Tianyi Zhou
Title
Cited by
Cited by
Year
Godec: Randomized low-rank & sparse matrix decomposition in noisy case
T Zhou, D Tao
International Conference on Machine Learning 3, 2, 2011
5522011
Disan: Directional self-attention network for rnn/cnn-free language understanding
T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang
arXiv preprint arXiv:1709.04696, 2017
3272017
Manifold elastic net: a unified framework for sparse dimension reduction
T Zhou, D Tao, X Wu
Data Mining and Knowledge Discovery 22 (3), 340-371, 2011
1872011
Bi-directional block self-attention for fast and memory-efficient sequence modeling
T Shen, T Zhou, G Long, J Jiang, C Zhang
ICLR 2018, 2018
772018
Double Shrinking Sparse Dimension Reduction
T Zhou, D Tao
IEEE Transactions on Image Processing (TIP), 2012
772012
Reinforced self-attention network: a hybrid of hard and soft attention for sequence modeling
T Shen, T Zhou, G Long, J Jiang, S Wang, C Zhang
arXiv preprint arXiv:1801.10296 (accepted by IJCAI 2018), 2018
702018
Compressed labeling on distilled labelsets for multi-label learning
T Zhou, D Tao, X Wu
Machine Learning, 1-58, 2012
622012
Bilateral random projections
T Zhou, D Tao
2012 IEEE International Symposium on Information Theory Proceedings, 1286-1290, 2012
572012
NESVM: A fast gradient method for support vector machines
T Zhou, D Tao, X Wu
2010 IEEE International Conference on Data Mining, 679-688, 2010
532010
Greedy bilateral sketch, completion & smoothing
T Zhou, D Tao
Journal of Machine Learning Research, 2013
462013
Shifted subspaces tracking on sparse outlier for motion segmentation
T Zhou, D Tao
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
372013
Divide-and-conquer anchoring for near-separable nonnegative matrix factorization and completion in high dimensions
T Zhou, W Bian, D Tao
2013 IEEE 13th International Conference on Data Mining, 917-926, 2013
292013
Multi-label Subspace Ensemble
T Zhou, D Tao
Fifteenth International Conference on Artificial Intelligence and …, 0
19*
Divide-and-conquer learning by anchoring a conical hull
T Zhou, JA Bilmes, C Guestrin
Advances in Neural Information Processing Systems, 1242-1250, 2014
172014
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
L Liu, T Zhou, G Long, J Jiang, L Yao, C Zhang
IJCAI 2019, 2019
162019
Efficient robust conditional random fields
D Song, W Liu, T Zhou, D Tao, DA Meyer
IEEE Transactions on Image Processing 24 (10), 3124-3136, 2015
162015
Learning to propagate for graph meta-learning
L Liu, T Zhou, G Long, J Jiang, C Zhang
Advances in Neural Information Processing Systems, 1039-1050, 2019
152019
Fast gradient clustering
T Zhou, D Tao
NIPS 2009 Workshop on Discrete Optimization in Machine Learning …, 2009
132009
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity
T Zhou, J Bilmes
International Conference on Learning Representations (ICLR), https …, 2018
122018
k-bit Hamming Compressed Sensing
T Zhou, D Tao
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on, 5, 2013
92013
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Articles 1–20