汤斯亮副教授

汤斯亮,工学博士,副教授,博士生导师,入选钱江人才计划

浙江大学计算机学院人工智能研究所

电话:0571-87951550

E-mail:siliang@zju.edu.cn

 

 浙江大学计算机学院人工智能研究所副教授、博士生导师,入选钱江人才计划,浙江大学计算机学院数字媒体计算与设计实验室青年骨干教师。

主要研究领域为机器学习、数据挖掘、自然语言处理、多媒体等方面。参加工作以来,作为第一负责人先后主持国家级与省部级等纵向项目共7项;作为项目主要成员,参与国家级与省部级项目5项,其中包括国家973 计划子课题,863重点项目等国家重大研究计划。在多媒体、机器学习、数据挖掘、可视分析等计算机领域国际顶级会议与期刊上发表录用论文20多篇,其中有10篇论文被IJCAI、AAAI(国际人工智能大会)、SIGMM(多媒体领域顶级会议)、SIGIR(信息检索领域顶级会议)、IEEE VIS(可视化年会)等CCF A类顶级会议录用或发表,有5篇被IEEE TKDE、IEEE TIP、IEEE TMM等IEEE Transactions录用或发表。担任Information Science(SCI影响因子4.038), Neural Networks(SCI影响因子2.708)等国际期刊论文审稿人,申请发明专利12 项。

 

  • 承担的部分科研项目:

 

  1. 结合深度学习与非参数先验的自动新闻事件提取与新闻主题建模技术研究, 国家自然科学基金重点项目, 2015-01至2017-12
  2. Knowledge based news event extraction and topic modeling, 浙江大学教育部-微软重点实验室项目, 2015-01至2015-12
  3. “中国工程科技知识中心建设项目”子任务“关键技术研发”子课题“知识服务技术研究”, 中国工程院院士科技咨询项目, 2014-01至2014-12
  4. 跨媒体新闻主题检测与演化技术研究, 浙江省自然科学基金面上项目, 2014-01至2016-12
  5. 基础科研知识库关键技术研究, 中央高校基本科研业务费专项资金资助, 2014-01至2014-12
  6. 面向行业的动漫游戏公共服务系统及应用示范, 国家科技支撑计划子课题, 2013-01至2015-12
  7. “中国工程科技知识中心建设项目”子任务“关键技术研发”子课题“科技新闻领域知识库构建与可视方法研究”, 中国工程院院士科技咨询项目, 2013-01至2013-12
  8. 跨媒体结构化主题建模, 中央高校基本科研业务费专项资金资助, 2012-01至2013-12

 

  • 论文及专著:

 

