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Multi-rate attention architecture for fast streamable Text-to-speech spectrum modeling

Apr 01, 2021
Qing He, Zhiping Xiu, Thilo Koehler, Jilong Wu

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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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FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge

Nov 25, 2020
Bichen Wu, Qing He, Peizhao Zhang, Thilo Koehler, Kurt Keutzer, Peter Vajda

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Trust the Model When It Is Confident: Masked Model-based Actor-Critic

Oct 10, 2020
Feiyang Pan, Jia He, Dandan Tu, Qing He

* NeurIPS 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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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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Detection of Malfunctioning Smart Electricity Meter

Jul 26, 2019
Ming Liu, Dongpeng Liu, Guangyu Sun, Yi Zhao, Duolin Wang, Fangxing Liu, Xiang Fang, Qing He, Dong Xu

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Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks

May 28, 2019
Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He

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Atom Responding Machine for Dialog Generation

May 15, 2019
Ganbin Zhou, Ping Luo, Jingwu Chen, Fen Lin, Leyu Lin, Qing He

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Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

Apr 25, 2019
Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He

* Accepted at SIGIR 2019 

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A Fast, Semi-Automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging

Apr 21, 2019
Kevin Karsch, Qing He, Ye Duan

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Web Based Brain Volume Calculation for Magnetic Resonance Images

Apr 21, 2019
Kevin Karsch, Brian Grinstead, Qing He, Ye Duan

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Policy Optimization with Model-based Explorations

Nov 18, 2018
Feiyang Pan, Qingpeng Cai, An-Xiang Zeng, Chun-Xiang Pan, Qing Da, Hualin He, Qing He, Pingzhong Tang

* Accepted at AAAI-19 

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Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents

Aug 22, 2018
Ganbin Zhou, Rongyu Cao, Xiang Ao, Ping Luo, Fen Lin, Leyu Lin, Qing He

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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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Free-rider Episode Screening via Dual Partition Model

May 19, 2018
Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He

* The 23rd International Conference on Database Systems for Advanced Applications(DASFAA 2018), 16 Pages 

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Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation

Jan 03, 2018
Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He

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