A. Kai Qin

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 128

Top Venues

CoRR

IJCNN

CEC

IEEE Trans. Neural Networks Learn. Syst.

Publications

Sha Lu, Eriita G. Jones, Liang Zhao, Yu Sun, A. Kai Qin, Jixue Liu, Jiuyong Li, Prabath Abeysekara, Norman Mueller, Simon Oliver, Jim O'Hehir, Stefan Peters
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. 17 (2024)
Hao Li, Tianshi Luo, Liwen Liu, Maoguo Gong, Wenyuan Qiao, Fei Xie, A. Kai Qin
Selective Transfer Based Evolutionary Multitasking Optimization for Change Detection. IEEE Trans. Emerg. Top. Comput. Intell. 8 (3) (2024)
Binyan Hu, A. Kai Qin
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation. CoRR (2024)
Ke Pan, Yew-Soon Ong, Maoguo Gong, Hui Li, A. Kai Qin, Yuan Gao
Differential privacy in deep learning: A literature survey. Neurocomputing 589 (2024)
Yue Wu, Jiaming Liu, Maoguo Gong, Peiran Gong, Xiaolong Fan, A. Kai Qin, Qiguang Miao, Wenping Ma
Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding. IEEE Trans. Multim. 26 (2024)
Ziru Niu, Hai Dong, A. Kai Qin
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update. CoRR (2024)
Sajjad Shafiei, Hussein Dia, Wen Wu, Hanna Grzybowska, A. Kai Qin
An Agent-Based Simulation Approach for Urban Road Pricing Considering the Integration of Autonomous Vehicles With Public Transport. IEEE Trans. Intell. Transp. Syst. 25 (2) (2024)
Mrinmay Sen, A. Kai Qin, Krishna Mohan C
FAGH: Accelerating Federated Learning with Approximated Global Hessian. CoRR (2024)
Gayathri C, Mrinmay Sen, A. Kai Qin, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix. CoRR (2024)
Yue Zhao, Maoguo Gong, A. Kai Qin, Mingyang Zhang, Zhuping Hu, Tianqi Gao, Yan Pu
Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hao Li, Dezhong Li, Maoguo Gong, Jianzhao Li, A. Kai Qin, Lining Xing, Fei Xie
Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Binyan Hu, A. Kai Qin
Deep Learning for Medical Image Segmentation with Imprecise Annotation. CoRR (2024)
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. Kai Qin, Bing Zhang, Jocelyn Chanussot, Danfeng Hong
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. 17 (2024)
Hao Li, Mingyang Zhang, Ziqi Di, Maoguo Gong, Tianqi Gao, A. Kai Qin
A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yue Wu, Hangqi Ding, Maoguo Gong, A. Kai Qin, Wenping Ma, Qiguang Miao, Kay Chen Tan
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. IEEE Trans. Evol. Comput. 28 (1) (2024)
Maoguo Gong, Yuanqiao Zhang, Yuan Gao, A. Kai Qin, Yue Wu, Shanfeng Wang, Yihong Zhang
A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Qiyuan Zhu, A. Kai Qin, Prabath Abeysekara, Hussein Dia, Hanna Grzybowska
Decentralised Traffic Incident Detection via Network Lasso. CoRR (2024)
Hanhong Zheng, Dongyang Li, Mingyang Zhang, Maoguo Gong, A. Kai Qin, Tongfei Liu, Fenlong Jiang
Spectral Knowledge Transfer for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Xiaolong Fan, Maoguo Gong, Yue Wu, A. Kai Qin, Yu Xie
Propagation Enhanced Neural Message Passing for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yue Wu, Maoguo Gong, Qiguang Miao, A. Kai Qin
Computational Intelligence in Remote Sensing. Remote. Sens. 15 (22) (2023)
Ziru Niu, Hai Dong, A. Kai Qin, Tao Gu
FLrce: Efficient Federated Learning with Relationship-based Client Selection and Early-Stopping Strategy. CoRR (2023)
David Alexander Tedjopurnomo, Farhana Murtaza Choudhury, A. Kai Qin
TrafFormer: A Transformer Model for Prediction Long-term Traffic. CoRR (2023)
Maoguo Gong, Yue Zhao, Hao Li, A. Kai Qin, Lining Xing, Jianzhao Li, Yiting Liu, Yuhao Liu
Deep Fuzzy Variable C-Means Clustering Incorporated With Curriculum Learning. IEEE Trans. Fuzzy Syst. 31 (12) (2023)
