Tianyu Gao
Tianyu Gao
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Hybrid attention-based prototypical networks for noisy few-shot relation classification
T Gao, X Han, Z Liu, M Sun
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6407-6414, 2019
412019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
T Gao, X Han, H Zhu, Z Liu, P Li, M Sun, J Zhou
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
172019
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
X Han, T Gao, Y Yao, D Ye, Z Liu, M Sun
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
162019
KEPLER: A unified model for knowledge embedding and pre-trained language representation
X Wang, T Gao, Z Zhu, Z Liu, J Li, J Tang
arXiv preprint arXiv:1911.06136, 2019
152019
Neural Snowball for Few-Shot Relation Learning.
T Gao, X Han, R Xie, Z Liu, F Lin, L Lin, M Sun
AAAI, 7772-7779, 2020
62020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
X Han, T Gao, Y Lin, H Peng, Y Yang, C Xiao, Z Liu, P Li, M Sun, J Zhou
arXiv preprint arXiv:2004.03186, 2020
42020
Continual relation learning via episodic memory activation and reconsolidation
X Han, Y Dai, T Gao, Y Lin, Z Liu, P Li, M Sun, J Zhou
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
22020
Modeling and simulation of uav carrier landings
G Misra, T Gao, X Bai
AIAA Scitech 2019 Forum, 1981, 2019
22019
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou
arXiv preprint arXiv:2010.01923, 2020
2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
M Qu, T Gao, LPAC Xhonneux, J Tang
arXiv preprint arXiv:2007.02387, 2020
2020
Calibration of atmospheric density model based on Gaussian Processes
T Gao, H Peng, X Bai
Acta Astronautica 168, 273-281, 2020
2020
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Articles 1–11