Lina Yao

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Quan Z. (Michael) ShengDistinguished Professor, School of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.edu.au
Xiaojun ChangDirector of The ReLER Lab and Professor in Artificial Intelligence, University of Technology SydneyVerified email at uts.edu.au
Aixin Sun 孙爱欣NTU SingaporeVerified email at ntu.edu.sg
salil kanhereProfessor, UNSW Sydney, AustraliaVerified email at unsw.edu.au
Yu ZhangLehigh UniversityVerified email at lehigh.edu
Liming ZhuResearch Director at CSIRO’s Data61 & Prof at University of New South WalesVerified email at csiro.au
Julian McAuleyProfessor, UC San DiegoVerified email at eng.ucsd.edu
Yunhao LiuACM Fellow, IEEE Fellow, CCF Fellow, Tsinghua UniversityVerified email at tsinghua.edu.cn
Schahram DustdarProfessor of Computer Science, Member of Academia Europaea, IEEE|EAI|AAIA Fellow, TU Wien, AustriaVerified email at dsg.tuwien.ac.at
Zheng YangIEEE Fellow; Associate Professor; Tsinghua UniversityVerified email at tsinghua.edu.cn
S. Travis WallerLighthouse Prof. & Chair of Transport Modelling and Simulation, TU Dresden and Hon. Prof, ANU & UNSWVerified email at tu-dresden.de
Dong GongUniversity of New South Wales (UNSW)Verified email at unsw.edu.au
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Dietmar JannachUniversity of Klagenfurt, Austria; University of Bergen, NorwayVerified email at aau.at
Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu
Yong LiProfessor, Electronic Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
T. David WaiteProfessor of Environmental Engineering, The University of New South WalesVerified email at unsw.edu.au

Lina Yao

Science Lead at CSIRO Data61 & Professor at University of New South Wales, Australia

Verified email at csiro.au - Homepage

Deep Learning Generative AI Reinforcement Learning Recommender Systems Brain Computer Interface


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Deep Learning based Recommender System: A Survey and New Perspectives S Zhang, L Yao, A Sun, Y Tay ACM Computing Surveys (CSUR) 52 (1), 5, 2019	3850	2019
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting L Bai, L Yao, C Li, X Wang, C Wang NeurIPS 2020, 2020	1413	2020
Adversarially Regularized Graph Autoencoder S Pan, R Hu, G Long, J Jiang, L Yao, C Zhang The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018	1118*	2018
Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities K Chen, D Zhang, L Yao, B Guo, Z Yu, Y Liu ACM Computing Surveys (CSUR) 54 (4), 1-40, 2021	812	2021
Quaternion Knowledge Graph Embedding QL Shuai Zhang, Yi Tay, Lina Yao Advances in Neural Information Processing Systems (NeurIPS), pp. 2731-2741, 2019	637*	2019
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers X Zhang, L Yao, X Wang, J Monaghan, D Mcalpine, Y Zhang Journal of neural engineering 18 (3), 031002, 2021	462*	2021
A semisupervised recurrent convolutional attention model for human activity recognition K Chen, L Yao, D Zhang, X Wang, X Chang, F Nie IEEE transactions on neural networks and learning systems 31 (5), 1747-1756, 2019	375	2019
Making sense of spatio-temporal preserving representations for EEG-based human intention recognition D Zhang, L Yao, K Chen, S Wang, X Chang, Y Liu IEEE transactions on cybernetics 50 (7), 3033-3044, 2019	351	2019
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting L Bai, L Yao, SS Kanhere, X Wang, QZ Sheng IJCAI-19, 2019	308	2019
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Co.... D Zhang, L Yao, X Zhang, R Boots AAAI-18, 2018	295*	2018
Next Item Recommendation with Self-Attentive Metric Learning S Zhang, Y Tay, L Yao, A Sun, J An AAAI workshop 2019 (RecNLP), 2019	278*	2019
Residual attention u-net for automated multi-class segmentation of covid-19 chest ct images X Chen, L Yao, Y Zhang ISMB/ECCB 2021, 2020	268*	2020
The future of false information detection on social media: New perspectives and trends B Guo, Y Ding, L Yao, Y Liang, Z Yu ACM Computing Surveys (CSUR) 53 (4), 1-36, 2020	249*	2020
Unified Collaborative and Content-Based Web Service Recommendation L Yao, QZ Sheng, AHH Ngu, J Yu, A Segev IEEE Transactions on Services Computing 8 (3), 453-466, 2015	245	2015
Autosvd++ an efficient hybrid collaborative filtering model via contractive auto-encoders S Zhang, L Yao, X Xu Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017	212	2017
CloudArmor: Supporting reputation-based trust management for cloud services TH Noor, QZ Sheng, L Yao, S Dustdar, AHH Ngu IEEE transactions on parallel and distributed systems 27 (2), 367-380, 2015	205	2015
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images X Chen, L Yao, T Zhou, J Dong, Y Zhang Pattern recognition 113, 107826, 2021	197	2021
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns F Yuan, L Yao, B Benatallah IJCAI 2019, 2019	196	2019
A convolutional recurrent attention model for subject-independent EEG signal analysis D Zhang, L Yao, K Chen, J Monaghan IEEE signal processing letters 26 (5), 715-719, 2019	195	2019
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation M Dong, F Yuan, L Yao, X Xu, L Zhu KDD 2020, 2020	190	2020

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