Mrinmay Sen, C. Krishna Mohan, A. Kai Qin
Federated Optimization with Linear-Time Approximated Hessian Diagonal. PReMI (2023)
Zhihua Cui, Tianhao Zhao, Linjie Wu, A. Kai Qin, Jianwei Li
Multi-Objective Cloud Task Scheduling Optimization Based on Evolutionary Multi-Factor Algorithm. IEEE Trans. Cloud Comput. 11 (4) (2023)
Zheping Liu, Andy Song, Nasser R. Sabar, Takero Izuhara, A. Kai Qin
Evolution Enhancing Property Price Prediction by Generating Artificial Transaction Data. GECCO Companion (2023)
Yu Xie, Yanfeng Liang, Maoguo Gong, A. Kai Qin, Yew-Soon Ong, Tiantian He
Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. 53 (10) (2023)
Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. Kai Qin
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration. CoRR (2023)
Mrinmay Sen, C. Krishna Mohan, A. Kai Qin
Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction. HPCC/DSS/SmartCity/DependSys (2023)
Maoguo Gong, Wenyuan Qiao, Hao Li, A. Kai Qin, Tianqi Gao, Tianshi Luo, Lining Xing
RAFNet: Interdomain Representation Alignment and Fine-Tuning for Image Series Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Guangyu Gao, Ziming Liu, Guangjun Zhang, Jinyang Li, A. Kai Qin
DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition. Neural Networks 158 (2023)
Jiao Shi, Tiancheng Wu, Hanwen Yu, A. Kai Qin, Gwanggil Jeon, Yu Lei
Multi-layer composite autoencoders for semi-supervised change detection in heterogeneous remote sensing images. Sci. China Inf. Sci. 66 (4) (2023)
Maoguo Gong, Hui Zhou, A. Kai Qin, Wenfeng Liu, Zhongying Zhao
Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong
Multiparty Dual Learning. IEEE Trans. Cybern. 53 (5) (2023)
Prabath Abeysekara, Hai Dong, A. Kai Qin
Edge Intelligence for Real-Time IoT Service Trust Prediction. IEEE Trans. Serv. Comput. 16 (4) (2023)
Prabath Abeysekara, Hai Dong, A. Kai Qin
Data-Driven Trust Prediction in Mobile Edge Computing-Based IoT Systems. IEEE Trans. Serv. Comput. 16 (1) (2023)
Jia Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Hao Li, Fenlong Jiang
Deep Image Inpainting With Enhanced Normalization and Contextual Attention. IEEE Trans. Circuits Syst. Video Technol. 32 (10) (2022)
Chunjiang Zhang, A. Kai Qin, Weiming Shen, Liang Gao, Kay Chen Tan, Xinyu Li
ε-Constrained Differential Evolution Using an Adaptive ε-Level Control Method. IEEE Trans. Syst. Man Cybern. Syst. 52 (2) (2022)
Hui Song, A. Kai Qin, Chenggang Yan
Multi-task Optimization Based Co-training for Electricity Consumption Prediction. IJCNN (2022)
Zedong Tang, Maoguo Gong, Yue Wu, A. Kai Qin, Kay Chen Tan
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. IEEE Trans. Cybern. 52 (7) (2022)
Jiao Shi, Tiancheng Wu, A. Kai Qin, Yu Lei, Gwanggil Jeon
Semisupervised Adaptive Ladder Network for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Kaiyuan Feng, Xia Fei, Maoguo Gong, A. Kai Qin, Hao Li, Yue Wu
An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity Optimization. IEEE Trans. Circuits Syst. Video Technol. 32 (9) (2022)
Prabath Abeysekara, Hai Dong, A. Kai Qin
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges. CoRR (2022)
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin
Learning to optimise general TSP instances. Int. J. Mach. Learn. Cybern. 13 (8) (2022)
Binyan Hu, Yu Sun, A. Kai Qin
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks. IJCNN (2022)
David Alexander Tedjopurnomo, Zhifeng Bao, Farhana Murtaza Choudhury, Hui Luo, A. Kai Qin
Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore. FAccT (2022)
Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis
