Xinyi Dai

According to our database, Xinyi Dai authored at least 34 papers between 2018 and 2025.

Collaborative distances:

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

2025

Large language models make sample-efficient recommender systems.

Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

Frontiers Comput. Sci., April, 2025

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.

Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Utility-Oriented Reranking with Counterfactual Context.

Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Qing Liu, Weinan Zhang, Yong Yu

ACM Trans. Knowl. Discov. Data, September, 2024

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems.

Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang

ACM Trans. Inf. Syst., July, 2024

A Survey on Bid Optimization in Real-Time Bidding Display Advertising.

Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu

ACM Trans. Knowl. Discov. Data, April, 2024

RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.

Qingyao Li, Wei Xia, Kounianhua Du, Xinyi Dai, Ruiming Tang, Yasheng Wang, Yong Yu, Weinan Zhang

CoRR, 2024

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation.

Jiachen Zhu, Jianghao Lin, Xinyi Dai, Bo Chen, Rong Shan, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era.

Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang

CoRR, 2024

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.

Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

CoRR, 2024

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.

Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the ACM on Web Conference 2024, 2024

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.

Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.

Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery.

Jie Chen, Xinyi Dai, Ya Guo, Jingru Zhu, Xiaoming Mei, Min Deng, Geng Sun

Remote. Sens., March, 2023

How Can Recommender Systems Benefit from Large Language Models: A Survey.

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

CoRR, 2023

A Bird's-eye View of Reranking: From List Level to Page Level.

Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu

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

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding.

Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu

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

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction.

Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang

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

Personalized Diversification for Neural Re-ranking in Recommendation.

Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers - An Application to Information Retrieval.

Yao Li, Yifan Liu, Xinyi Dai, Jianghao Lin, Hang Lai, Yunfei Liu, Yong Yu

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising.

Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu

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

Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences.

Mengdi Chu, Keyu Zong, Xin Shu, Jiangtao Gong, Zhicong Lu, Kaimin Guo, Xinyi Dai, Guyue Zhou

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank.

Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu

ACM Trans. Inf. Syst., 2022

A co-word analysis of museum tourism experience via hierarchy of needs: Case study of the China Block Printing Museum at Yangzhou.

Xinyi Dai, Lei Xu, Jia Liu

J. Comput. Methods Sci. Eng., 2022

An advanced combination of semi-supervised Normalizing Flow & Yolo (YoloNF) to detect and recognize vehicle license plates.

Khalid Oublal, Xinyi Dai

CoRR, 2022

Multi-Level Interaction Reranking with User Behavior History.

Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Return Parity in Markov Decision Processes.

Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Context-aware Reranking with Utility Maximization for Recommendation.

Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu

CoRR, 2021

An Adversarial Imitation Click Model for Information Retrieval.

Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu

Proceedings of the WWW '21: The Web Conference 2021, 2021

A Graph-Enhanced Click Model for Web Search.

Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu

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

2020

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning.

Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

U-rank: Utility-oriented Learning to Rank with Implicit Feedback.

Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Semi-supervised deep embedded clustering.

Yazhou Ren, Kangrong Hu, Xinyi Dai, Lili Pan, Steven C. H. Hoi, Zenglin Xu

Neurocomputing, 2019

Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient.

Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Design of Delayed Ternary PUF Circuit Based on CNFET.

Zhengyang He, Kai Ren, Jiayan Chen, Xinyi Dai, Zhao Pan, Yuejun Zhang

Proceedings of the 24th Asia-Pacific Conference on Communications, 2018