An Experimental Perspective for Computation-Efficient Neural Networks Training. - Lujia Yin; Xiaotao Chen; Zheng Qin 002; Zhaoning Zhang 001; Jinghua Feng; Dongsheng Li 001 (ACA, 2018)

A Quick Survey on Large Scale Distributed Deep Learning Systems. - Zhaoning Zhang 001; Lujia Yin; Yuxing Peng 001; Dongsheng Li 001 (ICPADS, 2018)

Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUs. - Yu Tang; Lujia Yin; Zhaoning Zhang 001; Dongsheng Li 001 (ICA3PP (2), 2019)

MapperX: Adaptive Metadata Maintenance for Fast Crash Recovery of DM-Cache Based Hybrid Storage Devices. - Lujia Yin; Li Wang; Yiming Zhang 003; Yuxing Peng 001 (USENIX ATC, 2021)

Elastic scheduler: Heterogeneous and dynamic deep Learning in the cloud. - Lujia Yin; Yiming Zhang 003; Yuxing Peng 001; Dongsheng Li 001 (Concurr. Comput. Pract. Exp., 2021)

ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs. - Lujia Yin; Yiming Zhang 003; Zhaoning Zhang 001; Yuxing Peng 001; Peng Zhao (Proc. VLDB Endow., 2021)

ParaX : Bandwidth-Efficient Instance Assignment for DL on Multi-NUMA Many-Core CPUs. - Yiming Zhang 003; Lujia Yin; Dongsheng Li 001; Yuxing Peng 001; Kai Lu 001 (IEEE Trans. Computers, 2022)

AMGmal: Adaptive mask-guided adversarial attack against malware detection with minimal perturbation. - Dazhi Zhan; Yexin Duan; Yue Hu 016; Lujia Yin; Zhisong Pan 003; Shize Guo (Comput. Secur., 2023)

Low-Cost, High-Reliability Deployment for Cloud Applications With Low-Frequency Periodic Requests. - Hailiang Chen; Zhu Xiang; Lujia Yin; Miao Zhang 037; Quanjun Yin (IEEE Trans. Serv. Comput., 2024)

DELTA: Memory-Efficient Training via Dynamic Fine-Grained Recomputation and Swapping. - Yu Tang; Qiao Li 001; Lujia Yin; Dongsheng Li 001; Yiming Zhang 003; Chenyu Wang; Xingcheng Zhang; Linbo Qiao; Zhaoning Zhang 001; Kai Lu 001 (ACM Trans. Archit. Code Optim., 2024)

Multi-agent reinforcement learning for task offloading with hybrid decision space in multi-access edge computing. - Ji Wang; Miao Zhang 037; Quanjun Yin; Lujia Yin; Yong Peng 006 (Ad Hoc Networks, 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)

Koala: Efficient Pipeline Training through Automated Schedule Searching on Domain-Specific Language. - Yu Tang; Lujia Yin; Qiao Li 001; Hongyu Zhu; Hengjie Li; Xingcheng Zhang; Linbo Qiao; Dongsheng Li 001; Jiaxin Li (ACM Trans. Archit. Code Optim., 2025)