Faculty Profile
 
  YU Nenghai
     
Department: Department of Electronic Engineering & Information Science
Mailing Address:
ynh@ustc.edu.cn
Postal Code:
230027
Phone:
+86-551-63600681
Fax:
86-551-63600681
Homepage:
http://eeis.ustc.edu.cn/szdw/bd/ynh/201008/t20100825_32038.html
 
       

Research Profile

	  
      under construction ......
      
 
     
Selected Publications
1) A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability , IEEE Trans.on Knowledge and Data Engineering(TKDE) , 201103 ,
2) Learning Bregman Distance Functions for Semi-Supervised Clustering , IEEE Trans.on Knowledge and Data Engineering(TKDE) , 2010 ,
3) Semantics-Preserving Bag-of-Words Models and Applications , IEEE Transactions on Image Processing(TIP) , 2010 ,
4) Generalization and Analysis of the Paper Folding Method for Steganography , IEEE Trans.on Information Forensics and Security , 2010 ,
5) Scale Invariant Visual Language Modeling for Object Categorization , IEEE Transactions on Multimedia(TMM) , 2008 ,
6) Latent Topic Visual Language Model for Object Categorization , SIGMAP'2011 , 2011 ,
7) Multiple-Instance Ranking: Learning to Rank Images for Image Retrieval , CVPR 2008 , 2008 ,
8) Capacity-Approaching Codes for Reversible Data Hiding , 13th Information Hiding Conference(IH'2011) , 2011 ,
9) BioSnowball: automated population of Wikis , 16th ACM SIGKDD(KDD'2010) , 2010 ,
10) Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering , NIPS’09 , 2009 ,
11) Flickr Distance , ACM Multimedia(MM’08 Best Paper Candidate) , 2008 ,
12) Learning to Tag , 18th Intl. Conference on World Wide Web (WWW’09) , 2009 ,
13) iLike: itegrating visual and textual features for vertical search , ACM Multimeida (MM’10) , 2010 ,
14) Photo2Trip: An Interactive Trip Planning System Based on Geo-Tagged Photos , ACM Multimedia (MM’10) , 2010 ,
15) Distance metric learning from uncertain side information for automated photo tagging , ACM TIST 2(2) , 2011 ,
16) Distance Metric Learning from Uncertain Side Information with Application to Automated Photo Tagging , ACM International Conference on Multimedia (MM’09) , 2009 ,
17) A Comprehensive Human Computation Framework-with Application to Image Labeling , ACM Multimedia (MM’08) , 2008 ,
18) Multi-Progressive Model for Web Image Annotation , ACM Multimedia (MM’08) , 2008 ,
19) Bipartite Graph Reinforcement Model for Web Image Annotation , ACM Multimedia (MM’07) , 2007 ,
20) A Robust Part-based Tracker , IEEE International Conference on Multimedia & Expo , 2010 ,
21) Tagrank - Measuring tag importance for image annotation , IEEE International Conference on Multimedia & Expo , 2008 ,
22) SocialRank: A Ranking Model For Web Image Retrieval In Web 2.0 , IEEE International Conference on Multimedia & Expo , 2008 ,
23) Efficient near-duplicate image detection by learning from examples , IEEE International Conference on Multimedia & Expo , 2008 ,
24) Semantics-Preserving Bag-of-Words Models for Efficient Image Annotation , LS-MMRM’09 , 2009 ,
25) On Cross Language Image Annotation , IEEE International Conference on Multimedia & Expo , 2009 ,
26) Query Oriented Subspace Shifting for Near-duplicate Image Detection , IEEE International Conference on Multimedia & Expo , 2008 ,
27) Image Search Result Clustering and Re- Ranking via Partial Grouping , ICME 2008 , 2008 ,
28) Volume Graph Model For 3D Facial Surface Extraction , IEEE International Conference on Multimedia & Expo , 2007 ,
29) On Detection of Advertising Images , IEEE International Conference on Multimedia & Expo , 2007 ,
30) Image Annotation in a Progressive Way , IEEE International Conference on Multimedia & Expo , 2007 ,
31) Image Search Result Clustering and Re-Ranking via Partial Grouping , IEEE International Conference on Multimedia & Expo , 2007 ,
32) A Search-Based Web Image Annotation Method , IEEE International Conference on Multimedia & Expo , 2007 ,
 
Recruitment information
1.Development strategy
     Focus on student education, always aim at international technology developing frontiers, always centre on important national technology developing demands, always concern about the majority of teachers and students' benefits. 

2.Scientific research requiremnets
     "Hardware" facilities: spacious laboratory environment, sufficient experimental facilities(PCs, servers, printers etc.).  
     "Software" conditions: excellent research team, deep cooperative foundation with well-known research organizations of university both at home and abroad, well learning and exchange platform for students.

3.Enrollment requirements  
     Excellent students(good in study, expression, labour, art and attitude): solid basis in math, good expressing and practical ability, good at english and teamwork. 

4.Treatment  
     Allowance provided according to national and university policy and extra laboratory research grants due to students' research situations.