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ORCIDHao Yuan 0001
Person information
- affiliation (PhD 2021): Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA
Other persons with the same name
- Hao Yuan — disambiguation page
- Hao Yuan 0002
![[0000-0002-6780-9627]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6780-9627")
— Lenovo Research, Beiing, China (and 1 more) - Hao Yuan 0003 — Universal Village Society, Cambridge, MA, USA
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2020 – today
- 2024
[j8]Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji:
FlowX: Towards Explainable Graph Neural Networks via Message Flows. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4567-4578 (2024)- 2023
- [j7]Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1189-1200 (2023) - [j6]Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji:
Explainability in Graph Neural Networks: A Taxonomic Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5782-5799 (2023) - 2022
- [j5]Hao Yuan, Lei Cai, Xia Hu, Jie Wang, Shuiwang Ji:
Interpreting Image Classifiers by Generating Discrete Masks. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2019-2030 (2022) - [i13]Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji:
FlowX: Towards Explainable Graph Neural Networks via Message Flows. CoRR abs/2206.12987 (2022) - 2021
- [j4]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, Shuiwang Ji:
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. J. Mach. Learn. Res. 22: 240:1-240:9 (2021) - [c10]Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji:
On Explainability of Graph Neural Networks via Subgraph Explorations. ICML 2021: 12241-12252 - [i12]Hao Yuan, Shuiwang Ji:
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks. CoRR abs/2101.01849 (2021) - [i11]Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji:
On Explainability of Graph Neural Networks via Subgraph Explorations. CoRR abs/2102.05152 (2021) - [i10]Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji:
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. CoRR abs/2103.12608 (2021) - [i9]Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji:
Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks. CoRR abs/2106.08551 (2021) - 2020
- [j3]Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Pixel Transposed Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1218-1227 (2020) - [j2]Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Global Pixel Transformers for Virtual Staining of Microscopy Images. IEEE Trans. Medical Imaging 39(6): 2256-2266 (2020) - [c9]Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak P. Mohanty:
Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis. ICDM 2020: 392-401 - [c8]Hao Yuan, Shuiwang Ji:
StructPool: Structured Graph Pooling via Conditional Random Fields. ICLR 2020 - [c7]Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji:
XGNN: Towards Model-Level Explanations of Graph Neural Networks. KDD 2020: 430-438 - [c6]Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji:
Deep Learning of High-Order Interactions for Protein Interface Prediction. KDD 2020: 679-687 - [i8]Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji:
XGNN: Towards Model-Level Explanations of Graph Neural Networks. CoRR abs/2006.02587 (2020) - [i7]Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji:
Deep Learning of High-Order Interactions for Protein Interface Prediction. CoRR abs/2007.09334 (2020) - [i6]Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. CoRR abs/2011.08877 (2020) - [i5]Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji:
Explainability in Graph Neural Networks: A Taxonomic Survey. CoRR abs/2012.15445 (2020)
2010 – 2019
- 2019
- [j1]Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, Shuiwang Ji:
Computational modeling of cellular structures using conditional deep generative networks. Bioinform. 35(12): 2141-2149 (2019) - [c5]Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji:
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods. AAAI 2019: 5717-5724 - [c4]Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji:
Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. ICDM 2019: 806-815 - [c3]Yi Liu, Hao Yuan, Shuiwang Ji:
Learning Local and Global Multi-context Representations for Document Classification. ICDM 2019: 1234-1239 - [c2]Zhengyang Wang, Hao Yuan, Shuiwang Ji:
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions. SDM 2019: 648-656 - [c1]Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu:
XFake: Explainable Fake News Detector with Visualizations. WWW 2019: 3600-3604 - [i4]Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images. CoRR abs/1907.00941 (2019) - [i3]Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu:
XFake: Explainable Fake News Detector with Visualizations. CoRR abs/1907.07757 (2019) - 2017
- [i2]Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Pixel Deconvolutional Networks. CoRR abs/1705.06820 (2017) - [i1]Zhengyang Wang, Hao Yuan, Shuiwang Ji:
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions. CoRR abs/1705.06821 (2017)
Coauthor Index
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