Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. - Chen Chen 067; Qizhen Weng; 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; Khaled Ben Letaief (ICDCS, 2018)

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

Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments. - Chen Chen 067; Qizhen Weng; 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; 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; 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)

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)

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

Low Bitrate Codec with Joint Vector Quantization and Hoffman Coding for Internet of Things. - Dingwei Peng; Xuelin Yuan; Mingjun Ouyang; Qizhen Weng; Ting Xie; Ningze Zhong; Xiangwei Zhu (IoTAAI, 2024)

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. - Suyi Li 002; Hanfeng Lu; Tianyuan Wu; Minchen Yu; Qizhen Weng; 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; Hang Yan 001; Xingcheng Zhang; Xipeng Qiu; Dahua Lin; et al. (CoRR, 2024)

A New Representation of Universal Successor Features for Enhancing the Generalization of Target-Driven Visual Navigation. - Jiaocheng Hu; Yuexin Ma; Haiyun Jiang; Shaofeng He; Gelu Liu; Qizhen Weng; Xiangwei Zhu (IEEE Robotics Autom. Lett., 2024)

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)

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

LMCodec2: Ultra-low bit rate codec with causal multiple transformers. - Dingwei Peng; Qizhen Weng; Ningze Zhong; Ting Xie; Can Gong; Xiangwei Zhu; Xuelin Yuan; Mingjun Ouyang (Comput. Electr. Eng., 2025)

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