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Author

Yu-Ming Shang

Observed names: Shang, Yu-Ming, Shang, Yuming, Yuming Shang
ORCID: 0000-0003-2903-4223
Observed ORCID: 0000-0003-2903-4223
OpenAlex ID: A5071034640
OneRel: Joint Entity and Relation Extraction with One Module in One Step
2022 · Shang, Yu-Ming, Huang, Heyan, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 186
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A pattern-aware self-attention network for distant supervised relation extraction
2021 · Yu-Ming Shang, Heyan Huang, et al. · Information Sciences · 40
Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
2020 · Yuming Shang, He-Yan Huang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 37
Three birds, one stone: A novel translation based framework for joint entity and relation extraction
2021 · Heyan Huang, Yu-Ming Shang, et al. · Knowledge-Based Systems · 16
Evidence Retrieval is almost All You Need for Fact Verification
2024 · Liwen Zheng, Chaozhuo Li, et al. · 11
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Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction
2022 · Yu-Ming Shang, Heyan Huang, et al. · ACM Transactions on Information Systems · 10
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Don’t Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection
2023 · Yu Shi, Xi Zhang, et al. · IEEE Transactions on Big Data · 9
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency
2024 · Wei Huang, Yunxiao Zhang, et al. · IEEE Transactions on Knowledge and Data Engineering · 7
JailBench: A Comprehensive Chinese Security Assessment Benchmark for Large Language Models
2025 · Shuyi Liu, Simiao Cui, et al. · Lecture notes in computer science · 6
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Span Graph Transformer for Document-Level Named Entity Recognition
2024 · Hongli Mao, Xian-Ling Mao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 6
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A novel prompt-tuning method: Incorporating scenario-specific concepts into a verbalizer
2024 · Yong Ma, Senlin Luo, et al. · Expert Systems with Applications · 5
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Enhancing source code classification effectiveness via prompt learning incorporating knowledge features
2024 · Yong Ma, Senlin Luo, et al. · Scientific Reports · 4
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Clean-label Poisoning Attack against Fake News Detection Models
2023 · Jiayi Liang, Xi Zhang, et al. · IEEE International Conference on Big Data (BigData) · 4
Enhancing text representation with frequency-domain features for robust fake news detection
2026 · Zetao Fei, Yu-Ming Shang, et al. · Knowledge-Based Systems · 3
TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
2026 · Shuyi Liu, Yu-Ming Shang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 3
Joint Entity and Relation Extraction with Triple Discrimination
2022 · Zishuo Zang, Yu-Ming Shang, et al. · Lecture notes in electrical engineering · 2
Discovering new intents via spatio-temporal pseudo-label denoising
2025 · Yiting Huang, Yu-Ming Shang, et al. · Information Processing & Management · 1
Automated Detection of Pre-training Text in Black-box LLMs
2025 · Ruihan Hu, Yu-Ming Shang, et al. · International Joint Conference on Artificial Intelligence · 1
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Multi-Modal Relation Extraction Enhanced by Out-of-Text Visual Information
2025 · Yu-Ming Shang, Tao Wang, et al. · IEEE Transactions on Audio Speech and Language Processing · 1
ESRE: handling repeated entities in distant supervised relation extraction
2021 · Xin Sun, Jinghu Jiang, et al. · Neural Computing and Applications · 1
LoTTA: Low-rank test-time adaptation for unsupervised tabular anomaly detection
2026 · Yu-Ming Shang, Wenzhi Peng, et al. · Information Processing & Management
When Normality Shifts: Risk-Aware Test-Time Adaptation for Unsupervised Tabular Anomaly Detection
2026 · Huang, Wei, Qiao, Hezhe, et al. · arXiv (Cornell University)
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Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation
2026 · Huang, Wei, Xiong, Yuxuan, et al. · arXiv (Cornell University)
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When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
2026 · Ruihan Hu, Yu-Ming Shang, et al. · ACM Web Conference (WWW)
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
2026 · Hu, Ruihan, Shang, Yu-Ming, et al. · arXiv (Cornell University)
Works count: 31
Citation count: 353
H-index: 7
I10-index: 6
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