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Qu, Yanru
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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
Link: https://dl.acm.org/doi/1..
 
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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
Link: https://dl.acm.org/doi/1..
 
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3

Theoretical investigation on lithium polysulfide adsorption..:

Li, Jianbo ; Qu, Yanru ; Chen, Chunyuan..
Nanoscale.  13 (2021)  1 - p. 15-35 , 2021
Link: https://doi.org/10.1039/..
 
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4

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
Link: https://dl.acm.org/doi/1..
 
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5

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
Link: https://doi.org/10.1007/..
 
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6

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
Link: https://dl.acm.org/doi/1..
 
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7

Sampled in Pairs and Driven by Text: A New Graph Embedding ..:

, In: The World Wide Web Conference,
Chen, Liheng ; Qu, Yanru ; Wang, Zhenghui... - p. 2644-2651 , 2019
Link: https://dl.acm.org/doi/1..
 
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8

Product-Based Neural Networks for User Response Prediction ..:

Qu, Yanru ; Fang, Bohui ; Zhang, Weinan...
ACM Transactions on Information Systems.  37 (2019)  1 - p. 1-35 , 2019
Link: https://doi.org/10.1145/..
 
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9

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
Link: https://doi.org/10.1007/..
 
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10

Product-Based Neural Networks for User Response Prediction ..:

Qu, Yanru ; Fang, Bohui ; Zhang, Weinan...
ACM Transactions on Information Systems (TOIS).  37 (2018)  1 - p. 1-35 , 2018
Link: https://dl.acm.org/doi/1..
 
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11

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
Link: https://doi.org/10.1109/..
 
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12

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

Lin, Jianghao ; Qu, Yanru ; Guo, Wei...
http://arxiv.org/abs/2308.01737.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

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

Lin, Jianghao ; Chen, Bo ; Wang, Hangyu...
http://arxiv.org/abs/2310.09234.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

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

Chen, Mingcheng ; Wang, Zhenghui ; Zhao, Zhiyun...
http://arxiv.org/abs/2108.07107.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

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

Yang, Yang ; Shen, Jian ; Qu, Yanru...
http://arxiv.org/abs/2009.05991.  , 2020
Link: http://arxiv.org/abs/200..
 
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