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Xiaolu Zhang

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Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

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Apr 24, 2024
Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li

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AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes

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Apr 15, 2024
Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou

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Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors

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Mar 28, 2024
Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo

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G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems

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Jan 09, 2024
Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou

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An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training

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Dec 19, 2023
Youshao Xiao, Weichang Wu, Zhenglei Zhou, Fagui Mao, Shangchun Zhao, Lin Ju, Lei Liang, Xiaolu Zhang, Jun Zhou

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One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems

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Oct 22, 2023
Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li

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Rethinking Memory and Communication Cost for Efficient Large Language Model Training

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Oct 09, 2023
Chan Wu, Hanxiao Zhang, Lin Ju, Jinjing Huang, Youshao Xiao, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou

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AntM$^{2}$C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction

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Aug 31, 2023
Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang

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Towards Open Temporal Graph Neural Networks

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Mar 27, 2023
Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou

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BadDet: Backdoor Attacks on Object Detection

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May 28, 2022
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou

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