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MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions

Oct 12, 2020
Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso

* Under submission 

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Poet: Product-oriented Video Captioner for E-commerce

Aug 16, 2020
Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu

* 10 pages, 3 figures, to appear in ACM MM 2020 proceedings 

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Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph

Jul 29, 2020
Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou


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Comprehensive Information Integration Modeling Framework for Video Titling

Jun 24, 2020
Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu

* 11 pages, 6 figures, to appear in KDD 2020 proceedings 

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Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems

Jun 11, 2020
Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang


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Contrastive Learning for Debiased Candidate Generation at Scale

Jun 02, 2020
Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang


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Understanding Negative Sampling in Graph Representation Learning

May 20, 2020
Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang

* KDD 2020 

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Taming the Expressiveness and Programmability of Graph Analytical Queries

Apr 20, 2020
Lu Qin, Longbin Lai, Kongzhang Hao, Zhongxin Zhou, Yiwei Zhao, Yuxing Han, Xuemin Lin, Zhengping Qian, Jingren Zhou

* 22 pages 

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InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining

Mar 30, 2020
Junyang Lin, An Yang, Yichang Zhang, Jie Liu, Jingren Zhou, Hongxia Yang

* 11 pages, 4 figures 

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Learning to Hash with Graph Neural Networks for Recommender Systems

Mar 04, 2020
Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu

* 11 pages, 7 figures 

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AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search

Jan 13, 2020
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou


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Practical and Robust Privacy Amplification with Multi-Party Differential Privacy

Aug 30, 2019
Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha


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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks

Aug 28, 2019
Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang

* 25 pages, 5 figures, 10 tables. CIKM 2019 

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Sequential Scenario-Specific Meta Learner for Online Recommendation

Jun 02, 2019
Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang

* Accepted to KDD 2019 

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Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding

May 25, 2019
Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu


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Representation Learning for Attributed Multiplex Heterogeneous Network

May 20, 2019
Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang

* Accepted to KDD 2019. Website: https://sites.google.com/view/gatne 

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Towards Knowledge-Based Personalized Product Description Generation in E-commerce

Apr 30, 2019
Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang

* Accepted to KDD 2019. Website: https://sites.google.com/view/kobe2019 

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PANDA: Facilitating Usable AI Development

Apr 26, 2018
Jinyang Gao, Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Guoliang Li, Teck Khim Ng, Beng Chin Ooi, Sheng Wang, Jingren Zhou


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