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

Google Scholar Profile


Teaching schedule for Fall 2021: EE424 Introduction to Optimization, Tuesdays and Thursdays 14:30 – 15:45
Office hours: Tuesdays and Thursdays 16:00 – 17:00 (during academic periods)

News (archive)

(July 2021) General Chair of the Inaugural IEEE East Asian School of Information Theory (flyer)

  • Registration deadline: July 30, 2021 (extended)

  • Poster Registration deadline (title, abstract and authors): July 30, 2021

  • Full Poster deadline: Aug. 2, 2021 (email submission:

(July 2021) Call for Contributions for IEEE Information Theory Newsletter

  • Deadline: July 31st

  • Share any ideas, initiatives, or potential contributions you may have in mind

  • Send contributions to the Newsletter Editor, Changho Suh <>

(July 2021) Delivered an invited talk at ISIT mentoring event:

  • Five tips for a good talk

(July 2021) Delivered an invited talk at Hyundai Motors:

  • Case study of AI projects at Hyundai Motors

(June 2021) 2021 James L. Massey Research & Teaching Award for Young Scholars

(June 2021) YTN Science: Ask Math

(June 2021) Law TV Network: Changwon Pyo's Justice

(June 2021) Advisory Committee Member, KAIST-KT AI Lab

(June 2021) Associate Head, KAIST AI Institute

(June 2021) IEEE Information Theory Newsletter June Issue

(June 2021) Director, KAIST Life Academy

(June 2021) Column Editor, IEEE BITS the Information Theory Magazine

(May 2021) LINKGENESIS Best Teacher Award (plaque)

(May 2021) TOP 10 KAIST Research Achievements of 2020 (KAIST Annual R&D Report):

(May 2021) A paper accepted in Journal of Machine Vision and Applications:

(May 2021) Deliver an inspirational talk at Hansung Science High School:

  • Three stories from my high school life

(May 2021) A paper accepted in ISIT 2021:

  • G. Suh, S. Jeon and C. Suh, ‘‘When to use graph side information in matrix completion’’

(Apr. 2021) Kyunghyang Shinmun:


Selected publications

  1. J. Cho, G. Hwang and C. Suh, “A fair classifier using kernel density estimation,” NeurIPS, Dec. 2020 (Top 10 KAIST Research Achievements).

  2. H. Kim, K. Lee, G. Hwang and C. Suh, “Crash to not crash: Learn to identify dangerous vehicles using a simulator,” AAAI, Honolulu, USA, Jan. 2019 (oral presentation, website, article, media).

  3. K. Ahn, K. Lee, H. Cha and C. Suh, “Binary rating estimation with graph side information,” NeurIPS, Montreal, Canada, Dec. 2018.

  4. 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, pp. 4259–4281, June 2018.

  5. S. Mohajer, C. Suh and A. Elmahdy, “Active learning for top-K rank aggregation from noisy comparisons,” ICML, Sydney, Australia, Aug. 2017.

  6. Y. Chen, G. Kamath, C. Suh and D. Tse, “Community recovery in graphs with locality,” ICML, New York, USA, June 2016.

  7. Y. Chen and C. Suh, “Spectral MLE: Top-K rank aggregation from pairwise comparisons,” ICML, Lille, France, July 2015 (Bell Labs Prize finalist, IEIE Haedong Young Engineer Award).

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

  9. 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 (IEEE ISIT Best Student Paper Award).

  10. 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 (IEEE ISIT Best Student Paper Award finalist).