Yinghao Yu

38 papers A* 3A 5B 2Misc 2Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dissecting Outlier Dynamics in LLM NVFP4 Pretraining.
CoRR
Peijie Dong, Ruibo Fan, Yuechen Tao, Di Mou, Wenhu Hu, Zhenheng Tang, Yinghao Yu, Jiamang Wang, Wenbo Su, Guodong Yang, Liping Zhang, Xiaowen Chu, Baochun Li, Bo Li
2026 A conf
FlashPS: Efficient Generative Image Editing with Mask-aware Caching and Scheduling.
EuroSys
Xiaoxiao Jiang, Suyi Li, Lingyun Yang, Tianyu Feng, Zhipeng Di, Weiyi Lu, Guoxuan Zhu, Xiu Lin, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang
2026 — conf
GFS: A Preemption-aware Scheduling Framework for GPU Clusters with Predictive Spot Instance Management.
ASPLOS (1)
Jiaang Duan, Shenglin Xu, Shiyou Qian, Dingyu Yang, Kangjin Wang, Chenzhi Liao, Yinghao Yu, Qin Hua, Hanwen Hu, Qi Wang, Wenchao Wu, Dongqing Bao, Tianyu Lu, Jian Cao, Guangtao Xue, Guodong Yang, Liping Zhang, Gang Chen
2026 A* conf
eGPU: Production-Scale Elastic Sharing Over 10,000 GPUs.
HPCA
Xiaochuan Tang, Hao Qi, Jianbo Dong, Yinghao Yu, Zhennan Xue, Zhengyu Zhang, Daocheng Ying, Zheng Cao, Xiaoyi Lu
2025 J jnl
Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation.
CoRR
Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang
2025 J jnl
Diving into 3D Parallelism with Heterogeneous Spot Instance GPUs: Design and Implications.
CoRR
Yuxiao Wang, Yuedong Xu, Qingyang Duan, Yuxuan Liu, Lei Jiao, Yinghao Yu, Jun Wu
2025 J jnl
EDGC: Entropy-driven Dynamic Gradient Compression for Efficient LLM Training.
CoRR
Qingao Yi, Jiaang Duan, Hanwen Hu, Qin Hua, Haiyan Zhao, Shiyou Qian, Dingyu Yang, Jian Cao, Jinghua Tang, Yinghao Yu, Chenzhi Liao, Kangjin Wang, Liping Zhang
2025 J jnl
GFS: A Preemption-aware Scheduling Framework for GPU Clusters with Predictive Spot Instance Management.
CoRR
Jiaang Duan, Shenglin Xu, Shiyou Qian, Dingyu Yang, Kangjin Wang, Chenzhi Liao, Yinghao Yu, Qin Hua, Hanwen Hu, Qi Wang, Wenchao Wu, Dongqing Bao, Tianyu Lu, Jian Cao, Guangtao Xue, Guodong Yang, Liping Zhang, Gang Chen
2025 Misc conf
GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale.
NSDI
Lingyun Yang, Yongchen Wang, Yinghao Yu, Qizhen Weng, Jianbo Dong, Kan Liu, Chi Zhang, Yanyi Zi, Hao Li, Zechao Zhang, Nan Wang, Yu Dong, Menglei Zheng, Lanlan Xi, Xiaowei Lu, Liang Ye, Guodong Yang, Binzhang Fu, Tao Lan, Liping Zhang, Lin Qu, Wei Wang
2025 — conf
GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale.
USENIX ATC
Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang
2025 J jnl
Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation.
CoRR
Tianyu Feng, Yizeng Han, Jiahao He, Yuanyu He, Xi Lin, Teng Liu, Hanfeng Lu, Jiasheng Tang, Wei Wang, Zhiyuan Wang, Jichao Wu, Mingyang Yang, Yinghao Yu, Zeyu Zhang, Bohan Zhuang
2025 J jnl
InstGenIE: Generative Image Editing Made Efficient with Mask-aware Caching and Scheduling.
CoRR
Xiaoxiao Jiang, Suyi Li, Lingyun Yang, Tianyu Feng, Zhipeng Di, Weiyi Lu, Guoxuan Zhu, Xiu Lin, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang
2025 — conf
Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters.
USENIX ATC
Suyi Li, Lingyun Yang, Xiaoxiao Jiang, Hanfeng Lu, Dakai An, Zhipeng Di, Weiyi Lu, Jiawei Chen, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang
2025 A conf
Reducing the End-to-End Latency of DNN-Based Recommendation Systems in GPU Pools.
