Confident Multiple Choice Learning. - Kimin Lee; Changho Hwang; KyoungSoo Park; Jinwoo Shin (ICML, 2017)

APUNet: Revitalizing GPU as Packet Processing Accelerator. - Younghwan Go; Muhammad Asim Jamshed; YoungGyoun Moon; Changho Hwang; KyoungSoo Park (NSDI, 2017)

Cell Attachment on Inside-Outside Surface and Cell Encapsulation in Wall of Microscopic Tubular Scaffolds for Vascular Tissue-Like Formation. - Van Thuy Duong; Thi Thao Dang; Yeasol Lee; Chanh Trung Nguyen; Huu Lam Phan; Daehyeon Shin; YongKwan Lee; Hodong Park; HyoSeok Lee; Hyewon Son; Hojeong Jang; Seok Oh; et al. (EMBC, 2018)

Online Adjustment of Two-stage Inference for Knowledge Caching. - Geonha Park; Changho Hwang (RiTA, 2019)

Accelerating GNN training with locality-aware partial execution. - Taehyun Kim; Changho Hwang; KyoungSoo Park; Zhiqi Lin; Peng Cheng 005; Youshan Miao; Lingxiao Ma; Yongqiang Xiong (APSys, 2021)

Elastic Resource Sharing for Distributed Deep Learning. - Changho Hwang; Taehyun Kim; Sunghyun Kim; Jinwoo Shin; KyoungSoo Park (NSDI, 2021)

Tutel: Adaptive Mixture-of-Experts at Scale. - Changho Hwang; Wei Cui; Yifan Xiong 001; Ziyue Yang; Ze Liu; Han Hu 001; Zilong Wang; Rafael Salas; Jithin Jose; Prabhat Ram; Joe Chau; Peng Cheng 005; et al. (MLSys, 2023)

ARK: GPU-driven Code Execution for Distributed Deep Learning. - Changho Hwang; KyoungSoo Park; Ran Shu 001; Xinyuan Qu; Peng Cheng 005; Yongqiang Xiong (NSDI, 2023)

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. - Ranggi Hwang; Jianyu Wei; Shijie Cao; Changho Hwang; Xiaohu Tang; Ting Cao; Mao Yang 004 (ISCA, 2024)

ForestColl: Efficient Collective Communications on Heterogeneous Network Fabrics. - Liangyu Zhao; Saeed Maleki; Ziyue Yang; Hossein Pourreza; Aashaka Shah; Changho Hwang; Arvind Krishnamurthy (CoRR, 2024)

Alchemist: Towards the Design of Efficient Online Continual Learning System. - Yuyang Huang; Yuhan Liu; Haryadi S. Gunawi; Beibin Li; Changho Hwang (CoRR, 2025)

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications. - Aashaka Shah; Abhinav Jangda; Binyang Li; Caio Rocha; Changho Hwang; Jithin Jose; Madan Musuvathi; Olli Saarikivi; Peng Cheng 005; Qinghua Zhou; Roshan Dathathri; Saeed Maleki; et al. (CoRR, 2025)