Yudong Chen -- Publications by type

Preprint | Journal | Conference


Preprints


Exponential error rates of SDP for block models: Beyond Grothendieck's inequality,
Yingjie Fei, Yudong Chen
Preprint, 2017. [arxiv]

Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees,
Yudong Chen, Martin J. Wainwright.
Preprint, 2015. [arXiv]

Detecting Overlapping Temporal Community Structure in Time-Evolving Networks,
Yudong Chen, Vikas Kawadia, and Rahul Urgaonkar.
Technical Report, 2013. [arXiv]



Journals


Convexified Modularity Maximization for Degree-corrected Stochastic Block Models,
Yudong Chen, Xiaodong Li, and Jiaming Xu
Annals of Statistics, to appear, 2017. [arxiv] [web page and code]

Convex and Nonconvex Formulations for Mixed Regression with Two Components: Minimax Optimal Rates
Yudong Chen, Xinyang Yi, and Constantine Caramanis
IEEE Transactions on Information Theory, to appear, 2017. [arxiv]

Clustering from General Pairwise Observations with Applications to Time-varying Graphs,
Shiau Hong Lim, Yudong Chen, and Huan Xu
Journal of Machine Learning Research (JMLR), 18(49), 1-47, 2017. [pdf] [jmlr link]

Matrix Completion with Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs,
Yudong Chen, Huan Xu, Constantine Caramanis, and Sujay Sanghavi.
IEEE Transactions on Information Theory, vol. 62, no. 1, pp. 503-526, 2016. [arxiv] [ieee link]

Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices,
Yudong Chen and Jiaming Xu.
Journal of Machine Learning Research (JMLR), vol. 17, no. 27, pp. 1-57, 2016. [pdf] [arXiv]

Completing Any Low-Rank Matrix, Provably,
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, and Rachel Ward.
Journal of Machine Learnng Research (JMLR), vol. 16, pp. 2999-3034, 2015. [pdf] [jmlr link]

Incoherence-Optimal Matrix Completion,
Yudong Chen.
IEEE Transactions on Information Theory, vol. 61, no. 5, pp. 2909-2923, 2015. [ieee link] [arXiv]

Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints,
Nir Ailon, Yudong Chen, and Huan Xu.
Journal of Machine Learning Research (JMLR), vol. 16, pp. 450-490, 2015. [pdf] [jmlr link] [arXiv]

Improved Graph Clustering,
Yudong Chen, Sujay Sanghavi and Huan Xu.
IEEE Transactions on Information Theory, vol. 60, no. 10, pp. 6440–6455, 2014. [ieee link] [arXiv]

Clustering Partially Observed Graphs via Convex Optimization,
Yudong Chen, Ali Jalali, Sujay Sanghavi, and Huan Xu.
Journal of Machine Learning Research (JMLR), vol. 15, pp. 2213-2238, 2014. [pdf] [arXiv]

Low-rank Matrix Recovery from Errors and Erasures,
Yudong Chen, Ali Jalali, Sujay Sanghavi, and Constantine Caramanis.
IEEE Transactions on Information Theory, vol. 59, no. 7, pp. 4324-4337, 2013. [ieee link] [arXiv]

User Association for Load Balancing in Heterogeneous Cellular Networks,
Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, and Jeffrey G. Andrews.
IEEE Transactions on Wireless Communications, vol. 12, no. 6, pp. 2706-2716, 2013. [ieee link] [arXiv]

Quantization Errors of Uniformly Quantized fGn and fBm Signals,
Zhiheng Li, Yudong Chen, Li Li, and Yi Zhang.
IEEE Signal Processing Letters, vol. 16, no. 12, 1059-1062, 2009. [arXiv]

PCA Based Hurst Exponent Estimator for fBm Signals under Disturbances,
Li Li, Jianming Hu, Yudong Chen, and Yi Zhang.
IEEE Transactions on Signal Processing, vol. 57, no. 7, 2840-2846, 2009.


