News
2024
[2024/6] Gave the keynote talk Towards a Holistic Framework for Data-centric Responsible AI at the Guide-AI workshop @ ACM SIGMOD 2024.
[2024/5] RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks accepted to ACM SIGKDD 2024 (Top Data Mining conference). Congrats Seong-Hyeon Hwang and Minsu Kim!
[2024/5] LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views accepted to ICML 2024 (Top Machine Learning conference). Congrats Yuji Roh!
[2024/4] The IEEE Data Engineering Bulletin 2024 March Special Issue on Data-centric Responsible AI is now available.
[2024/3] Seungjun Oh joined our lab. Welcome!
[2024/3] Promoted to Tenured Associate Professor
[2024/2] Ki Hyun Tae and Yuji Roh are the first Ph.D. graduates from our lab. Congrats and looking forward to a very bright future!
2023
[2023/12] Falcon: Fair Active Learning using Multi-armed Bandits accepted to VLDB 2024 (Top Database conference). Congrats Ki Hyun Tae and Jaeyoung Park!
[2023/12] Serving as an Associate Editor for VLDB 2025 (PVLDB Volume 18; Top Database conference)
[2023/12] Quilt: Robust Data Segment Selection against Concept Drifts accepted to AAAI 2024 (Top AI conference). Congrats Minsu Kim and Seong-Hyeon Hwang!
[2023/11] Serving as an Associate Editor for the IEEE TKDE journal (Top Database/Data Mining journal; currently only editor from Korea)
[2023/11] The second NYU-KAIST Inclusive AI Center workshop was held at NYU.
[2023/10] Supported by a new Google Research Award for a year in collaboration with the TensorFlow Extended (TFX) team!
[2023/8] The NYU-KAIST Inclusive AI Center workshop was held at KAIST.
[2023/6] Yuji Roh is a research intern at Google DeepMind & Youtube during the summer.
[2023/4] Improving Fair Training under Correlation Shifts accepted to ICML 2023 (Top Machine Learning conference). Congrats Yuji Roh!
[2023/4] Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data accepted to Transactions on Machine Learning Research (TMLR), a new Machine Learning journal. Congrats Yuji Roh!
[2023/3] Gave a tech talk on Responsible AI to the Google TensorFlow Extended (TFX) US and Korea teams.
[2022/3] Kahee Lim and Jio Oh joined our lab. Welcome!
2022
[2022/12] Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective accepted to the VLDB Journal (Top Database journal). Congrats Yuji Roh!
[2022/11] Gave a tech talk on Responsible AI to Microsoft Research Asia.
[2022/11] Two papers Redactor: A Data-centric and Individualized Defense Against Inference Attacks and XClusters: Explainability-first Clustering were accepted to AAAI 2023 (Top AI conference). Congrats Geon Heo and Hyunseung Hwang!
[2022/10] Yuji Roh is a recipient of the prestigious Microsoft Research PhD Fellowship 2022. She is among 36 students worldwide and the only recipient from universities in Korea. Congrats Yuji Roh! (KAIST article English & Korean, interview)
[2022/10] Received a KAIST EE Best Teaching Award for EE477 Database and Big Data Systems, Spring 2022 (# students: 64, course rating: 4.84/5, which is highest among all KAIST EE undergrad courses). Supported by a Google Cloud Platform (GCP) Education Grant.
[2022/8] iFlipper: Label Flipping for Individual Fairness accepted to ACM SIGMOD 2023 (Top Database conference). Congrats Ki Hyun Tae and Jaeyoung Park!
[2022/6] Supported the ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022) as a Volunteers Co-Chair with all my students being volunteers. There were >120 student volunteers in total. Nice work all!
[2022/6] Yuji Roh is a research intern at NVIDIA Research during the summer.
[2022/6] Supported by a Google Research Award for a year in collaboration with the TensorFlow Extended (TFX) team!
[2022/4] Supported by the Institute for Information & communication Technology Planning & evaluation (IITP) for 5 years (Human-centered AI core technology R&D)
[2022/4] Yuji Roh was awarded the KAIST EE 2021 Best Research Achievement Award (Among 6 in KAIST EE, 1 in Computer Division). Congrats Yuji!
[2022/3] Junseok Seo and Chanho Lee joined our lab. Welcome!
[2022/3] Supported by the National Research Foundation of Korea for 5 years (Mid-Career Researcher Program, PI, Data-centric Trustworthy AI)
2021
[2021/12] Gave the talk Responsible AI: Model-centric and Data-centric Approaches at the AI & Fairness panel @ KAIST International Symposium on AI and Future Society with Tulsee Doshi (Head of Product, Google), Kangwook Lee (Professor, Univ. Wisconsin Madison), Been Kim (Research Scientist, Google Brain), and Changho Suh (Professor, KAIST).
[2021/9] Sample Selection for Fair and Robust Training accepted to NeurIPS 2021 (Top Machine Learning conference). Congrats Yuji Roh! Yuji now has first-author papers in ICML'20, ICLR'21, and NeurIPS'21.
[2021/8] My students recently gave some awesome talks: Geon Heo on Inspector Gadget @ VLDB'21 (Top DB conference), Ki Hyun Tae on Slice Tuner @ SIGMOD'21 (Top DB conference), and Yuji Roh on FairBatch @ ICLR'21 (Top ML conference). More details in the Videos tab.
[2021/8] Gave a keynote talk at the Workshop on Data Quality Assessment for Machine Learning (DQAML) @ ACM SIGKDD Conference and a tutorial at ACM SIGKDD Conference (Top Data Mining conference)
[2021/7] Taught my new course EE477 Database and Big Data Systems for 3 years (course ratings 2019~2021: 4.42 -> 4.62 -> 4.7 /5) with a total of ~200 students enrolled. Grateful for being supported by the Google Cloud Platform (GCP) Education Grant. Many thanks to my trusty TAs!
[2021/5] Machine Learning Robustness, Fairness, and their Convergence tutorial proposal accepted to ACM SIGKDD 2021 (Top Data Mining conference). Co-presenting with Jae-Gil Lee, Yuji Roh, and Hwanjun Song. Congrats Yuji!
[2021/4] Soyeon Kim was awarded the Eunjongkwan scholarship (among 2 new MS students in KAIST EE for academic excellence). Congrats Soyeon!
[2021/3] FR-Train: Fair and Robust Training for Trustworthy AI research featured on KAIST Breakthroughs webzine Spring '21 (Credits: Yuji Roh)
[2021/3] Soyeon Kim and Jaeyoung Park joined our lab. Welcome!
[2021/2] Supported by the National Research Foundation of Korea for a year (Young Researcher Program, PI, Selective Data Acquisition for Accurate and Fair Machine Learning)
[2021/1] Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models accepted to ACM SIGMOD 2021 (Top Database conference). Congrats Ki Hyun Tae!
[2021/1] FairBatch: Batch Selection for Model Fairness accepted to ICLR 2021 (Top Machine Learning conference). Congrats Yuji Roh!
2020
[2020/12] Yuji Roh won the Qualcomm Innovation Fellowship Korea 2020 (among 23 students in Korea and 10 in KAIST EE). Congrats Yuji!
[2020/10] Supported by a Google AI Focused Research Award for a third year after evaluation (KAIST press Korean and English)
[2020/10] Gave the talk Responsible AI Techniques for Model Training and Data Acquisition @ Stanford University Hazy Research (Chris Re's group)
[2020/9] Geon Heo was awarded a KAIST EE Best TA Award
[2020/9] Promoted to Associate Professor
[2020/8] Gave the Google TechTalk Responsible AI Techniques for Model Training and Data Acquisition @ Google APAC Academic Research Talk Series (attendance: 90, overall satisfaction: 4.75/5)
[2020/8] Inspector Gadget: A Data Programming-based Labeling System for Industrial Images accepted to VLDB 2021 (Top Database conference). Congrats Geon Heo, Yuji Roh, Seong-Hyeon Hwang, and Dayun Lee!
[2020/7] Open-world COVID-19 Data Visualization (Extended Abstract) accepted to DMAH @ VLDB 2020 Workshop. Congrats Hyunseung Hwang!
[2020/6] Yuji Roh was awarded a KAIST EE Best TA Award
[2020/6] FR-Train: A Mutual Information-based Approach to Fair and Robust Training accepted to ICML 2020 (Top Machine Learning conference). Congrats Yuji Roh!
[2020/5] Data Collection and Quality Challenges for Deep Learning tutorial proposal accepted to VLDB 2020 (Top Database conference). Co-presenting with Jae-Gil Lee.
[2020/5] SK Hynix - KAIST Open AI Collaboration MOU (Director, open collaboration is first of its kind in Korea, press 1, press 2)
[2020/3] Appointed as Kwon Oh-Hyun (Co-Chairman, Samsung Electronics) Assistant Professor (Among 4 in KAIST, 1 in KAIST EE)
[2020/3] Minsu Kim joined our lab. Welcome!
[2020/2] Yuji Roh and Ki Hyun Tae gave a TechTalk on Responsible AI to the TensorFlow team @ Google Korea
2019
[2019/12] Supported by SK Hynix (SK Hynix - KAIST AI Data Analysis Research) and Samsung Electronics (Deep learning for semiconductors)
[2019/11] Supported by a Google AI Focused Research Award for a second year after evaluation (KAIST press)
[2019/10] A Survey on Data Collection for Machine Learning paper accepted to IEEE TKDE (Top Data Mining journal). Congrats Yuji Roh and Geon Heo!
[2019/10] Ki Hyun Tae was awarded a KAIST EE Best TA Award, and Min Su Kim was awarded a KAIST EE Fellowship
[2019/9] Hyunseung Hwang joined our lab. Welcome!
[2019/8] Received a KAIST EE Best Paper Award (Top-3 citations contributor to university ranking within KAIST EE)
[2019/7] Co-Chair of the Google-KAIST Partnership (Google Korea blog, KAIST press)
[2019/7] General Co-Chair of the Data Management for End-to-End Machine Learning DEEM@ACM SIGMOD workshop 2020
[2019/4] PC Vice Chair for IEEE ICDE 2020 (Top-3 Database conference)
[2019/4] Automated Data Slicing for Model Validation paper accepted to IEEE TKDE (Top Data Mining journal). Congrats Ki Hyun Tae!
[2019/4] Data Cleaning for Accurate, Fair, and Robust Models paper accepted to DEEM@ACM SIGMOD 2019. Congrats Ki Hyun Tae and Yuji Roh!
[2019/3] Seonghyeon Hwang and Dayun Lee joined our lab. Welcome!
[2019/2] Committee member for the KAIST AI Graduate School (first of its kind in Korea, press 1, press 2, press 3)
2018
[2018/9] Recipient of a Google AI Focused Research Award (first in Asia, press)
[2018/8] Byungkyu Lee joined our lab. Welcome!
[2018/8] Slice Finder: Automated Data Slicing for Model Validation paper accepted to IEEE ICDE 2019 (top-3 Database conference)
[2018/8] Supported by the National Research Foundation of Korea through the AI ERC program for 6 years (KAIST MARS AI Integrated Research Center)
[2018/6] Invited talk and panel at the AI with Google Conference (homepage, press 1, press 2, slides) with Jeff Dean
[2018/6] Yuji Roh joined our lab. Welcome!
[2018/5] Data Lifecycle Challenges in Production Machine Learning: A Survey paper accepted to ACM SIGMOD Record (SCIE)
[2018/2] Geon Heo and Ki Hyun Tae joined our lab. Welcome!