Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Xiuqiang He

AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction


Jun 09, 2021
Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He

* 10 pages 

  Access Paper or Ask Questions

Dual Graph enhanced Embedding Neural Network for CTR Prediction


Jun 08, 2021
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He

* KDD 2021 

  Access Paper or Ask Questions

Dual Graph enhanced Embedding Neural Network for CTRPrediction


Jun 01, 2021
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He

* KDD 2021 

  Access Paper or Ask Questions

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table


May 11, 2021
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu

* 10 pages 

  Access Paper or Ask Questions

Deep Learning for Click-Through Rate Estimation


Apr 21, 2021
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He

* Paper accepted at IJCAI 2021 (Survey Track) 

  Access Paper or Ask Questions

An Adversarial Imitation Click Model for Information Retrieval


Apr 19, 2021
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu

* Accepted to WWW 2021 

  Access Paper or Ask Questions

Modeling High-order Interactions across Multi-interests for Micro-video Reommendation


Apr 01, 2021
Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu

* accepted to AAAI 2021 

  Access Paper or Ask Questions

AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction


Dec 16, 2020
Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He

* 8 pages 

  Access Paper or Ask Questions

Ensembled CTR Prediction via Knowledge Distillation


Nov 08, 2020
Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng

* Published in CIKM'2020 

  Access Paper or Ask Questions

FuxiCTR: An Open Benchmark for Click-Through Rate Prediction


Sep 12, 2020
Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He

* Feebacks and comments are welcome! 

  Access Paper or Ask Questions

A Practical Incremental Method to Train Deep CTR Models


Sep 04, 2020
Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He


  Access Paper or Ask Questions

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach


Aug 26, 2020
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He

* Accepted by SIGIR 2020 

  Access Paper or Ask Questions

Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos


Aug 19, 2020
Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He

* ACM MM 2020 

  Access Paper or Ask Questions

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction


Mar 26, 2020
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu


  Access Paper or Ask Questions

MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection


Feb 13, 2020
Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li


  Access Paper or Ask Questions

Less Is Better: Unweighted Data Subsampling via Influence Function


Dec 03, 2019
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang


  Access Paper or Ask Questions

Learning Cross-Domain Representation with Multi-Graph Neural Network


May 24, 2019
Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu


  Access Paper or Ask Questions

Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data


Jul 01, 2018
Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He


  Access Paper or Ask Questions

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction


May 16, 2018
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong

* 14 pages. arXiv admin note: text overlap with arXiv:1703.04247 

  Access Paper or Ask Questions

Federated Meta-Learning for Recommendation


Feb 22, 2018
Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He


  Access Paper or Ask Questions

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction


Mar 13, 2017
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He


  Access Paper or Ask Questions