Publication

  • Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. [pdf]
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), to appear.
  • Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
  • Fudan-Columbia Video Dataset (FCVID), one of the largest public Web video datasets with manual annotations, available at http://bigvid.fudan.edu.cn/FCVID [project page].
  • Deep Learning for Video Classification and Video Captioning. [pdf]
  • arXiv preprint arXiv:1609.06782, invited survey, to appear.
  • Zuxuan Wu, Ting Yao, Yanwei Fu, Yu-Gang Jiang
  • Surveying 100+ recent literatures on video classification and captioning with deep learning.
  • Harnessing Object and Scene Semantics for Large-Scale Video Understanding. [pdf]
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, June, 2016. (Spotlight)
  • Zuxuan Wu, Yanwei Fu, Yu-Gang Jiang, Leonid Sigal
  • Featured in Tech2, ACM Technews
  • Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification. [pdf]
  • ACM Multimedia (ACM MM), Amsterdam, the Netherlands, Oct., 2016. (Oral Paper)
  • Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue
  • Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification. [pdf]
  • ACM Multimedia (ACM MM), Brisbane, Australia, Oct., 2015. (Oral Paper)
  • Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue
  • Obtain 91.3% accuracy on the UCF-101 dataset.
  • Evaluating Two-Stream CNN for Video Classification. [pdf][motion CNN model]
  • ACM International Conference on Multimedia Retrieval (ICMR), Shanghai, China, June, 2015
  • Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue
  • Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification. [pdf]
  • ACM Multimedia (ACM MM), Orlando, USA, Nov., 2014. (Oral Paper)
  • Zuxuan Wu, Yu-Gang Jiang, Jun Wang, Jian Pu, Xiangyang Xue

Competitions

  • Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning.
  • MediaEval 2015 Workshop, Wurzen, Germany, Sept. 2015. [pdf]
  • Qi Dai, Rui-Wei Zhao, Zuxuan Wu, Xi Wang, Zichen Gu, Wenhai Wu, Yu-Gang Jiang
  • Top Performance
  • Challenge Huawei Challenge: Fusing Multimodal Features with Deep Neural Networks for Mobile Video Annotation.
  • IEEE Conference on Multimedia and Expo (ICME), Chengdu, China, July, 2014 (Grand Challenge Session)
  • Jian Tu, Zuxuan Wu, Qi Dai, Yu-Gang Jiang, Xiangyang Xue
  • Top Accuracy Award
  • Fudan-NJUST at MediaEval 2014: Violent Scenes Detecting Using Deep Neural Networks. [pdf]
  • MediaEval 2014 Workshop, Barcelona, Spain, Oct, 2014
  • Qi Dai, Zuxuan Wu, Yu-Gang Jiang, Xiangyang Xue, Jinhui Tang
  • Top Performance

Honors

2015.10National Graduate Scholarship of China
2015.08Google Excellent Student Award
2015.07ACM Student Travel Grant
2014.10National Graduate Scholarship of China
2014.08ACM Student Travel Grant
2013.06Shanghai Outstanding Graduates
2012.12Shanghai Scholarship
2012.11Outstanding Student Leader in East China Normal University
2011.12Special Scholarship of East China Normal University

Teaching Assistants

Fudan Intensive Summer Teaching 2015, Foundations and Trends in Visual Media Computing.
COMP130064.01, Elementary Number Theory
Fudan Intensive Summer Teaching 2014, Foundations and Trends in Big Media Data Analytics.
COMP110032/110033, Multimedia Applications.