IPDPS
Guangqiang Luan, Pu Pang, Quan Chen, Chen Chen, Guoyao Xu, Chi Zhang, Yanyi Zi, Yinghao Yu, Guodong Yang, Liping Zhang, Minyi Guo
2025 J jnl
RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training.
CoRR
Tianyuan Wu, Lunxi Cao, Yining Wei, Wei Gao, Yuheng Zhao, Dakai An, Shaopan Xiong, Zhiqiang Lv, Ju Huang, Siran Yang, Yinghao Yu, Jiamang Wang, Lin Qu, Wei Wang
2024 J jnl
FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training.
CoRR
Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang
2024 J jnl
SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules.
CoRR
Suyi Li, Lingyun Yang, Xiaoxiao Jiang, Hanfeng Lu, Zhipeng Di, Weiyi Lu, Jiawei Chen, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang
2023 — conf
Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent.
USENIX ATC
Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, Liping Zhang
2022 Misc conf
MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters.
NSDI
Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding
2022 J jnl
Missing Data Repairs for Traffic Flow With Self-Attention Generative Adversarial Imputation Net.
IEEE Trans. Intell. Transp. Syst.
Weibin Zhang, Pulin Zhang, Yinghao Yu, Xiying Li, Salvatore Antonio Biancardo, Junyi Zhang
2022 J jnl
Towards Dependency-Aware Cache Management for Data Analytics Applications.
IEEE Trans. Cloud Comput.
Yinghao Yu, Chengliang Zhang, Wei Wang, Jun Zhang, Khaled Ben Letaief
2022 — conf
Workload consolidation in alibaba clusters: the good, the bad, and the ugly.
SoCC
Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang, Cheng Wang, Jian He, Guodong Yang, Liping Zhang
2021 — conf
George: Learning to Place Long-Lived Containers in Large Clusters with Operation Constraints.
SoCC
Suyi Li, Luping Wang, Wei Wang, Yinghao Yu, Bo Li
2021 — conf
Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving.
SoCC
Luping Wang, Lingyun Yang, Yinghao Yu, Wei Wang, Bo Li, Xianchao Sun, Jian He, Liping Zhang
2020 J jnl
A Wireless Magnetic Resonance Device for Optogenetic Applications in an Animal Model.
Sensors
Arthur C. Tsai, Andrew Chih Wei Huang, Yinghao Yu, Chii-Shyang Kuo, Chih-Chan Hsu, Yeou San Lim, Bai-Chuang Shyu
2020 J jnl
Achieving Load-Balanced, Redundancy-Free Cluster Caching with Selective Partition.
IEEE Trans. Parallel Distributed Syst.
Yinghao Yu, Wei Wang, Renfei Huang, Jun Zhang, Khaled Ben Letaief
2020 A* conf
RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data.
INFOCOM
Minchen Yu, Yinghao Yu, Yunchuan Zheng, Baichen Yang, Wei Wang
2019 A conf
LACS: Load-Aware Cache Sharing with Isolation Guarantee.
ICDCS
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2018 A conf
OpuS: Fair and Efficient Cache Sharing for In-Memory Data Analytics.
ICDCS
Yinghao Yu, Wei Wang, Jun Zhang, Qizhen Weng, Khaled Ben Letaief
2018 A conf
SP-cache: load-balanced, redundancy-free cluster caching with selective partition.
SC
Yinghao Yu, Renfei Huang, Wei Wang, Jun Zhang, Khaled Ben Letaief
2017 B conf
LERC: Coordinated Cache Management for Data-Parallel Systems.
GLOBECOM
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2017 J jnl
LERC: Coordinated Cache Management for Data-Parallel Systems.
CoRR
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2017 J jnl
LRC: Dependency-Aware Cache Management for Data Analytics Clusters.
CoRR
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2017 A* conf
LRC: Dependency-aware cache management for data analytics clusters.
INFOCOM
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
2016 J jnl
Flow-Level QoE of Video Streaming in Wireless Networks.
IEEE Trans. Mob. Comput.
Yuedong Xu, Salah-Eddine Elayoubi, Eitan Altman, Rachid El Azouzi, Yinghao Yu
2016 B conf
Joint Subcarrier and CPU Time Allocation for Mobile Edge Computing.
GLOBECOM
Yinghao Yu, Jun Zhang, Khaled Ben Letaief
2016 J jnl
Joint Subcarrier and CPU Time Allocation for Mobile Edge Computing.
CoRR
Yinghao Yu, Jun Zhang, Khaled Ben Letaief
2014 J jnl
Flow Level QoE of Video Streaming in Wireless Networks.
CoRR
Yuedong Xu, Salah-Eddine Elayoubi, Eitan Altman, Rachid El Azouzi, Yinghao Yu