Obserwuj
Yaqing Wang
Yaqing Wang
Research Scientist, Google Deepmind
Zweryfikowany adres z google.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Eann: Event adversarial neural networks for multi-modal fake news detection
Y Wang, F Ma, Z Jin, Y Yuan, G Xun, K Jha, L Su, J Gao
KDD 2018, 2018
11052018
Towards environment independent device free human activity recognition
W Jiang, C Miao, F Ma, S Yao, Y Wang, Y Yuan, H Xue, C Song, X Ma, ...
Proceedings of the 24th annual international conference on mobile computing …, 2018
5282018
Weak supervision for fake news detection via reinforcement learning
Y Wang, W Yang, F Ma, J Xu, B Zhong, Q Deng, J Gao
AAAI 2020, 2020
1752020
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
Y Wang, S Agarwal, S Mukherjee, X Liu, J Gao, AH Awadallah, J Gao
EMNLP 2022, 2022
159*2022
Meta Self-training for few-shot neural sequence labeling
Y Wang, S Mukherjee, H Chu, Y Tu, M Wu, J Gao, AH Awadallah
KDD 2021, 2021
1142021
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
XL Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ...
KDD 2020, 2020
902020
Muvan: A multi-view attention network for multivariate temporal data
Y Yuan, G Xun, F Ma, Y Wang, N Du, K Jia, L Su, A Zhang
2018 IEEE International Conference on Data Mining (ICDM), 717-726, 2018
812018
Multimodal Emergent Fake News Detection via Meta Neural Process Networks
Y Wang, F Ma, H Wang, K Jha, J Gao
KDD 2021, 3708–3716, 2021
582021
MeSHProbeNet: a self-attentive probe net for MeSH indexing
G Xun, K Jha, Y Yuan, Y Wang, A Zhang
Bioinformatics 35 (19), 3794-3802, 2019
542019
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths
M Ye, S Cui, Y Wang, J Luo, C Xiao, F Ma
WWW 2021, 2021
522021
A hybrid self-attention deep learning framework for multivariate sleep stage classification
Y Yuan, K Jia, F Ma, G Xun, Y Wang, L Su, A Zhang
BMC bioinformatics 20, 1-10, 2019
452019
Outlier weighed layerwise sparsity (owl): A missing secret sauce for pruning llms to high sparsity
L Yin, Y Wu, Z Zhang, CY Hsieh, Y Wang, Y Jia, G Li, A Jaiswal, ...
arXiv preprint arXiv:2310.05175, 2023
422023
Learning from language description: Low-shot named entity recognition via decomposed framework
Y Wang, H Chu, C Zhang, J Gao
arXiv preprint arXiv:2109.05357, 2021
412021
A general framework for diagnosis prediction via incorporating medical code descriptions
F Ma, Y Wang, H Xiao, Y Yuan, R Chitta, J Zhou, J Gao
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
382018
Interpretable word embeddings for medical domain
K Jha, Y Wang, G Xun, A Zhang
ICDM 2018, 1061-1066, 2018
352018
Teach LLMs to Personalize--An Approach inspired by Writing Education
C Li, M Zhang, Q Mei, Y Wang, SA Hombaiah, Y Liang, M Bendersky
arXiv preprint arXiv:2308.07968, 2023
342023
Hypothesis generation from text based on co-evolution of biomedical concepts
K Jha, G Xun, Y Wang, A Zhang
KDD 2019, 2019
302019
Fedcon: A contrastive framework for federated semi-supervised learning
Z Long, J Wang, Y Wang, H Xiao, F Ma
arXiv preprint arXiv:2109.04533, 2021
282021
Concepts-bridges: Uncovering conceptual bridges based on biomedical concept evolution
K Jha, G Xun, Y Wang, V Gopalakrishnan, A Zhang
KDD 2018, 2018
242018
Discovering truths from distributed data
Y Wang, F Ma, L Su, J Gao
ICDM 2017, 2017
242017
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