Követés
Lina Yao
Lina Yao
Senior Principal Research Scientist at CSIRO Data61, Full Professor at UNSW
E-mail megerősítve itt: csiro.au - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
24012019
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
690*2018
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
L Bai, L Yao, C Li, X Wang, C Wang
NeurIPS 2020, 2020
4042020
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
3712021
Quaternion Knowledge Graph Embedding
QL Shuai Zhang, Yi Tay, Lina Yao
Advances in Neural Information Processing Systems (NeurIPS), pp. 2731-2741, 2019
365*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
287*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
2502019
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
2362019
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
2072015
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
206*2018
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
2012020
Next Item Recommendation with Self-Attentive Metric Learning
S Zhang, Y Tay, L Yao, A Sun, J An
AAAI workshop 2019 (RecNLP), 2019
181*2019
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
1802015
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
1712017
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
1682019
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
D Zhang, L Yao, X Zhang, S Wang, W Chen, R Boots
The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), 2018
1422018
Recommending web services via combining collaborative filtering with content-based features
L Yao, QZ Sheng, A Segev, J Yu
2013 IEEE 20th International Conference on Web Services, 42-49, 2013
1362013
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
124*2020
Context-aware point-of-interest recommendation using tensor factorization with social regularization
L Yao, QZ Sheng, Y Qin, X Wang, A Shemshadi, Q He
Proceedings of the 38th international ACM SIGIR conference on research and …, 2015
1202015
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
1142019
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Cikkek 1–20