Mou Sun

According to our database, Mou Sun authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Grouter: Decoupling Routing from Representation for Accelerated MoE Training.

Yuqi Xu, Rizhen Hu, Zihan Liu, Mou Sun, Kun Yuan

CoRR, March, 2026

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs.

Wuyue Zhang, Chongdong Huang, Chunbo You, Cheng Gu, Fengjuan Wang, Mou Sun

CoRR, March, 2026

Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement.

Shuchen Zhu, Rizhen Hu, Mingze Wang, Mou Sun, Xue Wang, Kun Yuan, Zaiwen Wen

CoRR, February, 2026

Synergistic Intra- and Cross-Layer Regularization Losses for MoE Expert Specialization.

Rizhen Hu, Yuan Cao, Boao Kong, Mou Sun, Kun Yuan

CoRR, February, 2026

Expected Maximization of a Concave Utility Function Under Threshold-Based Activation.

Guangming Li, Yufei Li, Shengjie Chen, Mou Sun, Wushuaijun Zhang

Axioms, 2026

AutoHAAP: Automated Heterogeneity-Aware Asymmetric Partitioning for LLM Training.

Yuanyuan Wang, Nana Tang, Yuyang Wang, Shu Pan, Dingding Yu, Zeyue Wang, Mou Sun, Kejie Fu, Fangyu Wang, Yunchuan Chen, Ning Sun, Fei Yang

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025

FP8-Flow-MoE: A Casting-Free FP8 Recipe without Double Quantization Error.

Fengjuan Wang, Zhiyi Su, Xingzhu Hu, Cheng Wang, Mou Sun

CoRR, November, 2025

MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization.

Rizhen Hu, Yutong He, Ran Yan, Mou Sun, Binghang Yuan, Kun Yuan

CoRR, October, 2025

2024

Decomposition Methods for Global Solution of Mixed-Integer Linear Programs.

Kaizhao Sun, Mou Sun, Wotao Yin

SIAM J. Optim., 2024

2023

MindOpt Adapter for CPLEX Benchmarking Performance Analysis.

Mou Sun, Tao Li, Wotao Yin

CoRR, 2023