Publications

(2020). Graph Stochastic Neural Networks for Semi-supervised Learning. Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS-20.

(2020). Graph Geometry Interaction Learning. Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS-20.

(2020). Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS-20.

(2020). OpenWGL: Open-World Graph Learning. Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020.

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(2020). Multivariate Relations Aggregation Learning in Social Networks. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, JCDL-20, Virtual Event, China, August 1-5, 2020 (The Vannevar Bush Best Paper Honorable Mention).

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(2020). One-Shot Neural Architecture Search via Novelty Driven Sampling. International Joint Conference on Artificial Intelligence, IJCAI-20.

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(2020). A comprehensive survey on graph neural networks. IEEE Transactions on Neural Networks and Learning Systems.

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(2020). Overcoming Multi-Model Forgetting in One-Shot NAS with Diversity Maximization. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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(2020). GSSNN: Graph Smoothing Splines Neural Networks. AAAI Conference on Artificial Intelligence, AAAI-20.

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(2020). Going Deep: Graph Convolutional Ladder-shape Networks. AAAI Conference on Artificial Intelligence, AAAI-20.

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(2019). Relation Structure-Aware Heterogeneous Graph Neural Network. Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019.

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(2019). Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. CIKM’19 - Proceedings of the 2019 ACM Conference on Information and Knowledge Management.

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(2019). Domain-Adversarial Graph Neural Networks for Text Classification. Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019.

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(2019). An Effective and Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. CIKM’19 - Proceedings of the 2019 ACM Conference on Information and Knowledge Management.

(2019). Low-Bit Quantization for Attributed Network Representation Learning. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19.

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(2019). Graph WaveNet for Deep Spatial-Temporal Graph Modeling. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19.

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(2019). Attributed Graph Clustering: A Deep Attentional Embedding Approach. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19.

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(2019). Label Embedding with Partial Heterogeneous Contexts. The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019.

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(2019). Detecting Suicidal Ideation with Data Protection in Online Communities. Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings,.

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(2018). Multiple structure-view learning for graph classification. IEEE Transactions on Neural Networks and Learning Systems.

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(2018). FraudNE: a joint embedding approach for fraud detection. 2018 International Joint Conference on Neural Networks (IJCNN) - 2018 Proceedings.

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(2018). Discrete network embedding. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018.

(2018). DiSAN: directional self-attention network for RNN/CNN-free language understanding. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18 ).

(2018). Cross-domain deep learning approach for multiple financial market prediction. 2018 International Joint Conference on Neural Networks (IJCNN) - 2018 Proceedings.

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(2018). Cost-sensitive hybrid neural networks for heterogeneous and imbalanced data. 2018 International Joint Conference on Neural Networks (IJCNN) - 2012 Proceedings.

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(2018). Binarized attributed network embedding. Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDM 2018.

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(2018). Adversarially regularized graph autoencoder for graph embedding. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018.

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(2018). Active discriminative network representation learning. Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018.

(2017). MGAE: marginalized graph autoencoder for graph clustering. CIKM’17 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management.

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(2017). Graph ladder networks for network classification. CIKM’17 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management.

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(2016). Tri-party deep network representation. IJCAI-16 - Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI 2016.

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(2016). Iterative views agreement: an iterative low-rank based structured optimization method to multi-view spectral clustering. IJCAI-16 - Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI 2016.

(2016). Direct discriminative bag mapping for multi-instance learning. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI’16 ).

(2016). Co-clustering enterprise social networks. 2016 International Joint Conference on Neural Networks (IJCNN).

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(2015). Multi-graph-view learning for complicated object classification. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence.

(2015). CogBoost: boosting for fast cost-sensitive graph classification. IEEE Transactions on Knowledge and Data Engineering.

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(2014). Multi-graph learning with positive and unlabeled bags. Proceedings of the 2014 SIAM International Conference on Data Mining.

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(2014). Exploring features for complicated objects: cross-view feature selection for multi-instance learning. Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management.

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(2014). Dual instance and attribute weighting for Naive Bayes classification. Proceedings of the 2014 International Joint Conference on Neural Networks.

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(2014). Attribute weighting: how and when does it work for Bayesian Network Classification. Proceedings of the 2014 International Joint Conference on Neural Networks.

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(2013). Graph stream classification using labeled and unlabeled graphs. ICDE 2013 - 29th International Conference on Data Engineering.

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(2013). Graph classification with imbalanced class distributions and noise. IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence.

(2012). Top-k correlated subgraph query for data streams. ICPR 2012 - 21st International Conference on Pattern Recognition.

(2012). Continuous top-k query for graph streams. CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management.

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(2012). CGStream: Continuous correlated graph query for data streams. CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management.

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(2010). Ensemble of multiple descriptors for automatic image annotation. Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010.

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(2010). Classifier ensemble for uncertain data stream classification. Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings.

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