Xiangyu Chang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 48

Top Topics

Directed Networks

Statistical Estimation

Gaussian Kernels

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Comput. Stat. Data Anal.

IEEE Trans. Cybern.

Publications

Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
Plug-and-Play Transformer Modules for Test-Time Adaptation. CoRR (2024)
Xiao Guo, Hai Zhang, Xiangyu Chang
On the efficacy of higher-order spectral clustering under weighted stochastic block models. Comput. Stat. Data Anal. 190 (2024)
Xiangyu Chang, Rui Zhang, Jianxiao Mao, Yuguang Fu
Digital Twins in Transportation Infrastructure: An Investigation of the Key Enabling Technologies, Applications, and Challenges. IEEE Trans. Intell. Transp. Syst. 25 (7) (2024)
Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. CoRR (2024)
Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
FLASH: Federated Learning Across Simultaneous Heterogeneities. CoRR (2024)
Mengmeng Wu, Zhihong Liu, Xiang Li, Ruoxi Jia, Xiangyu Chang
Uncertainty Quantification of Data Shapley via Statistical Inference. CoRR (2024)
Shao-Bo Lin, Xiangyu Chang, Xingping Sun
Kernel Interpolation of High Dimensional Scattered Data. SIAM J. Numer. Anal. 62 (3) (2024)
Wenqing Su, Xiao Guo, Xiangyu Chang, Ying Yang
Spectral co-clustering in multi-layer directed networks. Comput. Stat. Data Anal. 198 (2024)
Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
2D-Shapley: A Framework for Fragmented Data Valuation. ICML (2023)
Haishan Ye, Chaoyang He, Xiangyu Chang
Accelerated Distributed Approximate Newton Method. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak
FedYolo: Augmenting Federated Learning with Pretrained Transformers. CoRR (2023)
Yushu Yan, Xiangyu Chang, Basak Guler, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Ananthram Swami
Federated Learning for Massive MIMO Power Allocation. ACSSC (2023)
Mengmeng Wu, Ruoxi Jia, Changle Lin, Wei Huang, Xiangyu Chang
Variance reduced Shapley value estimation for trustworthy data valuation. Comput. Oper. Res. 159 (2023)
Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
2D-Shapley: A Framework for Fragmented Data Valuation. CoRR (2023)
Xiao Guo, Xiang Li, Xiangyu Chang, Shujie Ma
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks. CoRR (2023)
Haishan Ye, Dachao Lin, Xiangyu Chang, Zhihua Zhang
Towards explicit superlinear convergence rate for SR1. Math. Program. 199 (1) (2023)
Shuai Liu, Xiao Guo, Shun Qi, Huaning Wang, Xiangyu Chang
Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks. CoRR (2023)
Hao Di, Yi Yang, Haishan Ye, Xiangyu Chang
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population. CoRR (2023)
Zhiyi Zeng, Cong Ma, Xiangyu Chang
Multi-step reward ensemble methods for adaptive stock trading. Expert Syst. Appl. 230 (2023)
Ying Wu, Hanzhong Liu, Kai Ren, Xiangyu Chang
Causal Rule Learning: Enhancing the Understanding of Heterogeneous Treatment Effect via Weighted Causal Rules. CoRR (2023)
Shao-Bo Lin, Jian Fang, Xiangyu Chang
Learning With Selected Features. IEEE Trans. Cybern. 52 (4) (2022)
Hai Zhang, Xiao Guo, Xiangyu Chang
Randomized Spectral Clustering in Large-Scale Stochastic Block Models. J. Comput. Graph. Stat. 31 (3) (2022)
Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang
Statistical Estimation and Online Inference via Local SGD. COLT (2022)
Mengmeng Wu, Ruoxi Jia, Changle Lin, Wei Huang, Xiangyu Chang
Robust Data Valuation via Variance Reduced Data Shapley. CoRR (2022)
Shuai Liu, Yixuan Qiu, Baojuan Li, Huaning Wang, Xiangyu Chang
Learning Multitask Gaussian Bayesian Networks. CoRR (2022)
Ying Wu, Shuai Huang, Xiangyu Chang
Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Yi Yang, Ying Wu, Xiangyu Chang, Mei Li
