Guarantee high reliability and effectiveness for softwares in internetware. - Xiaoda Zhang; Haiyan Chen; Xin Li 017; Zhuzhong Qian; Sheng Zhang 001; Sanglu Lu (Internetware, 2014)

Consolidating flows with implicit deadlines for energy-proportional data center networks. - Xiaoda Zhang; Zhuzhong Qian; Sheng Zhang 001; Kui Wu 001; Sanglu Lu (Networking, 2016)

Far-Sighted Multi-Stage Awasre Coflow Scheduling. - Shuai Zhang; Sheng Zhang 001; Xiaoda Zhang; Zhuzhong Qian; Mingjun Xiao; Jie Wu 001; Jidong Ge; Xiaoliang Wang 001 (GLOBECOM, 2018)

COBRA: Toward Provably Efficient Semi-Clairvoyant Scheduling in Data Analytics Systems. - Xiaoda Zhang; Zhuzhong Qian; Sheng Zhang 001; Xiangbo Li; Xiaoliang Wang 001; Sanglu Lu (INFOCOM, 2018)

Towards Reliable (and Efficient) Job Executions in a Practical Geo-distributed Data Analytics System. - Xiaoda Zhang; Zhuzhong Qian; Sheng Zhang 001; Yize Li; Xiangbo Li; Xiaoliang Wang 001; Sanglu Lu (CoRR, 2018)

Efficient scheduling for multi-stage coflows. - Shuai Zhang; Sheng Zhang 001; Zhuzhong Qian; Xiaoda Zhang; Mingjun Xiao; Jie Wu 001; Jidong Ge; Xiaoliang Wang 001 (CCF Trans. Netw., 2019)

Semi-Clairvoyant Scheduling in Data Analytics Systems. - Xiaoda Zhang; Zhuzhong Qian; Sheng Zhang 001; Xiangbo Li; Xiaoliang Wang 001; Sanglu Lu (IEEE Trans. Computers, 2019)

Feature cognitive model combined by an improved variational mode and singular value decomposition for fault signals. - Jinxiang Chen; Zhu Zhu; Xiaoda Zhang (Cogn. Comput. Syst., 2020)

QoS-aware flow scheduling for energy-efficient cloud data centre network. - Songyun Wang; Jiabin Yuan; Xiaoda Zhang; Zhuzhong Qian; Xin Li 017; Ilsun You (Int. J. Ad Hoc Ubiquitous Comput., 2020)

PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. - Wei Zeng 006; Xiaozhe Ren; Teng Su; Hui Wang 030; Yi Liao; Zhiwei Wang; Xin Jiang 002; ZhenZhang Yang; Kaisheng Wang; Xiaoda Zhang; Chen Li 023; Ziyan Gong; et al. (CoRR, 2021)

XGBoost-based prediction modelling and analysis for health literacy assessment. - Yan Hong; Xiaoda Zhang; Jinxiang Chen (Int. J. Model. Identif. Control., 2021)

Gear faults identification based on big data analysis and CatBoost model. - Yongsheng Qi; Xiaoda Zhang; Jianxin Zhang (Int. J. Model. Identif. Control., 2022)

PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing. - Xiaozhe Ren; Pingyi Zhou; Xinfan Meng; Xinjing Huang; Yadao Wang; Weichao Wang; Pengfei Li; Xiaoda Zhang; Alexander Podolskiy; Grigory Arshinov; Andrey Bout; Irina Piontkovskaya; et al. (CoRR, 2023)

A Survey on Auto-Parallelism of Large-Scale Deep Learning Training. - Peng Liang 017; Yu Tang; Xiaoda Zhang; Youhui Bai; Teng Su; Zhiquan Lai; Linbo Qiao; Dongsheng Li 001 (IEEE Trans. Parallel Distributed Syst., 2023)