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<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>Tianshui Chen (陈添水) | 中山大学人机物智能融合实验室</title>
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<!-- 导航栏 -->
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<ul class="nav nav-tabs" >
<li id='nav-bar-1' style="width: 150px;">    </li>
<li id='nav-bar-1' class=""><a href="index.html">Tianshui Chen （陈添水）</a></li>
<li id='nav-bar-2' class="active"><a href="Publication.html">Publications</a></li>
</ul>
</div>
<div class="row clearfix" style=" background-color: white;margin:60px 0px 100px 50px;">
<div class="col-md-12 column" style=" background-color: white;padding:50px 100px 50px 50px;">
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<div class="col-md-12 column" style="float: left;">
<ul style="float: left;">
<!-- Tournal papers -->
<p class="second-heading" style="margin-left: -15px;">Journal papers</p>
<li><p class="Text-context"> <b style="font-weight:bold;">Tianshui Chen</b>, Liang Lin, Xian Wu, and Xiaonan Luo, Learning to Segment Object
Candidates via Recursive Neural Networks, to appear in IEEE Transactions on Image Processing (<b style="font-weight:bold;">T-IP</b>).
[<a href="https://arxiv.org/abs/1612.01057">PDF</a>]
[<a href="http://www.sysu-hcp.net/learning-to-segment-object-proposals-via-recursive-neural-networks/">ProjectPage</a>]</p></li>
<li><p class="Text-context"> Dongyu Zhang, Liang Lin, <b style="font-weight:bold;">Tianshui Chen</b>, Xian Wu, Wenwei Tan,
and Ebroul Izquierdo, Content-Adaptive Sketch Portrait Generation by Decompositional Representation
Learning, IEEE Transactions on Image Processing (<b style="font-weight:bold;">T-IP</b>), 26(1): 328-339, 2017.
[<a href="https://arxiv.org/abs/1710.01453">PDF</a>]
[<a href="http://www.sysu-hcp.net/photo-sketch-generation-and-verification/">ProjectPage</a>]
</p></li>
<li><p class="Text-context"> <b style="font-weight:bold;">Tianshui Chen</b>, Liang Lin, Lingbo Liu, Xiaonan Luo, and Xuelong Li, DISC: Deep Image Saliency
Computing via Progressive Representation Learning, IEEE Transactions on Neural Networks and Learning
Systems (<b style="font-weight:bold;">T-NNLS</b>), 27(6): 1135-1149, 2016.
[<a href="https://arxiv.org/abs/1511.04192">PDF</a>]
[<a href="https://github.com/tianshuichen/DISC">Code</a>]
[<a href="http://www.sysu-hcp.net/disc-deep-image-saliency-computing-via-progressive-representation-learning/">ProjectPage</a>]
</p></li>
</ul>
<ul style="float: left;">
<!-- Conference papers -->
<p class="second-heading" style="margin-left: -15px;">Conference papers</p>
<li><p class="Text-context"><b style="font-weight:bold;">Tianshui Chen</b>, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo,
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition, Proc. of International Joint
Conference on Artificial Intelligence (<b style="font-weight:bold;">IJCAI</b>), 2018.
[<a href="https://arxiv.org/abs/1807.00505">PDF</a>]
</p></li>
<li><p class="Text-context"><b style="font-weight:bold;">Tianshui Chen†</b>, Zhouxia Wang†, Jimmy Ren, Weihao Yu,
Hui Cheng, Liang Lin, Deep Reasoning with Knowledge Graph for Social Relationship Understanding, Proc. of International
Joint Conference on Artificial Intelligence (<b style="font-weight:bold;">IJCAI</b>), 2018. (†co-first authors).
[<a href="https://arxiv.org/abs/1807.00504">PDF</a>]
[<a href="https://github.com/HCPLab-SYSU/SR">Code</a>]
</p></li>
<li><p class="Text-context"><b style="font-weight:bold;">Tianshui Chen</b>, Liang Lin, Wangmeng Zuo, Xiaonan Luo, and Lei Zhang,
Learning A Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks, Proc. of AAAI Conference on
Artificial Intelligence (<b style="font-weight:bold;">AAAI</b>), 2018. (Oral Presentation)
[<a href="https://arxiv.org/abs/1712.07493">PDF</a>]
[<a href="https://github.com/tianshuichen/Wavelet-like-Auto-Encoder">Code</a>]
[<a href="http://www.sysu-hcp.net/wae/">ProjectPage</a>]
</p></li>
<li><p class="Text-context"><b style="font-weight:bold;">Tianshui Chen</b>, Zhouxia Wang, Guanbin Li, and Liang Lin,
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition, Proc. of AAAI Conference
on Artificial Intelligence (<b style="font-weight:bold;">AAAI</b>), 2018.
[<a href="https://arxiv.org/abs/1712.07465">PDF</a>]
</p></li>
<li><p class="Text-context"><b style="font-weight:bold;">Tianshui Chen†</b>, Zhouxia Wang†, Guanbin Li, Ruijia Xu, and Liang Lin,
Multi-label Image Recognition by Recurrently Discovering Attentional Regions, Proc. of IEEE International
Conference on Computer Vision (<b style="font-weight:bold;">ICCV</b>), 2017. (†co-first authors).
[<a href="https://arxiv.org/abs/1711.02816">PDF</a>]
</p></li>
<li><p class="Text-context">Liang Lin, <b style="font-weight:bold;">Tianshui Chen†</b>,
Lili Huang†, Yukang Gan, and Hui Cheng, Knowledge-Guided Recurrent Neural Network Learning
for Task-oriented Action Prediction, Proc. of IEEE
International Conference on Multimedia and Expo (<b style="font-weight:bold;">ICME</b>), 2017.
(<b style="font-weight:bold;">The world’s first 10K Best Paper Diamond Award</b>,
More info: <a href="http://www.ieee-icme.org/sc/award.php">http://www.ieee-icme.org/sc/award.php</a>, †co-second authors).
[<a href="https://arxiv.org/abs/1707.04677">PDF</a>]
</p></li>
<li><p class="Text-context">Shuye Zhang, Mude Lin, <b style="font-weight:bold;">Tianshui Chen</b>, Lianwen Jin, Liang Lin,
Character Proposal Network for Robust Text Extraction, Proc. of IEEE International Conference on
Acoustics, Speech and Signal Processing (<b style="font-weight:bold;">ICASSP</b>), 2016.
[<a href="https://arxiv.org/abs/1602.04348">PDF</a>]
</p></li>
</ul>
</div>
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