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Huayan Wang

I'm a Ph.D. student in Computer Science Department, Stanford University working with Prof. Daphne Koller since 2009.

Currently, I am cooperating with Dr. Michael Stark under the MPC-VCC project. [ link ]

Contact: huayanw at cs dot stanford dot edu

Gates 126, 353 Serra Street, Stanford, CA 94305, U.S.A.



Publications

Huayan Wang and Daphne Koller: A Fast and Exact Energy Minimization Algorithm for Cycle MRFs, The 30th International Conference on Machine Learning (ICML 2013) [PDF] [Code]

Huayan Wang and Daphne Koller: Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing, The 30th International Conference on Machine Learning (ICML 2013) [PDF] [Long version with proofs]

Andrew Chou, Huayan Wang, Michael Stark, and Daphne Koller: Modeling Instance Appearance for Recognition - Can We Do Better Than EM? CVPR-SPTLI (workshop) 2013 [LINK]

Huayan Wang, Stephen Gould, and Daphne Koller: Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding, Communications of the ACM, Research Highlights, April 2013 [LINK]

Huayan Wang and Daphne Koller: Multi-Level Inference by Relaxed Dual Decomposition for Human Pose Segmentation, Computer Vision and Pattern Recognition (CVPR 2011) [PDF]

Huayan Wang and Qiang Yang: Transfer Learning by Structural Analogy, The Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011) [PDF]

Huayan Wang, Stephen Gould, and Daphne Koller: Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding, The 11th European Conference on Computer Vision (ECCV 2010, Oral presentation) [PDF]

Yi Liu, Xu-Lei Wang, Hua-Yan Wang, Hongbin Zha, Hong Qin: Learning Robust Similarity Measures for 3D Partial Shape Retrieval, International Journal of Computer Vision , Volume 89, Numbers 2-3, (IJCV 2010). [LINK]

Hua-Yan Wang, Vincent W. Zheng, Junhui Zhao and Qiang Yang: Indoor Localization in Multi-Floor Environments with Reduced Effort, The 8th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2010) [PDF]

Hua-Yan Wang, Qiang Yang, Hongbin Zha: Adaptive p-Posterior Mixture-Model Kernels for Multiple Instance Learning, The 25th International Conference on Machine Learning (ICML 2008) [PDF]

Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha: Dirichlet Component Analysis: Feature Extraction for Compositional Data, The 25th International Conference on Machine Learning (ICML 2008) [PDF]

Hua-Yan Wang, Hongbin Zha, Hong Qin: Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data, The 24th International Conference on Machine Learning (ICML 2007) [PDF]



Teaching

Winter Qtr 2011: TA for Prof. Daphne Koller 's course CS228: Probabilistic Graphical Models: Principles and Techniques.

Winter Qtr 2010: TA for Prof. Li Fei-Fei's course CS223B: Introduction to Computer Vision .



Prior to coming to Stanford

Research Assistant, Hong Kong University of Science and Technology (HKUST), 2007~2009. Supervisor: Prof. Qiang Yang

M.E. in Signal and Information Processing, Peking University, 2005~2008, Advisor: Prof. Hongbin Zha

B.S. in Mathematics, Peking University, 2001~2005



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Last modified Jun 10 2013