Yudong Chen    

Bio

I am a Ph.D. candidate in the ECE department of UT-Austin working in the Wireless Networking and Communications Group. My advisor is Dr. Constantine Caramanis. I am also extremely fortunate to work with Dr. Sujay Sanghavi, Dr. Huan Xu, and Dr. Shie Mannor. My research interests include machine learning, robust statistics, and convex optimization. I received my B.S. in 2006 and M.S. in 2008, both from Tsinghua University. I have worked at Raytheon BBN, IBM and Siemens as an intern, and was an exchange student at National Tsing Hua University in 2005.

I am expected to graduate in Spring 2013 and currently on the job market.

Publications

(See here for my earlier papers.)

Breaking the Small Cluster Barrier of Graph Clustering,
with Nir Ailon and Huan Xu.
To appear at the International Conference on Machine Learning (ICML), 2013. [arXiv]

Robust Sparse Regression under Adversarial Corruption,
with Constantine Caramanis and Shie Mannor.
To appear at the International Conference on Machine Learning (ICML), 2013.
An earlier version of the paper is available on [arXiv]

Detecting Overlapping Temporal Community Structure in Time-Evolving Networks,
with Vikas Kawadia and Rahul Urgaonkar.
Submitted. 2013. [arXiv]

Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery,
with Constantine Caramanis.
To appear at the International Conference on Machine Learning (ICML), 2013. [pdf] [supplementary]
An earlier version of the paper is available on [arXiv].

Clustering Sparse Graphs,
with Sujay Sanghavi and Huan Xu.
Advances in Neural Information Processing Systems 25 (NIPS), 2012. [arXiv]

User Association for Load Balancing in Heterogeneous Cellular Networks,
with Qiaoyang Ye, Beiyu Rong, Mazin Al-Shalash, Constantine Caramanis, and Jeffrey G. Andrews.
IEEE Transactions on Wireless Communications, accepted for publication. 2013. [arXiv]
Partial preliminary results appeared at IEEE Globecom 2012.

Simple Algorithms for Sparse Linear Regression with Noisy and Missing Data,
with Constantine Caramanis.
2012 IEEE Statistical Signal Processing Workshop (SSP'12).

Low-rank Matrix Recovery from Errors and Erasures,
with Ali Jalali, Sujay Sanghavi, and Constantine Caramanis.
IEEE Transactions on Information Theory, to appear. 2012. [arXiv]
Partial preliminary results appeared at the International Symposium on Information Theory (ISIT), 2011.

Clustering Partially Observed Graphs via Convex Optimization,
with Ali Jalali, Sujay Sanghavi, and Huan Xu.
Submitted. 2011. [arXiv]
Partial preliminary results appeared at the International Conference on Machine Learning (ICML), 2011.

Robust Matrix Completion with Corrupted Columns,
with Huan Xu, Constantine Caramanis, and Sujay Sanghavi.
Submitted. 2011. [arXiv]
Partial preliminary results appeared at the International Conference on Machine Learning (ICML), 2011.

Quantization Errors of Uniformly Quantized fGn and fBm Signals,
with Zhiheng Li, 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,
with Li Li, Jianming Hu, and Yi Zhang.
IEEE Transactions on Signal Processing, vol. 57, no. 7, 2840-2846, 2009.

Courses

Learning Theory, Randomized Algorithms, Information Theory, Convex Optimization Theory, Linear Programming, Stochastic Control Theory, Probability and Stochastic Processes, Theory of Probability (Measure Theory), Topics in Network Sciences, Sparsity/Structure/Algorithms, Data Mining, Analysis and Design of Communication Networks.

Teaching

In Fall 2011, I was a teaching assistant of EE381V, UT-Austin's graduate course on Convex Analysis and Optimization. I taught classes, held office hours and graded homework.