Qingquan Song

According to our database¹, Qingquan Song authored at least 38 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Comparative Analysis of the Diagonal Stride Technique during Roller Skiing and On-Snow Skiing in Youth Cross-Country Skiers.

[BibT_eX]

[DOI]

Hans-Christer Holmberg

Hui Liu

Sensors, March, 2024

Learning to Retrieve for Job Matching.

[BibT_eX]

[DOI]

CoRR, 2024

LiRank: Industrial Large Scale Ranking Models at LinkedIn.

[BibT_eX]

[DOI]

CoRR, 2024

FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference.

[BibT_eX]

[DOI]

Zirui Liu

Qingquan Song

Qiang Charles Xiao

Sathiya Keerthi Selvaraj

Rahul Mazumder

Aman Gupta

Xia Hu

CoRR, 2024

2023

AutoKeras: An AutoML Library for Deep Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Subarchitecture Ensemble Pruning in Neural Architecture Search.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Auto-GNN: Neural architecture search of graph neural networks.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization.

[BibT_eX]

[DOI]

CoRR, 2022

Geometric Graph Representation Learning via Maximizing Rate Reduction.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Generalized Deep Mixed Models.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Techniques for Automated Machine Learning.

[BibT_eX]

[DOI]

Yi-Wei Chen

Qingquan Song

Xia Hu

SIGKDD Explor., 2020

On Robustness of Neural Architecture Search Under Label Noise.

[BibT_eX]

[DOI]

Frontiers Big Data, 2020

Towards Interaction Detection Using Topological Analysis on Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

AutoRec: An Automated Recommender System.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Detecting Interactions from Neural Networks via Topological Analysis.

[BibT_eX]

[DOI]

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

Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

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

Multi-Channel Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Tensor Completion Algorithms in Big Data Analytics.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Multi-Channel Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Sub-Architecture Ensemble Pruning in Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

Auto-GNN: Neural Architecture Search of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Techniques for Automated Machine Learning.

[BibT_eX]

[DOI]

Yi-Wei Chen

Qingquan Song

Xia Hu

CoRR, 2019

Coupled Variational Recurrent Collaborative Filtering.

[BibT_eX]

[DOI]

Qingquan Song

Shiyu Chang

Xia Hu

CoRR, 2019

Multi-Label Adversarial Perturbations.

[BibT_eX]

[DOI]

CoRR, 2019

Coupled Variational Recurrent Collaborative Filtering.

[BibT_eX]

[DOI]

Qingquan Song

Shiyu Chang

Xia Hu

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

Auto-Keras: An Efficient Neural Architecture Search System.

[BibT_eX]

[DOI]

Haifeng Jin

Qingquan Song

Xia Hu

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

Graph Recurrent Networks With Attributed Random Walks.

[BibT_eX]

[DOI]

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

Large-Scale Heterogeneous Feature Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Efficient Neural Architecture Search with Network Morphism.

[BibT_eX]

[DOI]

Haifeng Jin

Qingquan Song

Xia Hu

CoRR, 2018

Exploring Expert Cognition for Attributed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation.

[BibT_eX]

[DOI]

Proceedings of the ACM Recommender Systems Challenge, 2018

Towards Explanation of DNN-based Prediction with Guided Feature Inversion.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-label Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Discriminative Graph Autoencoder.

[BibT_eX]

[DOI]

Haifeng Jin

Qingquan Song

Xia Hu

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Tensor Completion Algorithms in Big Data Analytics.

[BibT_eX]

[DOI]

CoRR, 2017

Multi-Aspect Streaming Tensor Completion.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Qingquan Song

Timeline

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On csauthors.net:

Bibliography

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