フォロー
ZHIQIANG XU
ZHIQIANG XU
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
確認したメール アドレス: mbzuai.ac.ae
タイトル
引用先
引用先
A model-based approach to attributed graph clustering
Z Xu, Y Ke, Y Wang, H Cheng, J Cheng
Proceedings of the 2012 ACM SIGMOD international conference on management of …, 2012
4202012
GBAGC: A general Bayesian framework for attributed graph clustering
Z Xu, Y Ke, Y Wang, H Cheng, J Cheng
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (1), 1-43, 2014
852014
Agile and accurate CTR prediction model training for massive-scale online advertising systems
Z Xu, D Li, W Zhao, X Shen, T Huang, X Li, P Li
Proceedings of the 2021 international conference on management of data, 2404 …, 2021
442021
Effective and efficient spectral clustering on text and link data
Z Xu, Y Ke
Proceedings of the 25th ACM International on Conference on Information and …, 2016
242016
Efficient attribute-constrained co-located community search
J Luo, X Cao, X Xie, Q Qu, Z Xu, CS Jensen
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1201-1212, 2020
232020
Towards better generalization of adaptive gradient methods
Y Zhou, B Karimi, J Yu, Z Xu, P Li
Advances in Neural Information Processing Systems 33, 810-821, 2020
202020
Convergence analysis of gradient descent for eigenvector computation
Z Xu, X Cao, X Gao
International Joint Conferences on Artificial Intelligence, 2018
172018
Towards practical alternating least-squares for CCA
Z Xu, P Li
Advances in Neural Information Processing Systems 32, 2019
152019
Group representation theory for knowledge graph embedding
C Cai, Y Cai, M Sun, Z Xu
arXiv preprint arXiv:1909.05100, 2019
132019
On truly block eigensolvers via riemannian optimization
Z Xu, X Gao
International Conference on Artificial Intelligence and Statistics, 168-177, 2018
122018
A practical Riemannian algorithm for computing dominant generalized Eigenspace
Z Xu, P Li
Conference on Uncertainty in Artificial Intelligence, 819-828, 2020
112020
Gradient descent meets shift-and-invert preconditioning for eigenvector computation
Z Xu
Advances in Neural Information Processing Systems 31, 2018
112018
Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering
Z Xu, J Cheng, X Xiao, R Fujimaki, Y Muraoka
Knowledge and Information Systems 53, 239-268, 2017
102017
Unsupervised video domain adaptation: A disentanglement perspective
P Wei, L Kong, X Qu, X Yin, Z Xu, J Jiang, Z Ma
arXiv preprint arXiv:2208.07365, 2022
82022
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
Guanren Qiao, Guiliang Liu, Pascal Poupart, Zhiqiang Xu
Thirty-seventh Conference on Neural Information Processing Systems, 2023, 2023
6*2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun ...
Thirty-seventh Conference on Neural Information Processing Systems, 2023, 2023
6*2023
Stochastic variance reduced Riemannian eigensolver
Z Xu, Y Ke
arXiv preprint arXiv:1605.08233, 2016
62016
Faster noisy power method
Z Xu, P Li
International Conference on Algorithmic Learning Theory, 1138-1164, 2022
52022
A comprehensively tight analysis of gradient descent for PCA
Z Xu, P Li
Advances in Neural Information Processing Systems 34, 21935-21946, 2021
52021
On the riemannian search for eigenvector computation
Z Xu, P Li
Journal of Machine Learning Research 22 (249), 1-46, 2021
52021
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20