Join processing for flash SSDs: remembering past lessons. - Jaeyoung Do; Jignesh M. Patel (DaMoN, 2009)

Fast Statistical Alignment. - Robert K. Bradley; Adam Roberts; Michael E. Smoot; Sudeep Juvekar; Jaeyoung Do; Colin N. Dewey; Ian H. Holmes; Lior Pachter (PLoS Comput. Biol., 2009)

Turbocharging DBMS buffer pool using SSDs. - Jaeyoung Do; Donghui Zhang; Jignesh M. Patel; David J. DeWitt; Jeffrey F. Naughton; Alan Halverson (SIGMOD Conference, 2011)

Fast peak-to-peak behavior with SSD buffer pool. - Jaeyoung Do; Donghui Zhang; Jignesh M. Patel; David J. DeWitt (ICDE, 2013)

Query processing on smart SSDs: opportunities and challenges. - Jaeyoung Do; Yang-Suk Kee; Jignesh M. Patel; Chanik Park; Kwanghyun Park 001; David J. DeWitt (SIGMOD Conference, 2013)

Query Processing on Smart SSDs. - Kwanghyun Park 001; Yang-Suk Kee; Jignesh M. Patel; Jaeyoung Do; Chanik Park; David J. DeWitt (IEEE Data Eng. Bull., 2014)

Aggressive buffer pool warm-up after restart in SQL Server. - Kwanghyun Park 001; Jaeyoung Do; Nikhil Teletia; Jignesh M. Patel (ICDE Workshops, 2016)

MPP 2018 Keynote. - Vladimir Castro Alves; Jae Young Do (IPDPS Workshops, 2018)

Improving CPU I/O Performance via SSD Controller FTL Support for Batched Writes. - Jaeyoung Do; David B. Lomet; Ivan Luiz Picoli (DaMoN, 2019)

Programmable solid-state storage in future cloud datacenters. - Jaeyoung Do; Sudipta Sengupta; Steven Swanson (Commun. ACM, 2019)

Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS. - Yinjun Wu; Kwanghyun Park 001; Rathijit Sen; Brian Kroth; Jaeyoung Do (DaMoN, 2020)

ALEX: An Updatable Adaptive Learned Index. - Jialin Ding 001; Umar Farooq Minhas; Jia Yu 001; Chi Wang 001; Jaeyoung Do; Yinan Li; Hantian Zhang; Badrish Chandramouli; Johannes Gehrke; Donald Kossmann; David B. Lomet; Tim Kraska (SIGMOD Conference, 2020)

Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications. - Jae Young Do; Victor da Cruz Ferreira; Hossein Bobarshad; Mahdi Torabzadehkashi; Siavash Rezaei; Ali Heydarigorji; Diego Fonseca Pereira de Souza; Brunno F. Goldstein; Leandro Santiago 001; Min Soo Kim 009; Priscila M. V. Lima; Felipe M. G. França; et al. (ACM Trans. Storage, 2020)

Computational Storage: Where Are We Today? - Antonio Barbalace; Jaeyoung Do (CIDR, 2021)

Accelerating Large-Scale Nearest Neighbor Search with Computational Storage Device. - Ji-Hoon Kim 004; Yeo-Reum Park; Jaeyoung Do; Soo Young Ji; Joo-Young Kim 001 (FCCM, 2021)

Programming an SSD Controller to Support Batched Writes for Variable-Size Pages. - Jaeyoung Do; Chen Luo 002; David B. Lomet (ICDE, 2021)

Better database cost/performance via batched I/O on programmable SSD. - Jaeyoung Do; Ivan Luiz Picoli; David B. Lomet; Philippe Bonnet (VLDB J., 2021)

Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems. - Minseok Kim; Jinoh Oh; Jaeyoung Do; Sungjin Lee (CIKM, 2022)

A Dual-Mode Similarity Search Accelerator based on Embedding Compression for Online Cross-Modal Image-Text Retrieval. - Yeo-Reum Park; Ji-Hoon Kim 004; Jaeyoung Do; Joo-Young Kim 001 (FCCM, 2022)

Accelerating Large-Scale Graph-based Nearest Neighbor Search on a Computational Storage Platform. - Ji-Hoon Kim 004; Yeo-Reum Park; Jaeyoung Do; Soo Young Ji; Joo-Young Kim 001 (CoRR, 2022)

Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems. - Sarthak Ahuja; Mohammad Kachuee; Fatemeh Sheikholeslami; Weiqing Liu; Jaeyoung Do (ACL (industry), 2023)

Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. - Jisoo Mok; Jaeyoung Do; Sungjin Lee; Tara Taghavi; Seunghak Yu; Sungroh Yoon (ACL (1), 2023)

Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space. - Siwon Kim; Jinoh Oh; Sungjin Lee; Seunghak Yu; Jaeyoung Do; Tara Taghavi (CVPR, 2023)

Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency. - Jungbeom Lee; Sungjin Lee; Jinseok Nam; Seunghak Yu; Jaeyoung Do; Tara Taghavi (ICCV, 2023)

Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems. - Ting-Wei Wu; Fatemeh Sheikholeslami; Mohammad Kachuee; Jaeyoung Do; Sungjin Lee (CoRR, 2023)

Accelerating Large-Scale Graph-Based Nearest Neighbor Search on a Computational Storage Platform. - Ji-Hoon Kim 004; Yeo-Reum Park; Jaeyoung Do; Soo-Young Ji; Joo-Young Kim 001 (IEEE Trans. Computers, 2023)

Extending and Programming the NVMe I/O Determinism Interface for Flash Arrays. - Huaicheng Li; Martin L. Putra; Ronald Shi; Fadhil I. Kurnia; Xing Lin; Jaeyoung Do; Achmad Imam Kistijantoro; Gregory R. Ganger; Haryadi S. Gunawi (ACM Trans. Storage, 2023)

Aligning Large Language Models via Fine-grained Supervision. - Dehong Xu; Liang Qiu; Minseok Kim; Faisal Ladhak; Jaeyoung Do (ACL (Short Papers), 2024)

AscleAI: A LLM-based Clinical Note Management System for Enhancing Clinician Productivity. - Jiyeon Han; Jimin Park; Jinyoung Huh; Uran Oh; Jaeyoung Do; Daehee Kim (CHI Extended Abstracts, 2024)

MathBridge: A Large Corpus Dataset for Translating Spoken Mathematical Expressions into LaTeX Formulas for Improved Readability. - Kyudan Jung; Sieun Hyeon; Jeong Youn Kwon; Nam-Joon Kim; Hyun Gon Ryu; Hyuk-Jae Lee; Jaeyoung Do (CoRR, 2024)

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula. - Sieun Hyeon; Kyudan Jung; Jaehee Won; Nam-Joon Kim; Hyun Gon Ryu; Hyuk-Jae Lee; Jaeyoung Do (AAAI, 2025)

MathReader : Text-to-Speech for Mathematical Documents. - Sieun Hyeon; Kyudan Jung; Nam-Joon Kim; Hyun Gon Ryu; Jaeyoung Do (ICASSP, 2025)

SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding. - Woohyeon Park; Woojin Kim; Jaeik Kim; Jaeyoung Do (CoRR, 2025)