Anru R. Zhang - RankMe

51 papers A* 2A 1B 1Misc 1Journal 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detection Is Harder Than Estimation in Certain Regimes: Inference for Moment and Cumulant Tensors. CoRR Runshi Tang, Yuefeng Han, Anru R. Zhang
2026	J	`jnl`	Enhancing convolutional neural network generalizability via low-rank weight approximation. IET Image Process. Chenyin Gao, Shu Yang, Anru R. Zhang
2026	J	`jnl`	Statistical Inference for Fuzzy Clustering. CoRR Qiuyi Wu, Zihan Zhu, Anru R. Zhang
2026	J	`jnl`	Synthetic Augmentation in Imbalanced Learning: When It Helps, When It Hurts, and How Much to Add. CoRR Zhengchi Ma, Anru R. Zhang
2026	J	`jnl`	Tensor Decomposition with Unaligned Observations. SIAM J. Matrix Anal. Appl. Runshi Tang, Tamara G. Kolda, Anru R. Zhang
2025	J	`jnl`	A Provably Efficient Method for Tensor Ring Decomposition and Its Applications. CoRR Han Chen, Sitan Chen, Anru R. Zhang
2025	J	`jnl`	Bias-Corrected Data Synthesis for Imbalanced Learning. CoRR Pengfei Lyu, Zhengchi Ma, Linjun Zhang, Anru R. Zhang
2025	J	`jnl`	High-order Accurate Inference on Manifolds. CoRR Chengzhu Huang, Anru R. Zhang
2025	J	`jnl`	Integrated analysis for electronic health records with structured and sporadic missingness. J. Biomed. Informatics Jianbin Tan, Yan Zhang, Chuan Hong, T. Tony Cai, Tianxi Cai, Anru R. Zhang
2025	J	`jnl`	Nonconvex Factorization and Manifold Formulations Are Almost Equivalent in Low-Rank Matrix Optimization. INFORMS J. Optim. Yuetian Luo, Xudong Li, Anru R. Zhang
2025	J	`jnl`	Planner Aware Path Learning in Diffusion Language Models Training. CoRR Fred Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks, Shuibai Zhang, Anru R. Zhang, Michael M. Bronstein, Avishek Joey Bose, Alexander Tong
2025	J	`jnl`	Reliable Curation of EHR Dataset via Large Language Models under Environmental Constraints. CoRR Raymond M. Xiong, Panyu Chen, Tianze Dong, Jian Lu, Benjamin Goldstein, Danyang Zhuo, Anru R. Zhang
2025	J	`jnl`	Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence. CoRR Runshi Tang, Julien Chhor, Olga Klopp, Anru R. Zhang
2025	J	`jnl`	Smooth Flow Matching. CoRR Jianbin Tan, Anru R. Zhang
2025	J	`jnl`	The Geometry of Reasoning: Flowing Logics in Representation Space. CoRR Yufa Zhou, Yixiao Wang, Xunjian Yin, Shuyan Zhou, Anru R. Zhang
2025	J	`jnl`	Why Do Transformers Fail to Forecast Time Series In-Context? CoRR Yufa Zhou, Yixiao Wang, Surbhi Goel, Anru R. Zhang
2024	J	`jnl`	Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data. Neural Comput. Anru R. Zhang, Ryan P. Bell, Chen An, Runshi Tang, Shana A. Hall, Cliburn Chan, Kareem Al-Khalil, Christina S. Meade
2024	J	`jnl`	Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm. CoRR Jingyang Li, T. Tony Cai, Dong Xia, Anru R. Zhang
2024	J	`jnl`	On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization. Math. Oper. Res. Yuetian Luo, Xudong Li, Anru R. Zhang
2024	J	`jnl`	Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models. J. Am. Medical Informatics Assoc. Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru R. Zhang
2024	J	`jnl`	Soft phenotyping for sepsis via EHR time-aware soft clustering. J. Biomed. Informatics Shiyi Jiang, Xin Gai, Miriam M. Treggiari, William W. Stead, Yuankang Zhao, C. David Page, Anru R. Zhang
2024	J	`jnl`	Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data. CoRR Brett W. Larsen, Tamara G. Kolda, Anru R. Zhang, Alex H. Williams
2024	J	`jnl`	Tensor Decomposition with Unaligned Observations. CoRR Runshi Tang, Tamara G. Kolda, Anru R. Zhang
