Yangkun Wang

According to our database, Yangkun Wang authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation.

Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang

CoRR, 2023

ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation.

Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Cooperative Detection Method for Distracted and Fatigued Driving Behaviors With Readily Embedded System Implementation.

Junjie Wang, Yangkun Wang, Yi Dai, Feng Zhang, Xiaodong Yu

IEEE Trans. Instrum. Meas., 2022

Learning Enhanced Representations for Tabular Data via Neighborhood Propagation.

Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf

CoRR, 2022

Learning Enhanced Representation for Tabular Data via Neighborhood Propagation.

Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Why Propagate Alone? Parallel Use of Labels and Features on Graphs.

Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf

Proceedings of the Tenth International Conference on Learning Representations, 2022

Inductive Relation Prediction Using Analogy Subgraph Embeddings.

Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.

Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Implicit vs Unfolded Graph Neural Networks.

Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf

CoRR, 2021

Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features.

Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf

CoRR, 2021

Bag of Tricks of Semi-Supervised Classification with Graph Neural Networks.

Yangkun Wang

CoRR, 2021

Graph Neural Networks Inspired by Classical Iterative Algorithms.

Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Series AC Arc Fault Detection Method Based on Hybrid Time and Frequency Analysis and Fully Connected Neural Network.

Yangkun Wang, Feng Zhang, Xueheng Zhang, Shiwen Zhang

IEEE Trans. Ind. Informatics, 2019

2018

A New Methodology for Identifying Arc Fault by Sparse Representation and Neural Network.

Yangkun Wang, Feng Zhang, Shiwen Zhang

IEEE Trans. Instrum. Meas., 2018