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Multi-Party Dual Learning


Apr 14, 2021
Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong

* submitted to IEEE Transactions on Cybernetics 

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Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework


Apr 14, 2021
Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. K. Qin

* submitted to IEEE Transactions on Neural Networks and Learning Systems 

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Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink


Mar 11, 2021
Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He

* Accepted to CVPR2021 

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Learning Vehicle Routing Problems using Policy Optimisation


Dec 24, 2020
Nasrin Sultana, Jeffrey Chan, A. K. Qin, Tabinda Sarwar


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Learning to Optimise General TSP Instances


Nov 03, 2020
Nasrin Sultana, Jeffrey Chan, A. K. Qin, Tabinda Sarwar


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Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations


Oct 12, 2020
Wenfeng Liu, Maoguo Gong, Zedong Tang, A. K. Qin

* 18 pages 

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A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization


Jul 02, 2020
Boyu Zhang, A. K. Qin, Hong Pan, Timos Sellis

* Accepted by the 2020 International Joint Conference on Neural Networks (IJCNN 2020) 

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PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors


Jul 02, 2020
Ziqiang Li, Hong Pan, Yaping Zhu, A. K. Qin

* Accepted by the 2020 International Joint Conference on Neural Networks (IJCNN 2020) 

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DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition


Jun 13, 2020
Ziming Liu, Guangyu Gao, A. K. Qin, Jinyang Li


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Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles


Mar 08, 2020
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang


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Location-Centered House Price Prediction: A Multi-Task Learning Approach


Jan 07, 2019
Guangliang Gao, Zhifeng Bao, Jie Cao, A. K. Qin, Timos Sellis, Fellow, IEEE, Zhiang Wu

* Submitted to IEEE TKDE 

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Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results


Jun 12, 2017
Bingshui Da, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao


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Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results


Jun 08, 2017
Yuan Yuan, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi

* 11 pages, 5 pages, technical report 

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