Publications

Preprints

Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou, Qingquan Song, Xiao Huang, and Xia Hu. https://arxiv.org/pdf/1909.03184.pdf.. paper

Techniques for Automated Machine Learning
Yi-Wei Chen, Qingquan Song, and Xia Hu. arXiv preprint arXiv:1907.08908.. paper

2020

Towards Automated Neural Architecture Discovery for Click-Through Rate Prediction
Qingquan Song, Dehua Cheng, Eric Zhou, Jiyan Yang, Yuandong Tian, and Xia Hu. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2020. paper code

Multi-Channel Graph Convolutional Networks
Kaixiong, Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, and Xia Hu. The 29th International Joint Conference on Artificial Intelligence. IJCAI 2020. paper

On Robustness of Neural Architecture Search under Label Noise
Yi-Wei Chen, Qingquan Song, Xi Liu, P. S. Sastry, and Xia Hu. Frontiers in Big Data.. paper

2019

Coupled Variational Recurrent Collaborative Filtering
Qingquan Song, Shiyu Chang, and Xia Hu. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2019. paper code

Auto-Keras: Efficient Neural Architecture Search with Network Morphism
Haifeng Jin, Qingquan Song, and Xia Hu. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2019. paper code

Graph Recurrent Networks with Attributed Random Walks
Xiao Huang, Qingquan Song, Yuening Li, and Xia Hu. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2019. paper

Tensor Completion Algorithms in Big Data Analytics
Qingquan Song,Hancheng Ge, James Caverlee, and Xia Hu. ACM Transactions on Knowledge Discovery from Data. TKDD 2019. paper

Large-Scale Heterogeneous Feature Embedding with Networks
Xiao Huang, Qingquan Song, Fan Yang, and Xia Hu. The 33rd AAAI Conference on Artificial Intelligence.. AAAI 2019. paper slide code

2018

Discriminative Graph Autoencoder
Haifeng Jin, Qingquan Song, and Xia Hu. IEEE International Conference on Big Knowledge. ICBK 2018. paper

Multi-Label Adversarial Perturbations
Qingquan Song, Haifeng Jin, Xiao Huang, and Xia Hu. IEEE International Conference on Data Mining. ICDM 2018. paper

TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation
Xing Zhao, Qingquan Song, James Caverlee, and Xia Hu. ACM Recommender Systems Challenge workshop. RecSys 2018. paper slide

Towards Explanation of DNN-based Prediction with Guided Feature Inversion
Mengnan Du, Ninghao Liu, Qingquan Song, and Xia Hu. The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2018. paper

Exploring Expert Cognition for Attributed Network Embedding
Xiao Huang, Qingquan Song, Jundong Li, and Xia Hu. The 11th ACM International Conference on Web Search and Data Mining. WSDM 2018. paper slide code poster

2017

Multi-Aspect Streaming Tensor Completion
Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, and Xia Hu. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2017. paper