Jiarui Qin

According to our database, Jiarui Qin authored at least 34 papers between 2019 and 2024.

Collaborative distances:

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

2024

Attacking Click-through Rate Predictors via Generating Realistic Fake Samples.

Mingxing Duan, Kenli Li, Weinan Zhang, Jiarui Qin, Bin Xiao

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

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations.

Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Yong Yu, Weinan Zhang

CoRR, 2024

A Comprehensive Survey on Retrieval Methods in Recommender Systems.

Junjie Huang, Jizheng Chen, Jianghao Lin, Jiarui Qin, Ziming Feng, Weinan Zhang, Yong Yu

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

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems.

Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2024

Multilevel intuitive attention neural network for airborne LiDAR point cloud semantic segmentation.

Ziyang Wang, Hui Chen, Jing Liu, Jiarui Qin, Yehua Sheng, Lin Yang

Int. J. Appl. Earth Obs. Geoinformation, 2024

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation.

Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the ACM on Web Conference 2024, 2024

Retrieval-Oriented Knowledge for Click-Through Rate Prediction.

Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Learning to Retrieve User Behaviors for Click-through Rate Estimation.

Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu

ACM Trans. Inf. Syst., October, 2023

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation.

Jiarui Qin, Jiachen Zhu, Yankai Liu, Junchao Gao, Jianjie Ying, Chaoxiong Liu, Ding Wang, Junlan Feng, Chao Deng, Xiaozheng Wang, Jian Jiang, Cong Liu, Yong Yu, Haitao Zeng, Weinan Zhang

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

A Survey on User Behavior Modeling in Recommender Systems.

Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

2022

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.

Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola

ACM Trans. Inf. Syst., 2022

Hole Filling of Single Building Point Cloud Considering Local Similarity among Floors.

Xiangqiang Min, Yanfeng Wang, Ka Zhang, Yehua Sheng, Jiarui Qin, Yi Huang

Remote. Sens., 2022

Modeling vague spatiotemporal objects based on interval type-2 fuzzy sets.

Yue Yin, Yehua Sheng, Yufeng He, Jiarui Qin

Int. J. Geogr. Inf. Sci., 2022

Processes and events in the centre: a dynamic data model for representing spatial change.

Yufeng He, Yehua Sheng, Barbara Hofer, Yi Huang, Jiarui Qin

Int. J. Digit. Earth, 2022

Interval type-2 fuzzy C-means forecasting model for fuzzy time series.

Yue Yin, Yehua Sheng, Jiarui Qin

Appl. Soft Comput., 2022

PeerRank: Robust Learning to Rank With Peer Loss Over Noisy Labels.

Xin Wu, Qing Liu, Jiarui Qin, Yong Yu

IEEE Access, 2022

Improving Knowledge Tracing with Collaborative Information.

Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows.

Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang

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

Neural Re-ranking for Multi-stage Recommender Systems.

Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Neural Re-ranking in Multi-stage Recommender Systems: A Review.

Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.

Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.

Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve.

Yi Huang, Mengyi Wang, Qianqian Qiu, Lizhi Miao, Haiping Zhang, Jiarui Qin, Xiangqiang Min, Yehua Sheng

J. Sensors, 2021

Retrieval & Interaction Machine for Tabular Data Prediction.

Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deep Learning for Click-Through Rate Estimation.

Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.

Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola

CoRR, 2020

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling.

Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

User Behavior Retrieval for Click-Through Rate Prediction.

Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu

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

An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.

Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.

Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Deep Landscape Forecasting for Real-time Bidding Advertising.

Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Recurrent Survival Analysis.

Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu

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