Zhengxian Lu

According to our database, Zhengxian Lu authored at least 6 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MoGL: A mixture of heterogeneous experts for collaborative graph learning.

Gonghai Zhou, Zhiwei Xu, Kaixuan Yang, Jiatai Wang, Zhengxian Lu, Tao Li

Neural Networks, 2026

2025

On the Performance and Memory Footprint of Distributed Training: An Empirical Study on Transformers.

Zhengxian Lu, Fangyu Wang, Zhiwei Xu, Fei Yang, Tao Li

Softw. Pract. Exp., 2025

2024

Quantitative evaluation of deep learning frameworks in heterogeneous computing environment.

Zhengxian Lu, Chengkun Du, Yanfeng Jiang, Xueshuo Xie, Tao Li, Fei Yang

CCF Trans. High Perform. Comput., February, 2024

On the Performance and Memory Footprint of Distributed Training: An Empirical Study on Transformers.

Zhengxian Lu, Fangyu Wang, Zhiwei Xu, Fei Yang, Tao Li

CoRR, 2024

OAA: An Abstraction for Efficient Accelerator Adaptation in Deep Learning Frameworks.

Zhengxian Lu, Chengkun Du, Xueshuo Xie, Qiankun Dong, Cheng Gong, Tao Li

Proceedings of the International Joint Conference on Neural Networks, 2024

MEFold: Memory-Efficient Optimization for Protein Language Models via Chunk and Quantization.

Yanfeng Jiang, Ning Sun, Zhengxian Lu, Shuang Peng, Yi Zhang, Fei Yang, Tao Li

Proceedings of the International Joint Conference on Neural Networks, 2024