Lina Yao

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	すべて	2020 年以来
引用	21897	19292
h 指標	63	56
i10 指標	244	213

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59 件の論文

27 件の論文

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共著者

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

フォロー

Lina Yao

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

確認したメールアドレス: csiro.au - ホームページ

Deep Learning Generative AI Reinforcement Learning Recommender Systems Brain Computer Interface


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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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