Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Decoupling Representation and Classifier for Noisy Label Learning.

[BibT_eX]

[DOI]

Hui Zhang

Quanming Yao

CoRR, 2020

A Survey of Label-noise Representation Learning: Past, Present and Future.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Neural Network with Automorphic Equivalence Filters.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Yongqi Zhang

Quanming Yao

Lei Chen

CoRR, 2020

Propagation Model Search for Graph Neural Networks.

[BibT_eX]

[DOI]

Yuhui Ding

Quanming Yao

Tong Zhang

CoRR, 2020

Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization.

[BibT_eX]

[DOI]

Yaqing Wang

Quanming Yao

James T. Kwok

CoRR, 2020

Efficient Backbone Search for Scene Text Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Neural Interaction Function Search for Collaborative Filtering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yu Liu

Quanming Yao

Yong Li

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Yongqi Zhang

Quanming Yao

Lei Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Searching to Exploit Memorization Effect in Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

SIGUA: Forgetting May Make Learning with Noisy Labels More Robust.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

AutoSF: Searching Scoring Functions for Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

AutoSTR: Efficient Backbone Search for Scene Text Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Simplifying Architecture Search for Graph Neural Network.

[BibT_eX]

[DOI]

Huan Zhao

Lanning Wei

Quanming Yao

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Efficient Neural Architecture Search via Proximal Iterations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion.

[BibT_eX]

[DOI]

Quanming Yao

James T. Kwok

IEEE Trans. Knowl. Data Eng., 2019

Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Millionaire: a hint-guided approach for crowdsourcing.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Neural Recurrent Structure Search for Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Yongqi Zhang

Quanming Yao

Lei Chen

CoRR, 2019

Searching to Exploit Memorization Effect in Learning from Corrupted Labels.

[BibT_eX]

[DOI]

CoRR, 2019

Searching for Interaction Functions in Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2019

Differentiable Neural Architecture Search via Proximal Iterations.

[BibT_eX]

[DOI]

CoRR, 2019

AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding.

[BibT_eX]

[DOI]

CoRR, 2019

Few-shot Learning: A Survey.

[BibT_eX]

[DOI]

Yaqing Wang

Quanming Yao

CoRR, 2019

State-Sharing Sparse Hidden Markov Models for Personalized Sequences.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Robust Learning from Noisy Side-information by Semidefinite Programming.

[BibT_eX]

[DOI]

En-Liang Hu

Quanming Yao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations.

[BibT_eX]

[DOI]

Quanming Yao

James Tin-Yau Kwok

Bo Han

Proceedings of the 36th International Conference on Machine Learning, 2019

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Scalable Online Convolutional Sparse Coding.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Privacy-preserving Transfer Learning for Knowledge Sharing.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Scalable Tensor Completion with Nonconvex Regularization.

[BibT_eX]

[DOI]

Quanming Yao

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Learning with Heterogeneous Side Information Fusion for Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2018

Scalable Robust Matrix Factorization with Nonconvex Loss.

[BibT_eX]

[DOI]

Quanming Yao

James T. Kwok

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yi Yang

Quanming Yao

Huamin Qu

Vis. Informatics, 2017

Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity.

[BibT_eX]

[DOI]

Quanming Yao

James T. Kwok

J. Mach. Learn. Res., 2017

Efficient Robust Matrix Factorization with Nonconvex Penalties.

[BibT_eX]

[DOI]

Quanming Yao

CoRR, 2017

Social Recommendation With Local Low Rank Matrix Approximation.

[BibT_eX]

[DOI]

Huan Zhao

Quanming Yao

Dik Lun Lee

CoRR, 2017

Online Convolutional Sparse Coding.

[BibT_eX]

[DOI]

CoRR, 2017

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Loss-aware Binarization of Deep Networks.

[BibT_eX]

[DOI]

Lu Hou

Quanming Yao

James T. Kwok

Proceedings of the 5th International Conference on Learning Representations, 2017

Collaborative Filtering with Social Local Models.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm.

[BibT_eX]

[DOI]

Xiawei Guo

Quanming Yao

James Tin-Yau Kwok

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Fast Learning with Nonconvex L1-2 Regularization.

[BibT_eX]

[DOI]

Quanming Yao

James T. Kwok

CoRR, 2016

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

[BibT_eX]

[DOI]

Quanming Yao

James T. Kwok

CoRR, 2016

Greedy Learning of Generalized Low-Rank Models.

[BibT_eX]

[DOI]

Quanming Yao

James T. Kwok

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion.

[BibT_eX]

[DOI]

Quanming Yao

James T. Kwok

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Fast Low-Rank Matrix Learning with Nonconvex Regularization.

[BibT_eX]

[DOI]

Quanming Yao

James T. Kwok

Wenliang Zhong

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Colorization by Patch-Based Local Low-Rank Matrix Completion.

[BibT_eX]

[DOI]

Quanming Yao

James T. Kwok

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2012

Efficient Group Learning with Hypergraph Partition in Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - Chinese Conference, 2012

Quanming Yao

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