Changho Suh – News Archive

News Archive (2024)

Recognition

Books

  • C. Suh, ‘‘Probability for Information Technology,’’ Springer, 2024.

Papers

News Archive (2023)

Recognition

Books

Articles

Papers

Talks

  • Oct: AI course at KAIST AI Graduate School CAIO program (‘‘Fair AI and applications’’)

  • July: Invited talk at EIRIC AI seminar (‘‘Fair AI and applicaitons’’)

  • May: AI course at KAIST AI Graduate School CAIO program (‘‘Fair AI and applications’’)

News Archive (2022)

Recognition

Books

Articles

Papers

Talks

  • Nov: AI course at KAIST AI Graduate School CAIO program (‘‘Fair AI and applications’’)

  • Nov: Invited talk at Hyundai Motor AI conference (‘‘AI for manufacturing’’)

  • June: AI course at KAIST AI Graduate School CAIO program (‘‘Fair AI and applications’’)

  • May: Invited talk at KAIST AI Graduate School Colloquium (‘‘Fair AI and applications’’)

  • May: Invited talk at AI Frontiers Summit (‘‘Fair AI and applications’’)

  • Feb: Invited talk at KAIST AI Institute (‘‘AI and fairness: Engineer's perspective’’; slides)

News Archive (2021)

Recognition

Articles

Papers

Talks

News Archive (2020)

Recognition

Talks

  • Dec: Panelist of KAST round table (‘‘Qualitative evaluation of faculty’’ youtube)

  • Nov: Inspirational talk at KAIST (“Three stories for freshmen”; youtube; slides)

  • Oct: Invited talk at SK-Hynix (“SECDED and multi-bit ECC for DRAM”)

  • Oct: Invited talk at LG Display AI Workshop (“Machine learning with small data”)

  • Sep: Invited talk at Edtech Korea Forum (“AI fundamentals & curriculums”; youtube-korean; english; slides)

  • July: Invited talk at SPCOM (“FR-Train: Fair and robust training via information theory”)

  • Mar: Invited talk at University of Minnesota ECE (“Fundamental limits and efficient algorithms for machine learning”)

  • Feb: Invited talk at UC Irvine EECS (“Matrix completion with graph side information”)

  • Feb: Invited talk at ITA (“A fair classifier using mutual information”)

Papers

News Archive (2019)

Recognition

Papers

Talks

  • Sep: Samsung Machine Learning Course (2 days)

  • July: SK-Hynix Machine Learning Course (3 days)

  • June: Invited talk at NUS (“Learn to identify dangerous vehicle using a computer game”)

  • June: Invited talk at NUS (“Matrix completion with graph side information”)

  • May: Invited talk at LSIT (video) (‘‘Matrix completion with graph side information’’)

  • Mar: Invited talk at Samsung Medical Center (“Search engine for medical images”)

  • Mar: Invited talk at AFOSR (“Interpretable collision avoidance systems for autonomous driving”)

  • Feb: Invited talk at ITA (“Match prediction from group-wise comparisons”)

News Archive (2018)

Recognition

Papers

Talks

News Archive (2017)

Papers

Talks

  • May: Invited talk at Naver (‘‘Recommender system for education’’ youtube)

  • Feb: Invited talk at ITA (‘‘Subspace clustering via hypergraph community recovery’’)

News Archive (2016)

Recognition

Papers

Talks

  • Dec: Invited talk at Shannon Workshop (‘‘High-dimensional codes for distributed computing’’)

  • Sep: Invited talk at Allerton (‘‘Active top-K ranking from noisy comparisons’’)

  • Aug: Invited talk at ITCOM Workshop (‘‘Top-K ranking: An information-theoretic perspective’’)

News Archive (2015)

Recognition

Papers

Talks

  • Apr: Invited talk at NUS (“Efficient top-K ranking”)

  • Feb: Invited talk at ITA (‘‘Fundamental limits of top-K ranking’’)