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ORCIDA. Kai Qin
Alex Kai Qin
Person information
- affiliation: Swinburne University of Technology, Department of Computer Science and Software Engineering, Australia
- affiliation: RMIT University, Melbourne, Australia
- affiliation (PhD 2001): Nanyang Technology University, Singapore
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2020 – today
- 2023
[j72]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)- [j71]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: 121-131 (2023) - [j70]Li Yan, Wenlong Qi, A. Kai Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang:
Manifold clustering-based prediction for dynamic multiobjective optimization. Swarm Evol. Comput. 77: 101254 (2023) - [j69]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multiparty Dual Learning. IEEE Trans. Cybern. 53(5): 2955-2968 (2023) - [j68]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): 6222-6235 (2023) - [j67]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: 1-16 (2023) - [j66]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): 1952-1964 (2023) - [j65]Prabath Abeysekara, Hai Dong, A. Kai Qin:
Data-Driven Trust Prediction in Mobile Edge Computing-Based IoT Systems. IEEE Trans. Serv. Comput. 16(1): 246-260 (2023) - [j64]Prabath Abeysekara, Hai Dong, A. Kai Qin:
Edge Intelligence for Real-Time IoT Service Trust Prediction. IEEE Trans. Serv. Comput. 16(4): 2606-2619 (2023) - [c72]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: 739-742 - [c71]David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, A. Kai Qin:
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract). ICDE 2023: 3795-3796 - [c70]Bo Wang, A. Kai Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska:
Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. IJCNN 2023: 1-7 - [i26]David Alexander Tedjopurnomo, Farhana Murtaza Choudhury, A. Kai Qin:
TrafFormer: A Transformer Model for Predicting Long-term Traffic. CoRR abs/2302.12388 (2023) - [i25]Bo Wang, A. Kai Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska:
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. CoRR abs/2307.03920 (2023) - [i24]Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. Kai Qin:
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration. CoRR abs/2307.14019 (2023) - 2022
- [j63]Colin Jacobs, Karl Glazebrook, Alex Kai Qin, Thomas Collett:
Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe. Astron. Comput. 38: 100535 (2022) - [j62]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin:
Learning to optimise general TSP instances. Int. J. Mach. Learn. Cybern. 13(8): 2213-2228 (2022) - [j61]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): 1580 (2022) - [j60]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): 5427-5437 (2022) - [j59]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): 5790-5802 (2022) - [j58]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): 6599-6614 (2022) - [j57]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): 6745-6758 (2022) - [j56]Hao Xu, Alex Kai Qin, Siyu Xia:
Evolutionary Multitask Optimization With Adaptive Knowledge Transfer. IEEE Trans. Evol. Comput. 26(2): 290-303 (2022) - [j55]Yuxiao Huang, Liang Feng, Alex Kai Qin, Meng Chen, Kay Chen Tan:
Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. IEEE Trans. Evol. Comput. 26(3): 585-598 (2022) - [j54]Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, Alex Kai Qin:
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 300-314 (2022) - [j53]Maoguo Gong, Fenlong Jiang, Alex Kai Qin, Tongfei Liu, Tao Zhan, Di Lu, Hanhong Zheng, Mingyang Zhang:
A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j52]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: 1-20 (2022) - [j51]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): 32:1-32:25 (2022) - [j50]David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, Alex Kai Qin:
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges. IEEE Trans. Knowl. Data Eng. 34(4): 1544-1561 (2022) - [j49]Maoguo Gong, Shunfei Ji, Yu Xie, Yuan Gao, Alex Kai Qin:
Exploring Temporal Information for Dynamic Network Embedding. IEEE Trans. Knowl. Data Eng. 34(8): 3754-3764 (2022) - [j48]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): 4257-4270 (2022) - [j47]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): 769-785 (2022) - [c69]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: 278-288 - [c68]Binyan Hu, Yu Sun, A. Kai Qin:
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks. IJCNN 2022: 1-8 - [c67]Hui Song, A. Kai Qin, Chenggang Yan:
Multi-task Optimization Based Co-training for Electricity Consumption Prediction. IJCNN 2022: 1-8 - [i23]Binyan Hu, Yu Sun, Alex Kai Qin:
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks. CoRR abs/2205.14606 (2022) - [i22]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Alex Kai Qin:
Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems. CoRR abs/2205.15656 (2022) - [i21]Hui Song, Alex Kai Qin, Chenggang Yan:
Multi-task Optimization Based Co-training for Electricity Consumption Prediction. CoRR abs/2205.15663 (2022) - [i20]Prabath Abeysekara, Hai Dong, A. Kai Qin:
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges. CoRR abs/2210.12944 (2022) - 2021
- [j46]Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. Kai Qin:
Graph embedding via multi-scale graph representations. Inf. Sci. 578: 102-115 (2021) - [j45]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: 108-120 (2021) - [j44]Puhua Chen, Lei Guo, Xiangrong Zhang, Alex Kai Qin, Wentao Ma, Licheng Jiao:
Attention-Guided Siamese Fusion Network for Change Detection of Remote Sensing Images. Remote. Sens. 13(22): 4597 (2021) - [j43]Liang Feng, Lei Zhou, Abhishek Gupta, Jinghui Zhong, Zexuan Zhu, Kay Chen Tan, Alex Kai Qin:
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. IEEE Trans. Cybern. 51(6): 3171-3184 (2021) - [j42]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): 894-912 (2021) - [j41]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): 77:1-77:26 (2021) - [j40]Yuan Gao, Maoguo Gong, Yu Xie, Alex Kai Qin:
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection. IEEE Trans. Multim. 23: 784-796 (2021) - [j39]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): 420-434 (2021) - [c66]Xun Zhou, A. Kai Qin, Yanan Sun, Kay Chen Tan:
A Survey of Advances in Evolutionary Neural Architecture Search. CEC 2021: 950-957 - [c65]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: 16062-16071 - [c64]Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin, Yuan He:
AdvDrop: Adversarial Attack to DNNs by Dropping Information. ICCV 2021: 7486-7495 - [c63]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin:
Learning to Optimise Routing Problems using Policy Optimisation. IJCNN 2021: 1-8 - [i19]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 abs/2103.06504 (2021) - [i18]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin:
An attention-based unsupervised adversarial model for movie review spam detection. CoRR abs/2104.00955 (2021) - [i17]Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. Kai Qin:
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. CoRR abs/2104.06670 (2021) - [i16]Maoguo Gong, Yuan Gao, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. CoRR abs/2104.06677 (2021) - [i15]Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin, Yuan He:
AdvDrop: Adversarial Attack to DNNs by Dropping Information. CoRR abs/2108.09034 (2021) - [i14]Hui Song, A. Kai Qin, Flora D. Salim:
Evolutionary Ensemble Learning for Multivariate Time Series Prediction. CoRR abs/2108.09659 (2021) - [i13]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Babak Abbasi, A. Kai Qin:
Learning Enhanced Optimisation for Routing Problems. CoRR abs/2109.08345 (2021) - [i12]Maoguo Gong, Yuan Gao, Yue Wu, A. Kai Qin:
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning. CoRR abs/2110.15522 (2021) - 2020
- [j38]Ziming Liu, Jinyang Li, Guangyu Gao, Alex Kai Qin:
Temporal Memory Network Towards Real-Time Video Understanding. IEEE Access 8: 223837-223847 (2020) - [j37]Maoguo Gong, Yu Xie, Ke Pan, Kaiyuan Feng, Alex Kai Qin:
A Survey on Differentially Private Machine Learning [Review Article]. IEEE Comput. Intell. Mag. 15(2): 49-64 (2020) - [j36]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: 105578 (2020) - [j35]Hui Song, A. Kai Qin, Flora D. Salim:
Evolutionary model construction for electricity consumption prediction. Neural Comput. Appl. 32(16): 12155-12172 (2020) - [j34]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: 131-141 (2020) - [j33]Ngoc Tran, Jean-Guy Schneider, Ingo Weber, A. Kai Qin:
Hyper-parameter optimization in classification: To-do or not-to-do. Pattern Recognit. 103: 107245 (2020) - [j32]Xiaolong Zheng, A. Kai Qin, Maoguo Gong, Deyun Zhou:
Self-Regulated Evolutionary Multitask Optimization. IEEE Trans. Evol. Comput. 24(1): 16-28 (2020) - [j31]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): 876-890 (2020) - [j30]Guoqi Li, Fei Zeng, Huiqi Li, Alex Kai Qin:
Matrix Function Optimization Problems Under Orthonormal Constraint. IEEE Trans. Syst. Man Cybern. Syst. 50(3): 802-814 (2020) - [c62]Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang:
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. CVPR 2020: 997-1005 - [c61]Prabath Abeysekara, Hai Dong, A. Kai Qin:
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. IJCNN 2020: 1-8 - [c60]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: 1-8 - [c59]Boyu Zhang, A. Kai Qin, Hong Pan, Timos Sellis:
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. IJCNN 2020: 1-8 - [i11]Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang:
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles. CoRR abs/2003.08757 (2020) - [i10]Prabath Abeysekara, Hai Dong, A. Kai Qin:
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments. CoRR abs/2006.04122 (2020) - [i9]Ziming Liu, Guangyu Gao, A. Kai Qin, Jinyang Li:
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition. CoRR abs/2006.07609 (2020) - [i8]Ziqiang Li, Hong Pan, Yaping Zhu, A. Kai Qin:
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors. CoRR abs/2007.01001 (2020) - [i7]Boyu Zhang, A. Kai Qin, Hong Pan, Timos Sellis:
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization. CoRR abs/2007.01016 (2020) - [i6]Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin:
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations. CoRR abs/2010.05404 (2020) - [i5]Nasrin Sultana, Jeffrey Chan, A. Kai Qin:
Learning to Optimise General TSP Instances. CoRR abs/2010.12214 (2020) - [i4]Nasrin Sultana, Jeffrey Chan, A. Kai Qin, Tabinda Sarwar:
Learning Vehicle Routing Problems using Policy Optimisation. CoRR abs/2012.13269 (2020)
2010 – 2019
- 2019
- [j29]Yeqing Ren, Youqiang Sun, Di Wu, Zhihua Cui, Alex Kai Qin:
A New Makeup Transfer with Super-resolution. Aust. J. Intell. Inf. Process. Syst. 16(2): 59-68 (2019) - [j28]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: 265-281 (2019) - [j27]Yu Xie, Maoguo Gong, A. Kai Qin, Zedong Tang, Xiaolong Fan:
TPNE: Topology preserving network embedding. Inf. Sci. 504: 20-31 (2019) - [j26]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: 196-208 (2019) - [j25]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: 1-2 (2019) - [j24]Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, Alex Kai Qin:
Evolutionary Multitasking via Explicit Autoencoding. IEEE Trans. Cybern. 49(9): 3457-3470 (2019) - [j23]Xinle Liang, A. Kai Qin, Ke Tang, Kay Chen Tan:
QoS-Aware Web Service Selection with Internal Complementarity. IEEE Trans. Serv. Comput. 12(2): 276-289 (2019) - [c58]Chen Jin, Pei-Wei Tsai, A. Kai Qin:
A Study on Knowledge Reuse Strategies in Multitasking Differential Evolution. CEC 2019: 1564-1571 - [c57]Xiaolong Zheng, Yu Lei, A. Kai Qin, Deyun Zhou, Jiao Shi, Maoguo Gong:
Differential Evolutionary Multi-task Optimization. CEC 2019: 1914-1921 - [c56]Hui Song, A. Kai Qin, Pei-Wei Tsai, Jing J. Liang:
Multitasking Multi-Swarm Optimization. CEC 2019: 1937-1944 - [c55]Prabath Abeysekara, Hai Dong, A. Kai Qin:
Machine Learning-Driven Trust Prediction for MEC-Based IoT Services. ICWS 2019: 188-192 - [c54]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: 583-591 - [c53]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: 1-11 - [i3]Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis, Zhiang Wu:
Location-Centered House Price Prediction: A Multi-Task Learning Approach. CoRR abs/1901.01774 (2019) - 2018
- [j22]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): 5227-5239 (2018) - [j21]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): 545-559 (2018) - [j20]Sajib Mistry, Athman Bouguettaya, Hai Dong, Alex Kai Qin:
Metaheuristic Optimization for Long-term IaaS Service Composition. IEEE Trans. Serv. Comput. 11(1): 131-143 (2018) - [c52]Boyu Zhang, A. Kai Qin, Timos Sellis:
Evolutionary feature subspaces generation for ensemble classification. GECCO 2018: 577-584 - [c51]Hui Song, Alex Kai Qin, Flora D. Salim:
Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction. IJCNN 2018: 1-8 - [c50]Jonathan Liono, Zahraa S. Abdallah, A. Kai Qin, Flora D. Salim:
Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life. MobiQuitous 2018: 342-351 - 2017
- [j19]Lishan Cui, Xiuzhen Zhang, A. Kai Qin, Timos Sellis, Lifang Wu:
CDS: Collaborative distant supervision for Twitter account classification. Expert Syst. Appl. 83: 94-103 (2017) - [j18]Chong Zhang, Pin Lim, A. Kai Qin, Kay Chen Tan:
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2306-2318 (2017) - [c49]Chen Jin, A. Kai Qin:
A GPU-based implementation of brain storm optimization. CEC 2017: 2698-2705 - [c48]Boyu Zhang, A. Kai Qin, Jeffrey Chan:
An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation. ICONIP (2) 2017: 189-197 - [c47]Hui Song, A. Kai Qin, Flora D. Salim:
Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction. ICONIP (5) 2017: 600-609 - [c46]Malagalage Sameera Hemangi Jayaratna, Athman Bouguettaya, Hai Dong, A. Kai Qin, Abdelkarim Erradi:
Subjective Evaluation of Market-Driven Cloud Services. ICWS 2017: 516-523 - [i2]Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi:
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR abs/1706.02766 (2017) - [i1]Bingshui Da, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao:
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. CoRR abs/1706.03470 (2017) - 2016
- [j17]Bo-Yang Qu, B. F. Lang, Jing J. Liang, A. Kai Qin, Oscar D. Crisalle:
Two-hidden-layer extreme learning machine for regression and classification. Neurocomputing 175: 826-834 (2016) - [j16]Maoguo Gong, Yue Wu, Qing Cai, Wenping Ma, A. Kai Qin, Zhenkun Wang, Licheng Jiao:
Discrete particle swarm optimization for high-order graph matching. Inf. Sci. 328: 158-171 (2016) - [j15]