Preprints
Journal Papers
[J01] SAFFRON: SparseGraph Code Framework for Group Testing
K. Lee, K. Chandrasekher, R. Pedarsani, and K. Ramchandran
IEEE Transactions on Signal Processing 2019
[J02] Community Recovery in Hypergraphs
K. Ahn*, K. Lee*, and C. Suh
IEEE Transactions on Information Theory 2019
[J03] Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
K. Ahn, K. Lee, and C. Suh
IEEE Journal of Selected Topics in Signal Processing, October 2018
[J04] Speeding Up Distributed Machine Learning Using Codes
K. Lee, M. Lam, R. Pedarsani, D. Papailiopoulos, and K. Ramchandran
IEEE Transactions on Information Theory, January 2018
The Joint Communications Society/Information Theory Society Paper Award, 2020
[J05] PhaseCode: Fast and Efficient Compressive Phase Retrieval based on SparseGraphCodes
R. Pedarsani, D. Yin, K. Lee, and K. Ramchandran
IEEE Transactions on Information Theory, June 2017
[J06] The MDS Queue: Analysing the Latency Performance of Erasure Codes
K. Lee, N. Shah, L. Huang, and K. Ramchandran
IEEE Transactions on Information Theory, May 2017
[J07] On Scheduling Redundant Requests With Cancellation Overheads
K. Lee, R. Pedarsani, and K. Ramchandran
IEEE/ACM Transactions on Networking, April 2017
[J08] When Do Redundant Requests Reduce Latency?
N. Shah, K. Lee, and K. Ramchandran
IEEE Transactions on Communications, February 2016
Peerreviewed Conference/Workshop Proceedings
[C01] Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification
S. Agarwal, H. Wang, K. Lee, S. Venkataraman, and D. Papailiopoulos
MLSys 2021
[C02] FairBatch: Batch Selection for Model Fairness
Y. Roh, K. Lee, S. Whang, and C. Suh
ICLR 2021
[C03] Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
H. Wang, K. Sreenivasan, S. Rajput, H. Vishwakarma, S. Agarwal, J. Sohn, K. Lee, and D. Papailiopoulos
NeurIPS 2020
[C04] GANmixup: Augmenting Across Data Manifolds for Improved Robustness
J. Sohn, K. Lee, J. Moon, and D. Papailiopoulos
ICML Workshop on Uncertainty & Robustness in Deep Learning 2020
[C05] Reprogramming GANs via Input Noise Design
K. Lee, C. Suh, and K. Ramchandran
ECML PKDD 2020
[C06] FRTrain: A mutual informationbased approach to fair and robust training
Y. Roh, K. Lee, S. Whang, and C. Suh
ICML 2020
[C07] Improving Model Robustness via Automatically Incorporating Selfsupervision Tasks
D. Kim, K. Lee, and C. Suh
NeurIPS Workshop on MetaLearning (MetaLearn 2019) 2019
[C08] Synthesizing Differentially Private Datasets using Random Mixing
K. Lee, H. Kim, K. Lee, C. Suh, and K. Ramchandran
IEEE ISIT 2019
[C09] Crash to Not Crash: Learn to Identify Dangerous Vehicles using a Simulator
H. Kim*, K. Lee*, G. Hwang, and C. Suh
AAAI 2019 (oral presentation) Project website
[C10] Binary Rating Estimation with Graph Side Information
K. Ahn, K. Lee, H. Cha, and C. Suh
NeurIPS 2018
[C11] On the Joint Recovery of Community Structure and Community Features
J. Yoon, K. Lee, and C. Suh
Allerton Conference on Communication, Control and Computing 2018
[C12] Hierarchical Coding for Distributed Computing
H. Park, K. Lee, J. Sohn, C. Suh, and J. Moon
IEEE ISIT 2018
[C13] Stragglerproofing massivescale distributed matrix multiplication with ddimensional product codes
T. Baharav, K. Lee, O. Ocal, and K. Ramchandran
IEEE ISIT 2018
[C14] Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
K. Lee*, H. Kim*, and C. Suh
ICLR 2018
[C15] SGD on Random Mixtures: Private Machine Learning under Databreach Threats
K. Lee, K. Lee, H. Kim, C. Suh, and K. Ramchandran
ICLR Workshop, SysML 2018
