导师个人信息 - 电子科大研招网

电子科技大学（深圳）高等研究院

导师代码：	11705
导师姓名：	申恒涛
性别：	男
特称：
职称：	教授
学位：	哲学博士学位
属性：	专职
电子邮件：	shenhengtao@hotmail.com

学术经历：

教育经历：
2000/09 – 2004/06, 新加坡国立大学，计算机学院，博士
1996/09 – 2000/07, 新加坡国立大学，计算机学院，本科（一等荣誉）

工作经历：
2018/09 - 现在, 电子科技大学，人工智能研究院执行院长
2017/12 - 现在, 电子科技大学，计算机科学与工程学院，院长
2017/03 - 现在, 电子科技大学，计算机科学与工程学院，教授
2012/01 - 2017/11，澳大利亚昆士兰大学，电子工程与信息科技学院，教授
2010/01 - 2011/12，澳大利亚昆士兰大学，电子工程与信息科技学院, 副教授
2007/03 - 2009/12, 澳大利亚昆士兰大学，电子工程与信息科技学院，高级讲师
2004/06 - 2007/2, 澳大利亚昆士兰大学，电子工程与信息科技学院，讲师

个人简介：

电子科技大学教授、博导，电子科技大学计算机科学与工程学院院长，电子科技大学人工智能研究院执行院长，未来媒体研究中心主任。他分别于2000年和2004年获得了新加坡国立大学计算机科学系一等荣誉学士和博士学位。随后加入昆士兰大学担任讲师，高级讲师，副教授，并于2011年底成为教授。一直从事最前沿的计算机科学研究，研究方向包括多媒体搜索，计算机视觉，人工智能，和大数据管理。申恒涛教授持续20多年在多媒体大数据的分析、理解、索引和搜索等方面深入研究，在国际上率先实现了实时的近重复视频内容搜索系统。累计发表了280多篇高水平同行评审论文，包括2篇综述性文章“A survey on learning to hash” in IEEE TPAMI 2018 和“Near-duplicate Video Retrieval: Current Research and Future Trends”in ACM Computing Surveys 2013, 80多篇 IEEE/ACM Transactions，和200多篇CCF A类论文（ IEEE TIP, IEEE TPAMI, IEEE TNNLS，IEEE TKDE, ACM TOIS, VLDB Journal, ACM Multimedia, ACM SIGMOD, ACM SIGIR, VLDB, AAAI, IJCAI, CVPR, ICDE, etc.）, 并获得了7个国际会议最佳论文奖，包括A类会议ACM Multimedia 2017 最佳论文奖和ACM SIGIR 2017 最佳论文-Honourable Mention奖。曾多次被很多国际会议或者研讨会邀请做大会报告。杰出的学术成就使其获得2010年澳洲计算研究与教育学会授予的Chris Wallace Award，2012年澳大利亚研究理事会Future Fellowship，中华全国总工会颁发的2016年第六届“中国侨界贡献奖”, 以及2019年四川杰出人才奖。曾管理了15个科学研究项目，包括科技部科技创新2030-“新一代人工智能”重大项目1项、国家自然科学基金会的1个重点项目和澳大利亚研究理事会的8个项目。申恒涛教授目前担任大数据领域重要期刊IEEE Transactions on Knowledge and Data Engineering和ACM Transactions on Data Science编委，曾任IEEE Transactions on Multimedia、World Wide Web Journal 和Neurocomputing的客座编委。申恒涛教授作为大会联合主席将在成都举办多媒体领域唯一的CCF A类学术会议ACM Multimedia 2021，也曾在澳大利亚分别作为Local Organization Co-Chair和TPC Co-Chair成功举办过数据库领域CCF A类学术会议ICDE 2013和多媒体领域CCF A类学术会议ACM Multimedia 2015。也与世界许多知名大学建立了长期合作与互访关系，是昆士兰大学的荣誉教授（Honorary Professor），名古屋大学和新加坡国立大学的访问教授(Visiting Professor)。

更新信息，请参见：http://bmc.uestc.edu.cn/

科研项目：

《地空协作的重大灾害监测搜救平台主动认知技术研究》科技部科技创新2030-“新一代人工智能”重大项目主持
《移动交互环境下的大媒体内容分析与检索》国家自然科学基金重点项目主持
《Synergizing Multimedia Content Understanding with Social Data Analysis》澳大利亚研究理事会主持
《Effective and Efficient Video Search》澳大利亚研究理事会主持
《Real-time Event Detection, Prediction, and Visualization for Emergency Response》澳大利亚研究理事会主持

