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ORCIDYinghao Yu
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Publications
- 2026
[c21]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:
GFS: A Preemption-aware Scheduling Framework for GPU Clusters with Predictive Spot Instance Management. ASPLOS (1) 2026: 117-131- [c20]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:
FlashPS: Efficient Generative Image Editing with Mask-aware Caching and Scheduling. EuroSys 2026: 2109-2125 - [c18]Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang:
Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training. NSDI 2026: 591-607 - [i17]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:
Dissecting Outlier Dynamics in LLM NVFP4 Pretraining. CoRR abs/2602.02047 (2026) - [i16]Lingyun Yang, Suyi Li, Tianyu Feng, Xiaoxiao Jiang, Zhipeng Di, Weiyi Lu, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang:
LegoDiffusion: Micro-Serving Text-to-Image Diffusion Workflows. CoRR abs/2604.08123 (2026) - 2025
- [c16]Guangqiang Luan, Pu Pang, Quan Chen, Chen Chen, Guoyao Xu, Chi Zhang, Yanyi Zi, Yinghao Yu, Guodong Yang, Liping Zhang, Minyi Guo:
Reducing the End-to-End Latency of DNN-Based Recommendation Systems in GPU Pools. IPDPS 2025: 725-736 - [c15]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:
GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale. NSDI 2025: 847-863 - [c14]Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang:
GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale. USENIX ATC 2025: 731-747 - [c13]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:
Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters. USENIX ATC 2025: 1037-1052 - [i13]Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang:
Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation. CoRR abs/2504.19232 (2025) - [i12]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:
InstGenIE: Generative Image Editing Made Efficient with Mask-aware Caching and Scheduling. CoRR abs/2505.20600 (2025) - [i11]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:
GFS: A Preemption-aware Scheduling Framework for GPU Clusters with Predictive Spot Instance Management. CoRR abs/2509.11134 (2025) - [i10]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:
EDGC: Entropy-driven Dynamic Gradient Compression for Efficient LLM Training. CoRR abs/2511.10333 (2025) - 2024
- [i6]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:
SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules. CoRR abs/2407.02031 (2024) - [i5]Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang:
FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training. CoRR abs/2410.12588 (2024) - 2023
- [c12]Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, Liping Zhang:
Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. USENIX ATC 2023: 995-1008 - 2022
- [c11]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:
Workload consolidation in alibaba clusters: the good, the bad, and the ugly. SoCC 2022: 210-225 - [c10]Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding:
MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters. NSDI 2022: 945-960 - 2021
- [c8]Luping Wang, Lingyun Yang, Yinghao Yu, Wei Wang, Bo Li, Xianchao Sun, Jian He, Liping Zhang:
Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving. SoCC 2021: 639-653
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