2023	J	`jnl`	Fast and Reliable Generation of EHR Time Series via Diffusion Models. CoRR Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru R. Zhang
2023	J	`jnl`	Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition. J. Mach. Learn. Res. Chengzhuo Ni, Yaqi Duan, Munther A. Dahleh, Mengdi Wang, Anru R. Zhang
2023	A*	`conf`	Learning Polynomial Transformations via Generalized Tensor Decompositions. STOC Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang
2023	J	`jnl`	Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. J. Mach. Learn. Res. Yuetian Luo, Anru R. Zhang
2023	J	`jnl`	Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model. CoRR Runshi Tang, Ming Yuan, Anru R. Zhang
2023	J	`jnl`	Phase transition for detecting a small community in a large network. CoRR Jiashun Jin, Zheng Tracy Ke, Paxton Turner, Anru R. Zhang
2022	J	`jnl`	Learning Polynomial Transformations. CoRR Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang
2022	J	`jnl`	One-dimensional Tensor Network Recovery. CoRR Ziang Chen, Jianfeng Lu, Anru R. Zhang
2022	J	`jnl`	Optimal High-Order Tensor SVD via Tensor-Train Orthogonal Iteration. IEEE Trans. Inf. Theory Yuchen Zhou, Anru R. Zhang, Lili Zheng, Yazhen Wang
2022	Misc	`conf`	Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ICASSP Yuetian Luo, Qin Ma, Chi Zhang, Anru R. Zhang
2022	J	`jnl`	Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions. CoRR Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru R. Zhang
2022	J	`jnl`	Self-supervised Denoising via Low-rank Tensor Approximated Convolutional Neural Network. CoRR Chenyin Gao, Shu Yang, Anru R. Zhang
2022	J	`jnl`	Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. IEEE Trans. Inf. Theory T. Tony Cai, Anru R. Zhang, Yuchen Zhou
2022	J	`jnl`	Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay. CoRR Yuetian Luo, Anru R. Zhang
2021	J	`jnl`	A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. J. Mach. Learn. Res. Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
2021	B	`conf`	Learning Good State and Action Representations via Tensor Decomposition. ISIT Chengzhuo Ni, Anru R. Zhang, Yaqi Duan, Mengdi Wang
2021	J	`jnl`	Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. CoRR Yuetian Luo, Anru R. Zhang
2021	J	`jnl`	Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization. CoRR Yuetian Luo, Xudong Li, Anru R. Zhang
2021	J	`jnl`	On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization. CoRR Yuetian Luo, Xudong Li, Anru R. Zhang
2020	J	`jnl`	A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound. CoRR Yuetian Luo, Anru R. Zhang
2020	J	`jnl`	A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. CoRR Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
2020	J	`jnl`	ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM J. Math. Data Sci. Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
2020	J	`jnl`	Inference for Low-rank Tensors - No Need to Debias. CoRR Dong Xia, Anru R. Zhang, Yuchen Zhou
2020	A*	`conf`	Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. COLT Yuetian Luo, Anru R. Zhang
2020	J	`jnl`	Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. CoRR Yuetian Luo, Anru R. Zhang
2020	J	`jnl`	Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration. CoRR Yuchen Zhou, Anru R. Zhang, Lili Zheng, Yazhen Wang
2020	J	`jnl`	Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence. CoRR Yuetian Luo, Wen Huang, Xudong Li, Anru R. Zhang
2020	A	`conf`	Sparse and Low-rank Tensor Estimation via Cubic Sketchings. AISTATS Botao Hao, Anru R. Zhang, Guang Cheng