HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training. - Yabo Duan; Zhiquan Lai; Shengwei Li; Weijie Liu; Keshi Ge; Peng Liang 017; Dongsheng Li 001 (CLUSTER, 2022)

TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks. - Peng Liang 017; Hao Zheng; Teng Su; Linbo Qiao; Dongsheng Li 001 (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)

3D Parallelism for Transformers via Integer Programming. - Hao Zheng; Peng Liang 017; Yu Tang; Yanqi Shi; Linbo Qiao; Dongsheng Li 001 (ICASSP, 2024)

Automatic parallelism strategy generation with minimal memory redundancy. - Yanqi Shi; Peng Liang 017; Hao Zheng; Linbo Qiao; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Training large-scale language models with limited GPU memory: a survey. - Yu Tang; Linbo Qiao; Lujia Yin; Peng Liang 017; Ao Shen; Zhilin Yang; Lizhi Zhang; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Memory-efficient tensor parallelism for long-sequence Transformer training. - Peng Liang 017; Linbo Qiao; Yanqi Shi; Hao Zheng; Yu Tang; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)