Changho Suh – News Archive
News Archive (2024)
Recognition
Books
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
Q. Zhang, G. Suh, C. Suh and V.Y.F. Tan, ‘‘MC2G: An efficient algorithm for matrix completion with social and item similarity graphs,’’ IEEE Transactions on Signal Processing 2022.
G. Suh and C. Suh, ‘‘Graph-assisted matrix completion in a multi-clustered graph model,’’ ISIT 2022.
A. Elmahdy, J. Ahn, S. Mohajer and C. Suh, ‘‘The optimal sample complexity of matrix completion with hierarchical similarity graphs,’’ ISIT 2022.
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
Dec: Open KAIST: Featured as a representative of School of Electrical Engineering (youtube)
Nov: YTN Science Special: Mad for science (youtube, article)
Oct: YTN Science Forum: Thinking cars (youtube, article)
Oct: Sisajournal: Selected as one of the 100 next generation leaders
Sep: Launched KAIST Life Academy
Aug: General Chair of the Inaugural IEEE East Asian School of Information Theory (250 registered participants)
Jun: 2021 James L. Massey Research & Teaching Award for Young Scholars (plaque)
The research-&-teaching award given to the best young scholar in IEEE Information Theory Society
The first non-US faculty recipient
Past recipients are from MIT, Stanford, Cornell, UT Austin, USC and UCSD (list)
Jun: YTN Science: Ask Math (youtube, article)
Jun: Law TV Network: Changwon Pyo's Justice
Jun: Advisory Committee Member, KAIST-KT AI Lab
Jun: Associate Head, KAIST AI Institute
Jun: Area Editor, IEEE BITS the Information Theory Magazine
May: LINKGENESIS Best Teacher Award (honorarium: $10k, plaque, award lecture, translated)
May: TOP 10 KAIST Research Achievements of 2020 (fair machine learning, youtube, paper)
Apr: Kyunghyang Shinmun: My vision of 2050, 14 scientists’ vision of 2050, Book recommendation from scientists
Apr: Department Teaching Award (EE424 Introduction to Optimization, evaluation score: 4.79/5)
Mar: Area Chair of NeurIPS 2021
Mar: Steering Committee Member of Y-KAST (2021–2023)
Articles
Papers
Y. Ro, K. Lee, S. E. Whang and C. Suh, ‘‘Sample selection for fair and robust training’’, NeurIPS 2021.
S. Kim, M. Jang and C. Suh, ‘‘Group match prediction via neural networks,’’ RecSys (ComplexRec) 2021.
H. Kim, K. Lee, G. Hwang and C. Suh, ‘‘Predicting vehicle collisions using data collected from video games,’’ MVAP 2021.
G. Suh, S. Jeon and C. Suh, ‘‘When to use graph side information in matrix completion,’’ ISIT 2021.
Y. Roh, K. Lee, S. E. Whang and C. Suh, ‘‘FairBatch: Batch selection for model fairness,’’ ICLR 2021.
Q. Zhang, V. Y. F. Tan and C. Suh, ‘‘Community detection and matrix completion with social and item similarity graphs,’’ TSP 2021.
S. Kim, S. Mohajer and C. Suh, ‘‘On the sum capacity of dual-class parallel packet-erasure broadcast channels,’’ TCOM 2021.
Talks
Dec: Chaired a session on AI and fairness in KAIST International Symposium on AI and Future Society (youtube)
Oct: Delivered an invited talk at National Human Resources Development Institute (‘‘AI and societal issues’’; slides)
Oct: Delivered an invited talk at KAST round table (‘‘Ethics for self-driving cars’’; youtube, slides)
Sep: Delivered an invited talk at 2021 Halla Forum (‘‘Three AI enablers for future’’; youtube, slides, media)
Aug: Delivered an ILP lecture at KAIST (‘‘Three AI enablers for future’’; video, slides)
Aug: Tutorial at CSCIT (‘‘Fair machine learning via information theory’’; slides 1, 2, 3; notes 1, 2,3)
Aug: Invited talk at KICS AI-Communication Workshop (’'Fair machine learning’’; slides)
Aug: Tutorial at the Inaugural IEEE East Asian School of Information Theory (‘‘Fair machine learning’’)
Jul: Invited talk at ISIT mentoring event (‘‘Five tips for a good talk’’; slides)
May: LINKGENESIS Best Teacher Award Lecture at KAIST (‘‘9-year teaching at KAIST’’; slides)
May: Inspirational talk at Hansung Science High School (‘‘Three stories from my high school life’’; slides)
Feb: Honoring lifetime achievement of Jong Yong Yun, former CEO of Samsung (youtube, website)
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
J. Cho, G. Hwang and C. Suh, ‘‘A fair classifier using kernel density estimation,’’ NeurIPS, Dec. 2020 (Top 10 KAIST Research Achievements).
A. Elmahdy, J. Ahn, C. Suh and S. Mohajer, ‘‘Matrix completion with hierarchical graph side information,’’ NeurIPS, Dec. 2020.