Location-Centered House Price Prediction: A Multi-Task Learning Approach. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Sijia Zhang, Maoguo Gong, Yu Xie, A. Kai Qin, Hao Li, Yuan Gao, Yew-Soon Ong
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 32 (8) (2022)
Xiangrong Zhang, Ling He, A. Kai Qin, Qi Dang, Hongjie Si, Xu Tang, Licheng Jiao
SMD-Net: Siamese Multi-Scale Difference-Enhancement Network for Change Detection in Remote Sensing. Remote. Sens. 14 (7) (2022)
Yue Wu, Jiaheng Li, Yongzhe Yuan, A. Kai Qin, Qiguang Miao, Maoguo Gong
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin
Learning to Optimise Routing Problems using Policy Optimisation. IJCNN (2021)
Maoguo Gong, Yuan Gao, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong
Multi-Party Dual Learning. CoRR (2021)
Xun Zhou, A. Kai Qin, Maoguo Gong, Kay Chen Tan
A Survey on Evolutionary Construction of Deep Neural Networks. IEEE Trans. Evol. Comput. 25 (5) (2021)
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Babak Abbasi, A. Kai Qin
Learning Enhanced Optimisation for Routing Problems. CoRR (2021)
Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Kai Sheng, Mingliang Xu
Locality preserving dense graph convolutional networks with graph context-aware node representations. Neural Networks 143 (2021)
Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin, Yuan He
AdvDrop: Adversarial Attack to DNNs by Dropping Information. CoRR (2021)
Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. Kai Qin
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. CoRR (2021)
Ranjie Duan, Xiaofeng Mao, A. Kai Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CVPR (2021)
David Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Murtaza Choudhury, A. Kai Qin
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning. ACM Trans. Intell. Syst. Technol. 12 (6) (2021)
Xun Zhou, A. Kai Qin, Yanan Sun, Kay Chen Tan
A Survey of Advances in Evolutionary Neural Architecture Search. CEC (2021)
Maoguo Gong, Jia Liu, A. Kai Qin, Kun Zhao, Kay Chen Tan
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Hui Song, A. Kai Qin, Flora D. Salim
Evolutionary Ensemble Learning for Multivariate Time Series Prediction. CoRR (2021)
Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. Kai Qin
Graph embedding via multi-scale graph representations. Inf. Sci. 578 (2021)
Maoguo Gong, Yuan Gao, Yue Wu, A. Kai Qin
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning. CoRR (2021)
Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin, Yuan He
AdvDrop: Adversarial Attack to DNNs by Dropping Information. ICCV (2021)
Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin
An attention-based unsupervised adversarial model for movie review spam detection. CoRR (2021)
Ranjie Duan, Xiaofeng Mao, A. Kai Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CoRR (2021)
Prabath Abeysekara, Hai Dong, A. Kai Qin
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. IJCNN (2020)
Nasrin Sultana, Jeffrey Chan, A. Kai Qin, Tabinda Sarwar
Learning Vehicle Routing Problems using Policy Optimisation. CoRR (2020)
Yu Xie, Chuanyu Yao, Maoguo Gong, Cheng Chen, A. Kai Qin
Graph convolutional networks with multi-level coarsening for graph classification. Knowl. Based Syst. 194 (2020)
Nasrin Sultana, Jeffrey Chan, A. Kai Qin
Learning to Optimise General TSP Instances. CoRR (2020)
Prabath Abeysekara, Hai Dong, A. Kai Qin
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. CoRR (2020)
Boyu Zhang, A. Kai Qin, Hong Pan, Timos Sellis
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. IJCNN (2020)
Hui Song, A. Kai Qin, Flora D. Salim
Evolutionary model construction for electricity consumption prediction. Neural Comput. Appl. 32 (16) (2020)
