Jinghe Hu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Sponsored Search

Incremental Learning

Recommender Systems

Top Venues

Publications

Tian Xie, Bin Xian, Xun Gu, Jinghe Hu, Mohan Liu
Disturbance Observer-Based Fixed-Time Tracking Control for a Tilt Trirotor Unmanned Aerial Vehicle. IEEE Trans. Ind. Electron. 71 (4) (2024)
Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search. SIGIR (2024)
Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search. CoRR (2024)
Xi Zhao, Wei Feng, Zheng Zhang, Jingjing Lv, Xin Zhu, Zhangang Lin, Jinghe Hu, Jingping Shao
CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection. Int. J. Comput. Vis. 132 (8) (2024)
Yuanbo Gao, Peng Lin, Dongyue Wang, Feng Mei, Xiwei Zhao, Sulong Xu, Jinghe Hu
PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction. CoRR (2024)
Yuanbo Gao, Peng Lin, Dongyue Wang, Feng Mei, Xiwei Zhao, Sulong Xu, Jinghe Hu
PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction. WWW (Companion Volume) (2024)
Lingwei Kong, Lu Wang, Xiwei Zhao, Junsheng Jin, Zhangang Lin, Jinghe Hu, Jingping Shao
LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising. SIGIR (2023)
Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. CoRR (2023)
Jinbo Song, Ruoran Huang, Xinyang Wang, Wei Huang, Qian Yu, Mingming Chen, Yafei Yao, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models. CoRR (2023)
Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. SIGIR (2023)
Zhiping Wang, Peng Lin, Hainan Zhang, Hongshen Chen, Tianhao Li, Zhuoye Ding, Sulong Xu, Jinghe Hu
Automatic Marketing Theme and Commodity Construction System for E-commerce. EMNLP (Industry Track) (2023)
Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving. ECML/PKDD (6) (2023)
Lu Wang, Yuhai Song, Zhe Wang, Haoxiang Wang, Yu Li, Weiwei Zhou, Haoming Dang, Mona Shao, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
Pluggable Deep Thompson Sampling with Applications to Recommendation. SDM (2023)
Jinbo Song, Ruoran Huang, Xinyang Wang, Wei Huang, Qian Yu, Mingming Chen, Yafei Yao, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models. CIKM (2022)
Qian Yu, Xiangdong Wu, Chen Yang, Zihao Zhao, Haoxin Liu, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao
Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation. DL4SR@CIKM (2022)
Xi Zhao, Wei Feng, Zheng Zhang, Jingjing Lv, Xin Zhu, Zhangang Lin, Jinghe Hu, Jingping Shao
CBNet: A Plug-and-Play Network for Segmentation-based Scene Text Detection. CoRR (2022)
Yu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems. AAAI (2018)
Yu Wang, Jiayi Liu, Yuxiang Liu, Jun Hao, Yang He, Jinghe Hu, Weipeng P. Yan, Mantian Li
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions. CoRR (2017)
Yan Yan, Wentao Guo, Meng Zhao, Jinghe Hu, Weipeng P. Yan
Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm. CoRR (2017)
Yu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems. CoRR (2017)