Qin, Changyin Sun, Yew-Soon Ong, Tong Cui
2016 J jnl
Two-hidden-layer extreme learning machine for regression and classification.
Neurocomputing
Bo-Yang Qu, B. F. Lang, Jing J. Liang, A. K. Qin, Oscar D. Crisalle
2015 B conf
A sensitivity analysis of contribution-based cooperative co-evolutionary algorithms.
CEC
Borhan Kazimipour, Mohammad Nabi Omidvar, Xiaodong Li, A. K. Qin
2015 J jnl
Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Lunjun Wan, Ke Tang, Mingzhi Li, Yanfei Zhong, A. K. Qin
2015 C conf
Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images.
EvoMUSART
Allan Campbell, Vic Ciesielski, A. K. Qin
2015 B conf
Local ensemble surrogate assisted crowding differential evolution.
CEC
Chen Jin, A. K. Qin, Ke Tang
2015 A conf
Optimizing Long-term IaaS Service Composition.
ICSOC
Sajib Mistry, Athman Bouguettaya, Hai Dong, A. K. Qin
2015 A conf
Predicting Dynamic Requests Behavior in Long-Term IaaS Service Composition.
ICWS
Sajib Mistry, Athman Bouguettaya, Hai Dong, A. K. Qin
2015 B conf
QoS-aware long-term based service composition in cloud computing.
CEC
Shengcai Liu, Yufan Wei, Ke Tang, A. K. Qin, Xin Yao
2015 Misc conf
Road detection via unsupervised feature learning.
IVCNZ
Siyu Xia, Junkang Zhang, Kaiyue Lu, A. K. Qin
2014 B conf
A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimization.
IEEE Congress on Evolutionary Computation
Borhan Kazimipour, Mohammad Nabi Omidvar, Xiaodong Li, A. K. Qin
2014 B conf
A review of population initialization techniques for evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Borhan Kazimipour, Xiaodong Li, A. K. Qin
2014 B conf
An archive based particle swarm optimisation for feature selection in classification.
IEEE Congress on Evolutionary Computation
Bing Xue, A. K. Qin, Mengjie Zhang
2014 B conf
Effects of population initialization on differential evolution for large scale optimization.
IEEE Congress on Evolutionary Computation
Borhan Kazimipour, Xiaodong Li, A. K. Qin
2014 B conf
Face Clustering in Photo Album.
ICPR
Si-Yu Xia, Hong Pan, A. K. Qin
2014 B conf
Finding convex hull vertices in metric space.
IJCNN
Jinhong Zhong, Ke Tang, A. K. Qin
2014 B conf
Self-adaptive differential evolution with local search chains for real-parameter single-objective optimization.
IEEE Congress on Evolutionary Computation
A. K. Qin, Ke Tang, Hong Pan, Si-Yu Xia
2014 — conf
Why Advanced Population Initialization Techniques Perform Poorly in High Dimension?
SEAL
Borhan Kazimipour, Xiaodong Li, A. K. Qin
2013 B conf
Differential evolution on the CEC-2013 single-objective continuous optimization testbed.
IEEE Congress on Evolutionary Computation
A. K. Qin, Xiaodong Li
2013 B conf
Initialization methods for large scale global optimization.
IEEE Congress on Evolutionary Computation
Borhan Kazimipour, Xiaodong Li, A. K. Qin
2013 J jnl
Input Space Partitioning for Neural Network Learning.
Int. J. Appl. Evol. Comput.
Shujuan Guo, Sheng-Uei Guan, Weifan Li, Ka Lok Man, Fei Liu, A. K. Qin
2013 B conf
Investigation of self-adaptive differential evolution on the CEC-2013 real-parameter single-objective optimization testbed.
IEEE Congress on Evolutionary Computation
A. K. Qin, Xiaodong Li, Hong Pan, Siyu Xia
2013 B conf
Mining heterogeneous class-specific codebook for categorical object detection and classification.
ICIP
Hong Pan, Yaping Zhu, A. K. Qin, Liangzheng Xia
2013 B conf
Sensor-based activity recognition with improved GP-based classifier.
