Xiangyu Chang - RankMe

95 papers A* 13A 1Misc 1Journal 77Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A transformer-based surrogate modeling strategy for tunnel digital twin in full-field displacement prediction under adjacent tunnel construction. Adv. Eng. Informatics Xiangyu Chang, Hongyun Fan, Yuguang Fu, Chengjia Han, Hao Wang, Jianxiao Mao
2026	A*	`conf`	Bayes-Optimal Fair Classification with Multiple Sensitive Features. AAAI Yi Yang, Yinghui Huang, Xiangyu Chang
2026	J	`jnl`	Beyond Cross-Validation: Adaptive Parameter Selection for Kernel-Based Gradient Descents. CoRR Xiaotong Liu, Yunwen Lei, Xiangyu Chang, Shao-Bo Lin
2026	J	`jnl`	Fairness May Backfire: When Leveling-Down Occurs in Fair Machine Learning. CoRR Yi Yang, Xiangyu Chang, Pei-Yu Chen
2026	A*	`conf`	Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack. AAAI Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Guang Dai
2026	J	`jnl`	Structural evaluation of cracked shield tunnels using computer-vision-based model updating techniques. Adv. Eng. Informatics Xiangyu Chang, Youqi Zhang, Chengjia Han, Yuguang Fu, Jianxiao Mao, Hao Wang
2025	J	`jnl`	AKG kernel Agent: A Multi-Agent Framework for Cross-Platform Kernel Synthesis. CoRR Jinye Du, Quan Yuan, Zuyao Zhang, Yanzhi Yi, Jiahui Hu, Wangyi Chen, Yiyang Zhu, Qishui Zheng, Wenxiang Zou, Xiangyu Chang, Zuohe Zheng, Zichun Ye, Chao Liu, Shanni Li, Renwei Zhang, Yiping Deng, Xinwei Hu, Xuefeng Jin, Jie Zhao
2025	A*	`conf`	AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments. CVPR Xiangyu Chang, Fahim Faisal Niloy, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2025	J	`jnl`	An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization. CoRR Haishan Ye, Yinghui Huang, Hao Di, Xiangyu Chang
2025	J	`jnl`	Bayes-Optimal Fair Classification with Multiple Sensitive Features. CoRR Yi Yang, Yinghui Huang, Xiangyu Chang
2025	J	`jnl`	Beyond Uniform Deletion: A Data Value-Weighted Framework for Certified Machine Unlearning. CoRR Lisong He, Yi Yang, Xiangyu Chang
2025	J	`jnl`	Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection. CoRR Xiangyu Chang, Guang Dai, Hao Di, Haishan Ye
2025	J	`jnl`	Continuum-armed Bandit Optimization with Batch Pairwise Comparison Oracles. CoRR Xiangyu Chang, Xi Chen, Yining Wang, Zhiyi Zeng
2025	—	`conf`	FLASH: Federated Learning Across Simultaneous Heterogeneities. MILCOM Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2025	J	`jnl`	Federated Bayesian network learning from multi-site data. J. Biomed. Informatics Shuai Liu, Xiao Yan, Xiao Guo, Shun Qi, Huaning Wang, Xiangyu Chang
2025	J	`jnl`	Learned low-rank representation and its theoretical convergence analysis. Neural Networks Weilin Shen, Junmin Liu, Xiangyu Chang
2025	J	`jnl`	Mitigating Participation Imbalance Bias in Asynchronous Federated Learning. CoRR Xiangyu Chang, Manyi Yao, Srikanth V. Krishnamurthy, Christian R. Shelton, Anirban Chakraborty, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2025	J	`jnl`	Optimal Decentralized Composite Optimization for Strongly Convex Functions. J. Mach. Learn. Res. Haishan Ye, Xiangyu Chang
2025	J	`jnl`	Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack. CoRR Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Ivor W. Tsang, Guang Dai
2025	J	`jnl`	Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks. CoRR Xiao Guo, Xuming He, Xiangyu Chang, Shujie Ma
2025	A*	`conf`	ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs. ICLR Hao Di, Tong He, Haishan Ye, Yinghui Huang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2025	A	`conf`	Provable Benefits of Task-Specific Prompts for In-context Learning. AISTATS Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, Amit Roy-Chowdhury
2025	J	`jnl`	Provable Benefits of Task-Specific Prompts for In-context Learning. CoRR Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, Amit K. Roy-Chowdhury
2025	J	`jnl`	Randomized Spectral Clustering for Large-Scale Multi-Layer Networks. Stat. Comput. Wenqing Su, Xiao Guo, Xiangyu Chang, Ying Yang
2025	J	`jnl`	Rethinking Data Value: Asymmetric Data Shapley for Structure-Aware Valuation in Data Markets and Machine Learning Pipelines. CoRR Xi Zheng, Yinghui Huang, Xiangyu Chang, Ruoxi Jia, Yong Tan
2025	J	`jnl`	Stochastic Diagonal Estimation Based on Matrix Quadratic Form Oracles. CoRR Haishan Ye, Xiangyu Chang
2025	J	`jnl`	VDSAgents: A PCS-Guided Multi-Agent System for Veridical Data Science Automation. CoRR Yunxuan Jiang, Silan Hu, Xiaoning Wang, Yuanyuan Zhang, Xiangyu Chang
2025	J	`jnl`	When and How Unlabeled Data Provably Improve In-Context Learning. CoRR Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit K. Roy-Chowdhury, Samet Oymak
2024	J	`jnl`	Accelerated Double-Sketching Subspace Newton. Eur. J. Oper. Res. Jun Shang, Haishan Ye, Xiangyu Chang
2024	J	`jnl`	AdapFair: Ensuring Continuous Fairness for Machine Learning Operations. CoRR Yinghui Huang, Zihao Tang, Xiangyu Chang
2024	A*	`conf`	CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions. NeurIPS Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang, Dripta S. Raychaudhuri, Samet Oymak, Amit K. Roy-Chowdhury
2024	—	`conf`	Clustered Federated Learning for Massive MIMO Power Allocation. MILCOM Yushu Yan, Xiangyu Chang, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Ananthram Swami, Basak Guler
2024	J	`jnl`	DINE: Decentralized Inexact Newton With Exact Linear Convergence Rate. IEEE Trans. Signal Process. Haishan Ye, Shiyuan He, Xiangyu Chang
2024	J	`jnl`	Digital Twins in Transportation Infrastructure: An Investigation of the Key Enabling Technologies, Applications, and Challenges. IEEE Trans. Intell. Transp. Syst. Xiangyu Chang, Rui Zhang, Jianxiao Mao, Yuguang Fu
2024	A*	`conf`	Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods. ICML Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2024	A*	`conf`	Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. ICML Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2024	J	`jnl`	Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. CoRR Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2024	J	`jnl`	FLASH: Federated Learning Across Simultaneous Heterogeneities. CoRR Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2024	J	`jnl`	Fedpower: privacy-preserving distributed eigenspace estimation. Mach. Learn. Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang
2024	J	`jnl`	Kernel Interpolation of High Dimensional Scattered Data. SIAM J. Numer. Anal. Shao-Bo Lin, Xiangyu Chang, Xingping Sun
2024	J	`jnl`	On the efficacy of higher-order spectral clustering under weighted stochastic block models. Comput. Stat. Data Anal. Xiao Guo, Hai Zhang, Xiangyu Chang
2024	J	`jnl`	Plug-and-Play Transformer Modules for Test-Time Adaptation. CoRR Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2024	A*	`conf`	Selective Attention: Enhancing Transformer through Principled Context Control. NeurIPS Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit K. Roy-Chowdhury, Jiasi Chen, Samet Oymak
2024	J	`jnl`	Selective Attention: Enhancing Transformer through Principled Context Control. CoRR Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit K. Roy-Chowdhury, Jiasi Chen, Samet Oymak
