Author

Lina Yao

Senior Principal Research Scientist at CSIRO Data61, Conjoint Professor at UNSW and MQ - Cited by 13,268 - Machine Learning - Information Retrieval - Reinforcement Learning - Recommender Systems - Brain Computer Interface

Biography

Lina Yao  is affiliated to Teon Therapeutics, Inc, 555 Twin Dolphin Dr Suite 120, Redwood City, CA 94065, USA. she is a recipient of many awards and grants for her valuable contributions and discoveries in major area of subject research. Her international experience includes various programs, contributions and participation in different countries for diverse fields of study. Her research interests reflect in her wide range of publications in various national and international journals.   
Title
Cited by
Year
Deep reinforcement learning in recommender systems: A survey and new perspectives
X Chen, L Yao, J McAuley, G Zhou, X WangKnowledge-Based Systems 264, 110335, 202334202
34
2023
The neural process family: Survey, applications and perspectives
S Jha, D Gong, X Wang, RE Turner, L YaoarXiv preprint arXiv:2209.00517, 2022202
8
2022
A survey on participant selection for federated learning in mobile networks
B Soltani, V Haghighi, A Mahmood, QZ Sheng, L YaoProceedings of the 17th ACM Workshop on Mobility in the Evolving Internet …, 2022202
5
2022
Attentional gated Res2Net for multivariate time series classification
C Yang, X Wang, L Yao, G Long, J Jiang, G XuNeural Processing Letters 55 (2), 1371-1395, 2023202
4
2023
Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification
X Wang, L Yao, I Rekik, Y ZhangInternational Conference on Medical Image Computing and Computer-Assisted …, 20224202
4
2022
Disentangled and side-aware unsupervised domain adaptation for cross-dataset subjective tinnitus diagnosis
Y Li, Z Liu, L Yao, JJM Monaghan, D McAlpineIEEE Journal of Biomedical and Health Informatics 27 (1), 538-59, 2022202
4
2022
On the opportunity of causal deep generative models: A survey and future directions
G Zhou, L Yao, X Xu, C Wang, L Zhu, K ZhangarXiv preprint arXiv:201.1251, 20220
3
2023
Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control parameters in …
Y Zhu, B Lian, Y Wang, C Miller, C Bales, J Fletcher, L Yao, TD WaiteWater Research 227, 11949, 2022202
3
2022
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods
D Zhang, S Pan, T Hoang, Z Xing, M Staples, X Xu, L Yao, Q Lu, L ZhuAAAI 202 Spring Symposium Series AI Trustworthiness Assessment, arXiv …, 20220
3
2023
Artificial intelligence in public health: the potential of epidemic early warning systems
CR MacIntyre, X Chen, M Kunasekaran, A Quigley, S Lim, H Stone, ...Journal of International Medical Research 51 (), 0000605211595, 20220
3
2023
When object detection meets knowledge distillation: A survey
Z Li, P Xu, X Chang, L Yang, Y Zhang, L Yao, X ChenIEEE Transactions on Pattern Analysis and Machine Intelligence, 20220
3
2023
Side-aware meta-learning for cross-dataset listener diagnosis with subjective tinnitus
Z Liu, Y Li, L Yao, M Lucas, JJM Monaghan, Y ZhangIEEE Transactions on Neural Systems and Rehabilitation Engineering 0, 252-261, 2022202
3
2022
Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning
Y Li, Z Liu, X Chang, J McAuley, L YaoIEEE Transactions on Multimedia, 20232202
2
2023
Contrastive individual treatment effects estimation
X Li, L Yao0 IEEE International Conference on Data Mining (ICDM), 1053-1058, 0
2
2022
Social graph transformer networks for pedestrian trajectory prediction in complex social scenarios
Y Liu, L Yao, B Li, X Wang, C SammutProceedings of the 31st ACM International Conference on Information …, 0
2
2022
Learning to infer counterfactuals: Meta-learning for estimating multiple imbalanced treatment effects
G Zhou, L Yao, X Xu, C Wang, L ZhuarXiv preprint arXiv:08.06748, 0
2
2022
Intent-aware interactive Internet of Things for enhanced collaborative ambient intelligence
C Huang, L Yao, X Wang, QZ Sheng, S Dustdar, Z Wang, X XuIEEE Internet Computing 6 (5), 68-75, 0
2
2022
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
C Huang, S Wang, X Wang, L YaoProceedings of the ACM Web Conference 03, 15-163, 030
2
2023
Simple Primitives with Feasibility-and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
Z Liu, Y Li, L Yao, X Chang, W Fang, X Wu, Y YangarXiv preprint arXiv:22.02895, 2022202
1
2022
Uncertainty Estimation With Neural Processes for Meta-Continual Learning
X Wang, L Yao, X Wang, HY Paik, S WangIEEE Transactions on Neural Networks and Learning Systems, 2022202
1
2022

Referred From: https://scholar.google.com/citations?user=EU3snBgAAAAJ&hl=en

Cited by
Citations 13268
h-index 53
i10-index 171
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