Xiwei Zhao

Orcid: 0000-0002-9382-6041

According to our database1, Xiwei Zhao authored at least 25 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Confidence Ranking for CTR Prediction.
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.
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.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Pluggable Deep Thompson Sampling with Applications to Recommendation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving.
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Satisfaction-Aware User Interest Network for Click-Through Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Research: A Pre-Computing Solution for Online Advertising Serving.
CoRR, 2022

NDGGNET-A Node Independent Gate based Graph Neural Networks.
CoRR, 2022

Concept Drift Adaptation for CTR Prediction in Online Advertising Systems.
CoRR, 2022

IA-GCN: Interactive Graph Convolutional Network for Recommendation.
CoRR, 2022

Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction.
CoRR, 2022

Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads.
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.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
Dynamic Parameterized Network for CTR Prediction.
CoRR, 2021

Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems.
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.
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.
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.
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.
Clust. Comput., 2017

2008
Self-organized forensic support in MANETs.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007
Revisiting Global Time Synchronization.
Proceedings of the Global Communications Conference, 2007

The Optimization of Location Management.
Proceedings of the 4th IEEE Consumer Communications and Networking Conference, 2007

2006
An Efficient and Robust Routing Protocol for Data Aggregation.
Proceedings of the Wireless Algorithms, 2006


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