Thomas S. Huang
Feature Learning by Large-Scale Heterogeneous Networks with Application to Face Verification
(joi)May 2013 - May 2014
2016
Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, and Thomas S. Huang (2016): Large-scale supervised similarity learning in networks, Knowledge and Information Systems, Springer Nature Switzerland AG, Vol 48, Num 3, pp707-740
Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, and Thomas S. Huang (2016): l(0)-Sparse Subspace Clustering, Springer Nature Switzerland AG, Lecture Notes in Computer Science: Computer Vision - European Conference on Computer Vision (ECCV) 2016, pp731-747, Amsterdam, The Netherlands
2015
Xianming Liu, Rongrong Ji, Changhu Wang, Wei Liu, Bineng Zhong, and Thomas S. Huang (2015): Understanding image structure via hierarchical shape parsing, Institute of Electrical & Electronics Engineers, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp5042-5050, Boston, Massachusetts, U.S.A.
Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, and Thomas S. Huang (2015): Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks, Institute of Electrical & Electronics Engineers, 2015 IEEE International Conference on Computer Vision (ICCV), pp2956-2964, Santiago, Chile
2014
Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, and Thomas S. Huang (2014): On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification, MIT Press, Proceedings of the 27th International Conference on Neural Information Processing Systems (NIPS '14), Vol 1, pp145-153, Montreal, Canada
22 Illinois projects receive time on Blue Waters
Jun 11, 2013
The University of Illinois at Urbana-Champaign has awarded access to the Blue Waters supercomputer—which is capable of performing quadrillions of calculations every second and of working with quadrillions of bytes of data—to 22 campus research teams from a wide range of disciplines. The computing and data capabilities of Blue Waters, which is operated by the National Center for Supercomputing Applications (NCSA), will assist researchers in their work on understanding DNA, developing biofuels, simulating climate, and more.
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