Kangwook Lee

Orcid: 0000-0002-3360-9678

Affiliations:
  • University of Wisconsin Madison, WI, USA
  • Korea Advanced Institute of Science and Technology, Daejeon, South Korea (2016 - 2019)
  • University of California Berkeley, CA, USA (PhD 2016)


According to our database1, Kangwook Lee authored at least 82 papers between 2011 and 2024.

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Bibliography

2024
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Dual Operating Modes of In-Context Learning.
CoRR, 2024

Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks.
CoRR, 2024

Can MLLMs Perform Text-to-Image In-Context Learning?
CoRR, 2024

2023
Looped Transformers are Better at Learning Learning Algorithms.
CoRR, 2023

Image Clustering Conditioned on Text Criteria.
CoRR, 2023

The Expressive Power of Low-Rank Adaptation.
CoRR, 2023

Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding.
CoRR, 2023

Mini-Batch Optimization of Contrastive Loss.
CoRR, 2023

Teaching Arithmetic to Small Transformers.
CoRR, 2023

Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization.
CoRR, 2023

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
CoRR, 2023

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Learning with Local Fairness Constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Improving Fair Training under Correlation Shifts.
Proceedings of the International Conference on Machine Learning, 2023

Looped Transformers as Programmable Computers.
Proceedings of the International Conference on Machine Learning, 2023

Optimizing DDPM Sampling with Shortcut Fine-Tuning.
Proceedings of the International Conference on Machine Learning, 2023

Equal Improvability: A New Fairness Notion Considering the Long-term Impact.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Prompted LLMs as Chatbot Modules for Long Open-domain Conversation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Addendum and Erratum to "The MDS Queue: Analysing the Latency Performance of Erasure Codes".
IEEE Trans. Inf. Theory, 2022

Outlier-Robust Group Inference via Gradient Space Clustering.
CoRR, 2022

A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets.
CoRR, 2022

Rare Gems: Finding Lottery Tickets at Initialization.
CoRR, 2022

Improved Input Reprogramming for GAN Conditioning.
CoRR, 2022

Rare Gems: Finding Lottery Tickets at Initialization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Debiasing Pre-Trained Language Models via Efficient Fine-Tuning.
Proceedings of the Second Workshop on Language Technology for Equality, 2022

Breaking Fair Binary Classification with Optimal Flipping Attacks.
Proceedings of the IEEE International Symposium on Information Theory, 2022

GenLabel: Mixup Relabeling using Generative Models.
Proceedings of the International Conference on Machine Learning, 2022

Permutation-Based SGD: Is Random Optimal?
Proceedings of the Tenth International Conference on Learning Representations, 2022

Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
The Roaming Edge and its Applications.
GetMobile Mob. Comput. Commun., 2021

Predicting vehicle collisions using data collected from video games.
Mach. Vis. Appl., 2021

Improving Fairness via Federated Learning.
CoRR, 2021

Sample Selection for Fair and Robust Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gradient Inversion with Generative Image Prior.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Gradient Communication via Critical Learning Regime Identification.
Proceedings of Machine Learning and Systems 2021, 2021

Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information.
Proceedings of the 38th International Conference on Machine Learning, 2021

Coded-InvNet for Resilient Prediction Serving Systems.
Proceedings of the 38th International Conference on Machine Learning, 2021

FairBatch: Batch Selection for Model Fairness.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Applying the Deep Learning Method for Simulating Outcomes of Educational Interventions.
SN Comput. Sci., 2020

Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification.
CoRR, 2020

Discrete-valued Preference Estimation with Graph Side Information.
CoRR, 2020

Reprogramming GANs via Input Noise Design.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

FR-Train: A Mutual Information-Based Approach to Fair and Robust Training.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing Based on Sparse-Graph Codes.
IEEE Trans. Signal Process., 2019

Community Recovery in Hypergraphs.
IEEE Trans. Inf. Theory, 2019

Synthesizing Differentially Private Datasets using Random Mixing.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Speeding Up Distributed Machine Learning Using Codes.
IEEE Trans. Inf. Theory, 2018

Simulating outcomes of interventions using a multipurpose simulation program based on the evolutionary causal matrices and Markov chain.
Knowl. Inf. Syst., 2018

Hypergraph Spectral Clustering in the Weighted Stochastic Block Model.
IEEE J. Sel. Top. Signal Process., 2018

Binary Rating Estimation with Graph Side Information.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hierarchical Coding for Distributed Computing.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Straggler-Proofing Massive-Scale Distributed Matrix Multiplication with D-Dimensional Product Codes.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

SGD on Random Mixtures: Private Machine Learning under Data Breach Threats.
Proceedings of the 6th International Conference on Learning Representations, 2018

Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings.
Proceedings of the 6th International Conference on Learning Representations, 2018

On the Joint Recovery of Community Structure and Community Features.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
On Scheduling Redundant Requests With Cancellation Overheads.
IEEE/ACM Trans. Netw., 2017

PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes.
IEEE Trans. Inf. Theory, 2017

The MDS Queue: Analysing the Latency Performance of Erasure Codes.
IEEE Trans. Inf. Theory, 2017

High-dimensional coded matrix multiplication.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Coded computation for multicore setups.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Information-theoretic limits of subspace clustering.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Asynchronous and noncoherent neighbor discovery for the IoT using sparse-graph codes.
Proceedings of the IEEE International Conference on Communications, 2017

Matrix sparsification for coded matrix multiplication.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Speeding up distributed storage and computing systems using codes.
PhD thesis, 2016

When Do Redundant Requests Reduce Latency?
IEEE Trans. Commun., 2016

SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Fast and robust compressive phase retrieval with sparse-graph codes.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Capacity-approaching PhaseCode for low-complexity compressive phase retrieval.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Sparse covariance estimation based on sparse-graph codes.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
The MDS queue: Analysing the latency performance of erasure codes.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

PhaseCode: Fast and efficient compressive phase retrieval based on sparse-graph codes.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
A VoD System for Massively Scaled, Heterogeneous Environments: Design and Implementation.
Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

2012
The MDS Queue
CoRR, 2012

An optimized distributed video-on-demand streaming system: Theory and design.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Experimental evaluation of optimal CSMA.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Codes for a distributed caching based Video-on-Demand system.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011


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