Dr.Zhibin Niu is currently Associate Professor in the College of Intelligence and Computing at Tianjin University. He is a recipient of EU Marie Skłodowska-Curie Fellowship, Europe’s most competitive and prestigious awards. 

He has a multicultural education and research experience. He received his Ph.D. in Computer Sciences from Cardiff University, UK,  and he was lucky to be guided by Prof. Ralph Martin, Dr. Malcolm Sabin, and Dr.Frank Langbein. As a visiting researcher, he was also guided by Prof. Sara McMains, Prof. Vadim Shapiro at the University of California, Berkeley, US and Prof. Bert Juttler at Johannes Kepler University, Austria. He received his Master Degree in Computer Vision and Pattern Recognition from Shanghai Jiao Tong University, and Bachelor Degree in Automation from Tianjin University, China. 

His work leads the feature recognition time complexity from quadratic or exponential to linear, which is a significant breakthrough in this field.  European Commission recognize his approach as Highlighted Contributions. The core paper was listed by the top journal as one of the Most Downloaded Computer-Aided Design Articles; it was also endorsed by Airbus and Rolls-Royce.

Highlighted Publications:

[1]. "iConVis: Interactive Visual Exploration of the Default Contagion Risk for Networked-guarantee Loans." (2020). IEEE VAST 2020. https://arxiv.org/abs/2006.09542  (CCF-A，可视化顶级会议)

[2]. "Contagious Chain Risk Rating for Networked-guarantee Loans." ACM SIGKDD 2020. （CCF-A 数据挖掘顶级会议）

[3]. Retrospect and prospect of a section-based stratigraphic and palaeontological database – Geobiodiversity Database. Earth System Science Data, 2020. （IF=11.333, 地学顶级期刊）

[4]. Rapidly Finding CAD Features Using Database Optimization. Computer-Aided Design. 2015. (CCF-B 计算机辅助设计顶级期刊)

I am looking for highly self-motivated undergraduates and master candidates, who will work on data mining, big data analysis, and computer vision. Please send me up-to-date resume via email (zniu@tju.edu.cn).

我们在基于数据挖掘的多学科交叉领域（如智能金融、智能能源）展开了广泛的研究，欢迎对大数据分析，数据挖掘，计算机视觉感兴趣的同学加入 （智能学部，新媒体学院，深圳佐治亚学院的同学均可接收，请发邮件到zniu@tju.edu.cn）。

• 我们崇尚多学科，多元文化融合，加入我们团队的优秀同学，无论本科还是研究生，在读期间均有机会，获得资助赴欧洲、美国或者日本的研究机构交流学习。

• 我们崇尚做有价值，有影响力的工作，科研论文的质量比数量远远重要，加入我们团队的本科和研究生同学的代码能力、科研和论文表述能力均会得到很好的锻炼。

• 我会尽最大可能为同学们提供优秀的科研环境和计算资源(目前包括4*RTV8000大型服务器200G显存以及若干塔式GPU服务器)，目前团队成员人均配备一台深度学习服务器或者Thinkpad X1隐士笔记本。

• 我们不开大会，我们通过频繁1:1的师生沟通，发现和解决科研问题，推动科研。

部分指导毕业生

1. 潘耀华 （2019-2021），硕士，在读期间发表中科院大类二区SCI期刊一篇，申请专利一项。

2. 李润林（2018-2020），硕士，在读期间发表CCF-A类长文一篇，A类海报一篇，申请专利一项，一等奖学金，天津大学优秀硕士学位论文。

3. 吴俊岐  （2018-2021），本科，在读期间发表中科院大类一区SCI期刊一篇，申请专利一项，天津大学优秀论文摘要。
   

4. 申小靖 （2018-2021），本科，天津大学智算学部优秀毕业论文。
   

• 智能可视分析、数据挖掘、大数据分析（Intelligent visual analytics, Data mining, Big data analytics）
• 智能金融、金融科技、监管科技（Intelligent Finance, Fintech, Regtech）

• 暂无内容

• Yaohua Pan.InSocialNet: Interactive Visual Analytics for Role-Event Videos
• Rapidly Finding CAD Features Using Database Optimization.Computer-Aided De....2019
• Visual analytics for networked guarantee loans risk management.IEEE PacificVis.2019
• Risk Assessment for Networked guarantee Loans Using High Order Graph Attention Representation.IJCAI.2019
• Applying Database Optimization Technologies to Feature Recognition in CAD.Computer-Aided De....2019
• Updating thesalient speech challenge benchmark with deep learning.Speech Communicat....2019
• Architecture Multi-Disciplinary CollaborativeDesign Process Based on Building Information Mode.Journal of Tongji....2019
• Learning Temporal Relationships BetweenFinancial Signals.ICASSP.2019
• Visual saliency detection via rank sparsity decomposition.IEEE ICIP.2019
• Chart Decoder: Generating Textual and Numeric Information from Chart Images Automatically.Journal of Visual....2019
• Hybrid image representation for indoor scene classification.IVCNZ.2019
• Visual saliency based on conditionalentropy.ACCV.2019
• A Novel Approach to Detect Ship Radiated Signal based on HMT.ICPR.2019