Joint Subcarrier and CPU Time Allocation for Mobile Edge Computing. - Yinghao Yu; Jun Zhang 004; Khaled Ben Letaief (GLOBECOM, 2016)

Flow-Level QoE of Video Streaming in Wireless Networks. - Yuedong Xu 001; Salah-Eddine Elayoubi; Eitan Altman; Rachid El Azouzi; Yinghao Yu (IEEE Trans. Mob. Comput., 2016)

LERC: Coordinated Cache Management for Data-Parallel Systems. - Yinghao Yu; Wei Wang 030; Jun Zhang 004; Khaled Ben Letaief (GLOBECOM, 2017)

LRC: Dependency-aware cache management for data analytics clusters. - Yinghao Yu; Wei Wang 030; Jun Zhang 004; Khaled Ben Letaief (INFOCOM, 2017)

OpuS: Fair and Efficient Cache Sharing for In-Memory Data Analytics. - Yinghao Yu; Wei Wang 030; Jun Zhang 004; Qizhen Weng; Khaled Ben Letaief (ICDCS, 2018)

SP-cache: load-balanced, redundancy-free cluster caching with selective partition. - Yinghao Yu; Renfei Huang; Wei Wang 030; Jun Zhang 004; Khaled Ben Letaief (SC, 2018)

LACS: Load-Aware Cache Sharing with Isolation Guarantee. - Yinghao Yu; Wei Wang 030; Jun Zhang 004; Khaled Ben Letaief (ICDCS, 2019)

RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data. - Minchen Yu; Yinghao Yu; Yunchuan Zheng; Baichen Yang; Wei Wang 030 (INFOCOM, 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)

Achieving Load-Balanced, Redundancy-Free Cluster Caching with Selective Partition. - Yinghao Yu; Wei Wang 030; Renfei Huang; Jun Zhang 004; Khaled Ben Letaief (IEEE Trans. Parallel Distributed Syst., 2020)

George: Learning to Place Long-Lived Containers in Large Clusters with Operation Constraints. - Suyi Li 002; Luping Wang; Wei Wang 030; Yinghao Yu; Bo Li 001 (SoCC, 2021)

Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving. - Luping Wang; Lingyun Yang; Yinghao Yu; Wei Wang 030; Bo Li 001; Xianchao Sun; Jian He; Liping Zhang (SoCC, 2021)

Workload consolidation in alibaba clusters: the good, the bad, and the ugly. - Yongkang Zhang 003; Yinghao Yu; Wei Wang 030; Qiukai Chen; Jie Wu; Zuowei Zhang; Jiang Zhong; Tianchen Ding; Qizhen Weng; Lingyun Yang; Cheng Wang; Jian He; et al. (SoCC, 2022)

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters. - Qizhen Weng; Wencong Xiao; Yinghao Yu; Wei Wang 030; Cheng Wang; Jian He; Yong Li 020; Liping Zhang; Wei Lin 016; Yu Ding (NSDI, 2022)

Towards Dependency-Aware Cache Management for Data Analytics Applications. - Yinghao Yu; Chengliang Zhang; Wei Wang 030; Jun Zhang 004; Khaled Ben Letaief (IEEE Trans. Cloud Comput., 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)

Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. - Qizhen Weng; Lingyun Yang; Yinghao Yu; Wei Wang 030; Xiaochuan Tang; Guodong Yang; Liping Zhang (USENIX ATC, 2023)

SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules. - Suyi Li 002; Lingyun Yang; Xiaoxiao Jiang; Hanfeng Lu; Zhipeng Di; Weiyi Lu; Jiawei Chen; Kan Liu; Yinghao Yu; Tao Lan; Guodong Yang; Lin Qu; et al. (CoRR, 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)

Reducing the End-to-End Latency of DNN-Based Recommendation Systems in GPU Pools. - Guangqiang Luan; Pu Pang; Quan Chen 002; Chen Chen 067; Guoyao Xu; Chi Zhang 005; Yanyi Zi; Yinghao Yu; Guodong Yang; Liping Zhang; Minyi Guo (IPDPS, 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; et al. (NSDI, 2025)

Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters. - Suyi Li 002; Lingyun Yang; Xiaoxiao Jiang; Hanfeng Lu; Dakai An; Zhipeng Di; Weiyi Lu; Jiawei Chen; Kan Liu; Yinghao Yu; Tao Lan; Guodong Yang; et al. (USENIX ATC, 2025)

GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale. - Tianyuan Wu; Wei Wang 030; Yinghao Yu; Siran Yang; Wenchao Wu; Qinkai Duan; Guodong Yang; Jiamang Wang; Lin Qu; Liping Zhang (USENIX ATC, 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 030 (CoRR, 2025)

InstGenIE: Generative Image Editing Made Efficient with Mask-aware Caching and Scheduling. - Xiaoxiao Jiang; Suyi Li 002; Lingyun Yang; Tianyu Feng; Zhipeng Di; Weiyi Lu; Guoxuan Zhu; Xiu Lin; Kan Liu; Yinghao Yu; Tao Lan; Guodong Yang; et al. (CoRR, 2025)