Yang's research group wiki

A reading group to discuss recent or classical papers on transfer learning methodology and other interesting theory topics.

Time: Monday 4-5pm

端午节 Schedule change (week 5/29-6/2): Wednesday 4:30-5:30pm

• Presenter: Yajie
• Paper 1 (main): Feng Liu, Guanquan Zhang, Haiyan Lu, Jie Lu, Heterogeneous Unsupervised Cross-domain Transfer Learning.
• Paper 2: Ye, Ke, and Lekheng Lim. Schubert varieties and distances between subspaces of different dimensions. SIAM Journal on Matrix Analysis and Applications 37.3 (2014): 1176-1197.

• Presenter: Yang
• Paper 1 (main): R.R. Lederman, R Talmon, Learning the geometry of common latent variables using alternating-diffusion , Appl. Comput. Harmon. Anal. (2015)
• Paper 2: O. Katz, R. Talmon, Y.-L. Lo, H.-T. Wu, Diffusion-based nonlinear filtering for multimodal data fusion with application to sleep stage assessment

• Presenter: Yajie
• Paper 1 (main): Nguyen, Hien V., et al, DASH-N: Joint hierarchical domain adaptation and feature learning , IEEE Transactions on Image Processing 24.12 (2015): 5479-5491.
• Paper 2: Lin, Liang, et al， Cross-domain visual matching via generalized similarity measure and feature learning , IEEE transactions on pattern analysis and machine intelligence (2016).

• Presenter: Yajie
• Paper 1 (main): Makur A, Kozynski F, Huang S L, et al. An efficient algorithm for information decomposition and extraction
• Paper 2: Huang S L, Zheng L. Linear information coupling problems

• Add a paper that you want us to discuss in the future

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