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Xingjian Shi
Xingjian Shi
Boson AI
Verified email at connect.ust.hk - Homepage
Title
Cited by
Cited by
Year
Convolutional LSTM network: A machine learning approach for precipitation nowcasting
X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo
Advances in neural information processing systems 28, 2015
86712015
Deep learning for precipitation nowcasting: A benchmark and a new model
X Shi, Z Gao, L Lausen, H Wang, DY Yeung, W Wong, W Woo
Advances in neural information processing systems 30, 2017
8242017
Gaan: Gated attention networks for learning on large and spatiotemporal graphs
J Zhang, X Shi, J Xie, H Ma, I King, DY Yeung
arXiv preprint arXiv:1803.07294, 2018
7072018
Dynamic key-value memory networks for knowledge tracing
J Zhang, X Shi, I King, DY Yeung
Proceedings of the 26th international conference on World Wide Web, 765-774, 2017
5882017
Star-gcn: Stacked and reconstructed graph convolutional networks for recommender systems
J Zhang, X Shi, S Zhao, I King
arXiv preprint arXiv:1905.13129, 2019
2252019
Spatiotemporal modeling for crowd counting in videos
F Xiong, X Shi, DY Yeung
Proceedings of the IEEE international conference on computer vision, 5151-5159, 2017
2212017
Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing
J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ...
The Journal of Machine Learning Research 21 (1), 845-851, 2020
2082020
Relational stacked denoising autoencoder for tag recommendation
H Wang, X Shi, DY Yeung
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
1582015
Collaborative recurrent autoencoder: Recommend while learning to fill in the blanks
H Wang, X Shi, DY Yeung
Advances in Neural Information Processing Systems 29, 2016
1212016
Machine learning for spatiotemporal sequence forecasting: A survey
X Shi, DY Yeung
arXiv preprint arXiv:1808.06865, 2018
1122018
Relational deep learning: A deep latent variable model for link prediction
H Wang, X Shi, DY Yeung
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
782017
Natural-parameter networks: A class of probabilistic neural networks
H Wang, X Shi, DY Yeung
Advances in neural information processing systems 29, 2016
782016
Earthformer: Exploring space-time transformers for earth system forecasting
Z Gao, X Shi, H Wang, Y Zhu, YB Wang, M Li, DY Yeung
Advances in Neural Information Processing Systems 35, 25390-25403, 2022
702022
Symbolic music generation with transformer-gans
A Muhamed, L Li, X Shi, S Yaddanapudi, W Chi, D Jackson, R Suresh, ...
Proceedings of the AAAI conference on artificial intelligence 35 (1), 408-417, 2021
602021
Benchmarking multimodal automl for tabular data with text fields
X Shi, J Mueller, N Erickson, M Li, AJ Smola
arXiv preprint arXiv:2111.02705, 2021
46*2021
Visual prompt tuning for test-time domain adaptation
Y Gao, X Shi, Y Zhu, H Wang, Z Tang, X Zhou, M Li, DN Metaxas
arXiv preprint arXiv:2210.04831, 2022
382022
Removing batch normalization boosts adversarial training
H Wang, A Zhang, S Zheng, X Shi, M Li, Z Wang
International Conference on Machine Learning, 23433-23445, 2022
322022
Distributed stochastic ADMM for matrix factorization
ZQ Yu, XJ Shi, L Yan, WJ Li
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
302014
Parameter-Efficient Fine-Tuning Design Spaces
J Chen, A Zhang, X Shi, M Li, A Smola, D Yang
arXiv preprint arXiv:2301.01821, 2023
222023
XTab: Cross-table Pretraining for Tabular Transformers
B Zhu, X Shi, N Erickson, M Li, G Karypis, M Shoaran
arXiv preprint arXiv:2305.06090, 2023
212023
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Articles 1–20