K. Lee, C. Suh and K. Ramchandran, “Reprogramming GANs via input noise design,” ECML-PKDD, Sep. 2020.
M. Kang, K. Lee, Y. H. Lee and C. Suh, “Autoencoder-based graph construction for semi-supervised learning,” ECCV, Aug. 2020.
Y. Roh, K. Lee, S. E. Whang and C. Suh, “FR-Train: A mutual information-based approach to fair and robust training,” ICML, July 2020.
J. Cho, G. Hwang and C. Suh, “A fair classifier using mutual information,” ISIT, June 2020.
Q. E. Zhang, V. Y. F. Tan and C. Suh, “Achievability bounds for community detection and matrix completion with two-sided graph side information,” ISIT, June 2020.
S. Shin and C. Suh, “Two-way function computation,” IEEE Transactions on Information Theory, Feb. 2020.
News Archive (2019)
Recognition
Papers
D. Kim, K. Lee and C. Suh, “Improving model robustness via automatically incorporating self-supervision tasks,” NeurIPS Workshop, Dec. 2019.
K. Ahn, K. Lee and C. Suh, “Community recovery in hypergraphs,” IEEE Transactions on Information Theory, Oct. 2019.
J. Cho and C. Suh, ‘‘Wasserstein GAN can perform PCA,’’ Proceedings of Allerton on Communication, Control, and Computing, Sep. 2019.
K. Lee, H. Kim, K. Lee, C. Suh and K. Ramchandran, ‘‘Synthesizing differentially private datasets using random mixing,’’ Proceedings of the IEEE International Symposium on Information Theory, July 2019.
K. Lim, C. Suh and J. K. K. Rhee, ‘‘Longer distance continuous variable quantum key distribution protocol with photon subtraction at receiver,’’ Quantum Information Processing, vol. 18, no. 3, Mar. 2019.
H. Kim, K. Lee, G. Hwang and C. Suh, “Crash to not crash: Learn to identify dangerous vehicles using a simulator,” AAAI, Jan. 2019 (oral presentation, website, article).
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
K. Ahn, K. Lee, H. Cha and C. Suh, “Binary rating estimation with graph side information,” NeurIPS, Dec. 2018.
K. Ahn, K. Lee, H. Cha and C. Suh, “Binary rating estimation with graph side information,” Allerton, Oct. 2018 (invited paper).
J. Yoon, K. Lee and C. Suh, ‘‘On the joint recovery of community structure and community features,’’ Proceedings of Allerton on Communication, Control, and Computing, Oct. 2018.
K. Ahn, K. Lee and C. Suh, “Hypergraph spectral clustering in the weighted stochastic block model,” JSTSP, Oct. 2018.
M. Jang, S. Kim and C. Suh, “Top-K rank aggregation from M-wise comparisons,” JSTSP, Oct. 2018.
H. Park, K. Lee, J. Sohn, C. Suh and J. Moon, “Hierarchical coding for distributed computing,” ISIT, July 2018.
C. Suh, J. Cho and D. Tse, “Two-way interference channel capacity: How to have the cake and eat it too,” TIT, July 2018.
S. Kim, I.-H. Wang and C. Suh, “A relay can increase degrees of freedom in bursty MIMO interference networks,” TIT, June 2018.
K. Lee, H. Kim and C. Suh, “Simulated+Unsupervised learning with adaptive data generation and bidirectional mappings”, ICLR, Apr. 2018.
K. Lee, K. Lee, H. Kim, C. Suh and K. Ramchandran, “SGD on random mixtures: Private machine learning under data breach threats,” ICLR Workshop, Apr. 2018.
K. Lee, Y. H. Lee, C. Suh, “Alternating autoencoders for matrix completion,” IEEE Data Science Workshop, Apr. 2018.
K. Lee, K. Lee, H. Kim, C. Suh and K. Ramchandran, ‘‘SGD on random mixtures: Private machine learning under data-breach threats,’’ MLSys, Feb. 2018.
M. Jang, S. Kim and C. Suh, ‘‘Ranking from group-wise comparisons,’’ Information Theory and Applicaitons Workshop, Feb. 2018 (invited paper).
Talks
News Archive (2017)
Papers
M. Jang, S. Kim, C. Suh and S. Oh, “Optimal sample complexity of M-wise data for top-K ranking,” NeurIPS, Dec. 2017.
S. Shin and C. Suh, “Capacity of a two-way function multicast channel,” Allerton, Oct. 2017.
G. Suh, K. Lee and C. Suh, “Matrix sparsification for coded matrix multiplication,” Allerton, Oct. 2017.
K. Lim, C. Suh and J. K. K. Rhee, ‘‘Continuous variable quantum key distribution protocol with photon subtraction at receiver,’’ Proceedings of the International Conference on Quantum Cryptography (QCrypt), Sep. 2017.
K. Lee, J. Chung and C. Suh, “Large-scale and interpretable collaborative filtering for educational data,” KDD Workshop, Aug. 2017.
S. Mohajer, C. Suh and A. Elmahdy, “Active learning for top-K rank aggregation from noisy comparisons,” ICML, July 2017.
K. Lee, H. Kim and C. Suh, “Crash to not crash: Playing video games to predict vehicle collisions,” ICML Workshop, July 2017.
