EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks. - Shengwei Li; Zhiquan Lai; Dongsheng Li 001; Xiangyu Ye; Yabo Duan (CoRR, 2021)

INS Error Estimation Based on an ANFIS and Its Application in Complex and Covert Surroundings. - Yabo Duan; Huaizhan Li; Suqin Wu; Kefei Zhang (ISPRS Int. J. Geo Inf., 2021)

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)

AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing. - Weijie Liu; Zhiquan Lai; Shengwei Li; Yabo Duan; Keshi Ge; Dongsheng Li 001 (CLUSTER, 2022)

Channel-Spatial Attention Network for Lunar Image Super-Resolution. - Yabo Duan; Huaizhan Li; Kefei Zhang; Shubi Zhang; Suqin Wu (ICIGP, 2022)

EmbRace: Accelerating Sparse Communication for Distributed Training of Deep Neural Networks. - Shengwei Li; Zhiquan Lai; Dongsheng Li 001; Yiming Zhang 003; Xiangyu Ye; Yabo Duan (ICPP, 2022)

Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models. - Zhiquan Lai; Shengwei Li; Xudong Tang; Keshi Ge; Weijie Liu; Yabo Duan; Linbo Qiao; Dongsheng Li 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Early Warning Research on Systemic Financial Risk Based on BP Neural Networks. - Zhaoran Zhuang; Yabo Duan (ICAICE, 2024)

New Maps of Lunar Surface Oxide Abundances and Mg# Using an Optimized Ensemble Learning Algorithm. - Chaofa Bian; Kefei Zhang; Yunzhao Wu; Suqin Wu; Yu Lu 007; Yabo Duan; Huajing Wu; Zhenxing Zhao; Wei Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)