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Xiangyu Chang
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2020 – today
- 2024
- [j27]Xiao Guo, Hai Zhang, Xiangyu Chang:
On the efficacy of higher-order spectral clustering under weighted stochastic block models. Comput. Stat. Data Anal. 190: 107872 (2024) - [j26]Wenqing Su, Xiao Guo
, Xiangyu Chang, Ying Yang:
Spectral co-clustering in multi-layer directed networks. Comput. Stat. Data Anal. 198: 107987 (2024) - [j25]Jun Shang, Haishan Ye, Xiangyu Chang:
Accelerated Double-Sketching Subspace Newton. Eur. J. Oper. Res. 319(2): 484-493 (2024) - [j24]Shao-Bo Lin
Kernel Interpolation of High Dimensional Scattered Data. SIAM J. Numer. Anal. 62(3): 1098-1118 (2024) - [j23]Xiangyu Chang
Digital Twins in Transportation Infrastructure: An Investigation of the Key Enabling Technologies, Applications, and Challenges. IEEE Trans. Intell. Transp. Syst. 25(7): 6449-6471 (2024) - [c9]Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang:
Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods. ICML 2024 - [c8]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. ICML 2024 - [i27]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 abs/2401.04130 (2024) - [i26]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 abs/2402.08769 (2024) - [i25]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 abs/2405.17761 (2024) - [i24]Mengmeng Wu, Zhihong Liu, Xiang Li, Ruoxi Jia, Xiangyu Chang:
Uncertainty Quantification of Data Shapley via Statistical Inference. CoRR abs/2407.19373 (2024) - [i23]Yinghui Huang, Zihao Tang, Xiangyu Chang:
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations. CoRR abs/2409.15088 (2024) - [i22]Xi Zheng, Xiangyu Chang, Ruoxi Jia, Yong Tan:
Towards Data Valuation via Asymmetric Data Shapley. CoRR abs/2411.00388 (2024) - 2023
- [j22]Mengmeng Wu, Ruoxi Jia, Changle Lin, Wei Huang, Xiangyu Chang:
Variance reduced Shapley value estimation for trustworthy data valuation. Comput. Oper. Res. 159: 106305 (2023) - [j21]Zhiyi Zeng, Cong Ma
Multi-step reward ensemble methods for adaptive stock trading. Expert Syst. Appl. 230: 120547 (2023) - [j20]Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang:
Randomized Spectral Co-Clustering for Large-Scale Directed Networks. J. Mach. Learn. Res. 24: 380:1-380:68 (2023) - [j19]Haishan Ye, Dachao Lin, Xiangyu Chang
Towards explicit superlinear convergence rate for SR1. Math. Program. 199(1): 1273-1303 (2023) - [j18]Haishan Ye
Accelerated Distributed Approximate Newton Method. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8642-8653 (2023) - [c7]Yushu Yan, Xiangyu Chang, Basak Guler, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Ananthram Swami:
Federated Learning for Massive MIMO Power Allocation. ACSSC 2023: 651-655 - [c6]Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia:
2D-Shapley: A Framework for Fragmented Data Valuation. ICML 2023: 21730-21755 - [i21]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 abs/2301.02423 (2023) - [i20]Zhihong Liu, Hoang Anh Just
2D-Shapley: A Framework for Fragmented Data Valuation. CoRR abs/2306.10473 (2023) - [i19]Xiao Guo, Xiang Li, Xiangyu Chang, Shujie Ma:
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks. CoRR abs/2306.15709 (2023) - [i18]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 abs/2307.04905 (2023) - [i17]Ying Wu, Hanzhong Liu, Kai Ren, Xiangyu Chang:
Causal Rule Learning: Enhancing the Understanding of Heterogeneous Treatment Effect via Weighted Causal Rules. CoRR abs/2310.06746 (2023) - [i16]Hao Di, Yi Yang, Haishan Ye, Xiangyu Chang:
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population. CoRR abs/2310.14337 (2023) - 2022
- [j17]Hai Zhang
Randomized Spectral Clustering in Large-Scale Stochastic Block Models. J. Comput. Graph. Stat. 31(3): 887-906 (2022) - [j16]Shao-Bo Lin
Learning With Selected Features. IEEE Trans. Cybern. 52(4): 2032-2046 (2022) - [c5]Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang:
Statistical Estimation and Online Inference via Local SGD. COLT 2022: 1613-1661 - [i15]Shuai Liu, Yixuan Qiu, Baojuan Li, Huaning Wang, Xiangyu Chang:
Learning Multitask Gaussian Bayesian Networks. CoRR abs/2205.05343 (2022) - [i14]Mengmeng Wu, Ruoxi Jia, Changle Lin, Wei Huang, Xiangyu Chang:
Robust Data Valuation via Variance Reduced Data Shapley. CoRR abs/2210.16835 (2022) - 2021
- [j15]Yi Yang, Yuxuan Guo, Xiangyu Chang:
