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Guo-Jun Qi

齐 国 君

Beckman Institute

University of Illinois at Urbana-Champaign

More information can be found at my personal homepage

http://sites.google.com/site/guojunq

Email: qi4 AT illinois.com

Personal: guojunq AT gmail.com

 

I receive my Ph.D. from University of Illinois at Urbana-Champaign.  I have wide range of research interests in extreme data exploratory and analytics, including processing and analyzing large-scale data, information and knowledge.  Specifically, my current research interests lie on building highly reliable information systems, with the help of collective data and knowledge from crowdsourcing, multi-source sensing and social media to solve complex computing tasks in real world. In short words, I am interested in social sensing, which studies the social phenomena from the sensing point of view.

I was the recipient of Microsoft Fellowship, and twice IBM Fellowship. My researches have appeared in a wide range of venues, such as Proceedings of IEEE, IEEE T PAMI, IEEE T KDE, WWW, ICML, CVPR, ACM MM, ICDM, SDM and ICDE.  Among them include the best paper of ACM Multimedia 2007, as well as the paper in the issue of IEEE T KDE for the best ICDE 2013 papers. These researches have been supported by a lot of external government and industry sponsors, including NSF, ARL, ONR, HP, Microsoft, and IBM.

 

[ Google Scholar | DBLP ]


Selected Publications
[ Full Publication List ]

Ph.D. Dissertation

Guo-Jun Qi. Information Trust, Inference and Transfer in Social and Information Networks, University of Illinois at Urbana-Champaign, 2013.

Refereed Journal papers

Guo-Jun Qi, Charu Aggarwal, and Thomas Huang. Breaking the Barrier to Transferring Link Information across Networks, invited submission to the issue of the best ICDE 2013 papers, IEEE Transactions on Knowledge and Data Engineering.  [keyword: social network analytics | link analysis | transfer learning]

Guo-Jun Qi, Min-Hsuan Tsai, Shen-Fu Tsai, Liangliang Cao, Thomas Huang. Web-Scale Multimedia Information Networks, in Proceedings of the IEEE (P IEEE), Volume 100, Issue 9, 2012. [keyword: cyber networks | information networks]

Guo-Jun Qi, Charu Aggarwal, Qi Tian, Ji Heng, Thomas Huang. Exploring Context and Content Links in Social Media: A Latent Space Method, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2011. [keyword: cyber networks | collaborative signal processing and low-rank analysis]

Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang. Image Classification with Kernelized Spatial-Context, in IEEE Transactions on Multimedia (T-MM), Issue 4, Volume 12, page 278 - 287, June 2010. [ pdf ] [keyword: multimedia signal processing | appearance and spatial model]

Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang. Two-Dimensional Multi-Label Active Learning with An Efficient Online Adaptation Model for Image Classification, in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI),vol.31,no.10, 2009.[ pdf ] [ code ] [keyword: multimedia signal processing | large-scale online computing model]

Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Tao Mei, Meng Wang and Hong-Jiang Zhang. Correlative Multi-Label Video Annotation with Temporal Kernels, in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Vol. 5, No. 1, 2008. [ pdf ] [keyword: statistical methods | kernel and maximum margin methods]

Refereed Conference papers

Guo-Jun Qi, Charu Aggarwal, Jiawei Han, Thomas Huang. Mining Collective Intelligence in Diverse Groups, to appear in Proc. of International World Wide Web conference (WWW 2013), Rio de Janeiro, Brazil, May 13th-17th, 2013. [ pdf ] (Full Research Paper) [keyword: cyber networks | collaborative trustworthy sensing, statistical methods | probabilistic graphical model]New 

Guo-Jun Qi, Charu Aggarwal, Thomas Huang. Link Prediction across Networks by Biased Cross-Network Sampling, to appear in International Conference on Data Engineering, Brisbane, Australia, April 8-11, 2013. [ pdf ] (Full Paper) [keyword: cyber networks | network sampling and link prediction]

Guo-Jun Qi, Charu Aggarwal, Thomas Huang. Online Community Detection in Social Sensing, in ACM International Conference on Web Search and Data Mining (WSDM 2013), Rome, Italy, February 4-8, 2013. [ pdf ] [keyword: cyber networks | network dynamics and evolution, statistical methods| dynamic random fields]

Guo-Jun Qi, Charu Aggarwal, Thomas Huang. Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces, in SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012. (Full Paper) [keyword: multimedia signal processing | image analysis]

Guo-Jun Qi, Charu Aggarwal, Thomas Huang. On Clustering Heterogeneous Social Media Objects with Outlier Links, in the fifth ACM International Conference on Web Search and Data Mining, Seattle, Washington, February 8-12. [keyword: cyber networks | structure analysis]

Guo-Jun Qi, Charu Aggarwal, Thomas Huang. Community Detection with Edge Content in Social Media Networks, in Proc. of IEEE International Conference on Data Engineering (ICDE 2012), Washington D.C., USA, April 1-5, 2012. (Full Paper) [keyword: cyber networks | structure analysis]

Guo-Jun Qi, Charu Aggarwal and Thomas Huang, Towards Semantic Knowledge Propagation from Text Corpus to Web Images, in Proc. of International World Wide Web conference (WWW 2011), Hyderabad, India, March 28-April 1, 2011.(Full Regular Paper) [ pdf ] [ code ] [keyword: multimedia signal processing | image analysis, statistical methods | kernel and maximum margin method]

Guo-Jun Qi, Charu Aggarwal, Yong Rui, Qi Tian, Shiyu Chang and Thomas Huang. Towards Cross-Category Knowledge Propagation for Learning Visual Concepts, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, Colorado, June 21-23, 2011.(Oral) [ pdf ] [ code ] [keyword: multimedia signal processing | computer vision, statistical methods | kernel method]

