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2020 – today
- 2024
[j10]Ziyang Wang, Hui Chen, Jing Liu
, Jiarui Qin, Yehua Sheng, Lin Yang:
Multilevel intuitive attention neural network for airborne LiDAR point cloud semantic segmentation. Int. J. Appl. Earth Obs. Geoinformation 132: 104020 (2024)- [j9]Mingxing Duan, Kenli Li, Weinan Zhang, Jiarui Qin, Bin Xiao:
Attacking Click-through Rate Predictors via Generating Realistic Fake Samples. ACM Trans. Knowl. Discov. Data 18(5): 110:1-110:24 (2024) - [c18]Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu:
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. WWW 2024: 3844-3853 - [i18]Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu:
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. CoRR abs/2401.11478 (2024) - [i17]Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu:
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. CoRR abs/2404.07581 (2024) - [i16]Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Yang Yang, Hao Zhang, Ruiming Tang:
Retrieval-Oriented Knowledge for Click-Through Rate Prediction. CoRR abs/2404.18304 (2024) - [i15]Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang:
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR abs/2407.10081 (2024) - [i14]Junjie Huang, Jizheng Chen, Jianghao Lin, Jiarui Qin, Ziming Feng, Weinan Zhang, Yong Yu:
A Comprehensive Survey on Retrieval Methods in Recommender Systems. CoRR abs/2407.21022 (2024) - 2023
- [j8]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu:
Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. 41(4): 98:1-98:31 (2023) - [c17]Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang:
Personalized Diversification for Neural Re-ranking in Recommendation. ICDE 2023: 802-815 - [c16]Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang:
A Survey on User Behavior Modeling in Recommender Systems. IJCAI 2023: 6656-6664 - [c15]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:
Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. WSDM 2023: 204-212 - [i13]Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang:
A Survey on User Behavior Modeling in Recommender Systems. CoRR abs/2302.11087 (2023) - 2022
- [j7]Xin Wu, Qing Liu, Jiarui Qin, Yong Yu:
PeerRank: Robust Learning to Rank With Peer Loss Over Noisy Labels. IEEE Access 10: 6830-6841 (2022) - [j6]Yue Yin, Yehua Sheng, Jiarui Qin:
Interval type-2 fuzzy C-means forecasting model for fuzzy time series. Appl. Soft Comput. 129: 109574 (2022) - [j5]Yufeng He, Yehua Sheng, Barbara Hofer, Yi Huang, Jiarui Qin:
Processes and events in the centre: a dynamic data model for representing spatial change. Int. J. Digit. Earth 15(1): 276-295 (2022) - [j4]Yue Yin, Yehua Sheng, Yufeng He, Jiarui Qin:
Modeling vague spatiotemporal objects based on interval type-2 fuzzy sets. Int. J. Geogr. Inf. Sci. 36(6): 1258-1273 (2022) - [j3]Xiangqiang Min, Yanfeng Wang, Ka Zhang, Yehua Sheng, Jiarui Qin, Yi Huang:
Hole Filling of Single Building Point Cloud Considering Local Similarity among Floors. Remote. Sens. 14(8): 1900 (2022) - [j2]Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola:
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. ACM Trans. Inf. Syst. 40(3): 45:1-45:35 (2022) - [c14]Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang:
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CIKM 2022: 2549-2558 - [c13]Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang:
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE 2022: 727-740 - [c12]Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang:
Neural Re-ranking in Multi-stage Recommender Systems: A Review. IJCAI 2022: 5512-5520 - [c11]Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen:
Neural Re-ranking for Multi-stage Recommender Systems. RecSys 2022: 698-699 - [c10]Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang:
RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. SIGIR 2022: 814-824 - [c9]Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu:
Improving Knowledge Tracing with Collaborative Information. WSDM 2022: 599-607 - [i12]Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang:
Neural Re-ranking in Multi-stage Recommender Systems: A Review. CoRR abs/2202.06602 (2022) - [i11]Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang:
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CoRR abs/2210.14577 (2022) - 2021
- [j1]Yi Huang, Mengyi Wang, Qianqian Qiu, Lizhi Miao, Haiping Zhang, Jiarui Qin, Xiangqiang Min, Yehua Sheng:
Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve. J. Sensors 2021: 1-13 (2021) - [c8]Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He:
Deep Learning for Click-Through Rate Estimation. IJCAI 2021: 4695-4703 - [c7]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. KDD 2021: 1379-1389 - [i10]Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He:
Deep Learning for Click-Through Rate Estimation. CoRR abs/2104.10584 (2021) - [i9]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. CoRR abs/2108.05252 (2021) - [i8]Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang:
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR abs/2111.15068 (2021) - 2020
- [c6]Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola:
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. KDD 2020: 75-84 - [c5]Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu:
User Behavior Retrieval for Click-Through Rate Prediction. SIGIR 2020: 2347-2356 - [c4]Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu:
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. WSDM 2020: 465-473 - [i7]Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu:
User Behavior Retrieval for Click-Through Rate Prediction. CoRR abs/2005.14171 (2020) - [i6]Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola:
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. CoRR abs/2007.00216 (2020) - [i5]Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola:
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. CoRR abs/2011.12683 (2020)
2010 – 2019
- 2019
- [c3]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. AAAI 2019: 4798-4805 - [c2]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu:
Deep Landscape Forecasting for Real-time Bidding Advertising. KDD 2019: 363-372 - [c1]Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR 2019: 565-574 - [i4]Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. CoRR abs/1905.00758 (2019) - [i3]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu:
Deep Landscape Forecasting for Real-time Bidding Advertising. CoRR abs/1905.03028 (2019) - [i2]Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu:
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. CoRR abs/1911.03883 (2019) - 2018
- [i1]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. CoRR abs/1809.02403 (2018)
Coauthor Index
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last updated on 2024-10-08 20:31 CEST by the dblp team
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