• Seong Jae Hwang, Ronak Mehta, Hyunwoo J Kim, Vikas Singh, Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families, Arxiv, 2018.

• Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan and Vikas Singh, Localizing differentially evolving covariance structures via scan statistics , Quarterly of Applied Mathematics, 2018.

• Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, and Vikas Singh, Efficient Relative Attribute Learning using Graph Neural Networks, European Conference on Computer Vision (ECCV), 2018.

• Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh, Tensorize, Factorize and Regularize: Robust Visual Relationship Learning, Computer Vision and Pattern Recognition (CVPR), 2018.

• Ronak Mehta, Hyunwoo J. Kim , Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective, Arxiv, Nov 2017.

• Hyunwoo J. Kim Statistical Learning Models for Manifold-valued Measurements with Applications to Computer Vision and Neuroimaging, PhD Thesis, University of Wisconsin-Madison, 2017.

• Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim , Johannes Fürnkranz, Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification, In Advances in Neural Information Processing Systems (NIPS), Dec 2017, (Spotlight presentation).

• Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh, Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging, In Computer Vision and Pattern Recognition (CVPR), Jul 2017.

• Ligang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh, Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-valued Data, In The international Workshop on DIFFerential geometry in Computer Vision and Machine Learning (DIFF-CVML) at CVPR (CVPRW), Jul 2017 (Oral presentation (slide)).

• Hoon Heo, Hyunwoo J. Kim, Wan Soo Kim, Kyogu Lee, Cover Song Identification with Metric Learning Using Distance as a Feature, In The International Society of Music Information Retrieval (ISMIR), 2017.

• Hyunwoo J. Kim*, Brandon M. Smith*, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh, Abundant Inverse Regression using Sufficient Reduction and its Applications, In European Conference on Computer Vision (ECCV), Oct 2016. Both * are joint first authors.

• Won Hwa Kim*, Hyunwoo J. Kim*, Nagesh Adluru, Vikas Singh, Latent Variable Graphical Model Selection using Harmonic Analysis: Applications to the Human Connectome Project (HCP), In Computer Vision and Pattern Recognition (CVPR), Jun, 2016. (Spotlight presentation). Both * are joint first authors.

• Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh, Interpolation on the manifold of k component Gaussian Mixture Models (GMMs), In International Conference on Computer Vision (ICCV), Dec 2015.

• Hyunwoo J. Kim, Jia Xu, Baba C. Vemuri, Vikas Singh, Manifold-valued Dirichlet Processes, In International Conference on Machine Learning (ICML), Jul 2015.

• Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh, Canonical Correlation Analysis on SPD(n) Manifolds , Riemannian Computing and Statistical Inferences in Computer Vision (RCCV), 2015 (Book chapter).

• Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim , and Johannes Fürnkranz, Predicting Unseen Labels using Label Hierarchies in Large-Scale Multi-label Learning, In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Sep 2015.

• Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh, Canonical Correlation Analysis on Riemannian Manifolds and its Applications, In European Conference on Computer Vision (ECCV), Sep 2014.

• Hyunwoo J. Kim, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Barbara B. Bendlin, Sterling C. Johnson, Richard J. Davidson, Vikas Singh, Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images, In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2014. (Oral presentation)

Before 2014