Dongsheng Li

Accelerate Graph Neural Network Training by Reusing Batch Data on GPUs

Zhiquan Lai, Zhejiang Ran, Lizhi Zhang, 2021, 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC).

Prediction of the Cyanobacteria Coverage in Time-series Images based on Convolutional Neural Network

Zhiquan Lai, Dongsheng Li, Xiangyu Ye, 2021, ICCCV.

PCGraph: Accelerating GNN Inference on Large Graphs via Partition Caching

Zhiquan Lai, Feng Liu, Yu Tang, 2021, 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).

Improved Partitioning Graph Embedding Framework for Small Cluster

Zhen Huang, Dongsheng Li, Ding Sun, 2021, KSEM.

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning

Junchi Yan, Xiaokang Yang, Dongsheng Li, 2021, AAAI.

HMA: An Efficient Training Method for NLP Models

Zhiquan Lai, Yuetong Yang, Dongsheng Li, 2021, ICIAI.

Increasing momentum-like factors: A method for reducing training errors on multiple GPUs

Zhiquan Lai, Zhigang Kan, Linbo Qiao, 2022 .

EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks pdf

Zhiquan Lai, Dongsheng Li, Xiangyu Ye, 2021, ArXiv.

Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training

Zhiquan Lai, Linbo Qiao, Dongsheng Li, 2021, ICPP.

Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning pdf

Ning Liu, Zhiquan Lai, Songlei Jian, 2021, IEEE Transactions on Knowledge and Data Engineering.

2PGraph: Accelerating GNN Training over Large Graphs on GPU Clusters

Zhiquan Lai, Feng Liu, Yu Tang, 2021, 2021 IEEE International Conference on Cluster Computing (CLUSTER).