  1. Fei Wu, Hanying Fang, Xi Li, Siliang Tang, Weiming Lu, Yi Yang, Wenwu Zhu and Yueting Zhuang. Aspect learning for multimedia summarization via non-parametric Bayesian. IEEE Transactions on Circuits and Systems for Video Technology. 2015, 99: 1-13 (CCF B, SCI)
  2. Fei Wu, Xinyang Jiang, Xi Li, Siliang Tang*, Weiming Lu, Zhongfei Zhang, Yueting Zhuang. Cross-Modal Learning to Rank via Latent Joint Representation. IEEE Transactions on Image Processing. 2015, 24.5: 1497-1509 (CCF A, SCI)
  3. Xu Tan, Fei Wu, Xi Li, Siliang Tang, Weiming Lu, Yueting Zhuang. Structured Visual Feature Learning for Classification via Supervised Probabilistic Tensor Factorization. IEEE Transactions on Multimedia. 2015, 17(5): 660-673 (CCF B, SCI)
  4. Siliang Tang, Lu Cheng, Jian Shao, Fei Wu, Weiming Lu. A survey on news text visualization via probabilistic topic modeling. Journal of Computer-Aided Design and Computer Graphics. 2015, 27(5): 771-782 (EI)
  5. Yueting Zhuang, Haidong Gao, Fei Wu, Siliang Tang*, Yin Zhang, and Zhongfei Zhang. Probabilistic Word Selection via Topic Modeling. IEEE Transactions on Knowledge & Data Engineering. 2015 (CCF A, SCI)
  6. Chen, Bin, Jueman Mandy Zhang, Zhenggang Jiang, Jian Shao, Tao Jiang, Zhengting Wang, Kui Liu, Siliang Tang, Hua Gu, and Jianmin Jiang. Media and public reactions toward vaccination during the ‘hepatitis B vaccine crisis’ in China. Vaccine. 2015, 33(15): 1780-1785 (SCI)
  7. Xinyang Jiang, Fei Wu, Yin Zhang, Siliang Tang*, Weiming Lu, Yueting Zhuang. The Classification of Multi-modal Data with Hidden Conditional Random Field. Pattern Recognition Letter. 2014, 51: 63-69 (SCI)
  8. Fei Wu, Zhou Yu, Yi Yang, Siliang Tang, Yin Zhang, Yueting Zhuang. Sparse Multi Modal Hashing. IEEE Transactions on Multimedia. 2014, 16(2): 427-439 (CCF B, SCI)
  9. Siliang Tang, Yin Zhang, Hanqi Wang, Ming Chen, Fei Wu, Yueting Zhang. The Discovery of Burst Topic and Its Intermittent Evolution in Our Real World. China Communications. 2013, 10(3): 1-2 (SCI)
  10. Yin Zhang, Siliang Tang*, Jiesi Luo, Weiming Lu, Jian Shao, Fei Wu. A geographic topic model with author relationship. Journal of Computer-Aided Design and Computer Graphics. 2012, 24(9): 1180-1187 (EI)
  11. Siliang Tang, Ronan G. Reilly, and Christian Vorstius. EyeMap: A software system for presenting and analyzing eye-movement data in reading. Behavior Research Methods. 2012, 44(2): 420-438 (SSCI)
  12. Haoling Dong, Siliang Tang*, Si Li, Fei Wu, Yueting Zhuang. HTMVS: Visualizing Hierarchical Topics and Their Evolution. IEEE VIS 2015. (CCF A, EI)
  13. Yueyang Wang, Yuanfang Xia, Siliang Tang, Fei Wu, Yueting Zhuang. Flickr Group Recommendation via Heterogeneous Information Networks. In Proceedings of the 7th International Conference on Internet Multimedia Computing and Service. 2015: 20 (EI)
  14. Xinyang Jiang, Fei Wu, Xi Li, Zhou Zhao, Weiming Lu, Siliang Tang, Yueting Zhuang. Deep Compositional Cross-modal Learning to Rank via Local-Global Alignment. In Proceedings of ACM International Conference on Multimedia. 2015: 69-78 (EI)
  15. Siliang Tang, Fei Wu, Si Li, Weiming Lu, Zhongfei Zhang, Yueting Zhuang. Sketch the Storyline with CHARCOAL: A Non-Parametric Approach. In Proceedings of the 20th International Joint Conferences on Artificial Intelligence. 2015: 3841-3848 (EI)
  16. Yueting Zhuang, Zhou Yu, Wei Wang, Fei Wu, Siliang Tang, Jian Shao. Cross-Media Hashing with Neural Networks. In Proceedings of the 2014 ACM International Conference on Multimedia. (CCF A, EI)
  17. Hanqi Wang, Fei Wu, Xi Li, Siliang Tang, Jian Shao, Yueting Zhuang. Jointly Discovering Fine-grained and Coarse-grained Sentiments via Topic Modeling. In Proceedings of the 2014 ACM International Conference on Multimedia. (CCF A, EI)
  18. Zhou Yu, Fei Wu, Siliang Tang, Yin Zhang, Jian Shao, Yueting Zhuang. Hashing with List-wise Learning to Rank. ACM SIGIR. 2014: 999-1002 (CCF A, EI)
  19. Zijian Li, Siliang Tang, Jian Shao, Weiming Lu, Yueting Zhuang. Geo-informative Discriminative Image Representation by Semi-supervised Hierarchical Topic Modeling. IEEE International Conference on Multimedia & Expo. 2014: 1-6 (SCI)
  20. Zhou Yu, Yin Zhang, Siliang Tang, Yi Yang, Qi Tian, Jiebo Luo. Cross-media Hashing with Kernel Regression. IEEE International Conference on Multimedia & Expo. 2014: 1-6 (EI)
  21. Lu, Xinyan, Fei Wu, Siliang Tang, Zhongfei Zhang, Xiaofei He, and Yueting Zhuang. A low rank structural large margin method for cross-modal ranking. ACM SIGIR. 2013: 433-442 (EI)
  22. Siliang Tang, Hanqi Wang, Jian Shao, Fei Wu, Ming Chen, and Yueting Zhuang. πLDA: document clustering with selective structural constraints. ACM Multimedia. 2013: 753-756 (CCF A, EI)
  23. Fei Wu, Xu Tan, Yi Yang, Dacheng Tao, Siliang Tang, and Yueting Zhuang. Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint. In Proceedings of the Twenty-Seventh Conference on Artificial Intelligence. 2013: 962-968 (CCF A, EI)
  24. Haidong Gao, Siliang Tang, Yin Zhang, Dapeng Jiang, Fei Wu, Yueting Zhuang. Supervised Cross-collection Topic Modeling. ACM Multimedia. 2012: 957-960 (CCF A, EI)
  25. Zhou Yu, Siliang Tang, Yin Zhang, Jian Shao. Image Ranking via Attribute Boosted Hypergraph. Pacific-Rim Conference on Multimedia. 2012: 779-789 (CCF C, EI)
  26. Xu Tan, Yin Zhang, Siliang Tang, Jian Shao, Fei Wu, Yueting Zhuang. Logistic Tensor Regression for Classification. Intelligence Science and Intelligent Data Engineering. 2012: 573-581 (EI)