[C16] UberShuffle: Communicationefficient Data Shuffling for SGD via Coding Theory
J. Chung, K. Lee, R. Pedarsani, D. Papailiopoulos, and K. Ramchandran
SysML 2018, NIPS Workshop on Machine Learning Systems 2017
[C17] Matrix Sparsification for Coded Matrix Multiplication
G. Suh, K. Lee, and C. Suh
Allerton Conference on Communication, Control and Computing 2017
[C18] Crash to not crash: Playing video games to predict vehicle collisions
K. Lee, H. Kim, and C. Suh
ICML Workshop on Machine Learning for Autonomous Vehicles 2017
[C19] Largescale and Interpretable Collaborative Filtering for Educational Data
K. Lee, J. Chung, and C. Suh
KDD Workshop on Advancing Education with Data 2017
[C20] HighDimensional Coded Matrix Multiplication
K. Lee, C. Suh, and K. Ramchandran
IEEE ISIT 2017
[C21] Coded Computation for Multicore Setups
K. Lee, R. Pedarsani, D. Papailiopoulos, and K. Ramchandran
IEEE ISIT 2017
[C22] Informationtheoretic Limits of Subspace Clustering
K. Ahn, K. Lee, and C. Suh
IEEE ISIT 2017
[C23] Asynchronous and Noncoherent Neighbor Discovery for the IoT Using SparseGraph Codes
K. Chandrasekher, K. Lee, P. Kairouz, R. Pedarsani, and K. Ramchandran
IEEE ICC 2017
[C24] Machine Learning Approaches for Learning Analytics: Collaborative Filtering or Regression With Experts?
K. Lee, J. Chung, Y. Cha, and C. Suh
NIPS Workshop on Machine Learning for Education 2016
[C25] Community Recovery in Hypergraphs
K. Ahn, K. Lee, and C. Suh
Allerton Conference on Communication, Control and Computing 2016
[C26] Speeding Up Distributed Machine Learning Using Codes
K. Lee, M. Lam, R. Pedarsani, and K. Ramchandran
NIPS Workshop on Machine Learning Systems 2015, IEEE ISIT 2016
[C27] SAFFRON: SparseGraph Code Framework for Group Testing
K. Lee, R. Pedarsani, and K. Ramchandran
IEEE ISIT 2016
[C28] On Scheduling Redundant Requests with Cancellation Overheads
K. Lee, R. Pedarsani, and K. Ramchandran
Allerton Conference on Communication, Control and Computing 2015
[C29] Sparse Covariance Estimation Based on SparseGraph Codes
R. Pedarsani, K. Lee, and K. Ramchandran
Allerton Conference on Communication, Control and Computing 2015
[C30] Fast and Robust Compressive Phase Retrieval with Sparse Graph Codes
D. Yin, K. Lee, and K. Ramchandran
IEEE ISIT 2015
[C31] CapacityApproaching PhaseCode for LowComplexity Compressive Phase Retrieval
R. Pedarsani, K. Lee, and K. Ramchandran
IEEE ISIT 2015
[C32] PhaseCode: Fast and Efficient Compressive Phase Retrieval based on SparseGraphCodes
R. Pedarsani, K. Lee, and K. Ramchandran
Allerton Conference on Communication, Control and Computing 2014
[C33] The MDS Queue: Analysing the Latency Performance of Codes
N. Shah, K. Lee, and K. Ramchandran
IEEE ISIT 2014
[C34] When Do Redundant Requests Reduce Latency?
N. Shah, K. Lee, and K. Ramchandran
Allerton Conference on Communication, Control and Computing 2013
[C35] A VoD System for Massively Scaled, Heterogeneous Environments: Design and Implementation
K. Lee, L. Yan, A. Parekh, and K. Ramchandran
IEEE MASCOTS 2013 (Best Paper Award finalist)
[C36] An Optimized Distributed VideoonDemand Streaming System: Theory and Design
K. Lee, H. Zhang, Z. Shao, M. Chen, A. Parekh, and K. Ramchandran
Allerton Conference on Communication, Control and Computing 2012
[C37] Codes for a Distributed Caching based VideoOnDemand System
S. Pawar, S. Rouayheb, H. Zhang, K. Lee, and K. Ramchandran
Asilomar Conference on Signals, Systems, and Computers 2011
[C38] Experiment evaluation of optimal CSMA
B. Nardelli, J. Lee, K. Lee, Y. Yi, S. Chong, E. Knightly, and M. Chiang
IEEE INFOCOM 2011
