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2020 – today
- 2024
[c7]Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. LREC/COLING 2024: 16514-16526- 2023
- [c6]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. EMNLP (Findings) 2023: 4694-4702 - [i8]Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. CoRR abs/2305.14828 (2023) - [i7]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. CoRR abs/2310.17389 (2023) - 2022
- [j3]Junjie Wang
, Yangkun Wang, Yi Dai, Feng Zhang, Xiaodong Yu:
Cooperative Detection Method for Distracted and Fatigued Driving Behaviors With Readily Embedded System Implementation. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [c5]Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf:
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features. ICLR 2022 - [c4]Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan:
Inductive Relation Prediction Using Analogy Subgraph Embeddings. ICLR 2022 - [c3]Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf:
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. ICLR 2022 - [c2]Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf:
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation. NeurIPS 2022 - [i6]Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf:
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation. CoRR abs/2206.06587 (2022) - 2021
- [c1]Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf:
Graph Neural Networks Inspired by Classical Iterative Algorithms. ICML 2021: 11773-11783 - [i5]Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf:
Graph Neural Networks Inspired by Classical Iterative Algorithms. CoRR abs/2103.06064 (2021) - [i4]Yangkun Wang:
Bag of Tricks of Semi-Supervised Classification with Graph Neural Networks. CoRR abs/2103.13355 (2021) - [i3]Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf:
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. CoRR abs/2110.07190 (2021) - [i2]Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf:
Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features. CoRR abs/2110.13413 (2021) - [i1]Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf:
Implicit vs Unfolded Graph Neural Networks. CoRR abs/2111.06592 (2021)
2010 – 2019
- 2019
- [j2]Yangkun Wang, Feng Zhang, Xueheng Zhang, Shiwen Zhang:
Series AC Arc Fault Detection Method Based on Hybrid Time and Frequency Analysis and Fully Connected Neural Network. IEEE Trans. Ind. Informatics 15(12): 6210-6219 (2019) - 2018
- [j1]Yangkun Wang, Feng Zhang, Shiwen Zhang:
A New Methodology for Identifying Arc Fault by Sparse Representation and Neural Network. IEEE Trans. Instrum. Meas. 67(11): 2526-2537 (2018)
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