Changho Suh

Changho Suh 

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 2019: EE623 Information Theory, Mondays and Wednesdays 14:30 - 15:45
Office hours: Mondays and Wednesdays 16:00 - 17:00 (during academic periods)

News

(Oct. 2019) Appointed as a Distinguished Lecturer for the IEEE Information Theory Society (2020-21)

(Oct. 2019) A paper accepted in NeurIPS Workshop:

  • D. Kim, K. Lee and C. Suh, “Improving model robustness via automatically incorporating self-supervision tasks”

(Sep. 2019) Won the Department Teaching Award:

  • EE523: Convex Optimization (Spring 2019, evaluation score: 4.63/5)

(Sep. 2019) Delievered two-day lectures for Samsung Machine Learning Course:

  • Day 1: Convolutional neural networks

  • Day 2: Recurrent neural networks

(Aug. 2019) A paper accepted in Allerton:

(July 2019) A paper accepted in IT:

(June/July 2019) Delievered three-day lectures for SK-Hynix Machine Learning Course:

  • Day 1: Machine learning and optimization

  • Day 2: Deep learning and optimization

  • Day 3: Robustness and fairness

(June 2019) Delivered invited talks at NUS:

  • “Learn to identify dangerous vehicles using a computer game”

  • “Matrix completion with graph side information”

(May 2019) Delivered an invited talk at LSIT (video):

  • “Matrix completion with graph side information”

(May 2019) A paper accepted in IT:

(Apr. 2019) Received a two-year grant from Air Force Office of Scientific Research (AFOSR):

  • “Validating simulator-based learning via interpretation”

(Mar. 2019) Delivered an invited talk at Samsung Medical Center:

  • “Search engine for medical images”

(Mar. 2019) Our work on self-driving systems is recognized as:

(Mar. 2019) A paper published in Quantum Information Processing:

(Feb. 2019) Delivered an invited talk at AOARD:

  • “Interpretable collision avoidance systems for autonomous driving”

(Feb. 2019) Delivered an invited talk at ITA:

  • M. Jang, S. Kim and C. Suh, “Match prediction from group-wise comparisons”

(Dec. 2018) Received KAIST Technology Innovation Award

(Nov. 2018) A paper accepted in AAAI (oral presentation):

(Sep. 2018) A paper accepted in NeurIPS:

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, 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.