Publications

Journals:

  1. Tianyi Zhou, Dacheng Tao and Xindong Wu, “Manifold Elastic Net: a unified framework for sparse dimension reduction“, Data Mining and Knowledge Discovery (Springer) (DMKD), 2010. (full paper) PDF CODE
  2. Tianyi Zhou and Dacheng Tao, “Hamming Compressed Sensing“, arxiv:1110.0073, 2011. PDF WEBPAGE
  3. Tianyi Zhou, Dacheng Tao and Xindong Wu, “Compressed Labeling on Distilled Labelsets for Multi-label Learning”, Machine Learning (Springer), accepted, 2011. PDF CODE
  4. Tianyi Zhou and Dacheng Tao, “Bilateral Random Projections”, arxiv: 1112.5215, 2011. PDF
  5. Tianyi Zhou and Dacheng Tao, “Double Shrinking for Sparse Dimension Reduction”, IEEE Transactions on Image Processing (T-IP), accepted, 2012. PDF

Conferences:

  1. Tianyi Zhou and Dacheng Tao, “Fast gradient clustering“, Twenty-Third Annual Conference on Neural Information Processing Systems (NIPS), workshop on Discrete Optimization in Machine Learning, Vancouver, Canada, 2009. PDF CODE
  2. Tianyi Zhou and Dacheng Tao, “Manifold elastic net for sparse learning“, IEEE International conference on Systems, Man and Cybernetics (SMC), pp. 3699-3704, San Antonio, Texas, USA, 2009. PDF CODE
  3. Tianyi Zhou, Dacheng Tao and Xindong Wu, “NESVM: a Fast Gradient Method for Support Vector Machines“, IEEE International Conference on Data Mining (ICDM), 2010. PDF CODE
  4. Tianyi Zhou and Dacheng Tao, “Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization“, International Conference on Neural Information Processing (ICONIP),2010. PDF
  5. Tianyi Zhou and Dacheng Tao, “Multi-label Learning via Structured Decomposition and Group Sparsity“, arxiv:1103.0102,2011. PDF WEBPAGE
  6. Tianyi Zhou and Dacheng Tao, “GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case“, International Conference on Machine Learning (ICML), 2011. PDF CODE VIDEO TALK WEBPAGE (ICML student scholarship)
  7. Tianyi Zhou and Dacheng Tao, “1-bit Compressed Quantization”, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), workshop on Sparse Representation and Low-rank Approximation, 2011. PDF
  8. Tianyi Zhou and Dacheng Tao, “Multi-label Subspace Ensemble”, International Conference on Artificial Intelligence and Statistics (AISTATS), 2012. PDF
  9. Tianyi Zhou and Dacheng Tao, “Labelset Anchored Subspace Ensemble (LASE) for Multi-label Annotation”, ACM International Conference on Multimedia Retrieval (ICMR), 2012. PDF
  10. Tianyi Zhou and Dacheng Tao, “Bilateral Random Projections”, IEEE International Symposium on Information Theory (ISIT), 2012. PDF
  11. Tianyi Zhou and Dacheng Tao, “1-bit Hamming Compressed Sensing”, IEEE International Symposium on Information Theory (ISIT), 2012. PDF
  12. Tianyi Zhou and Dacheng Tao, “Greedy Bilateral Sketch, Completion & Smoothing”, International Conference on Artificial Intelligence and Statistics (AISTATS), 2013. PDF CODE
  13. Tianyi Zhou and Dacheng Tao, “Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation”, International Joint Conferences on Artificial Intelligence (IJCAI), 2013. (Oral and Poster) PDF
  14. Tianyi Zhou and Dacheng Tao, “k-bit Hamming Compressed Sensing”, IEEE International Symposium on Information Theory (ISIT), 2013. PDF
  15. Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao, Constrained Stochastic Gradient Descent for Large-scale Least Squares Problem. ACM SIGKDD Conference on Knowledge Discovery and Data Mining(SIGKDD), Chicago, Illinois, 2013. PDF
  16. Tianyi Zhou, Wei Bian and Dacheng Tao, “Divide-and-Conquer Anchoring for Near-separable Nonnegative Matrix Factorization and Completion in High Dimensions
    “, IEEE International Conference on Data Mining (ICDM), 2013. [Best student paper award] PDF SLIDES CODE
  17. Tianyi Zhou and Dacheng Tao, “Multi-task Copula by Sparse Graph Regression“, ACM SIGKDD Conference on Knowledge Discovery and Data Mining(SIGKDD), NYC, 2014. PDF
  18. Tianyi Zhou, Jeff Bilmes, and Carlos Guestrin, “Divide-and-Conquer Learning by Anchoring a Conical Hull”, Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS), long version on arXiv 1406.5752, 2014. PDF

Talks:

  1. Tianyi Zhou, “GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case“, Oral presentation on International Conference on Machine Learning (ICML), Jul 29, 2011. (ICML student scholarship) VIDEO
  2. Tianyi Zhou, “GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case“, Statistics Seminar, Department of Statistics, Stanford University, Jul 28, 2011. POSTER
  3. Tianyi Zhou, “NESVM: a Fast Gradient Method for Support Vector Machines“, Oral presentation on IEEE International Conference on Data Mining (ICDM), Dec 15, 2010.


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