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]
Journal Articles
Hao Yuan, Lei Cai, Xia Hu, Jie Wang, and Shuiwang Ji
Interpreting Image Classifiers by Generating Discrete Masks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 [paper]
Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, and Shuiwang Ji
Computational Modeling of Cellular Structures Using Conditional Deep Generative Networks
Bioinformatics (5-Year Impact Factor: 8.561), 2018 [paper][code]
Meng Liu*, Youzhi Luo*, Limei Wang*, Yaochen Xie*, Hao Yuan*, Shurui Gui*, Haiyang Yu*, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora Oztekin, Xuan Zhang, and Shuiwang Ji (* indicates equal contribution)
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
Journal of Machine Learning Research (JMLR), 2021. [paper][code]
Hongyang Gao, Hao Yuan, Zhengyang Wang, and Shuiwang Ji.
Pixel Transposed Convolutional Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 [paper][code]
Yi Liu, Hao Yuan, Zhengyang Wang, and Shuiwang Ji
Global Pixel Transformers for Virtual Staining of Microscopy Images
IEEE Transactions on Medical Imaging (TMI), 2019 [paper]