Changho Hwang - RankMe

17 papers A* 2Misc 3Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	MSCCL++: Rethinking GPU Communication Abstractions for AI Inference. ASPLOS (2) Changho Hwang, Peng Cheng, Roshan Dathathri, Abhinav Jangda, Saeed Maleki, Madan Musuvathi, Olli Saarikivi, Aashaka Shah, Ziyue Yang, Binyang Li, Caio Rocha, Qinghua Zhou, Mahdieh Ghazimirsaeed, Sreevatsa Anantharamu, Jithin Jose
2025	J	`jnl`	Alchemist: Towards the Design of Efficient Online Continual Learning System. CoRR Yuyang Huang, Yuhan Liu, Haryadi S. Gunawi, Beibin Li, Changho Hwang
2025	J	`jnl`	Learning to Generate Unit Test via Adversarial Reinforcement Learning. CoRR Dongjun Lee, Changho Hwang, Kimin Lee
2025	J	`jnl`	MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications. CoRR Aashaka Shah, Abhinav Jangda, Binyang Li, Caio Rocha, Changho Hwang, Jithin Jose, Madan Musuvathi, Olli Saarikivi, Peng Cheng, Qinghua Zhou, Roshan Dathathri, Saeed Maleki, Ziyue Yang
2024	J	`jnl`	ForestColl: Efficient Collective Communications on Heterogeneous Network Fabrics. CoRR Liangyu Zhao, Saeed Maleki, Ziyue Yang, Hossein Pourreza, Aashaka Shah, Changho Hwang, Arvind Krishnamurthy
2024	A*	`conf`	Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. ISCA Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
2023	Misc	`conf`	ARK: GPU-driven Code Execution for Distributed Deep Learning. NSDI Changho Hwang, KyoungSoo Park, Ran Shu, Xinyuan Qu, Peng Cheng, Yongqiang Xiong
2023	J	`jnl`	Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. CoRR Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
2023	—	`conf`	Tutel: Adaptive Mixture-of-Experts at Scale. MLSys Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
2022	J	`jnl`	Tutel: Adaptive Mixture-of-Experts at Scale. CoRR Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
2021	—	`conf`	Accelerating GNN training with locality-aware partial execution. APSys Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong
2021	Misc	`conf`	Elastic Resource Sharing for Distributed Deep Learning. NSDI Changho Hwang, Taehyun Kim, Sunghyun Kim, Jinwoo Shin, KyoungSoo Park
2019	—	`conf`	Online Adjustment of Two-stage Inference for Knowledge Caching. RiTA Geonha Park, Changho Hwang
2018	—	`conf`	Cell Attachment on Inside-Outside Surface and Cell Encapsulation in Wall of Microscopic Tubular Scaffolds for Vascular Tissue-Like Formation. EMBC 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, Sung Hoon Back, Changho Hwang, Kyoin Koo
2017	Misc	`conf`	APUNet: Revitalizing GPU as Packet Processing Accelerator. NSDI Younghwan Go, Muhammad Asim Jamshed, YoungGyoun Moon, Changho Hwang, KyoungSoo Park
2017	A*	`conf`	Confident Multiple Choice Learning. ICML Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin
2017	J	`jnl`	Confident Multiple Choice Learning. CoRR Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin