Tianyi Zhou

According to our database1, Tianyi Zhou authored at least 54 papers between 2009 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Experimental Investigation on Subwavelength Imaging With Temporal-Spatial Random Illuminations.
IEEE Trans. Instrum. Meas., 2020

Induction Logging Through Casing by Detecting Lateral Waves: A Numerical Analysis.
IEEE Trans. Geosci. Remote. Sens., 2020

Stability-driven non-negative matrix factorization-based approach for extracting dynamic network from resting-state EEG.
Neurocomputing, 2020

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy.
CoRR, 2020

Multi-Center Federated Learning.
CoRR, 2020

Semantic Triple Encoder for Fast Open-Set Link Prediction.
CoRR, 2020

Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline.
CoRR, 2020

Conditional Self-Attention for Query-based Summarization.
CoRR, 2020

Collaborative Inference for Efficient Remote Monitoring.
CoRR, 2020

Attribute Propagation Network for Graph Zero-Shot Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Data Subset Selection With Imperfect Multiple Labels.
IEEE Trans. Neural Networks Learn. Syst., 2019

Learning to Propagate for Graph Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Curriculum-guided Hindsight Experience Replay.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Jumpout : Improved Dropout for Deep Neural Networks with ReLUs.
Proceedings of the 36th International Conference on Machine Learning, 2019

Bias Also Matters: Bias Attribution for Deep Neural Network Explanation.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Fast Directional Self-Attention Mechanism.
CoRR, 2018

Single frequency microwave imaging based on compressed sensing.
Proceedings of the 2018 IEEE Radio and Wireless Symposium, 2018

Microwave energy focus by spatial-frequency discrete antenna array.
Proceedings of the 2018 IEEE Radio and Wireless Symposium, 2018

Diverse Ensemble Evolution: Curriculum Data-Model Marriage.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity.
Proceedings of the 6th International Conference on Learning Representations, 2018

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.
Proceedings of the 6th International Conference on Learning Representations, 2018

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Cluster Aggregation for Analyzing Event-Related Potentials.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Scaling Submodular Maximization via Pruned Submodularity Graphs.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Stream Clipper: Scalable Submodular Maximization on Stream.
CoRR, 2016

2015
Efficient Robust Conditional Random Fields.
IEEE Trans. Image Process., 2015

On Combining the Dielectrophoresis and Microdevices - Investigation of Hippocampal Neuronal Viability after Implementing Dielectrophoretic Positioning on Multi-Electrode Arrays.
Proceedings of the BIODEVICES 2015, 2015

2014
Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2014

Divide-and-Conquer Learning by Anchoring a Conical Hull.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Multi-task copula by sparse graph regression.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Geometry based visualization of hierarchical structures.
Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014

2013
Double Shrinking Sparse Dimension Reduction.
IEEE Trans. Image Process., 2013

Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition.
CoRR, 2013

Constrained stochastic gradient descent for large-scale least squares problem.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

k-bit Hamming compressed sensing.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation.
Proceedings of the IJCAI 2013, 2013

Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Greedy Bilateral Sketch, Completion & Smoothing.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Compressed labeling on distilled labelsets for multi-label learning.
Mach. Learn., 2012

Multi-label Subspace Ensemble.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Labelset anchored subspace ensemble (LASE) for multi-label annotation.
Proceedings of the International Conference on Multimedia Retrieval, 2012

1-bit Hamming compressed sensing.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Bilateral random projections.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Manifold elastic net: a unified framework for sparse dimension reduction.
Data Min. Knowl. Discov., 2011

Hamming Compressed Sensing
CoRR, 2011

Multi-label Learning via Structured Decomposition and Group Sparsity
CoRR, 2011

GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

NESVM: A Fast Gradient Method for Support Vector Machines.
Proceedings of the ICDM 2010, 2010

2009
Manifold Elastic Net for Sparse Learning.
Proceedings of the IEEE International Conference on Systems, 2009


  Loading...