Xuewu Jiao

According to our database, Xuewu Jiao authored at least 12 papers between 2010 and 2026.

Collaborative distances:

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

2026

Efficient LLM-based Advertising via Model Compression and Parallel Verification.

Wenxin Dong, Chang Gao, Guanghui Yu, Xuewu Jiao, Mingqing Hu, Qiang Fu, Peng Xu, Penghui Wei, Hui Xu, Yue Xing, Shuanglong Li, Lin Liu

CoRR, May, 2026

Ada-MK: Adaptive MegaKernel Optimization via Automated DAG-based Search for LLM Inference.

Wenxin Dong, Mingqing Hu, Guanghui Yu, Qiang Fu, Peng Xu, Hui Xu, Yue Xing, Xuewu Jiao, Shuanglong Li, Lin Liu

CoRR, May, 2026

GRAB: An LLM-Inspired Sequence-First Click-Through Rate Prediction Modeling Paradigm.

Shaopeng Chen, Chuyue Xie, Huimin Ren, Shaozong Zhang, Han Zhang, Ruobing Cheng, Zhiqiang Cao, Zehao Ju, Yu Gao, Jie Ding, Xiaodong Chen, Xuewu Jiao, Shuanglong Li, Liu Lin

CoRR, February, 2026

2024

One-step Reach: LLM-based Keyword Generation for Sponsored Search Advertising.

Yang Wang, Zheyi Sha, Kunhai Lin, Chaobing Feng, Kunhong Zhu, Lipeng Wang, Xuewu Jiao, Fei Huang, Chao Ye, Dengwu He, Zhi Guo, Shuanglong Li, Lin Liu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Multi-Node Multi-GPU Distributed GNN Training Framework for Large-Scale Online Advertising.

Xuewu Jiao, Xinsheng Luo, Miao Li, Jiang Bian, Junchao Yang, Wei Hu, Mingqing Hu, Weipeng Lu, Shikun Feng, Danlei Feng, Dongxu Yang, Haoyi Xiong, Shuanglong Li, Lin Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation.

Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Large Scale Multiplex Latent Graphs for Recommendation in Baidu.

Jie Liu, Zhipeng Jin, Yi Yang, Wei Jia, Xuewu Jiao, Shuanglong Li, Lin Liu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising.

Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li

CoRR, 2022

FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems.

Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li

Proceedings of the IEEE International Conference on Big Data, 2022

PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising.

Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li

Proceedings of the IEEE International Conference on Big Data, 2022

Enhanced Video BERT for Fast Video Advertisement Retrieval.

Yi Yang, Tan Yu, Jie Liu, Zhipeng Jin, Xuewu Jiao, Yi Li, Shuanglong Li, Ping Li

Proceedings of the IEEE International Conference on Big Data, 2022

2010

An Analysis of Resequencing Delay of Reliable Transmission Protocols over Multipath.

Kun Zheng, Xuewu Jiao, Min Liu, Zhongcheng Li

Proceedings of IEEE International Conference on Communications, 2010