Conference Proceedings


Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent,
Yudong Chen, Lili Su, and Jiaming Xu
ACM SIGMETRICS, to appear, 2017. [arxiv]

Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes,
Dong Yin, Ramtin Pedarsani, Yudong Chen, and Kannan Ramchandran
The 55th Annual Allerton Conference on Communication, Control, and Computing, 2017. [arxiv]

Fast Algorithms for Robust PCA via Gradient Descent,
Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis
Neural Information Processing Systems Conference (NIPS), 2016. [arxiv] [code]

Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization,
Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, and Shuicheng Yan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [pdf]

A Convex Optimization Framework for Bi-Clustering,
Shiau Hong Lim, Yudong Chen, and Huan Xu.
International Conference on Machine Learning (ICML), 2015. [pdf] [supplementary] [icml link]

Clustering from Labels and Time-Varying Graphs,
Shiau Hong Lim, Yudong Chen, and Huan Xu.
Neural Information Processing Systems Conference (NIPS), 2014 (Spotlight). [pdf] [supplementary] [nips link]

Weighted Graph Clustering with Non-uniform Uncertainties,Yudong Chen, Shiau Hong Lim, and Huan Xu.
International Conference on Machine Learning (ICML), 2014. [pdf] [supplementary] [icml link]

Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting,
Yudong Chen and Jiaming Xu.
International Conference on Machine Learning (ICML), 2014.

Coherent Matrix Completion,
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, and Rachel Ward.
International Conference on Machine Learning (ICML), 2014.

A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates,
Yudong Chen, Xinyang Yi, and Constantine Caramanis.
Conference on Learning Theory (COLT), 2014. [arxiv] [colt pdf]

Breaking the Small Cluster Barrier of Graph Clustering,
Nir Ailon, Yudong Chen, and Huan Xu.
International Conference on Machine Learning (ICML), 2013.

Robust Sparse Regression under Adversarial Corruption,
Yudong Chen, Constantine Caramanis, and Shie Mannor.
International Conference on Machine Learning (ICML), 2013. [pdf] [supplementary]

Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery,
Yudong Chen and Constantine Caramanis.
International Conference on Machine Learning (ICML), 2013. [pdf] [supplementary]

Clustering Sparse Graphs,
Yudong Chen, Sujay Sanghavi and Huan Xu.
In Advances in Neural Information Processing Systems 25 (NIPS), 2012. 

Towards an Optimal User Association in Heterogeneous Cellular Networks,
Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, and Jeffrey G. Andrews.
IEEE Globecom, 2012.

Low-rank Matrix Recovery from Errors and Erasures,
Yudong Chen, Ali Jalali, Sujay Sanghavi, and Constantine Caramanis.
International Symposium on Information Theory (ISIT), 2011.

Clustering Partially Observed Graphs via Convex Optimization,
Ali Jalali, Yudong Chen, Sujay Sanghavi, and Huan Xu.
International Conference on Machine Learning (ICML), 2011.

Robust Matrix Completion with Corrupted Columns,
Yudong, Chen, Huan Xu, Constantine Caramanis, and Sujay Sanghavi.
International Conference on Machine Learning (ICML), 2011.

Mining for Similarities in Urban Traffic Flow Using Wavelets,
Yudong Chen, Yi Zhang, Jianming Hu, and Li Li.
IEEE International Conference on Intelligent Transportation System (ITSC‘07), 2007.

A Transportation Facilities Management Tree Model Based on IPv6,
Zhiheng Li, Zuo Zhang, Qian Chen, and Yudong Chen
IEEE International Conference on Intelligent Transportation System (ITSC’07), 2007.

Pattern Discovering of Regional Traffic Status with Self-Organizing Maps,
Yudong Chen, Yi Zhang, and Jianming Hu.
IEEE International Conference on Intelligent Transportation System (ITSC’06), 2006.


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