C. Suh, J. Cho and D. Tse, “Two-way interference channel capacity: How to have the cake and eat it too,” ISIT 2017.
K. Ahn, K. Lee and C. Suh, “Information-theoretic limits of subspace clustering,” ISIT 2017.
S. Kim, S. Mohajer and C. Suh, “Coding across heterogeneous parallel erasure broadcast channels is useful,” ISIT 2017.
K. Lee, C. Suh and K. Ramchandran, “High-dimensional coded matrix multiplication,” ISIT 2017.
K. Lim, H. Ko, C. Suh and J.K. Rhee, “Security analysis of quantum key distribution on passive optical networks,” Optics Express, May 2017.
C. Suh, V. Y. F. Tan and R. Zhao, “Adversarial top-K ranking,” TIT, Apr. 2017.
H. Yang, W. Shin, B. Jung, C. Suh and A. Paulraj, ‘‘Oportunistic downlink interference alignment for multi-cell MIMO networks,’’ IEEE Transactions on Wireless Communications, vol. 16, no. 3, pp. 1533–1548, Mar. 2017.
K. Ahn, K. Lee and C. Suh, ‘‘Subspace clustering via hypergraph community recovery,’’ Information Theory and Applications Workshop, Feb. 2017 (invited paper).
Talks
News Archive (2016)
Recognition
Papers
K. Lee, J. Chung, Y. Cha and C. Suh, ‘‘Machine learning approaches for learning analytics: Collaborative filtering or regression with experts?’’ NeurIPS Workshop, Dec. 2016.
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.
K. Ahn, K. Lee and C. Suh, “Community recovery in hypergraphs,” Allerton, Sep. 2016.
S. Mohajer and C. Suh, “Active top-K ranking from noisy comparisons,” Allerton, Sep. 2016 (invited paper).
K. Lim, C. Suh and J. K. K. Rhee, ‘‘Superadditivity of a reverse private capacity in quantum channels,’’ Proceedings of the International Conference on Quantum Cryptography (QCrypt), Sep. 2016.
C. Suh, D. Tse and J. Cho, “To feedback or not to feedback,” ISIT, July 2016.
S. Kim, S. Mohajer and C. Suh, “Role of a relay in bursty networks with correlated transmissions,” ISIT, July 2016.
Y. Chen, G. Kamath, C. Suh and D. Tse, “Community recovery in graphs with locality,” ICML, June 2016 (talk by D. Tse).
S. Jeon and C. Suh, ‘‘Degrees of freedom of uplink-downlink multi-antenna cellular networks,’’ IEEE Transactions on Information Theory, vol. 62, no. 8, pp. 4589–4603, Aug. 2016.
C. Suh, N. Goela and M. Gastpar, ‘‘Computation in multicast networks: Function alignment and converse theorems,’’ IEEE Transactions on Information Theory, vol. 62, no. 4, pp. 1866–1877, Apr. 2016.
C. Suh, V. Y. F. Tan and R. Zhao, ‘‘Adversarial top-K ranking,’’ Information Theory and Applications Workshop, Feb. 2016 (invited paper).
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
S. Huang, C. Suh and L. Zheng, ‘‘Euclidean information theory of networks,’’ IEEE Transactions on Information Theory, vol. 61, no. 12, pp. 6795–6814, Dec. 2015.
Y. Chen and C. Suh, ‘‘Top-K ranking: An information-theoretic perspective,’’ IEEE Information Theory Workshop, Jeju, South Korea, Oct. 2015 (invited paper).
S. Kim and C. Suh, ‘‘Degrees of freedom of bursty multiple access channels with a relay,’’ Proceedings of Allerton Conference on Communication, Control, and Computing, Oct. 2015.
K. Lim, K. Kim, C. Suh and J. K. K. Rhee, ‘‘Error tolerance bound for multi-qubit QKD security against general attack,’’ Proceedings of the International Conference on Quantum Cryptography (QCrypt), Sep. 2015.
Y. Chen, C. Suh and A. Goldsmith, “Information recovery from pairwise measurements: A Shannon-theoretic approach,” ISIT, July 2015.
S. Kim, I.-H. Wang and C. Suh, “A relay can increase degrees of freedom in bursty MIMO interference networks,” ISIT, July 2015.
Y. Chen and C. Suh, ‘‘Spectral MLE: Top-K rank aggregation from pairwise comparisons,’’ ICML, July 2015 (Bell Labs Prize finalist, media).
S. H. Chae, C. Suh and S.-Y. Chung, ‘‘Degrees of freedom of the rank-deficient interference channel with feedback,’’, IEEE Transactions on Information Theory, vol. 61, no. 6, pp. 3326–3338, June 2015.
K. Lim, H. Ko, K. Kim, C. Suh and J. K. K. Lee, ‘‘The error tolerance bound for secure multi-qubit QKD against incoherent attack,’’ IEEE Journal of Selected Topics in Quantum Electronics, vol. 21, no. 3, pp.1–9, May/June 2015.
Y. Chen and C. Suh, ‘‘Fundamental limits of top-K ranking,’’ Information Theory and Applications Workshop, Feb. 2015 (invited paper).
Talks
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