Changho Suh

Changho Suh 

Ewon Associate Professor
School of Electrical Engineering
Korea Advanced Institute of Science and Technology

Room 912, N1 building
291 Daehak-ro, Yuseong-gu
Daejeon, South Korea, 34141

+82-42-350-7429
chsuh@kaist.ac.kr
Google Scholar Profile

News

(Apr. 2018) A paper accepted in the IEEE Journal of Selected Topis in Signal Processing:

  • M. Jang, S. Kim and C. Suh, “Top-K rank aggregation from M-wise comparisons”

(Mar. 2018) A paper accepted in ICLR Workshop:

(Mar. 2018) A paper accepted in IT:

(Mar. 2018) Invited to Dagstuhl Seminar:

(Jan. 2018) Accepted papers:

  • K. Lee, H. Kim and C. Suh, “Simulated+Unsupervised learning with adaptive data generation and bidirectional mappings”, ICLR 2018.

  • K. Lee, K. Lee, H. Kim, C. Suh and K. Ramchandran, “SGD on random mixtures: Private machine learning under data-breach threats”, SysML 2018.

  • S. Kim, I.-H. Wang and C. Suh, “A relay can increase degrees of freedom in bursty MIMO interference networks”, IT 2018.

(Dec. 2017) Two papers submitted to the IEEE Journal of Selected Topics in Signal Processing:

  • M. Jang, S. Kim and C. Suh, “Top-K rank aggregation from M-wise comparisons”

  • K. Ahn, K. Lee and C. Suh, “Hypergraph spectral clustering in the weighted stochastic block model”

(Sep. 2017) A paper accepted in NIPS:

  • M. Jang, S. Kim, C. Suh and S. Oh, “Optimal sample complexity of M-wise data for top-K ranking”

(Sep. 2017) Two papers submitted to IT:

(Aug. 2017) Two papers accepted in Allerton:

  • S. Shin and C. Suh, “Capacity of a two-way function multicast channel”

  • G. Suh, K. Lee and C. Suh, “Matrix sparsification for coded matrix multiplication”

(July 2017) A paper accepted in ICML Workshop:

  • K. Lee, H. Kim and C. Suh, “Crash to not crash: Playing video games to predict vehicle collisions”

(June 2017) A paper accepted in KDD Workshop:

(May 2017) A paper accepted in ICML:

Acknowledgments

Selected publications

  1. C. Suh, J. Cho and D. Tse, “Two-way interference channel capacity: How to have the cake and eat it too”, IEEE Transactions on Information Theory, 2018.

  2. S. Mohajer, C. Suh and A. Elmahdy, “Active learning for top-K rank aggregation from noisy comparisons”, International Conference on Machine Learning, Sydney, Australia, Aug. 2017.

  3. Y. Chen, C. Suh and A. Goldsmith, “Information recovery from pairwise measurements”, IEEE Transactions on Information Theory, vol. 62, no. 10, pp.5881–5905, Oct. 2016.

  4. Y. Chen, G. Kamath, C. Suh and D. Tse, “Community recovery in graphs with locality”, International Conference on Machine Learning, New York, USA, June 2016.

  5. Y. Chen and C. Suh, "Spectral MLE: Top-K rank aggregation from pairwise comparisons”, International Conference on Machine Learning, Lille, France, July 2015 (Bell Labs Prize finalist).

  6. V. Cadambe, S. Jafar, H. Maleki, K. Ramchandran and C. Suh, “Asymptotic interference alignment for optimal repair of MDS codes in distributed storage”, IEEE Transactions on Information Theory, vol. 59, no. 5, pp. 2974–2987, May 2013.

  7. C. Suh, M. Ho and D. Tse, “Downlink interference alignment”, IEEE Transactions on Communications, vol. 59, no. 9, pp. 2616–2626, Sep. 2011 (won the IEEE Communications Society Stephen O. Rice Prize in 2013).

  8. C. Suh and D. Tse, “Feedback capacity of the Gaussian interference channel to within 2 bits”, IEEE Transactions on Information Theory, vol. 57, no. 5, pp. 2667–2685, May 2011 (The conference version won the Best Student Paper Award of the conference).

  9. C. Suh and K. Ramchandran, “Exact-repair MDS code construction using interference alignment”, IEEE Transactions on Information Theory, vol. 57, no. 3, pp. 1425–1442, Mar. 2011 (The conference version won the Best Student Paper Award finalist of the conference).

  10. A. G. Dimakis, K. Ramchandran, Y. Wu and C. Suh, “A survey on network codes for distributed storage”, Proceedings of the IEEE, vol. 99, no. 3, pp. 476–489, Mar. 2011.