Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. - Chen Chen 067; Qizhen Weng 001; Wei Wang 030; Baochun Li; Bo Li 001 (SoCC, 2018)

OpuS: Fair and Efficient Cache Sharing for In-Memory Data Analytics. - Yinghao Yu; Wei Wang 030; Jun Zhang 004; Qizhen Weng 001; Khaled Ben Letaief (ICDCS, 2018)

Towards Framework-Independent, Non-Intrusive Performance Characterization for Dataflow Computation. - Huangshi Tian; Qizhen Weng 001; Wei Wang 030 (APSys, 2019)

Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments. - Chen Chen 067; Qizhen Weng 001; Wei Wang 030; Baochun Li; Bo Li 001 (SoCC, 2020)

Metis: learning to schedule long-running applications in shared container clusters at scale. - Luping Wang; Qizhen Weng 001; Wei Wang 030; Chen Chen 067; Bo Li 001 (SC, 2020)

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 001; Lingyun Yang; Cheng Wang; Jian He 004; et al. (SoCC, 2022)

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters. - Qizhen Weng 001; Wencong Xiao; Yinghao Yu; Wei Wang 030; Cheng Wang; Jian He 004; Yong Li 045; Liping Zhang 013; Wei Lin 016; Yu Ding (NSDI, 2022)

Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. - Qizhen Weng 001; Lingyun Yang; Yinghao Yu; Wei Wang 030; Xiaochuan Tang; Guodong Yang; Liping Zhang 013 (USENIX ATC, 2023)

Accelerating Distributed Learning in Non-Dedicated Environments. - Chen Chen 067; Qizhen Weng 001; Wei Wang 030; Baochun Li; Bo Li 001 (IEEE Trans. Cloud Comput., 2023)

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. - Suyi Li 002; Hanfeng Lu; Tianyuan Wu; Minchen Yu; Qizhen Weng 001; Xusheng Chen; Yizhou Shan; Binhang Yuan; Wei Wang 030 (CoRR, 2024)

InternLM2 Technical Report. - Zheng Cai; Maosong Cao; Haojiong Chen; Kai Chen 026; Keyu Chen; Xin Chen; Xun Chen; Zehui Chen; Zhi Chen 006; Pei Chu; Xiaoyi Dong; Haodong Duan; et al. (CoRR, 2024)

Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. - Jiangfei Duan; Shuo Zhang 022; Zerui Wang; Lijuan Jiang; Wenwen Qu; Qinghao Hu 004; Guoteng Wang; Qizhen Weng 001; Hang Yan 001; Xingcheng Zhang; Xipeng Qiu; Dahua Lin; et al. (CoRR, 2024)

GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale. - Lingyun Yang; Yongchen Wang; Yinghao Yu; Qizhen Weng 001; Jianbo Dong; Kan Liu; Chi Zhang 005; Yanyi Zi; Hao Li; Zechao Zhang; Nan Wang; Yu Dong; et al. (NSDI, 2025)

Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. - Suyi Li 002; Hanfeng Lu; Tianyuan Wu; Minchen Yu; Qizhen Weng 001; Xusheng Chen; Yizhou Shan; Binhang Yuan; Wei Wang 030 (USENIX ATC, 2025)

Efficient Unified Caching for Accelerating Heterogeneous AI Workloads. - Tianze Wang; Yifei Liu; Chen Chen 067; Pengfei Zuo; Jiawei Zhang; Qizhen Weng 001; Yin Chen; Zhenhua Han; Jieru Zhao; Quan Chen 002; Minyi Guo (CoRR, 2025)

Janus: Disaggregating Attention and Experts for Scalable MoE Inference. - Zhexiang Zhang; Ye Wang; Xiangyu Wang; Yumiao Zhao; Jingzhe Jiang; Qizhen Weng 001; Shaohuai Shi; Yin Chen; Minchen Yu (CoRR, 2025)

Suika: Efficient and High-quality Re-scheduling of 3D-parallelized LLM Training Jobs in Shared Clusters. - Yuxuan Wang; Yanbo Wang; Chen Chen 067; Chunyu Xue; Qizhen Weng 001; Yin Chen; Zeren Li; Xuqi Zhu; Yongqiang Yang; Quan Chen 002; Minyi Guo (EuroSys, 2026)

Efficient Data Passing for Serverless Inference Workflows: A GPU-Centric Approach. - Hao Wu 032; Yaochen Liu; Minchen Yu; Qizhen Weng 001; Junxiao Deng; Yue Yu; Hao Fan 006; Song Wu 001; Wei Wang 030; Hai Jin 001 (EuroSys, 2026)

CALVO: Improve Serving Efficiency for LLM Inferences with Intense Network Demands. - Weiye Wang; Chen Chen 067; Junxue Zhang 001; Zhusheng Wang; Hui Yuan; Zixuan Guan; Xiaolong Zheng; Qizhen Weng 001; Yin Chen; Minyi Guo (CoRR, 2026)

Mosaic: Towards Efficient Training of Multimodal Models with Spatial Resource Multiplexing. - Yanbo Wang; Yuxuan Wang; Chen Chen 067; Chunyu Xue; Yu Feng 007; Anbang Wu; Quan Chen 002; Yin Chen; Qizhen Weng 001 (CoRR, 2026)