Следене
Xiaotao Gu
Xiaotao Gu
Потвърден имейл адрес: illinois.edu - Начална страница
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Позовавания
Позовавания
Година
Accurate medium-range global weather forecasting with 3D neural networks
K Bi, L Xie, H Zhang, X Chen, X Gu, Q Tian
Nature 619 (7970), 533-538, 2023
3492023
Learning named entity tagger using domain-specific dictionary
J Shang, L Liu, X Ren, X Gu, T Ren, J Han
arXiv preprint arXiv:1809.03599, 2018
2552018
OAG: Toward linking large-scale heterogeneous entity graphs
F Zhang, X Liu, J Tang, Y Dong, P Yao, J Zhang, X Gu, Y Wang, B Shao, ...
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
1162019
Pangu-weather: A 3d high-resolution model for fast and accurate global weather forecast
K Bi, L Xie, H Zhang, X Chen, X Gu, Q Tian
arXiv preprint arXiv:2211.02556, 2022
1052022
Learning dynamic context augmentation for global entity linking
X Yang, X Gu, S Lin, S Tang, Y Zhuang, F Wu, Z Chen, G Hu, X Ren
arXiv preprint arXiv:1909.02117, 2019
872019
Generating representative headlines for news stories
X Gu, Y Mao, J Han, J Liu, Y Wu, C Yu, D Finnie, H Yu, J Zhai, N Zukoski
Proceedings of The Web Conference 2020, 1773-1784, 2020
632020
End-to-end reinforcement learning for automatic taxonomy induction
Y Mao, X Ren, J Shen, X Gu, J Han
arXiv preprint arXiv:1805.04044, 2018
562018
Efficient contextualized representation: Language model pruning for sequence labeling
L Liu, X Ren, J Shang, J Peng, J Han
arXiv preprint arXiv:1804.07827, 2018
512018
Learning collaborative agents with rule guidance for knowledge graph reasoning
D Lei, G Jiang, X Gu, K Sun, Y Mao, X Ren
arXiv preprint arXiv:2005.00571, 2020
482020
Large-scale validation of counterfactual learning methods: A test-bed
D Lefortier, A Swaminathan, X Gu, T Joachims, M de Rijke
arXiv preprint arXiv:1612.00367, 2016
472016
On the transformer growth for progressive bert training
X Gu, L Liu, H Yu, J Li, C Chen, J Han
arXiv preprint arXiv:2010.12562, 2020
462020
Ucphrase: Unsupervised context-aware quality phrase tagging
X Gu, Z Wang, Z Bi, Y Meng, L Liu, J Han, J Shang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
332021
Qa-lora: Quantization-aware low-rank adaptation of large language models
Y Xu, L Xie, X Gu, X Chen, H Chang, H Zhang, Z Chen, X Zhang, Q Tian
arXiv preprint arXiv:2309.14717, 2023
292023
Improving distantly-supervised entity typing with compact latent space clustering
B Chen, X Gu, Y Hu, S Tang, G Hu, Y Zhuang, X Ren
arXiv preprint arXiv:1904.06475, 2019
272019
Profiling Web users using big data
X Gu, H Yang, J Tang, J Zhang, F Zhang, D Liu, W Hall, X Fu
Social Network Analysis and Mining 8, 1-17, 2018
182018
Web user profiling using data redundancy
X Gu, H Yang, J Tang, J Zhang
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
102016
A survey on scholar profiling techniques in the open Internet
S Yuan, J Tang, XT Gu
Journal of Computer Research and Development 55 (9), 1903-1919, 2018
92018
Alleviate dataset shift problem in fine-grained entity typing with virtual adversarial training
H Shi, S Tang, X Gu, B Chen, Z Chen, J Shao, X Ren
Proceedings of the Twenty-Ninth International Conference on International …, 2021
82021
Oag: Linking entities across large-scale heterogeneous knowledge graphs
F Zhang, X Liu, J Tang, Y Dong, P Yao, J Zhang, X Gu, Y Wang, ...
IEEE Transactions on Knowledge and Data Engineering, 2022
72022
Towards agi in computer vision: Lessons learned from gpt and large language models
L Xie, L Wei, X Zhang, K Bi, X Gu, J Chang, Q Tian
arXiv preprint arXiv:2306.08641, 2023
42023
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