 

  • 发明专利:

 

  1. 基于隐结构学习的图像摘要生成方法,授权日期:8.30,ZL201310410623.1
  2. 一种基于选择单元的主题建模方法, 授权日期:8.31,ZL201310410816.7
  3. 一种可直接度量不同模态数据间相似性的跨模态检索方法,授权日期:9.28,ZL201310410553.X
  4. 一种基于卷积神经网络和长短期记忆人工神经网络的命名实体标注方法,发明专利,中国,11.11,ZL 201610959519.1
  5. 一种融合提及实体信息的文档向量学习方法,发明专利,中国,11.04,ZL 201610956758.1
  6. 一种基于卷积神经网络的属性抽取方法,发明专利,中国,11.04,ZL 201610968810.5
  7. 一种结合稀疏编码和结构感知机的文本事件抽取方法,发明专利,中国,11.04,ZL 201610955220.9
  8. 一种基于混合距离依赖中餐馆过程的层次化主题建模方法,发明专利,中国,11.28,ZL 201410706246.0
  9. 一种基于地理信息的层次化视觉特征提取方法,发明专利,中国,11.28,ZL 201410706281.2
  10. 一种基于耦合鉴别性字典的跨媒体哈希索引方法,发明专利,中国,10.10,ZL 201410532084.3
  11. 一种基于神经网络的跨媒体哈希索引方法,发明专利,中国,10.10,ZL 201410531086.0
  12. 一种基于主题建模的多粒度情感分析方法,发明专利,中国,10.10,ZL 201410532044.9
  13. 一种基于深度神经网络的跨媒体排序方法,发明专利,中国,10.10,ZL 201410531101.1
  14. 基于最大间隔张量学习的高维多媒体数据分类方法,发明专利,中国,09.10,ZL 201310410604.9
  15. 一种基于隐空间学习和双向排序学习的跨媒体排序方法,发明专利,中国,09.10,ZL 201310410565.2
  16. 一种基于跨模态稀疏主题建模的跨媒体检索方法,发明专利,中国,09.10,ZL 201310410634.X