研究成果：

部分代表性论文：
1. Jiwei Wei, Xing Xu*, Yang Yang, Yanli Ji, Zheng Wang, Heng Tao Shen. "Universal Weighting Metric Learning for Cross-Modal Matching". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
2. Teng Long ,Pascal Mettes, Heng Tao Shen*,Cees Snoek. "Searching for Actions on the Hyperbole". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
3. Xing Xu, Jiefu Chen, Jinhui Xiao, Lianli Gao, Fumin Shen, Heng Tao Shen*. "What Machines See Is Not What They Get: Fooling Scene Text Recognition Models with Adversarial Text Images". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
4. Haodong Liao, Ning Xie*, Huiyuan Li, Yuhang Li, Jianping Su, Feng Jiang, Weipeng Huang and Heng Tao Shen. "Data-Driven Spatio-Temporal Analysis via Multi-Modal Zeitgebers and Cognitive Load in VR". IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), 2020.
5. JiWei Wei , Yang Yang* , JingJing Li, Lei Zhu, Lin Zuo, Heng Tao Shen. "Residual Graph Convolutional Networks for Zero-Shot Learning". ACM Multimedia , 2019.
6. Yazhou Yao, Fumin Shen, Li Liu, Fan Zhu, Guosen Xie, Jian Zhang, and Heng Tao Shen. “Exploiting Web Images for Multi-output Classi？cation: From Category to Subcategories”. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019.
7. Xing Xu, Tan Wang, Yang Yang, Lin Zuo, Fumin Shen and Heng Tao Shen*. "Cross-Modal Attention with Semantic Consistence for Image-Text Matching". IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019.
8. Shiyuan He, Bokun Wang, Zheng Wang, Yang Yang, Fumin Shen, Zi Huang, and Heng Tao Shen. “Bidirectional Discrete Matrix Factorization Hashing for Image Search”. IEEE Transactions on Cybernetics (TOC), 2019.
9. Xu Lu, Lei Zhu, Jingjing Li, Huaxiang Zhang, Heng Tao Shen. “Efficient Supervised Discrete Multi-view Hashing for Largescale Multimedia Search”. IEEE Transactions on Multimedia (TMM), 2019.
10. Qidi Xu, Haocheng Xu, Weilong Chen, Chaojun Han, Haoyang Li, Fumin Shen*, Heng Tao Shen. "Time-aware Session Embedding for Click-Through-Rate Prediction". In Proceedings of 27th ACM International Conference on Multimedia (ACM MM), 2019.(Grand Challenge First Place Winner)
11. Xiangpeng Li, Lianli Gao, Xuanhan Wang, Wu Liu, Xing Xu, Jingkuan Song*and Heng Tao Shen. “Learnable Aggregating Net with Divergent Loss for Video Question Answering”. In Proceedings of 27th ACM International Conference on Multimedia (ACM MM), 2019.
12. Yuyu Guo, Lianli Gao, Jingkuan Song*, Peng Wang, Wuyuan Xie and Heng Tao Shen. “Adaptive Multi-path Aggregation for Dense Human Pose Estimation In The Wild”. In Proceedings of 27th ACM International Conference on Multimedia (ACM MM), 2019.
13. Yanli Ji, Feixiang Xu, Yang Yang, Ning Xie, Heng Tao Shen* and Tatsuya Harada. “Attention Transfer (ANT) Network for View-invariant Action Recognition”. In Proceedings of 27th ACM International Conference on Multimedia (ACM MM), 2019.
14. Tan Wang, Xing Xu*, Yang Yang*, Alan Hanjalic, Heng Tao Shen and Jingkuan Song. “Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking”. In Proceedings of 27th ACM International Conference on Multimedia (ACM MM), 2019.
15. Jingyi Zhang, Zhen Wei, Ionut Cosmin Duta, Fumin Shen*, Li Liu, Fan Zhu, Xing Xu, Ling Shao and Heng Tao Shen. “Generative Reconstructive Hashing for Incomplete Video Analysis”. In Proceedings of 27th ACM International Conference on Multimedia (ACM MM), 2019.
16. Jingkuan Song, Xiaosu Zhu, Lianli Gao, Zhou Zhao, Heng Tao Shen. “Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval”. International Joint Conference on Artificial Intelligence (IJCAI), 2019.
17. Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen*. “Deep Recurrent Quantization for Generating Sequential Binary Codes”. International Joint Conference on Artificial Intelligence (IJCAI), 2019.
18. Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen.“On both Cold-Start and Long-Tail Recommendation with Social Data”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
19. Heng Tao Shen, Luchen Liu, Zi Huang, Xing Xu, Fumin Shen, Richang Hong, Yang Yang*. “Exploiting Subspace Relation in Semantic Labels for Cross-modal Hashing”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
20. Xing Xu, Huimin Lu, Jingkuan Song, Yang Yang, Heng Tao Shen*, Xuelong Li. "Ternary Adversarial Networks with Self-Supervision for Zero-Shot Cross-Modal Retrieval". IEEE Transactions on Cybernetics (TOC), 2019.
21. Yanli Ji, Yang Yang, Fumin Shen, Heng Tao Shen*, Xuelong Li. “A Survey of Human Action Analysis in HRI Applications”. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019.
22. Dongxiang Zhang, Lei Wang, Nuo Xu, Bing Tian Dai, Heng Tao Shen*. “The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers”. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
23. Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, and Heng Tao Shen. “Towards Automatic Construction of Diverse, High-quality Image Datasets”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
24. Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen, "Order-aware Convolutional Pooling for Video Based Action Recognition". Pattern Recognition (PR), 2019.
25. Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu. “Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables”. In Proceedings of 32nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
26. Yaping Zhang, Shuai Nie, Wenju Liu, Xing Xu, Dongxiang Zhang, Heng Tao Shen. “Sequence-to-Sequence Domain Adaptation Network for Robust Text Image Recognition”. In Proceedings of 32nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
27. LianliGao, Xiangpeng Li, Jingkuan Song, Heng Tao Shen*. “Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning”. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. 、
28. Fumin Shen, Xiang Zhou, Jun Yu, Yang Yang, Li Liu, Heng Tao Shen*. “Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings”. IEEE Transactions on Image Processing (TIP), 2019.
29. Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu and Heng Tao Shen. “Locality Preserving Joint Transfer for Domain Adaptation”. IEEE Transactions on Image Processing (TIP), 2019.
30. Mengqiu Hu, Yang Yang, Fumin Shen, Ning Xie, Richang Hong, Heng Tao Shen. “Collective Reconstructive Embeddings for Cross-modal Hashing”. IEEE Transactions on Image Processing (TIP), 2019.