Követés
Lina Yao
Lina Yao
Science Lead at CSIRO Data61 & Professor at University of New South Wales, Australia
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
38342019
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
L Bai, L Yao, C Li, X Wang, C Wang
NeurIPS 2020, 2020
13982020
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
1115*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
8082021
Quaternion Knowledge Graph Embedding
QL Shuai Zhang, Yi Tay, Lina Yao
Advances in Neural Information Processing Systems (NeurIPS), pp. 2731-2741, 2019
634*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
459*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
3742019
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
3512019
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
3072019
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
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
247*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
2452015
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
2122017
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
2042015
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
1972021
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
F Yuan, L Yao, B Benatallah
IJCAI 2019, 2019
1962019
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
1952019
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
M Dong, F Yuan, L Yao, X Xu, L Zhu
KDD 2020, 2020
1902020
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20