Lina Yao

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

Ikuti

Lina Yao

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

Email yang diverifikasi di csiro.au - Beranda

Deep Learning Generative AI Reinforcement Learning Recommender Systems Brain Computer Interface


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	3868	2019
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting L Bai, L Yao, C Li, X Wang, C Wang NeurIPS 2020, 2020	1460	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	1120*	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	830	2021
Quaternion Knowledge Graph Embedding QL Shuai Zhang, Yi Tay, Lina Yao Advances in Neural Information Processing Systems (NeurIPS), pp. 2731-2741, 2019	643*	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	469*	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	381	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	353	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	294*	2018
Next Item Recommendation with Self-Attentive Metric Learning S Zhang, Y Tay, L Yao, A Sun, J An AAAI workshop 2019 (RecNLP), 2019	283*	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	267*	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	252*	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	244	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	213	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	207	2015
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns F Yuan, L Yao, B Benatallah IJCAI 2019, 2019	200	2019
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	196	2021
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	196	2019
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation M Dong, F Yuan, L Yao, X Xu, L Zhu KDD 2020, 2020	194	2020

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