Yangkun Wang

21 papers A* 5Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Direct Prompt Optimization with Continuous Representations.
ACL (1)
Yangkun Wang, Zihan Wang, Jingbo Shang
2025 J jnl
Implicit vs Unfolded Graph Neural Networks.
J. Mach. Learn. Res.
Yongyi Yang, Tang Liu, Yangkun Wang, Zengfeng Huang, David Wipf
2025 J jnl
Watermarks for Language Models via Probabilistic Automata.
CoRR
Yangkun Wang, Jingbo Shang
2024 — conf
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation.
LREC/COLING
Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang
2023 J jnl
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation.
CoRR
Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang
2023 — conf
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation.
EMNLP (Findings)
Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang
2023 J jnl
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation.
CoRR
Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang
2022 J jnl
Cooperative Detection Method for Distracted and Fatigued Driving Behaviors With Readily Embedded System Implementation.
IEEE Trans. Instrum. Meas.
Junjie Wang, Yangkun Wang, Yi Dai, Feng Zhang, Xiaodong Yu
2022 A* conf
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.
ICLR
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
2022 A* conf
Inductive Relation Prediction Using Analogy Subgraph Embeddings.
ICLR
Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan
2022 A* conf
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation.
NeurIPS
Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf
2022 J jnl
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation.
CoRR
Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf
2022 A* conf
Why Propagate Alone? Parallel Use of Labels and Features on Graphs.
ICLR
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
2021 J jnl
Bag of Tricks of Semi-Supervised Classification with Graph Neural Networks.
CoRR
Yangkun Wang
2021 J jnl
Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features.
CoRR
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
2021 A* conf
Graph Neural Networks Inspired by Classical Iterative Algorithms.
ICML
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
2021 J jnl
Graph Neural Networks Inspired by Classical Iterative Algorithms.
CoRR
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
2021 J jnl
Implicit vs Unfolded Graph Neural Networks.
CoRR
Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf
2021 J jnl
Why Propagate Alone? Parallel Use of Labels and Features on Graphs.
CoRR
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
2019 J jnl
Series AC Arc Fault Detection Method Based on Hybrid Time and Frequency Analysis and Fully Connected Neural Network.
IEEE Trans. Ind. Informatics
Yangkun Wang, Feng Zhang, Xueheng Zhang, Shiwen Zhang
2018 J jnl
A New Methodology for Identifying Arc Fault by Sparse Representation and Neural Network.
IEEE Trans. Instrum. Meas.
Yangkun Wang, Feng Zhang, Shiwen Zhang