Conference Papers

  • Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, and Shuiwang Ji

On Explainability of Graph Neural Networks via Subgraph Explorations

The 38th International Conference on Machine Learning (ICML), 2021 [paper][code]

  • Hao Yuan and Shuiwang Ji

StructPool: Structured Graph Pooling via Conditional Random Fields

The Eighth International Conference on Learning Representations (ICLR), 2020 [paper][code]

  • Hao Yuan, Jiliang Tang, Xia Hu and Shuiwang Ji

XGNN: Towards Model-Level Explanations of Graph Neural Networks

The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) , 2020 [paper]

  • Hao Yuan, Yongjun Chen, Xia Hu, and Shuiwang Ji

Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods

The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019 [paper]

  • Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, and Shuiwang Ji

Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction [paper]

The 19th IEEE International Conference on Data Mining (ICDM), 2019

  • Fan Yang*, Shiva K. Pentyala*, Sina Mohseni*, Mengnan Du*, Hao Yuan*, Rhema Linder, Eric D. Ragan, Shuiwang Ji, and Xia Hu (* indicates equal contribution)

XFake: Explainable Fake News Detector with Visualizations [paper]

The Web Conference (WWW), Demonstrations Track, 2019

  • Yi Liu, Hao Yuan, Lei Cai and Shuiwang Ji

Deep Learning of High-Order Interactions for Protein Interface Prediction

The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) , 2020 [paper]

  • Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, and Binayak Mohanty

Context-Aware Deep Representation Learning for Geo-Spatiotemporal Analysis

The 20th IEEE International Conference on Data Mining (ICDM), 2020 [paper]

  • Yi Liu, Hao Yuan, and Shuiwang Ji

Learning Local and Global Multi-Context Representations for Document Classification

The 19th IEEE International Conference on Data Mining (ICDM), 2019 [paper]

  • Zhengyang Wang, Hao Yuan, and Shuiwang Ji.

Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions.

The SIAM International Conference on Data Mining (SDM), 2019 [paper][code]

  • Yiming Qian, Hao Yuan, and Minglun Gong.

Budget-Driven Big Data Classification.

Advances in Artificial Intelligence (Canadian AI), 2015 , (Best Paper Award) [paper]