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Personalized News Recommendation: A Survey


Jul 08, 2021
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie


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HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation


Jun 08, 2021
Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang

* ACL 2021 

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GraphFormers: GNN-nested Language Models for Linked Text Representation


May 06, 2021
Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie


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AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search


Apr 25, 2021
Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang

* Accepted as full paper in SIGIR 2021 

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Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks


Apr 22, 2021
Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie


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Search-oriented Differentiable Product Quantization


Apr 16, 2021
Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie


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DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation


Apr 15, 2021
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie

* 10 pages, 10 figures 

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Training Large-Scale News Recommenders with Pretrained Language Models in the Loop


Mar 05, 2021
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie


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Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations


Mar 04, 2021
Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie


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FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation


Mar 01, 2021
Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie


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Training Microsoft News Recommenders with Pretrained Language Models in the Loop


Feb 18, 2021
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie


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Neural News Recommendation with Negative Feedback


Jan 12, 2021
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie

* CCF Transactions on Pervasive Computing and Interaction, 2020, 2(3): 178-188 

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Sampling-Decomposable Generative Adversarial Recommender


Nov 02, 2020
Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen

* Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS2020) 

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Self-supervised Graph Learning for Recommendation


Oct 21, 2020
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie

* 11 pages, 7 pages, 5 tables 

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FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning


Mar 25, 2020
Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie


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A Survey on Knowledge Graph-Based Recommender Systems


Feb 28, 2020
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He

* 17 pages, 1 figure 

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Graph Convolution Machine for Context-aware Recommender System


Jan 30, 2020
Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang


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Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations


Oct 25, 2019
Danyang Liu, Jianxun Lian, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie


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A Novel User Representation Paradigm for Making Personalized Candidate Retrieval


Jul 15, 2019
Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie


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Neural News Recommendation with Attentive Multi-View Learning


Jul 12, 2019
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie


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NPA: Neural News Recommendation with Personalized Attention


Jul 12, 2019
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie


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Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems


Jun 24, 2019
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie

* 7 pages, 4 figures, IJCAI19 

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Collaborative Translational Metric Learning


Jun 04, 2019
Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu

* ICDM 2018 Full Paper 

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Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors


May 29, 2019
Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie

* 4pages, 1 figures 

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NRPA: Neural Recommendation with Personalized Attention


May 29, 2019
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie

* sigir 2019 
* 4 pages, 4 figures 

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Transcribing Content from Structural Images with Spotlight Mechanism


May 27, 2019
Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu

* Accepted by KDD2018 Research Track. In proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18) 

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Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization


Apr 26, 2019
Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie

* 7 pages, 11 figures, accepted by the 2019 World Wide Web Conference (WWW '19) 

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Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation


Apr 26, 2019
Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie

* 7 pages, 3 figures, accepted by the 2019 World Wide Web Conference (WWW'19) 

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