Qu, Yanru
8  results:
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1

ClickPrompt: CTR Models are Strong Prompt Generators for Ad..:

, In: Proceedings of the ACM on Web Conference 2024,
Lin, Jianghao ; Chen, Bo ; Wang, Hangyu... - p. 3319-3330 , 2024
 
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2

MAP: A Model-agnostic Pretraining Framework for Click-throu..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Lin, Jianghao ; Qu, Yanru ; Guo, Wei... - p. 1384-1395 , 2023
 
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3

Task-wise Split Gradient Boosting Trees for Multi-center Di..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Chen, Mingcheng ; Wang, Zhenghui ; Zhao, Zhiyun... - p. 2663-2673 , 2021
 
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4

GIKT: A Graph-Based Interaction Model for Knowledge Tracing:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Yang, Yang ; Shen, Jian ; Qu, Yanru... - p. 299-315 , 2021
 
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5

An end-to-end neighborhood-based interaction model for know..:

, In: Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data,
Qu, Yanru ; Bai, Ting ; Zhang, Weinan.. - p. 1-9 , 2019
 
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7

Collaborative Filtering with Graph-based Implicit Feedback:

, In: 2018 IEEE 3rd International Conference on Cloud Computing and Internet of Things (CCIOT),
Niu, Minzhe ; Tang, Ruiming ; Qu, Yanru... - p. 296-303 , 2018
 
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8

QA4IE: A Question Answering Based Framework for Information..:

, In: Lecture Notes in Computer Science; The Semantic Web – ISWC 2018,
Qiu, Lin ; Zhou, Hao ; Qu, Yanru... - p. 198-216 , 2018
 
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