IEEE Congress on Evolutionary Computation
Feng Xie, A. K. Qin, Andy Song, Victor Ciesielski
2012 A conf
An improved CUDA-based implementation of differential evolution on GPU.
GECCO
A. K. Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong
2011 — conf
Dynamic regional harmony search with opposition and local learning.
GECCO (Companion)
A. K. Qin, Florence Forbes
2011 A conf
Harmony search with differential mutation based pitch adjustment.
GECCO
A. K. Qin, Florence Forbes
2010 J jnl
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty.
IEEE Trans. Image Process.
A. K. Qin, David A. Clausi
2009 J jnl
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization.
IEEE Trans. Evol. Comput.
A. K. Qin, Vicky Ling Huang, Ponnuthurai N. Suganthan
2007 B conf
Multi-objective optimization based on self-adaptive differential evolution algorithm.
IEEE Congress on Evolutionary Computation
Vicky Ling Huang, A. K. Qin, Ponnuthurai N. Suganthan, Mehmet Fatih Tasgetiren
2006 J jnl
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions.
IEEE Trans. Evol. Comput.
Jing J. Liang, A. K. Qin, Ponnuthurai N. Suganthan, S. Baskar
2006 — conf
Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis.
ICPR (3)
A. K. Qin, Ponnuthurai N. Suganthan, Marco Loog
2006 J jnl
Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction.
Pattern Recognit.
A. K. Qin, Ponnuthurai N. Suganthan, Marco Loog
2006 J jnl
Performance Evaluation of Multiagent Genetic Algorithm.
Nat. Comput.
Jing J. Liang, S. Baskar, Ponnuthurai N. Suganthan, A. K. Qin
2006 C conf
Personal Identification System based on Multiple Palmprint Features.
ICARCV
A. K. Qin, Ponnuthurai N. Suganthan, C. H. Tay, H. S. Pa
2006 B conf
Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization.
IEEE Congress on Evolutionary Computation
Vicky Ling Huang, A. K. Qin, Ponnuthurai N. Suganthan
2005 A* conf
Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data.
AAAI
A. K. Qin, S. Y. M. Shi, Ponnuthurai N. Suganthan, Marco Loog
2005 J jnl
Enhanced neural gas network for prototype-based clustering.
Pattern Recognit.
A. K. Qin, Ponnuthurai N. Suganthan
2005 J jnl
Evolutionary extreme learning machine.
Pattern Recognit.
Qin-Yu Zhu, A. K. Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang
2005 J jnl
Initialization insensitive LVQ algorithm based on cost-function adaptation.
Pattern Recognit.
A. K. Qin, Ponnuthurai N. Suganthan
2005 J jnl
Linear dimensionality reduction using relevance weighted LDA.
Pattern Recognit.
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao, A. K. Qin
2005 B conf
Self-adaptive differential evolution algorithm for numerical optimization.
Congress on Evolutionary Computation
A. K. Qin, Ponnuthurai N. Suganthan
2005 J jnl
Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion.
Pattern Recognit.
A. K. Qin, Ponnuthurai N. Suganthan, Marco Loog
2004 — conf
A Novel Kernel Prototype-Based Learning Algorithm.
ICPR (4)
A. K. Qin, Ponnuthurai N. Suganthan
2004 — conf
A new generalized LVQ algorithm via harmonic to minimum distance measure transition.
SMC (5)
A. K. Qin, Ponnuthurai N. Suganthan, Jing J. Liang
2004 — conf
Kernel Neural Gas Algorithms with Application to Cluster Analysis.
ICPR (4)
A. K. Qin, Ponnuthurai N. Suganthan
2004 — conf
Particle swarm optimization algorithms with novel learning strategies.
SMC (4)
Jing J. Liang, A. K. Qin, Ponnuthurai N. Suganthan, S. Baskar
2004 J jnl
Robust growing neural gas algorithm with application in cluster analysis.
Neural Networks
A. K. Qin, Ponnuthurai N. Suganthan