Xiwei Zhao

According to our database, Xiwei Zhao authored at least 28 papers between 2006 and 2024.

Collaborative distances:

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

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

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

Confidence Ranking for CTR Prediction.

Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 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

BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation.

Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction.

Mao Pan, Tao Yu, Kun Zhou, Zheng Li, Dongyue Wang, Zhuoye Ding, Xiwei Zhao, Sulong Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Satisfaction-Aware User Interest Network for Click-Through Rate Prediction.

Mao Pan, Wen Shi, Kun Zhou, Zheng Li, Dongyue Wang, Zhuoye Ding, Xiwei Zhao, Sulong Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Research: A Pre-Computing Solution for Online Advertising Serving.

Han Xu, Hao Qi, Kunyao Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

NDGGNET-A Node Independent Gate based Graph Neural Networks.

Ye Tang, Xuesong Yang, Xinrui Liu, Xiwei Zhao, Zhangang Lin, Changping Peng

CoRR, 2022

Concept Drift Adaptation for CTR Prediction in Online Advertising Systems.

Congcong Liu, Yuejiang Li, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

IA-GCN: Interactive Graph Convolutional Network for Recommendation.

Yinan Zhang, Pei Wang, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction.

Congcong Liu, Yuejiang Li, Jian Zhu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads.

Kaifu Zheng, Lu Wang, Yu Li, Xusong Chen, Hu Liu, Jing Lu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Position Awareness Modeling with Knowledge Distillation for CTR Prediction.

Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Dynamic Parameterized Network for CTR Prediction.

Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Guangpeng Chen, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2021

Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems.

Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao, Jingping Shao

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction.

Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Category-Specific CNN for Visual-aware CTR Prediction at JD.com.

Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

A Double-CNN BP Decoder on Fast Fading Channels Using Correlation Information.

Jun Li, Xiwei Zhao, Jihao Fan, Feng Shu, Shi Jin, Yuwen Qian

Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

2017

Trend prediction of wear fault of wind generator high-speed gear using a fusion of UICA and PE method.

Xiwei Zhao, Xiaoli Xu, Wenxiang Zhao, Zhanglei Jiang, Xiuli Liu

Clust. Comput., 2017

2008

Self-organized forensic support in MANETs.

Xiwei Zhao, Vinayak Ganapathy, Niki Pissinou, Kia Makki

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007

Revisiting Global Time Synchronization.

Xiwei Zhao, Vinayak Ganapathy, Niki Pissinou, Kia Makki

Proceedings of the Global Communications Conference, 2007

The Optimization of Location Management.

Xiwei Zhao, Niki Pissinou, S. Kami Makki

Proceedings of the 4th IEEE Consumer Communications and Networking Conference, 2007

2006

An Efficient and Robust Routing Protocol for Data Aggregation.

Xiwei Zhao, S. Kami Makki, Niki Pissinou

Proceedings of the Wireless Algorithms, 2006