publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. TFS
    Dynamic Fuzzy Sampler for Graph Neural Networks
    Jia Wei, Xingjun Zhang, Witold Pedrycz, and 1 more author
    IEEE Transactions on Fuzzy Systems, 2025

2024

  1. Under Review
    Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD
    Jia Wei, Xingjun Zhang, Witold Pedrycz, and 2 more authors
    arXiv preprint arXiv:2407.00005, 2024
  2. BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
    Jia Wei, Xingjun Zhang, and Witold Pedrycz
    arXiv preprint arXiv:2403.15766, 2024

2023

  1. TACO
    Fastensor: Optimise the tensor I/O path from SSD to GPU for deep learning training
    Jia Wei, Xingjun Zhang, Longxiang Wang, and 1 more author
    ACM Transactions on Architecture and Code Optimization, 2023
  2. IS
    Leader population learning rate schedule
    Jia Wei, Xingjun Zhang, Zhimin Zhuo, and 4 more authors
    Information Sciences, 2023
  3. Revisit and Benchmarking of Automated Quantization Toward Fair Comparison
    Zheng Wei, Xingjun Zhang, Zeyu Ji, and 2 more authors
    IEEE Transactions on Computers, 2023
  4. 数据密集型超算现状, 挑战以及未来发展趋势
    魏嘉,  陈默,  王龙翔, and 8 more authors
    数据与计算发展前沿, 2023

2022

  1. ICDE
    How much storage do we need for high performance server
    Jia Wei, and Xingjun Zhang
    In 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2022
  2. GARLSched: Generative adversarial deep reinforcement learning task scheduling optimization for large-scale high performance computing systems
    Jingbo Li, Xingjun Zhang, Jia Wei, and 2 more authors
    Future Generation Computer Systems, 2022
  3. EP4DDL: addressing straggler problem in heterogeneous distributed deep learning
    Zeyu Ji, Xingjun Zhang, Jingbo Li, and 2 more authors
    The Journal of Supercomputing, 2022
  4. Status, challenges and trends of data-intensive supercomputing
    Jia Wei, Mo Chen, Longxiang Wang, and 8 more authors
    CCF Transactions on High Performance Computing, 2022
  5. BenQ: Benchmarking automated quantization on deep neural network accelerators
    Zheng Wei, Xingjun Zhang, Jingbo Li, and 2 more authors
    In 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022

2021

  1. Energy-aware task scheduling optimization with deep reinforcement learning for large-scale heterogeneous systems
    Jingbo Li, Xingjun Zhang, Zheng Wei, and 2 more authors
    CCF transactions on high performance computing, 2021
  2. A tile-fusion method for accelerating Winograd convolutions
    Zeyu Ji, Xingjun Zhang, Zheng Wei, and 2 more authors
    Neurocomputing, 2021
  3. Deploying and scaling distributed parallel deep neural networks on the Tianhe-3 prototype system
    Jia Wei, Xingjun Zhang, Zeyu Ji, and 2 more authors
    Scientific Reports, 2021
  4. 天河三号原型机分布式并行深度神经网络性能评测及调优
    魏嘉,  张兴军,  纪泽宇, and 2 more authors
    计算机工程与科学, 2021