Xiaolong Zheng, A. Kai Qin, Maoguo Gong, Deyun Zhou
Self-Regulated Evolutionary Multitask Optimization. IEEE Trans. Evol. Comput. 24 (1) (2020)
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles. CoRR (2020)
Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations. CoRR (2020)
Boyu Zhang, A. Kai Qin, Hong Pan, Timos Sellis
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. CoRR (2020)
Ngoc Tran, Jean-Guy Schneider, Ingo Weber, A. Kai Qin
Hyper-parameter optimization in classification: To-do or not-to-do. Pattern Recognit. 103 (2020)
Maoguo Gong, Ke Pan, Yu Xie, A. Kai Qin, Zedong Tang
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition. Neural Networks 125 (2020)
Jia Liu, Maoguo Gong, A. Kai Qin, Kay Chen Tan
Bipartite Differential Neural Network for Unsupervised Image Change Detection. IEEE Trans. Neural Networks Learn. Syst. 31 (3) (2020)
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. CVPR (2020)
Ziming Liu, Guangyu Gao, A. Kai Qin, Jinyang Li
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition. CoRR (2020)
Ziqiang Li, Hong Pan, Yaping Zhu, A. Kai Qin
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. CoRR (2020)
Ziqiang Li, Hong Pan, Yaping Zhu, A. Kai Qin
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. IJCNN (2020)
Ziming Liu, Guangyu Gao, A. Kai Qin, Tong Wu, Chi Harold Liu
Action Recognition with Bootstrapping based Long-range Temporal Context Attention. ACM Multimedia (2019)
Xinle Liang, A. Kai Qin, Ke Tang, Kay Chen Tan
QoS-Aware Web Service Selection with Internal Complementarity. IEEE Trans. Serv. Comput. 12 (2) (2019)
Borhan Kazimipour, Mohammad Nabi Omidvar, A. Kai Qin, Xiaodong Li, Xin Yao
Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems. Appl. Soft Comput. 76 (2019)
Hui Song, A. Kai Qin, Pei-Wei Tsai, Jing J. Liang
Multitasking Multi-Swarm Optimization. CEC (2019)
Xiaolong Zheng, Yu Lei, A. Kai Qin, Deyun Zhou, Jiao Shi, Maoguo Gong
Differential Evolutionary Multi-task Optimization. CEC (2019)
Prabath Abeysekara, Hai Dong, A. Kai Qin
Machine Learning-Driven Trust Prediction for MEC-Based IoT Services. ICWS (2019)
Jonathan Liono, Flora D. Salim, Niels van Berkel, Vassilis Kostakos, A. Kai Qin
Improving Experience Sampling with Multi-view User-driven Annotation Prediction. PerCom (2019)
Jonathan Liono, Prem Prakash Jayaraman, A. Kai Qin, Thuong Nguyen, Flora D. Salim
QDaS: Quality driven data summarisation for effective storage management in Internet of Things. J. Parallel Distributed Comput. 127 (2019)
Yu Xie, Maoguo Gong, A. Kai Qin, Zedong Tang, Xiaolong Fan
TPNE: Topology preserving network embedding. Inf. Sci. 504 (2019)
Maoguo Gong, Aimin Zhou, A. Kai Qin, Linqiang Pan
Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation. Swarm Evol. Comput. 47 (2019)
Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis, Zhiang Wu
Location-Centered House Price Prediction: A Multi-Task Learning Approach. CoRR (2019)
Chen Jin, Pei-Wei Tsai, A. Kai Qin
A Study on Knowledge Reuse Strategies in Multitasking Differential Evolution. CEC (2019)
Jia Liu, Maoguo Gong, A. Kai Qin, Puzhao Zhang
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. IEEE Trans. Neural Networks Learn. Syst. 29 (3) (2018)
Wei Shao, Thuong Nguyen, A. Kai Qin, Moustafa Youssef, Flora D. Salim
BLEDoorGuard: A Device-Free Person Identification Framework Using Bluetooth Signals for Door Access. IEEE Internet Things J. 5 (6) (2018)
Boyu Zhang, A. Kai Qin, Timos Sellis
Evolutionary feature subspaces generation for ensemble classification. GECCO (2018)

A. Kai Qin.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

A. Kai Qin