2024	J	`jnl`	Spectral co-clustering in multi-layer directed networks. Comput. Stat. Data Anal. Wenqing Su, Xiao Guo, Xiangyu Chang, Ying Yang
2024	J	`jnl`	Uncertainty Quantification of Data Shapley via Statistical Inference. CoRR Mengmeng Wu, Zhihong Liu, Xiang Li, Ruoxi Jia, Xiangyu Chang
2023	A*	`conf`	2D-Shapley: A Framework for Fragmented Data Valuation. ICML Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
2023	J	`jnl`	2D-Shapley: A Framework for Fragmented Data Valuation. CoRR Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
2023	J	`jnl`	Accelerated Distributed Approximate Newton Method. IEEE Trans. Neural Networks Learn. Syst. Haishan Ye, Chaoyang He, Xiangyu Chang
2023	J	`jnl`	Causal Rule Learning: Enhancing the Understanding of Heterogeneous Treatment Effect via Weighted Causal Rules. CoRR Ying Wu, Hanzhong Liu, Kai Ren, Xiangyu Chang
2023	J	`jnl`	FedYolo: Augmenting Federated Learning with Pretrained Transformers. CoRR Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak
2023	Misc	`conf`	Federated Learning for Massive MIMO Power Allocation. ACSSC Yushu Yan, Xiangyu Chang, Basak Guler, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Ananthram Swami
2023	J	`jnl`	Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks. CoRR Shuai Liu, Xiao Guo, Shun Qi, Huaning Wang, Xiangyu Chang
2023	J	`jnl`	Multi-step reward ensemble methods for adaptive stock trading. Expert Syst. Appl. Zhiyi Zeng, Cong Ma, Xiangyu Chang
2023	J	`jnl`	PPFL: A Personalized Federated Learning Framework for Heterogeneous Population. CoRR Hao Di, Yi Yang, Haishan Ye, Xiangyu Chang
2023	J	`jnl`	Privacy-Preserving Community Detection for Locally Distributed Multiple Networks. CoRR Xiao Guo, Xiang Li, Xiangyu Chang, Shujie Ma
2023	J	`jnl`	Randomized Spectral Co-Clustering for Large-Scale Directed Networks. J. Mach. Learn. Res. Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
2023	J	`jnl`	Towards explicit superlinear convergence rate for SR1. Math. Program. Haishan Ye, Dachao Lin, Xiangyu Chang, Zhihua Zhang
2023	J	`jnl`	Variance reduced Shapley value estimation for trustworthy data valuation. Comput. Oper. Res. Mengmeng Wu, Ruoxi Jia, Changle Lin, Wei Huang, Xiangyu Chang
2022	J	`jnl`	Learning Multitask Gaussian Bayesian Networks. CoRR Shuai Liu, Yixuan Qiu, Baojuan Li, Huaning Wang, Xiangyu Chang
2022	J	`jnl`	Learning With Selected Features. IEEE Trans. Cybern. Shao-Bo Lin, Jian Fang, Xiangyu Chang
2022	J	`jnl`	Randomized Spectral Clustering in Large-Scale Stochastic Block Models. J. Comput. Graph. Stat. Hai Zhang, Xiao Guo, Xiangyu Chang
2022	J	`jnl`	Robust Data Valuation via Variance Reduced Data Shapley. CoRR Mengmeng Wu, Ruoxi Jia, Changle Lin, Wei Huang, Xiangyu Chang
2022	A*	`conf`	Statistical Estimation and Online Inference via Local SGD. COLT Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang
2021	J	`jnl`	Angle-based cost-sensitive multicategory classification. Comput. Stat. Data Anal. Yi Yang, Yuxuan Guo, Xiangyu Chang
2021	J	`jnl`	Privacy-Preserving Cost-Sensitive Learning. IEEE Trans. Neural Networks Learn. Syst. Yi Yang, Shuai Huang, Wei Huang, Xiangyu Chang
2021	J	`jnl`	Privacy-Preserving Distributed SVD via Federated Power. CoRR Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang
2021	A*	`conf`	Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. AAAI Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
2021	J	`jnl`	SURVFIT: Doubly sparse rule learning for survival data. J. Biomed. Informatics Ameer Hamza Shakur, Shuai Huang, Xiaoning Qian, Xiangyu Chang
