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Deep Subdomain Adaptation Network for Image Classification


Jun 17, 2021
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He

* published on TNNLS 

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AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction


Jun 16, 2021
Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He


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Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising


May 31, 2021
Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao

* accepted by KDD2021 

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Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising


May 24, 2021
Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen

* accepted by KDD21 

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Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks


May 11, 2021
Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao

* 10 pages, accepted by SIGIR2021 

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Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users


May 11, 2021
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He

* 5 pages, accepted by SIGIR2021 

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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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