Bi Xue

According to our database, Bi Xue authored at least 8 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• 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

Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders.

Ziliang Zhao, Bi Xue, Emma Lin, Mengjiao Zhou, Kaustubh Vartak, Shakhzod Ali-Zade, Tianqi Lu, Tao Li, Bin Kuang, Rui Jian, Bin Wen, Dennis van der Staay, Yixin Bao, Eddy Li, Chao Deng, Songbin Liu, Qifan Wang, Kai Ren

CoRR, February, 2026

Bending the Scaling Law Curve in Large-Scale Recommendation Systems.

Qin Ding, Kevin Course, Linjian Ma, Jianhui Sun, Ruochen Liu, Zhao Zhu, Chunxing Yin, Wei Li, Dai Li, Yu Shi, Xuan Cao, Ze Yang, Han Li, Xing Liu, Bi Xue, Hongwei Li, Rui Jian, Daisy Shi He, Jing Qian, Matt Ma, Qunshu Zhang, Rui Li

CoRR, February, 2026

Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System.

Jiang Zhang, Yubo Wang, Wei Chang, Lu Han, Xingying Cheng, Feng Zhang, Min Li, Songhao Jiang, Wei Zheng, Harry Tran, Zhen Wang, Lei Chen, Yueming Wang, Benyu Zhang, Xiangjun Fan, Bi Xue, Qifan Wang

CoRR, February, 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

2025

SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs.

Bi Xue, Hong Wu, Lei Chen, Chao Yang, Yiming Ma, Fei Ding, Zhen Wang, Liang Wang, Xiaoheng Mao, Ke Huang, Xialu Li, Peng Xia, Rui Jian, Yanli Zhao, Yanzun Huang, Yijie Deng, Harry Tran, Ryan Chang, Min Yu, Eric Dong, Jiazhou Wang, Qianqian Zhang, Keke Zhai, Hongzhang Yin, Pawel Garbacki, Zheng Fang, Yiyi Pan, Min Ni, Yang Liu

CoRR, November, 2025

LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scaling.

Yunjiang Jiang, Ayush Agarwal, Yang Liu, Bi Xue

CoRR, October, 2025

Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment.

Dai Li, Kevin Course, Wei Li, Hongwei Li, Jie Hua, Yiqi Chen, Zhao Zhu, Rui Jian, Xuan Cao, Bi Xue, Yu Shi, Jing Qian, Kai Ren, Matt Ma, Qunshu Zhang, Rui Li

CoRR, August, 2025