Dawei Yin

According to our database, Dawei Yin authored at least 25 papers between 2009 and 2025.

Collaborative distances:

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

2025

AdaSwitch: Adaptive Switching Generation for Knowledge Distillation.

Jingyu Peng, Maolin Wang, Hengyi Cai, Yuchen Li, Kai Zhang, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao

CoRR, October, 2025

2024

A Simple yet Effective Framework for Active Learning to Rank.

Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin

Mach. Intell. Res., February, 2024

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin

Proceedings of the ACM on Web Conference 2024, 2024

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison

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

2023

Pre-trained Language Model-based Retrieval and Ranking for Web Search.

Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin

ACM Trans. Web, February, 2023

Unconfounded Propensity Estimation for Unbiased Ranking.

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison

CoRR, 2023

User Retention-oriented Recommendation with Decision Transformer.

Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin

Proceedings of the ACM Web Conference 2023, 2023

Model-based Unbiased Learning to Rank.

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies.

Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin

CoRR, 2022

2021

MGNETS: Multi-Graph Neural Networks for Table Search.

Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2014

Exploiting contextual factors for click modeling in sponsored search.

Dawei Yin, Shike Mei, Bin Cao, Jian-Tao Sun, Brian D. Davison

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Estimating ad group performance in sponsored search.

Dawei Yin, Bin Cao, Jian-Tao Sun, Brian D. Davison

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Recommendation in Academia: A joint multi-relational model.

Zaihan Yang, Dawei Yin, Brian D. Davison

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Connecting comments and tags: improved modeling of social tagging systems.

Dawei Yin, Shengbo Guo, Boris Chidlovskii, Brian D. Davison, Cédric Archambeau, Guillaume Bouchard

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

2011

Exploiting session-like behaviors in tag prediction.

Dawei Yin, Liangjie Hong, Brian D. Davison

Proceedings of the 20th International Conference on World Wide Web, 2011

Link formation analysis in microblogs.

Dawei Yin, Liangjie Hong, Xiong Xiong, Brian D. Davison

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Award prediction with temporal citation network analysis.

Zaihan Yang, Dawei Yin, Brian D. Davison

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Tracking trends: incorporating term volume into temporal topic models.

Liangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Structural link analysis and prediction in microblogs.

Dawei Yin, Liangjie Hong, Brian D. Davison

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Temporal Dynamics of User Interests in Tagging Systems.

Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. Davison

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Normalizing Microtext.

Zhenzhen Xue, Dawei Yin, Brian D. Davison

Proceedings of the Analyzing Microtext, 2011

2010

A probabilistic model for personalized tag prediction.

Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. Davison

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Choosing your own adventure: automatic taxonomy generation to permit many paths.

Xiaoguang Qi, Dawei Yin, Zhenzhen Xue, Brian D. Davison

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Diversifying Search Results with Popular Subtopics.

Dawei Yin, Zhenzhen Xue, Xiaoguang Qi, Brian D. Davison

Proceedings of The Eighteenth Text REtrieval Conference, 2009