Xiangyu Chang

According to our database, Xiangyu Chang authored at least 46 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the efficacy of higher-order spectral clustering under weighted stochastic block models.

Xiao Guo, Hai Zhang, Xiangyu Chang

Comput. Stat. Data Anal., February, 2024

FLASH: Federated Learning Across Simultaneous Heterogeneities.

Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury

CoRR, 2024

Plug-and-Play Transformer Modules for Test-Time Adaptation.

Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury

CoRR, 2024

2023

Accelerated Distributed Approximate Newton Method.

Haishan Ye, Chaoyang He, Xiangyu Chang

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Multi-step reward ensemble methods for adaptive stock trading.

Zhiyi Zeng, Cong Ma, Xiangyu Chang

Expert Syst. Appl., November, 2023

Variance reduced Shapley value estimation for trustworthy data valuation.

Mengmeng Wu, Ruoxi Jia, Changle Lin, Wei Huang, Xiangyu Chang

Comput. Oper. Res., November, 2023

Towards explicit superlinear convergence rate for SR1.

Haishan Ye, Dachao Lin, Xiangyu Chang, Zhihua Zhang

Math. Program., May, 2023

PPFL: A Personalized Federated Learning Framework for Heterogeneous Population.

Hao Di, Yi Yang, Haishan Ye, Xiangyu Chang

CoRR, 2023

Causal Rule Learning: Enhancing the Understanding of Heterogeneous Treatment Effect via Weighted Causal Rules.

Ying Wu, Hanzhong Liu, Kai Ren, Xiangyu Chang

CoRR, 2023

FedYolo: Augmenting Federated Learning with Pretrained Transformers.

Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak

CoRR, 2023

Privacy-Preserving Community Detection for Locally Distributed Multiple Networks.

Xiao Guo, Xiang Li, Xiangyu Chang, Shujie Ma

CoRR, 2023

Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks.

Shuai Liu, Xiao Guo, Shun Qi, Huaning Wang, Xiangyu Chang

CoRR, 2023

2D-Shapley: A Framework for Fragmented Data Valuation.

Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia

Proceedings of the International Conference on Machine Learning, 2023

Federated Learning for Massive MIMO Power Allocation.

Yushu Yan, Xiangyu Chang, Basak Guler, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Ananthram Swami

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Randomized Spectral Clustering in Large-Scale Stochastic Block Models.

Hai Zhang, Xiao Guo, Xiangyu Chang

J. Comput. Graph. Stat., July, 2022

Learning With Selected Features.

Shao-Bo Lin, Jian Fang, Xiangyu Chang

IEEE Trans. Cybern., 2022

Robust Data Valuation via Variance Reduced Data Shapley.

Mengmeng Wu, Ruoxi Jia, Changle Lin, Wei Huang, Xiangyu Chang

CoRR, 2022

Learning Multitask Gaussian Bayesian Networks.

Shuai Liu, Yixuan Qiu, Baojuan Li, Huaning Wang, Xiangyu Chang

CoRR, 2022

Statistical Estimation and Online Inference via Local SGD.

Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Privacy-Preserving Cost-Sensitive Learning.

Yi Yang, Shuai Huang, Wei Huang, Xiangyu Chang

IEEE Trans. Neural Networks Learn. Syst., 2021

Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study.

Ying Wu, Shuai Huang, Xiangyu Chang

BMC Medical Informatics Decis. Mak., 2021

SURVFIT: Doubly sparse rule learning for survival data.

Ameer Hamza Shakur, Shuai Huang, Xiaoning Qian, Xiangyu Chang

J. Biomed. Informatics, 2021

Angle-based cost-sensitive multicategory classification.

Yi Yang, Yuxuan Guo, Xiangyu Chang

Comput. Stat. Data Anal., 2021

Towards a Fairness-Aware Scoring System for Algorithmic Decision-Making.

Yi Yang, Ying Wu, Xiangyu Chang, Mei Li

CoRR, 2021

Statistical Estimation and Inference via Local SGD in Federated Learning.

Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang

CoRR, 2021

Privacy-Preserving Distributed SVD via Federated Power.

Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang

CoRR, 2021

Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks.

Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Kernel Interpolation of High Dimensional Scattered Data.

Shao-Bo Lin, Xiangyu Chang, Xingping Sun

CoRR, 2020

Randomized spectral co-clustering for large-scale directed networks.

Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang

CoRR, 2020

2019

Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation.

Xiangyu Chang, Yan Zhong, Yao Wang, Shaobo Lin

IEEE Trans. Neural Networks Learn. Syst., 2019

2018

Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion.

Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Sparse Regularization in Fuzzy c-Means for High-Dimensional Data Clustering.

Xiangyu Chang, Qingnan Wang, Yuewen Liu, Yu Wang

IEEE Trans. Cybern., 2017

Learning Rates for Classification with Gaussian Kernels.

Shaobo Lin, Jinshan Zeng, Xiangyu Chang

Neural Comput., 2017

Distributed Semi-supervised Learning with Kernel Ridge Regression.

Xiangyu Chang, Shaobo Lin, Ding-Xuan Zhou

J. Mach. Learn. Res., 2017

2016

Divide and Conquer Local Average Regression.

Xiangyu Chang, Shaobo Lin, Yao Wang

CoRR, 2016

An Empirical Research on Technostress Creators and End-User Performance: the Mediating Roles of Affective Attitudes.

Qihui Xia, Xi Zhao, Qiang Tu E. Philip, Xiangyu Chang, Wei Huang

Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016

2015

Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing.

Yu Wang, Jinshan Zeng, Zhimin Peng, Xiangyu Chang, Zongben Xu

IEEE Trans. Signal Process., 2015

Folded-concave penalization approaches to tensor completion.

Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu

Neurocomputing, 2015

2014

Sparse K-Means with ℓ_∞/ℓ₀ Penalty for High-Dimensional Data Clustering.

Xiangyu Chang, Yu Wang, Rongjian Li, Zongben Xu

CoRR, 2014

2013

Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering.

Yu Wang, Xiangyu Chang, Rongjian Li, Zongben Xu

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

L_1/2 Regularization: A Thresholding Representation Theory and a Fast Solver.

Zongben Xu, Xiangyu Chang, Fengmin Xu, Hai Zhang

IEEE Trans. Neural Networks Learn. Syst., 2012

A general radial quasi-interpolation operator on the sphere.

Shaobo Lin, Feilong Cao, Xiangyu Chang, Zongben Xu

J. Approx. Theory, 2012

Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels

Peter J. Bickel, David Choi, Xiangyu Chang, Hai Zhang

CoRR, 2012

Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains.

Bin Zou, Zongben Xu, Xiangyu Chang

Adv. Comput. Math., 2012

2011

Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality.

Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang

Int. J. Wavelets Multiresolution Inf. Process., 2011

2010

<i>L</i>_1/2 regularization.

Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang

Sci. China Inf. Sci., 2010