Seiyun Shin
Ph.D. Candidate
Bio
Hello everyone! I am a Ph.D. student in the department of Electrical and Computer Engineering at University of Illinois at Urbana Champaign (UIUC). I am under the supervision of Prof. Ilan Shomorony and Prof. Han Zhao. My research is partly supported by Kwanjeong Educational Foundation Fellowship and Mavis Future Faculty Fellow in UIUC. Prior to joining UIUC, I received my M.S. degree from the department of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST). As a graduate student, I studied information theory under the supervision of Prof. Changho Suh. I also graduated Summa Cum Laude, earning B.S. degrees in both Electrical Engineering and Mathematics (double-major) from KAIST.
I also spent time in Electronics and Telecommunications Research Institute (ETRI), a government-funded research institute in South Korea, as part of my mandatory military service.
Education
PhD in Electrical and Computer Engineering @ UIUC (Present)
MS in Electrical Engineering @ KAIST
BS in Electrical Engineering and Mathematics (double major), Summa Cum Laude, @ KAIST
Research Interests
I seek to gain insight into fundamental problems that are practically relevant. My research interests lie at the intersection of theoretical machine learning, algorithm design, and information theory. Within these disciplines, I seek to achieve two closely-related goals. One is to characterize the fundamental limits of the amount and quality of data required for reliable estimation and learning; the other is to develop computationally efficient algorithms that can provably achieve these limits.. Specifically, I am working on establishing sample complexity in GraphML (e.g., graph neural networks), instance-adaptive algorithms, and multi-armed bandits.
Conference Papers
S. Shin, I. Shomorony, and Han Zhao, "Efficient learning of linear graph neural networks via node subsampling," NeurIPS 2023 (To appear).
S. Shin, H. Zhao, and I. Shomorony, "Adaptive power method: Eigenvector estimation from sampled data," ALT 2023 (slides).
H. Park*, S. Shin*, KS. Jun, and J. Ok, "Transfer learning in bandits with latent continuity," ISIT 2021 (*equal contributions).
S. Shin, R. Heckel, and I. Shomorony, "Capacity of the erasure shuffling channel," ICASSP 2020.
S. Shin and C. Suh, "Capacity of a two-way function multicast channel,'' Allerton Conference 2017.
K. Min, M. Jung, S. Shin, S. Kim, and S. Choi, "System level simulation of mmWave based mobile Xhaul networks," IEEE VTC Spring 2017.
S. Shin and C. Suh, "Two-way function computation,'' Allerton Conference 2014.
Journal Papers
H. Park, S. Shin, KS. Jun, and J. Ok, "Transfer learning in bandits with latent continuity," submitted to the IEEE Transactions on Information Theory, 2021.
S. Shin and C. Suh, "Two-way function computation," IEEE Transactions on Information Theory, Vol 66, No 2, 2020.
Honors and Awards
Awarded Mavis Future Faculty Fellow 2023–2024
Nominated Olesen Award for Excellence in Undergraduate Teaching 2022
Awarded Kwanjeong Educational Foundation Fellowship 2019–Present
Awarded Academic Excellence Scholarship from KAIST EE Department 2009–2011
Awarded Korea Government Fellowship 2008–2015
Academic Service
Reviewer for Conference on Neural Information Processing Systems (NeurIPS)
Reviewer for International Conference on Machine Learning (ICML)
Reviewer for International Conference on Learning Representations (ICLR)
Reviewer for IEEE Transactions on Information Theory
Reviewer for IEEE International Symposium on Information Theory (ISIT)
Reviewer for IEEE Information Theory Workshop (ITW)
Reviewer for International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Reviewer for IEEE Wireless Communications and Networking Conference (WCNC)
General Chair for the Coordinated Science Laboratory (CSL) Student Conference 2023 in UIUC
Machine Learning Session Chair for the CSL Student Conference 2023
Teaching
I have taught the following courses as a teaching assistant (TA) in my undergraduate and graduate years:
@ UIUC:
ECE313: Probability with Engineering Applications (Spring 2022)
nomination for Olesen Award for excellence in undergraduate teachingECE563: Information Theory (Fall 2021)
@ KAIST:
EE321: Communication Engineering (Spring 2014)
EE623: Information Theory (Fall 2013)
EE202: Signals and Systems (Fall 2011)