2021	J	`jnl`	Statistical Estimation and Inference via Local SGD in Federated Learning. CoRR Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang
2021	J	`jnl`	Towards a Fairness-Aware Scoring System for Algorithmic Decision-Making. CoRR Yi Yang, Ying Wu, Xiangyu Chang, Mei Li
2021	J	`jnl`	Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study. BMC Medical Informatics Decis. Mak. Ying Wu, Shuai Huang, Xiangyu Chang
2020	J	`jnl`	Angle-Based Cost-Sensitive Multicategory Classification. CoRR Yi Yang, Yuxuan Guo, Xiangyu Chang
2020	J	`jnl`	Kernel Interpolation of High Dimensional Scattered Data. CoRR Shao-Bo Lin, Xiangyu Chang, Xingping Sun
2020	J	`jnl`	Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. CoRR Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
2020	J	`jnl`	Randomized Spectral Clustering in Large-Scale Stochastic Block Models. CoRR Hai Zhang, Xiao Guo, Xiangyu Chang
2020	J	`jnl`	Randomized spectral co-clustering for large-scale directed networks. CoRR Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
2019	J	`jnl`	Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation. IEEE Trans. Neural Networks Learn. Syst. Xiangyu Chang, Yan Zhong, Yao Wang, Shaobo Lin
2018	A*	`conf`	Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. AAAI Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang
2017	J	`jnl`	Distributed Semi-supervised Learning with Kernel Ridge Regression. J. Mach. Learn. Res. Xiangyu Chang, Shaobo Lin, Ding-Xuan Zhou
2017	J	`jnl`	Learning Rates for Classification with Gaussian Kernels. Neural Comput. Shaobo Lin, Jinshan Zeng, Xiangyu Chang
2017	J	`jnl`	Learning rates for classification with Gaussian kernels. CoRR Shaobo Lin, Jinshan Zeng, Xiangyu Chang
2017	J	`jnl`	Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. CoRR Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang
2017	J	`jnl`	Sparse Regularization in Fuzzy c-Means for High-Dimensional Data Clustering. IEEE Trans. Cybern. Xiangyu Chang, Qingnan Wang, Yuewen Liu, Yu Wang
2016	—	`conf`	An Empirical Research on Technostress Creators and End-User Performance: the Mediating Roles of Affective Attitudes. PACIS Qihui Xia, Xi Zhao, Qiang Tu E. Philip, Xiangyu Chang, Wei Huang
2016	J	`jnl`	Divide and Conquer Local Average Regression. CoRR Xiangyu Chang, Shaobo Lin, Yao Wang
2015	J	`jnl`	Folded-concave penalization approaches to tensor completion. Neurocomputing Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu
2015	J	`jnl`	Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing. IEEE Trans. Signal Process. Yu Wang, Jinshan Zeng, Zhimin Peng, Xiangyu Chang, Zongben Xu
2014	J	`jnl`	Sparse K-Means with ℓ CoRR Xiangyu Chang, Yu Wang, Rongjian Li, Zongben Xu
2013	A*	`conf`	Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering. ICDM Yu Wang, Xiangyu Chang, Rongjian Li, Zongben Xu
2012	J	`jnl`	A general radial quasi-interpolation operator on the sphere. J. Approx. Theory Shaobo Lin, Feilong Cao, Xiangyu Chang, Zongben Xu
2012	J	`jnl`	Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels CoRR Peter J. Bickel, David Choi, Xiangyu Chang, Hai Zhang
2012	J	`jnl`	Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains. Adv. Comput. Math. Bin Zou, Zongben Xu, Xiangyu Chang
2012	J	`jnl`	L IEEE Trans. Neural Networks Learn. Syst. Zongben Xu, Xiangyu Chang, Fengmin Xu, Hai Zhang
2011	J	`jnl`	Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. Int. J. Wavelets Multiresolution Inf. Process. Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang