SOUP-N-SALAD: Allocation-Oblivious Access Latency Reduction with Asymmetric DRAM Microarchitectures. - Yuhwan Ro; Hyunyoon Cho; Eojin Lee; Daejin Jung; Young Hoon Son; Jung Ho Ahn; Jae W. Lee (HPCA, 2017)

Work as a team or individual: Characterizing the system-level impacts of main memory partitioning. - Eojin Lee; Jongwook Chung; Daejin Jung; Sukhan Lee 002; Sheng Li 007; Jung Ho Ahn (IISWC, 2017)

TWiCe: Time Window Counter Based Row Refresh to Prevent Row-Hammering. - Eojin Lee; Sukhan Lee 002; G. Edward Suh; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2018)

TWiCe: preventing row-hammering by exploiting time window counters. - Eojin Lee; Ingab Kang; Sukhan Lee 002; G. Edward Suh; Jung Ho Ahn (ISCA, 2019)

Graphene: Strong yet Lightweight Row Hammer Protection. - Yeonhong Park; Woosuk Kwon; Eojin Lee; Tae Jun Ham; Jung Ho Ahn; Jae W. Lee (MICRO, 2020)

CAT-TWO: Counter-Based Adaptive Tree, Time Window Optimized for DRAM Row-Hammer Prevention. - Ingab Kang; Eojin Lee; Jung Ho Ahn (IEEE Access, 2020)

HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization. - Wonkyung Jung; Eojin Lee; Sangpyo Kim; Keewoo Lee; Namhoon Kim; Chohong Min; Jung Hee Cheon; Jung Ho Ahn (CoRR, 2020)

MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks. - Byeongho Kim; Jongwook Chung; Eojin Lee; Wonkyung Jung; Sunjung Lee; Jaewan Choi; Jaehyun Park 006; Minbok Wi; Sukhan Lee 002; Jung Ho Ahn (IEEE Trans. Computers, 2020)

GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. - Heesu Kim; Hanmin Park; Taehyun Kim; Kwanheum Cho; Eojin Lee; Soojung Ryu; Hyuk-Jae Lee; Kiyoung Choi; Jinho Lee 001 (HPCA, 2021)

Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology : Industrial Product. - Sukhan Lee 002; Shinhaeng Kang; Jaehoon Lee 005; Hyeonsu Kim; Eojin Lee; Seungwoo Seo; Hosang Yoon; Seungwon Lee; Kyounghwan Lim; Hyunsung Shin; Jinhyun Kim; Seongil O; et al. (ISCA, 2021)

Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization. - Wonkyung Jung; Eojin Lee; Sangpyo Kim; Namhoon Kim; Keewoo Lee; Chohong Min; Jung Hee Cheon; Jung Ho Ahn (ISPASS, 2021)

MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework. - Deok-Jae Oh; Yaebin Moon; Eojin Lee; Tae Jun Ham; Yongjun Park 001; Jae W. Lee; Jung Ho Ahn (LCTES, 2021)

TRiM: Enhancing Processor-Memory Interfaces with Scalable Tensor Reduction in Memory. - Jaehyun Park 006; Byeongho Kim; Sungmin Yun 001; Eojin Lee; Minsoo Rhu; Jung Ho Ahn (MICRO, 2021)

Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization. - Wonkyung Jung; Eojin Lee; Sangpyo Kim; Jongmin Kim 007; Namhoon Kim; Keewoo Lee; Chohong Min; Jung Hee Cheon; Jung Ho Ahn (IEEE Access, 2021)

TRiM: Tensor Reduction in Memory. - Byeongho Kim; Jaehyun Park 006; Eojin Lee; Minsoo Rhu; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2021)

A Deep Learning Model Using Satellite Ocean Color and Hydrodynamic Model to Estimate Chlorophyll-a Concentration. - Daeyong Jin; Eojin Lee; Kyonghwan Kwon; Taeyun Kim (Remote. Sens., 2021)

An FPGA-based RNN-T Inference Accelerator with PIM-HBM. - Shinhaeng Kang; Sukhan Lee 002; Byeongho Kim; Hweesoo Kim; Kyomin Sohn; Nam Sung Kim; Eojin Lee (FPGA, 2022)

GraNDe: Near-Data Processing Architecture With Adaptive Matrix Mapping for Graph Convolutional Networks. - Sungmin Yun 001; Byeongho Kim; Jaehyun Park 006; Hwayong Nam; Jung Ho Ahn; Eojin Lee (IEEE Comput. Archit. Lett., 2022)

SHADOW: Preventing Row Hammer in DRAM with Intra-Subarray Row Shuffling. - Minbok Wi; Jaehyun Park 006; Seoyoung Ko; Michael Jaemin Kim; Nam Sung Kim; Eojin Lee; Jung Ho Ahn (HPCA, 2023)

How to Kill the Second Bird with One ECC: The Pursuit of Row Hammer Resilient DRAM. - Michael Jaemin Kim; Minbok Wi; Jaehyun Park 006; Seoyoung Ko; Jaeyoung Choi; Hwayong Nam; Nam Sung Kim; Jung Ho Ahn; Eojin Lee (MICRO, 2023)

ADT: Aggressive Demotion and Promotion for Tiered Memory. - Yaebin Moon; Wanju Doh; Kwanhee Kyung; Eojin Lee; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2023)

MaPHeA: A Framework for Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation. - Deok-Jae Oh; Yaebin Moon; Do Kyu Ham; Tae Jun Ham; Yongjun Park 001; Jae W. Lee; Jung Ho Ahn; Eojin Lee (ACM Trans. Embed. Comput. Syst., 2023)

IDT: Intelligent Data Placement for Multi-tiered Main Memory with Reinforcement Learning. - Juneseo Chang; Wanju Doh; Yaebin Moon; Eojin Lee; Jung Ho Ahn (HPDC, 2024)

CLAY: CXL-based Scalable NDP Architecture Accelerating Embedding Layers. - Sungmin Yun 001; Hwayong Nam; Kwanhee Kyung; Jaehyun Park 006; Byeongho Kim; Yongsuk Kwon; Eojin Lee; Jung Ho Ahn (ICS, 2024)

Architecting Compatible PIM Protocol for CPU-PIM Collaboration. - Seunghyuk Yu; Hyeonu Kim; Kyoungho Jeun; Sunyoung Hwang; Eojin Lee (IEEE Comput. Archit. Lett., 2024)

GraNDe: Efficient Near-Data Processing Architecture for Graph Neural Networks. - Sungmin Yun 001; Hwayong Nam; Jaehyun Park 006; Byeongho Kim; Jung Ho Ahn; Eojin Lee (IEEE Trans. Computers, 2024)

PET: Proactive Demotion for Efficient Tiered Memory Management. - Wanju Doh; Yaebin Moon; Seoyoung Ko; Seunghwan Chung; Kwanhee Kyung; Eojin Lee; Jung Ho Ahn (EuroSys, 2025)

Fold-PIM: A Cost-Efficient LPDDR5-Based PIM for On-Device SLMs. - Kyoungho Jeun; Hyeonu Kim; Eojin Lee (IEEE Comput. Archit. Lett., 2025)