Tianyi Zhou
Tianyi Zhou
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.washington.edu - Kotisivu
Godec: Randomized low-rank & sparse matrix decomposition in noisy case
T Zhou, D Tao
International Conference on Machine Learning 3, 2, 2011
Disan: Directional self-attention network for rnn/cnn-free language understanding
T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang
AAAI 2018, arXiv preprint arXiv:1709.04696, 2017
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
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
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
Double Shrinking Sparse Dimension Reduction
T Zhou, D Tao
IEEE Transactions on Image Processing (TIP), 2012
Compressed labeling on distilled labelsets for multi-label learning
T Zhou, D Tao, X Wu
Machine Learning, 1-58, 2012
Bilateral random projections
T Zhou, D Tao
2012 IEEE International Symposium on Information Theory Proceedings, 1286-1290, 2012
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
Greedy bilateral sketch, completion & smoothing
T Zhou, D Tao
Artificial Intelligence and Statistics, 650-658, 2013
Learning to propagate for graph meta-learning
L Liu, T Zhou, G Long, J Jiang, C Zhang
NeurIPS 2019, arXiv preprint arXiv:1909.05024, 2019
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
Curriculum-guided hindsight experience replay
M Fang, T Zhou, Y Du, L Han, Z Zhang
NeurIPS 2019, 2019
Shifted subspaces tracking on sparse outlier for motion segmentation
T Zhou, D Tao
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
Y Li, G Long, T Shen, T Zhou, L Yao, H Huo, J Jiang
AAAI 2020, 2019
Multi-center federated learning
M Xie, G Long, T Shen, T Zhou, X Wang, J Jiang, C Zhang
arXiv preprint arXiv:2108.08647, 2021
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
Attribute Propagation Network for Graph Zero-shot Learning
L Liu, T Zhou, G Long, J Jiang, C Zhang
AAAI 2020, 2019
Rethinking 1d-cnn for time series classification: A stronger baseline
W Tang, G Long, L Liu, T Zhou, J Jiang, M Blumenstein
arXiv preprint arXiv:2002.10061, 2020
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity
T Zhou, J Bilmes
International Conference on Learning Representations (ICLR), https …, 2018
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Artikkelit 1–20