Li Zhao

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A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM

Micro-expression (ME) recognition plays a crucial role in a wide range o...
11/07/2020 ∙ by Jinming Liu, et al. ∙ 0 ∙ share

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Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data

This paper presents a novel framework to build a voice conversion (VC) s...
09/30/2020 ∙ by Mingyang Zhang, et al. ∙ 0 ∙ share

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Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

To better understand early brain growth patterns in health and disorder,...
07/04/2020 ∙ by Yue Sun, et al. ∙ 16 ∙ share

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Suphx: Mastering Mahjong with Deep Reinforcement Learning

Artificial Intelligence (AI) has achieved great success in many domains,...
03/30/2020 ∙ by Junjie Li, et al. ∙ 0 ∙ share

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A Vision of C-V2X: Technologies, Field Testing and Challenges with Chinese Development

C-V2X (Cellular Vehicle-to-Everything) is the important enabling technol...
02/20/2020 ∙ by Shenzhi Chen, et al. ∙ 0 ∙ share

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Distributional Reward Decomposition for Reinforcement Learning

Many reinforcement learning (RL) tasks have specific properties that can...
11/06/2019 ∙ by Zichuan Lin, et al. ∙ 38 ∙ share

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Fully Parameterized Quantile Function for Distributional Reinforcement Learning

Distributional Reinforcement Learning (RL) differs from traditional RL i...
11/05/2019 ∙ by Derek Yang, et al. ∙ 17 ∙ share

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Reinforcement Learning for Relation Classification from Noisy Data

Existing relation classification methods that rely on distant supervisio...
08/24/2018 ∙ by Jun Feng, et al. ∙ 6 ∙ share

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Adversarial Neural Machine Translation

In this paper, we study a new learning paradigm for Neural Machine Trans...
04/20/2017 ∙ by Lijun Wu, et al. ∙ 0 ∙ share

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Somoclu: An Efficient Parallel Library for Self-Organizing Maps

Somoclu is a massively parallel tool for training self-organizing maps o...
05/07/2013 ∙ by Peter Wittek, et al. ∙ 0 ∙ share

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Mining Compressed Repetitive Gapped Sequential Patterns Efficiently

Mining frequent sequential patterns from sequence databases has been a c...
06/04/2009 ∙ by Yongxin Tong, et al. ∙ 0 ∙ share

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Li Zhao

Featured Co-authors

Yu Zhang

Yang Yang

Tie-Yan Liu

Chao Wang

Li Wang

Yi Zhou

Tao Qin

Minlie Huang

Ke Li

Haizhou Li

Ke Xu

A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM

Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

Suphx: Mastering Mahjong with Deep Reinforcement Learning

A Vision of C-V2X: Technologies, Field Testing and Challenges with Chinese Development

Distributional Reward Decomposition for Reinforcement Learning

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

Reinforcement Learning for Relation Classification from Noisy Data

Adversarial Neural Machine Translation

Somoclu: An Efficient Parallel Library for Self-Organizing Maps

Mining Compressed Repetitive Gapped Sequential Patterns Efficiently