Angle-based cost-sensitive multicategory classification. Comput. Stat. Data Anal. 156: 107107 (2021) - [j14]Ameer Hamza Shakur
SURVFIT: Doubly sparse rule learning for survival data. J. Biomed. Informatics 117: 103691 (2021) - [j13]Ying Wu
Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study. BMC Medical Informatics Decis. Mak. 21(1): 334 (2021) - [j12]Yi Yang, Shuai Huang
Privacy-Preserving Cost-Sensitive Learning. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2105-2116 (2021) - [c4]Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis:
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. AAAI 2021: 6974-6983 - [i13]Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang:
Privacy-Preserving Distributed SVD via Federated Power. CoRR abs/2103.00704 (2021) - [i12]Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang:
Statistical Estimation and Inference via Local SGD in Federated Learning. CoRR abs/2109.01326 (2021) - [i11]Yi Yang, Ying Wu, Xiangyu Chang, Mei Li:
Towards a Fairness-Aware Scoring System for Algorithmic Decision-Making. CoRR abs/2109.10053 (2021) - 2020
- [i10]Hai Zhang, Xiao Guo, Xiangyu Chang:
Randomized Spectral Clustering in Large-Scale Stochastic Block Models. CoRR abs/2002.00839 (2020) - [i9]Yi Yang, Yuxuan Guo, Xiangyu Chang:
Angle-Based Cost-Sensitive Multicategory Classification. CoRR abs/2003.03691 (2020) - [i8]Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang:
Randomized spectral co-clustering for large-scale directed networks. CoRR abs/2004.12164 (2020) - [i7]Shao-Bo Lin, Xiangyu Chang, Xingping Sun:
Kernel Interpolation of High Dimensional Scattered Data. CoRR abs/2009.01514 (2020) - [i6]Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis:
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. CoRR abs/2012.08749 (2020)
2010 – 2019
- 2019
- [j11]Xiangyu Chang, Yan Zhong, Yao Wang
Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation. IEEE Trans. Neural Networks Learn. Syst. 30(2): 474-485 (2019) - 2018
- [c3]Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang:
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. AAAI 2018: 8147-8148 - 2017
- [j10]Xiangyu Chang, Shaobo Lin, Ding-Xuan Zhou:
Distributed Semi-supervised Learning with Kernel Ridge Regression. J. Mach. Learn. Res. 18: 46:1-46:22 (2017) - [j9]Shaobo Lin, Jinshan Zeng, Xiangyu Chang:
Learning Rates for Classification with Gaussian Kernels. Neural Comput. 29(12) (2017) - [j8]Xiangyu Chang, Qingnan Wang
Sparse Regularization in Fuzzy c-Means for High-Dimensional Data Clustering. IEEE Trans. Cybern. 47(9): 2616-2627 (2017) - [i5]Shaobo Lin, Jinshan Zeng, Xiangyu Chang:
Learning rates for classification with Gaussian kernels. CoRR abs/1702.08701 (2017) - [i4]Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang:
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. CoRR abs/1711.11155 (2017) - 2016
- [c2]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: 196 - [i3]Xiangyu Chang, Shaobo Lin, Yao Wang:
Divide and Conquer Local Average Regression. CoRR abs/1601.06239 (2016) - 2015
- [j7]Wenfei Cao, Yao Wang, Can Yang
Folded-concave penalization approaches to tensor completion. Neurocomputing 152: 261-273 (2015) - [j6]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): 2957-2971 (2015) - 2014
- [i2]Xiangyu Chang, Yu Wang, Rongjian Li, Zongben Xu:
Sparse K-Means with ℓ∞/ℓ0 Penalty for High-Dimensional Data Clustering. CoRR abs/1403.7890 (2014) - 2013
- [c1]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: 797-806 - 2012
- [j5]Bin Zou, Zongben Xu, Xiangyu Chang:
Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains. Adv. Comput. Math. 36(1): 99-114 (2012) - [j4]Shaobo Lin, Feilong Cao, Xiangyu Chang, Zongben Xu:
A general radial quasi-interpolation operator on the sphere. J. Approx. Theory 164(10): 1402-1414 (2012) - [j3]Zongben Xu, Xiangyu Chang, Fengmin Xu, Hai Zhang:
L1/2 Regularization: A Thresholding Representation Theory and a Fast Solver. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1013-1027 (2012) - [i1]Peter J. Bickel, David Choi, Xiangyu Chang, Hai Zhang:
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels. CoRR abs/1207.0865 (2012) - 2011
- [j2]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): 549-570 (2011) - 2010
- [j1]Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang:
L1/2 regularization. Sci. China Inf. Sci. 53(6): 1159-1169 (2010)
Coauthor Index
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