SELECTED PUBLICATIONS

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

Jun Ye, Hao Hu, Guo-Jun Qi*, Kien Hua. A Temporal Order Modeling Approach to Human Action Recognition from Multimodal Sensor Data, to appear in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 13 Issue 2, Article No. 14, May 2017. [pdf]

Kai Li, Guo-Jun Qi*, Jun Ye, Kien Hua. Linear Subspace Ranking Hashing for Cross-modal Retrieval, to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), September 2016. [pdf] [code]

Guo-Jun Qi, Wei Liu, Charu Aggarwal, and Thomas Huang. Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes, to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), June 2016. [pdf]

Jinhui Tang, Xiangbo Shu, Guo-Jun Qi, Zechao Li, Meng Wang, Shuicheng Yan, and Ramesh Jain. Tri-clustered Tensor Completion for Social-Aware Tag Refinement, to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), September 2016.

Guo-Jun Qi, Charu Aggarwal, and Thomas Huang. Breaking the Barrier to Transferring Link Information across Networks,  "the issue of the best ICDE 2013 papers" in IEEE Transactions on Knowledge and Data Engineering (T-KDE), Volume 27, Issue 7, pp. 1741 - 1753, July 2015.

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.

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), Volume 34, Issue 5, May 2012.

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]

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]

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]

Refereed Conference papers

Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang. Interleaved Group Convolutions for Deep Neural Networks, in Proceedings of International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 22-29, 2017. [pdf]

Hao Hu, Guo-Jun Qi*. State-Frequency Memory Recurrent Neural Networks, in Proceedings of International Conference on Machine Learning (ICML 2017), Sydney, Australia, August 6-11, 2017. [pdf]

Guo-Jun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo. Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting, in Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, Nova Scotia, Canada, August 13-17, 2017. [pdf]

Liheng Zhang, Charu Aggarwal, Guo-Jun Qi*, Stock Price Prediction via Discovering Multi-Frequency Trading Patterns, in Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), Halifax, Nova Scotia, Canada, August 13-17, 2017. [pdf]

Guo-Jun Qi. Hierarchically Gated Deep Networks for Semantic Segmentation, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, Nevada, USA, June 26-July 1, 2016. (Oral Presentation, 3.9% acceptance rate) [pdf]

Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang and Jingdong Wang. Supervised Quantization for Similarity Search, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, Nevada, USA, June 26-July 1, 2016. [pdf]

Hao Hu, Joey  Velez-Ginorio, Guo-Jun Qi* . Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detection, in Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), San Francisco, USA, August 13-17, 2016. [pdf]

Vivek Veeriah, Naifan Zhuang, and Guo-Jun Qi* . Differential Recurrent Neural Networks for Action Recognition, in Proceedings of International Conference on Computer Vision (ICCV 2015), Santiago, Chile, December 13-16, 2015. [pdf]

Guo-Jun Qi, Charu Aggarwal, Deepak Turaga, Daby Sow and Phil Anno, State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness, in Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia, August 10-13, 2015. [pdf]    

Vivek Veeriah, Rohit Durvasula, and Guo-Jun Qi*. Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction, in Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia, August 10-13, 2015. [pdf]     

Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu Aggarwal, and Thomas Huang. Heterogeneous Network Embedding via Deep Architectures, in Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia, August 10-13, 2015. [pdf]

Xiangbo Shu, Guo-Jun Qi, Jinhui Tang, Jingdong Wang. Weekly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation, in Proceedings of ACM International Conference on Multimedia (MM 2015), Brisbane, Australia, 26-30 Oct 2015. (Full Research Paper) [pdf]

Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang. Sparse Composite Quantization, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Boston, MA, June 7-12, 2015. [pdf]

Jun Ye, Kai Li, Guo-Jun Qi, Kien Hua. Temporal-Order Preserving Dynamic Quantization for Human Action Recognition from Multimodal Sensor Streams (ICMR 2015), Shanghai, China, June 23-26, 2015 (full paper). [pdf] (On UTKinect-Action dataset, our best approach has achived 100% accuracy)

Shiyu Chang, Guo-Jun Qi, Charu Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang. Factorized Similarity Learning in Networks, in Proc. Of IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China, 2014. [pdf] (Best Student Paper)

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)

Guo-Jun Qi, Charu Aggarwal, Thomas Huang. Link Prediction across Networks by Biased Cross-Network Sampling, in International Conference on Data Engineering (ICDE 2013), Brisbane, Australia, April 8-11, 2013. [pdf] (Full Paper) ("Best ICDM 2013 Paper" by IEEE Transactions on Knowledge and Data Engineering)

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]

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 (SDM 2012), Anaheim, California, USA, April 26-28, 2012. (Full Paper)

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 (WSDM 2012), Seattle, Washington, February 8-12, 2012.

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)

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]

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]

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]

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]

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]

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]

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)

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]

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]

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]

The students I advised when preparing the papers. 
* Corresponding author.

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Last updated 12/17/14