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

Schedule

Teaching schedule for Fall 2018: EE623 Information Theory, Mondays and Wednesdays 14:30 - 15:45
Office hours: Mondays and Wednesdays 16:00 - 17:00 (during academic periods)

News

(Sep. 2018) A paper accepted in NIPS:

• K. Ahn, K. Lee, H. Cha and C. Suh, “Binary rating estimation with graph side information”

(Aug. 2018) Two papers accepted in Allerton:

• K. Ahn, K. Lee, H. Cha and C. Suh, “Binary rating estimation with graph side information” (invited paper)

• J. Yoon, K. Lee and C. Suh, “On the joint recovery of community structure and community features”

(June 2018) Received the IEEE/IEIE Joint Award (Young IT Engineer of the Year 2018):

• Ceremony, medal, plate

(May 2018) A paper accepted in Physical Review A:

• K. Lim, C. Suh and J.K.K. Rhee, “Comment on 'Performance improvement of continuous-variable quantum key distribution via photon subtraction’”

(May 2018) A paper accepted in the IEEE Journal of Selected Topics in Signal Processing:

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

(Apr. 2018) A paper accepted in the IEEE Data Science Workshop:

• Kiwon Lee, Yong H. Lee, Changho Suh, “Alternating autoencoders for matrix completion”

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

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

(Apr. 2018) A paper accepted in ISIT:

• H. Park, K. Lee, J. Sohn, C. Suh and J. Moon, “Hierarchical coding for distributed computing”

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

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

(Mar. 2018) A paper accepted in IT:

• C. Suh, J. Cho and D. Tse, “Two-way interference channel capacity: How to have the cake and eat it too”

(Mar. 2018) Invited to Dagstuhl Seminar:

• Coding theory for inference, learning and optimization

(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.

(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”

(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:

• K. Lee, J. Chung and C. Suh, “Large-scale and interpretable collaborative filtering for educational data”

(May 2017) A paper accepted in ICML:

• S. Mohajer, C. Suh and A. Elmahdy, “Active learning for top-K rank aggregation from noisy comparisons”

Acknowledgments

• National Research Foundation of Korea

• Korea Aerospace Research Institute

• Ministry of Science, ICT & Future Planning

• Electronics and Telecommunications Research Institute

• KaKao

• Samsung

• SKT

• LG

• Riiid

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, vol. 64, no. 6, June 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.