Guo-Jun Qi, Qi Tian, Thomas Huang. Locality-Sensitive Support Vector Machine by Exploring Local Correlation and Global Regularization, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, Colorado, June 21-23, 2011. [ pdf ] [ code ] [keyword: multimedia signal processing | computer vision, statistical methods | kernel method]

Guo-Jun Qi, Jinhui Tang, Zheng-Jun Zha, Tat-Seng Chua, Hong-Jiang Zhang, An Efficient Sparse Metric Learning in High-Dimensional Space via $\ell_1$-Penalized Log-Determinant Regularization, in Proc. of International Conference on Machine Learning (ICML 2009), Montreal, Quebec, June 14-18, 2009.[ pdf ] [keyword : statistical methods | compressed sensing and sparse method]

Guo-Jun Qi, Xian-Sheng Hua, Hong-Jiang Zhang. Learning Semantic Distance from Community-Tagged Media Collection, in Proc. of International ACM Conference on Multimedia (ACM MM 2009), Beijing, China, October 19-24, 2009.(Full Paper, Oral Presentation) [ pdf ] [keyword: multimedia signal processing | image analysis]

Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang. Two Dimensional Active Learning for Image Classification, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, Alaska, June 24-26, 2008. [ pdf ] [keyword: multimedia signal processing | computer vision, statistical methods | active learning]

Xian-Sheng Hua, Guo-Jun Qi.Online Multi-Label Active Annotation: Towards Large-Scale Content-Based Video Search, in International ACM Conference on Multimedia 2008 (ACM MM 2008), Vancouver, Canada, October 27 - November 1, 2008. (Full Paper, Oral Presentation) [keyword: multimedia signal processing | large-scale online computing model]

Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Zheng-Jun Zha, Hong-Jiang Zhang. A Joint Appearance-Spatial Distance for Kernel-Based Image Categorization,in IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, Alaska, June 24-26, 2008. [ pdf ] [keyword: multimedia signal processing | computer vision, appearance and spatial model]

Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Tao Mei, Hong-Jiang Zhang.Correlative Multi-Label Video Annotation, in ACM Multimedia 2007 (ACM MM 2007), Augsburg, Germany, Sep. 23-29, 2007. (Full Paper, Oral Presentation). Best Paper Award [ pdf ] [keyword: multimedia signal processing | video analysis, statistical methods | kernel method]

Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jinhui Tang, Hong-Jiang Zhang. Concurrent Multiple Instance Learning for Image Categorization, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007), Minneapolis, Minnesota, June, 2007. [ pdf ] [keyword: multimedia signal processing|computer vision, statistical methods|kernel method]

Copyright Notice: The documents on this page have been published by scholarly journals or conferences for the purpose of non-commercial dissemination of scientific work. These manuscripts are copyrighted by the authors and/or the journals/conferences in which they are published. You may copy a manuscript for scholarly, non-commercial purposes, provided that you agree with these terms.

 

Professional Services

Program Committee Member for:

1.    International Conference on Machine Learning and Applications (ICMLA 2012).

2.    Annual Meeting of the Association for Computational Linguistics (ACL 2013, ACL 2014)

3.    International Conference on Multimedia Modeling (MMM 2009, MMM 2011, MMM 2013).

4.    ACM International Conference on Image and Video Retrieval (CIVR 2010).

5.    The IADIS Visual Communication 2009 Conference.

Reviewer for:

1.    2010 International Conference on Image Processing (ICIP), Hong Kong, September 2010.

2.    IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), from 2010.

3.    IEEE Trans. on Knowledge and Data Engineering (T-KDE), from 2009.

4.    IEEE Trans. On Circuits and Systems for Video Technology (T-CSVT), from 2007.

5.    IEEE Trans. On Image Processing (T-IP), from 2008.

6.    Pattern Recognition, Special Issue on Learning Semantics, 2008.

7.    IEEE International Conference on Multimedia & Expo (ICME),Bejing,China,July, 2007.

8.    ACM Multimedia 2007,Augsburg,Germany,September,2007

9.    International MultiMedia Modeling Conference, Kyoto, Japan, January, 2008.

10. Neurocomputing, from 2007.

11. IEEE International Conference on Multimedia & Expo (ICME), Hannover, Germany, 2008.

12.    ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Las Vegas, 2008.

 

 

Research Interests

Machine Learning, Pattern Recognition and Big Data Analytics

o    Probabilistic learning and inference, latent variable models

o    Kernel and maximum margin methods

o    Efficient approximate inference and estimation algorithms; online learning algorithms

Cyber Networks (Sensor, Information and Social Networks)

o    Multiple source sensing; trustworthy source discovery

o    Social media analytics

o    Network dynamics and evolution

o    Modeling and analysis of heterogeneous networks

Multimedia Signal Processing and Computer Vision

o    Visual understanding and analysis

o    Object recognition and natural scene categorization

o    Web-scale multimedia data management, indexing and retrieval

 

Awards and Honors

2011,2012 IBM Fellowship, IBM

2009 Zhu Li Yue Hua Scholarship,  Chinese Academy of Science

2007 Best Paper Award, The 15th ACM International Conference on Multimedia (ACM SIGMM)

2007 Best Research Intern, Microsoft Research Asia

2007 Microsoft Fellowship, Microsoft

2005 Guo Moruo Scholarship, USTC (Top Scholarship in USTC)

2005 Outstanding Graduate Scholarship, Anhui Province, China

2004 Hua Wei Scholarship, USTC

 

Software

Online Multi-Label Learning Toolkit

 

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Updated by Guo-Jun Qi on November 3, 2012