Towards a Fairness-Aware Scoring System for Algorithmic Decision-Making. CoRR (2021)
Ameer Hamza Shakur, Shuai Huang, Xiaoning Qian, Xiangyu Chang
SURVFIT: Doubly sparse rule learning for survival data. J. Biomed. Informatics 117 (2021)
Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. AAAI (2021)
Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang
Statistical Estimation and Inference via Local SGD in Federated Learning. CoRR (2021)
Yi Yang, Yuxuan Guo, Xiangyu Chang
Angle-based cost-sensitive multicategory classification. Comput. Stat. Data Anal. 156 (2021)
Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang
Privacy-Preserving Distributed SVD via Federated Power. CoRR (2021)
Yi Yang, Shuai Huang, Wei Huang, Xiangyu Chang
Privacy-Preserving Cost-Sensitive Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. CoRR (2020)
Xiangyu Chang, Shao-Bo Lin
Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms. CoRR (2020)
Shao-Bo Lin, Xiangyu Chang, Xingping Sun
Kernel Interpolation of High Dimensional Scattered Data. CoRR (2020)
Hai Zhang, Xiao Guo, Xiangyu Chang
Randomized Spectral Clustering in Large-Scale Stochastic Block Models. CoRR (2020)
Yi Yang, Yuxuan Guo, Xiangyu Chang
Angle-Based Cost-Sensitive Multicategory Classification. CoRR (2020)
Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
Randomized spectral co-clustering for large-scale directed networks. CoRR (2020)
Xiangyu Chang, Yan Zhong, Yao Wang, Shaobo Lin
Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. AAAI (2018)
Xiangyu Chang, Shaobo Lin, Ding-Xuan Zhou
Distributed Semi-supervised Learning with Kernel Ridge Regression. J. Mach. Learn. Res. 18 (2017)
Shaobo Lin, Jinshan Zeng, Xiangyu Chang
Learning Rates for Classification with Gaussian Kernels. Neural Comput. 29 (12) (2017)
Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. CoRR (2017)
Xiangyu Chang, Qingnan Wang, Yuewen Liu, Yu Wang
Sparse Regularization in Fuzzy c-Means for High-Dimensional Data Clustering. IEEE Trans. Cybern. 47 (9) (2017)
Shaobo Lin, Jinshan Zeng, Xiangyu Chang
Learning rates for classification with Gaussian kernels. CoRR (2017)
Qihui Xia, Xi Zhao, Qiang Tu E. Philip, Xiangyu Chang, Wei Huang
An Empirical Research on Technostress Creators and End-User Performance: the Mediating Roles of Affective Attitudes. PACIS (2016)
Xiangyu Chang, Shaobo Lin, Yao Wang
Divide and Conquer Local Average Regression. CoRR (2016)
Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu
Folded-concave penalization approaches to tensor completion. Neurocomputing 152 (2015)
Yu Wang, Jinshan Zeng, Zhimin Peng, Xiangyu Chang, Zongben Xu
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing. IEEE Trans. Signal Process. 63 (11) (2015)
Xiangyu Chang, Yu Wang, Rongjian Li, Zongben Xu
Penalty for High-Dimensional Data Clustering. CoRR (2014)
Yu Wang, Xiangyu Chang, Rongjian Li, Zongben Xu
Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering. ICDM (2013)
Zongben Xu, Xiangyu Chang, Fengmin Xu, Hai Zhang
Regularization: A Thresholding Representation Theory and a Fast Solver. IEEE Trans. Neural Networks Learn. Syst. 23 (7) (2012)
Shaobo Lin, Feilong Cao, Xiangyu Chang, Zongben Xu
A general radial quasi-interpolation operator on the sphere. J. Approx. Theory 164 (10) (2012)
Bin Zou, Zongben Xu, Xiangyu Chang
Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains. Adv. Comput. Math. 36 (1) (2012)
Peter Bickel, David Choi, Xiangyu Chang, Hai Zhang
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels CoRR (2012)
Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang
Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. Int. J. Wavelets Multiresolution Inf. Process. 9 (4) (2011)
Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang
regularization. Sci. China Inf. Sci. 53 (6) (2010)