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Combat Data Shift in Few-shot Learning with Knowledge Graph

Feb 26, 2021
Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He

* 10 pages, 3 figures 

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Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction

Jan 18, 2021
Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang

* Accepted by the 35th AAAI Conference on Artificial Intelligence (AAAI 2021) 

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LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification

Jan 09, 2021
Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang

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E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce

Sep 10, 2020
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong

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Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning

Aug 31, 2020
Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong

* 10 pages, accepted as a full paper in KDD 2020 

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Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection

Aug 08, 2020
Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He

* 11 pages, 4 figures 

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Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems

Apr 13, 2020
Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong

* 14 pages, 37 figures 

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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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A Comprehensive Survey on Transfer Learning

Dec 17, 2019
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He

* 27 pages, 6 figures 

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Transfer Learning Toolkit: Primers and Benchmarks

Nov 20, 2019
Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He

* A Transfer Learning Toolkit 

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Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning

Oct 11, 2019
Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long

* Multi-view learning, Adaptive kernel, Maximum margin learning, Linear scalability, Dirichlet process Gaussian mixtures, Bayesian inference, Data augmentation, Hamiltonian Monte Carlo 

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Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling

Oct 10, 2019
Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long

* Learning beyond predefined labels; Generalized zero-shot learning; Semi-supervised learning; Generative model; Nonparametric Bayesian learning; Hierarchical Dirichlet process; Topic modelling; Collapsed Gibbs sampling 

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Cross-Domain Labeled LDA for Cross-Domain Text Classification

Sep 16, 2018
Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu

* ICDM 2018 

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Policy Gradients for General Contextual Bandits

May 22, 2018
Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He

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The Automatic Identification of Butterfly Species

Mar 18, 2018
Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu

* 9 pages, in Chinese, 8 figures 

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