Kangwook Lee
Assistant Professor
Department of Electrical and Computer Engineering
Department of Computer Sciences (by courtesy)
University of Wisconsin-Madison
Affiliations:
MLOPT Research Group
Institute for Foundations of Data Science (IFDS)
Email: +first_name.last_name+ at +wisc dot edu
Office: M1002G, Engineering Centers Building
Phone: +1-608-265-4841
Webpage, (by publication date) (by citation)
News
- (Mar. 2022) 2022 KSEA Young Investigator Grants.
New preprints
- (Apr. 2022) Breaking Fair Binary Classification with Optimal Flipping Attacks.
- (Feb. 2022) Rare Gems: Finding Lottery Tickets at Initialization.
- (Jan. 2022) Improved Input Reprogramming for GAN Conditioning.
- (Jan. 2022) GenLabel: Mixup Relabeling using Generative Models.
- (Oct. 2021) Improving Fairness via Federated Learning.
New publications
- (May 2022) One paper is accepted to ICML 2022.
- GenLabel: Mixup Relabeling using Generative Models
- (Apr. 2022) One paper is accepted to ISIT 2022
- Breaking Fair Binary Classification with Optimal Flipping Attacks
- (Apr. 2022) One paper is published to GetMobile: Mobile Computing and Communications
- The Roaming Edge and its Applications
- (Mar. 2022) One paper is accepted to ACL 2022 Workshop LT-EDI
- Debiasing Pre-Trained Language Models via Efficient Fine-tuning
- (Jan. 2022) One paper is accepted to ICLR 2022.
- Permutation-Based SGD: Is Random Optimal?
- (Jan. 2022) Two papers are accepted to FL-AAAI-22.
- Federated Unsupervised Clustering with Generative Models
- Improving Fairness via Federated Learning
- (Sep. 2021) Two papers are accepted to NeurIPS 2021.
- Sample Selection for Fair and Robust Training
- Gradient Inversion with Generative Image Prior
- (June 2021) Two papers are accepted to ICML 2021 Workshops.
- Gradient Inversion with Generative Image Prior
- Empirical Study on the Effective VC Dimension of Low-rank Neural Networks
- (May 2021) Two papers are accepted to ICML 2021.
- Coded-InvNet for Resilient Prediction Serving Systems long oral
- Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
- (Jan. 2021) One paper is accepted to MLSys 2021.
- Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification.
- (Jan. 2021) One paper is accepted to ICLR 2021.
- FairBatch: Batch Selection for Model Fairness
Invited talk
- 2022
- (Apr) USC EE, “On a bilevel optimization approach to fair classification”
- (Apr) UC Santa Barbara CCDC Seminar Series, “On a bilevel optimization approach to fair classification”
- (Mar) KAIST EE Colloquium, “On Trustworthy and Scalable Machine Learning”
- (Mar) Informs Optimization Soceity conference 2022, “On a bilevel optimization approach to fair classification”
- (Feb) UC Berkekley BLISS Seminar Series, “Improving Fairness via Federated Learning”
- 2011
- (Dec) KAIST AI International Symposium, “Improving Fairness via Federated Learning”
- (Oct) KRAFTON Developer Connect, “On Trustworthy Machine Learning”
- (Sep) Visiting Professor Series, American Family Insurance.
- (Jun) AI institute of POSTECH, “Information Theory and Coding for Trustworthy and Scalable Machine Learning”
- (Jun) The Shannon meets Turing Colloquium @ Seoul National University, “Information Theory and Coding for Trustworthy and Scalable Machine Learning”
- (Jun) KRAFTON, Inc. and Furiosa.ai, “Recent Trends of AI Research”
- (Apr) IFDS Ethics & Algorithms SIG, “Fairness in AI”
- (Feb) Invited lecture on Fairness in AI as a part of Lectures on Machine Learning based ICT, Korea Information and Communications Society