Jennifer Cao

According to our database, Jennifer Cao authored at least 3 papers between 2024 and 2026.

Collaborative distances:

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

2026

FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost.

Chenhao Feng, Haoli Zhang, Shakhzod Ali-Zade, Yanli Zhao, Liang Luo, Jennifer Cao, Lisen Deng, Siqiao Chen, Chenyu Zhao, Tristan Rice, Daniel Johnson, Min Si, Tiantu Xu, Yi Zhang, Siqi Yan, Chuanhao Zhuge, Min Ni, Bi Xue, Qunshu Zhang, Shen Li

CoRR, April, 2026

MoEBlaze: Breaking the Memory Wall for Efficient MoE Training on Modern GPUs.

Jiyuan Zhang, Yining Liu, Siqi Yan, Lisen Deng, Jennifer Cao, Shuqi Yang, Min Ni, Bi Xue, Shen Li

CoRR, January, 2026

2024

MultiBalance: Multi-Objective Gradient Balancing in Industrial-Scale Multi-Task Recommendation System.

Yun He, Xuxing Chen, Jiayi Xu, Renqin Cai, Yiling You, Jennifer Cao, Minhui Huang, Liu Yang, Yiqun Liu, Xiaoyi Liu, Rong Jin, Sem Park, Bo Long, Xue Feng

CoRR, 2024