Xiangyu Chang
Orcid: 0000-0001-9225-0477
According to our database1,
Xiangyu Chang
authored at least 58 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2010
2012
2014
2016
2018
2020
2022
2024
0
5
10
15
11
10
4
7
1
3
1
2
1
4
1
1
5
2
1
1
1
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Mach. Learn., December, 2024
Digital Twins in Transportation Infrastructure: An Investigation of the Key Enabling Technologies, Applications, and Challenges.
IEEE Trans. Intell. Transp. Syst., July, 2024
On the efficacy of higher-order spectral clustering under weighted stochastic block models.
Comput. Stat. Data Anal., February, 2024
Comput. Stat. Data Anal., 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the IEEE Military Communications Conference, 2024
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Expert Syst. Appl., November, 2023
Comput. Oper. Res., November, 2023
J. Mach. Learn. Res., 2023
CoRR, 2023
Causal Rule Learning: Enhancing the Understanding of Heterogeneous Treatment Effect via Weighted Causal Rules.
CoRR, 2023
CoRR, 2023
Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
J. Comput. Graph. Stat., July, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study.
BMC Medical Informatics Decis. Mak., 2021
Comput. Stat. Data Anal., 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Cybern., 2017
J. Mach. Learn. Res., 2017
2016
An Empirical Research on Technostress Creators and End-User Performance: the Mediating Roles of Affective Attitudes.
Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016
2015
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing.
IEEE Trans. Signal Process., 2015
2014
Sparse K-Means with ℓ<sub>∞</sub>/ℓ<sub>0</sub> Penalty for High-Dimensional Data Clustering.
CoRR, 2014
2013
Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
L<sub>1/2</sub> Regularization: A Thresholding Representation Theory and a Fast Solver.
IEEE Trans. Neural Networks Learn. Syst., 2012
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels
CoRR, 2012
Adv. Comput. Math., 2012
2011
Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality.
Int. J. Wavelets Multiresolution Inf. Process., 2011
2010