Yinghao Yu

According to our database, Yinghao Yu authored at least 38 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RTP-LLM: High-Performance Alibaba LLM Inference Engine.

Boyu Tan, Jiarui Guo, Zongwei Lv, Hanbo Sun, Tong Yang, Kan Liu, Xinfei Shi, Zetao Hu, Yaxin Yu, Chi Zhang, Jianning Zhang, Xi Yang, Wei Zhang, Bo Cai, Silu Zhou, Xiyu Wang, Na He, Yinghao Yu, Wending Bao, Guiyang Huang, Yuxing Yuan, Juncheng Yin, Nan Wang, Lin Yang, Zechao Zhang, Lu Chen, Guoding Li, Tao Lan, Lin Qu

CoRR, May, 2026

LegoDiffusion: Micro-Serving Text-to-Image Diffusion Workflows.

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

CoRR, April, 2026

Dissecting Outlier Dynamics in LLM NVFP4 Pretraining.

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

CoRR, February, 2026

Defrag: Reducing Resource Fragmentation in Large-Scale Heterogeneous GPU Clusters.

Chenhao Wang, Yuedong Xu, Jun Wu, Yinghao Yu, Liang Ye, Guodong Yang

IEEE Trans. Netw., 2026

Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training.

Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

Medley: Optimizing Midgress Bandwidth for Commercial Live Streaming CDNs.

Haiping Wang, Wanxin Shi, Sandesh Dhawaskar Sathyanarayana, Shu Shi, Feng Qian, Yinghao Yu, La Zuo, Hebin Yu, Ruixiao Zhang, Ruoshi Sun, Yajie Peng, Xiaofei Pang, Ruili Fang, Zhenpeng Zhu, Weiqi Chen, Yang Xu

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

eGPU: Production-Scale Elastic Sharing Over 10,000 GPUs.

Xiaochuan Tang, Hao Qi, Jianbo Dong, Yinghao Yu, Zhennan Xue, Zhengyu Zhang, Daocheng Ying, Zheng Cao, Xiaoyi Lu

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

FlashPS: Efficient Generative Image Editing with Mask-aware Caching and Scheduling.

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

Proceedings of the 21st European Conference on Computer Systems, 2026

GFS: A Preemption-aware Scheduling Framework for GPU Clusters with Predictive Spot Instance Management.

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

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Diving into 3D Parallelism with Heterogeneous Spot Instance GPUs: Design and Implications.

Yuxiao Wang, Yuedong Xu, Qingyang Duan, Yuxuan Liu, Lei Jiao, Yinghao Yu, Jun Wu

CoRR, December, 2025

RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training.

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

CoRR, December, 2025

Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation.

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

CoRR, November, 2025

EDGC: Entropy-driven Dynamic Gradient Compression for Efficient LLM Training.

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

CoRR, November, 2025

InstGenIE: Generative Image Editing Made Efficient with Mask-aware Caching and Scheduling.

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

CoRR, May, 2025

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation.

Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang

CoRR, April, 2025

GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale.

Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters.

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

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale.

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

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

Reducing the End-to-End Latency of DNN-Based Recommendation Systems in GPU Pools.

Guangqiang Luan, Pu Pang, Quan Chen, Chen Chen, Guoyao Xu, Chi Zhang, Yanyi Zi, Yinghao Yu, Guodong Yang, Liping Zhang, Minyi Guo

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024

FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training.

Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang

CoRR, 2024

SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules.

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

CoRR, 2024

2023

Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent.

Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, Liping Zhang

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

2022

Missing Data Repairs for Traffic Flow With Self-Attention Generative Adversarial Imputation Net.

Weibin Zhang, Pulin Zhang, Yinghao Yu, Xiying Li, Salvatore Antonio Biancardo, Junyi Zhang

IEEE Trans. Intell. Transp. Syst., 2022

Towards Dependency-Aware Cache Management for Data Analytics Applications.

Yinghao Yu, Chengliang Zhang, Wei Wang, Jun Zhang, Khaled Ben Letaief

IEEE Trans. Cloud Comput., 2022

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters.

Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Workload consolidation in alibaba clusters: the good, the bad, and the ugly.

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

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving.

Luping Wang, Lingyun Yang, Yinghao Yu, Wei Wang, Bo Li, Xianchao Sun, Jian He, Liping Zhang

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

George: Learning to Place Long-Lived Containers in Large Clusters with Operation Constraints.

Suyi Li, Luping Wang, Wei Wang, Yinghao Yu, Bo Li

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020

Achieving Load-Balanced, Redundancy-Free Cluster Caching with Selective Partition.

Yinghao Yu, Wei Wang, Renfei Huang, Jun Zhang, Khaled Ben Letaief

IEEE Trans. Parallel Distributed Syst., 2020

A Wireless Magnetic Resonance Device for Optogenetic Applications in an Animal Model.

Arthur C. Tsai, Andrew Chih Wei Huang, Yinghao Yu, Chii-Shyang Kuo, Chih-Chan Hsu, Yeou San Lim, Bai-Chuang Shyu

Sensors, 2020

RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data.

Minchen Yu, Yinghao Yu, Yunchuan Zheng, Baichen Yang, Wei Wang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

LACS: Load-Aware Cache Sharing with Isolation Guarantee.

Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

SP-cache: load-balanced, redundancy-free cluster caching with selective partition.

Yinghao Yu, Renfei Huang, Wei Wang, Jun Zhang, Khaled Ben Letaief

Proceedings of the International Conference for High Performance Computing, 2018

OpuS: Fair and Efficient Cache Sharing for In-Memory Data Analytics.

Yinghao Yu, Wei Wang, Jun Zhang, Qizhen Weng, Khaled Ben Letaief

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

LRC: Dependency-aware cache management for data analytics clusters.

Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

LERC: Coordinated Cache Management for Data-Parallel Systems.

Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Flow-Level QoE of Video Streaming in Wireless Networks.

Yuedong Xu, Salah-Eddine Elayoubi, Eitan Altman, Rachid El Azouzi, Yinghao Yu

IEEE Trans. Mob. Comput., 2016

Joint Subcarrier and CPU Time Allocation for Mobile Edge Computing.

Yinghao Yu, Jun Zhang, Khaled Ben Letaief

Proceedings of the 2016 IEEE Global Communications Conference, 2016