Yangkun Wang - RankMe

21 papers A* 5Journal 13Unranked 3

Year	Rank	Type	Title / 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