Quanming Yao

According to our database1, Quanming Yao authored at least 49 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2020
Efficient Backbone Search for Scene Text Recognition.
CoRR, 2020

Efficient Neural Interaction Function Search for Collaborative Filtering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

AutoSF: Searching Scoring Functions for Knowledge Graph Embedding.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Efficient Neural Architecture Search via Proximal Iterations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion.
IEEE Trans. Knowl. Data Eng., 2019

Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Millionaire: a hint-guided approach for crowdsourcing.
Mach. Learn., 2019

Neural Recurrent Structure Search for Knowledge Graph Embedding.
CoRR, 2019

Searching to Exploit Memorization Effect in Learning from Corrupted Labels.
CoRR, 2019

Searching for Interaction Functions in Collaborative Filtering.
CoRR, 2019

Differentiable Neural Architecture Search via Proximal Iterations.
CoRR, 2019

AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding.
CoRR, 2019

Few-shot Learning: A Survey.
CoRR, 2019

State-Sharing Sparse Hidden Markov Models for Personalized Sequences.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Robust Learning from Noisy Side-information by Semidefinite Programming.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations.
Proceedings of the 36th International Conference on Machine Learning, 2019

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Scalable Online Convolutional Sparse Coding.
IEEE Trans. Image Process., 2018

Privacy-preserving Transfer Learning for Knowledge Sharing.
CoRR, 2018

Taking Human out of Learning Applications: A Survey on Automated Machine Learning.
CoRR, 2018

Scalable Tensor Completion with Nonconvex Regularization.
CoRR, 2018

Co-sampling: Training Robust Networks for Extremely Noisy Supervision.
CoRR, 2018

Learning with Heterogeneous Side Information Fusion for Recommender Systems.
CoRR, 2018

Scalable Robust Matrix Factorization with Nonconvex Loss.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Co-teaching: Robust training of deep neural networks with extremely noisy labels.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Online Convolutional Sparse Coding with Sample-Dependent Dictionary.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
VISTopic: A visual analytics system for making sense of large document collections using hierarchical topic modeling.
Vis. Informatics, 2017

Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity.
J. Mach. Learn. Res., 2017

Efficient Robust Matrix Factorization with Nonconvex Penalties.
CoRR, 2017

Social Recommendation With Local Low Rank Matrix Approximation.
CoRR, 2017

Online Convolutional Sparse Coding.
CoRR, 2017

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Zero-shot learning with a partial set of observed attributes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Loss-aware Binarization of Deep Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Collaborative Filtering with Social Local Models.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Fast Learning with Nonconvex L1-2 Regularization.
CoRR, 2016

Learning of Generalized Low-Rank Models: A Greedy Approach.
CoRR, 2016

Greedy Learning of Generalized Low-Rank Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Fast Low-Rank Matrix Learning with Nonconvex Regularization.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Colorization by Patch-Based Local Low-Rank Matrix Completion.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2012
Efficient Group Learning with Hypergraph Partition in Multi-task Learning.
Proceedings of the Pattern Recognition - Chinese Conference, 2012


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