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Meta-learning with an Adaptive Task Scheduler


Oct 26, 2021
Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn

* Accepted by NeurIPS 2021 

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Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering


Sep 13, 2021
Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen


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Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation


May 28, 2021
Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang

* 11 pages. Accepted by the Web Conference 2021 (WWW '21) 

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Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention


May 28, 2021
Yongji Wu, Lu Yin, Defu Lian, Mingyang Yin, Neil Zhenqiang Gong, Jingren Zhou, Hongxia Yang

* 11 pages 

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Assessing Dialogue Systems with Distribution Distances


May 27, 2021
Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu

* Findings of ACL 2021 
* 7 pages, 2 figures 

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A Unified Transferable Model for ML-Enhanced DBMS


May 06, 2021
Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou

* 7 pages, 2 figures, 2 tables 

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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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Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure


Mar 02, 2021
Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng


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Automated Creative Optimization for E-Commerce Advertising


Feb 28, 2021
Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng

* 10 pages, 5 figures, the Web Conference 2021 

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A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising


Feb 18, 2021
Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang

* To be published in the International World Wide Web Conference (WWW) 2021 

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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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GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions


May 12, 2020
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin

* Accepted by IJCAI 2020 

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Binarized Graph Neural Network


Apr 19, 2020
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin


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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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MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network


May 27, 2019
Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su

* Accepted by KDD 2019 Research Track. In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19) 

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