Jinghe Hu

According to our database, Jinghe Hu authored at least 17 papers between 2017 and 2024.

Collaborative distances:

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

2024

CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection.

Xi Zhao, Wei Feng, Zheng Zhang, Jingjing Lv, Xin Zhu, Zhangang Lin, Jinghe Hu, Jingping Shao

Int. J. Comput. Vis., August, 2024

Disturbance Observer-Based Fixed-Time Tracking Control for a Tilt Trirotor Unmanned Aerial Vehicle.

Tian Xie, Bin Xian, Xun Gu, Jinghe Hu, Mohan Liu

IEEE Trans. Ind. Electron., April, 2024

PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction.

Yuanbo Gao, Peng Lin, Dongyue Wang, Feng Mei, Xiwei Zhao, Sulong Xu, Jinghe Hu

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

A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search.

Huimu Wang, Mingming Li, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu, Jinghe Hu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

A Hybrid Multi-Agent Conversational Recommender System with LLM and Search Engine in E-commerce.

Guangtao Nie, Rong Zhi, Xiaofan Yan, Yufan Du, Xiangyang Zhang, Jianwei Chen, Mi Zhou, Hongshen Chen, Tianhao Li, Ziguang Cheng, Sulong Xu, Jinghe Hu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Towards Better Seach Query Classification with Distribution-Diverse Multi-Expert Knowledge Distillation in JD Ads Search.

Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao, Li Yuan

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

2023

Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search.

Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao

CoRR, 2023

Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction.

Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising.

Lingwei Kong, Lu Wang, Xiwei Zhao, Junsheng Jin, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Pluggable Deep Thompson Sampling with Applications to Recommendation.

Lu Wang, Yuhai Song, Zhe Wang, Haoxiang Wang, Yu Li, Weiwei Zhou, Haoming Dang, Mona Shao, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving.

Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Automatic Marketing Theme and Commodity Construction System for E-commerce.

Zhiping Wang, Peng Lin, Hainan Zhang, Hongshen Chen, Tianhao Li, Zhuoye Ding, Sulong Xu, Jinghe Hu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022

Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation.

Qian Yu, Xiangdong Wu, Chen Yang, Zihao Zhao, Haoxin Liu, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models.

Jinbo Song, Ruoran Huang, Xinyang Wang, Wei Huang, Qian Yu, Mingming Chen, Yafei Yao, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2018

Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems.

Yu Wang, Jixing Xu, Aohan Wu, Mantian Li, Yang He, Jinghe Hu, Weipeng P. Yan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions.

Yu Wang, Jiayi Liu, Yuxiang Liu, Jun Hao, Yang He, Jinghe Hu, Weipeng P. Yan, Mantian Li

CoRR, 2017

Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm.

Yan Yan, Wentao Guo, Meng Zhao, Jinghe Hu, Weipeng P. Yan

CoRR, 2017