Yongxiu Xu

According to our database, Yongxiu Xu authored at least 26 papers between 2021 and 2026.

Collaborative distances:

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

2026

Does Unification Come at a Cost? Uni-SafeBench: A Safety Benchmark for Unified Multimodal Large Models.

Zixiang Peng, Yongxiu Xu, Qinyi Zhang, Jiexun Shen, Yifan Zhang, Hongbo Xu, Yubin Wang, Gaopeng Gou

CoRR, April, 2026

Event-Centric Structural Modeling for Zero-Shot Video Moment Retrieval.

Xin Li, Yongxiu Xu, Yuyao Kong, Hongbo Xu, Gaopeng Gou, Yubin Wang

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion.

Jiawei Sheng, Taoyu Su, Weiyi Yang, Linghui Wang, Yongxiu Xu, Tingwen Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MMSD3.0: A Multi-Image Benchmark for Real-World Multimodal Sarcasm Detection.

Haochen Zhao, Yuyao Kong, Yongxiu Xu, Gaopeng Gou, Hongbo Xu, Yubin Wang, Haoliang Zhang

CoRR, October, 2025

An Adaptive Semantic-Aware Fusion Method for Multimodal Entity Linking.

Hao Xu, Yongxiu Xu, Xinkui Lin, Hongbo Xu, Yubin Wang, Gaopeng Gou

Proceedings of the Natural Language Processing and Chinese Computing, 2025

REMOTE: A Unified Multimodal Relation Extraction Framework with Multilevel Optimal Transport and Mixture-of-Experts.

Xinkui Lin, Yongxiu Xu, Minghao Tang, Shilong Zhang, Hongbo Xu, Hao Xu, Yubin Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

EilMoB: Emotion-aware Incongruity Learning and Modality Bridging Network for Multi-modal Sarcasm Detection.

Haochen Zhao, Yongxiu Xu, Xinkui Lin, Jiarui Lu, Hongbo Xu, Yubin Wang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

RDA: Regularized Domain Adaptation for Multimedia Event Extraction.

Yuhui Zhang, Yongxiu Xu, Minghao Tang, Xinkui Lin, Yubin Wang, Hongbo Xu, Gaopeng Gou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

MAKAR: a Multi-Agent framework based Knowledge-Augmented Reasoning for Grounded Multimodal Named Entity Recognition.

Xinkui Lin, Yuhui Zhang, Yongxiu Xu, Kun Huang, Hongzhang Mu, Yubin Wang, Gaopeng Gou, Li Qian, Li Peng, Wei Liu, Jian Luan, Hongbo Xu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation.

Longzheng Wang, Xiaohan Xu, Lei Zhang, Jiarui Lu, Yongxiu Xu, Hongbo Xu, Chuang Zhang

CoRR, 2024

Position and Type Aware Anchor Link Prediction Across Social Networks.

Dongwei Zhu, Yongxiu Xu, Hongbo Xu, Hao Xu, Qi Wang, Wenhao Zhu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

An Effective Span-based Multimodal Named Entity Recognition with Consistent Cross-Modal Alignment.

Yongxiu Xu, Hao Xu, Heyan Huang, Shiyao Cui, Minghao Tang, Longzheng Wang, Hongbo Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

S2F-NER: Exploring Sequence-to-Forest Generation for Complex Entity Recognition.

Yongxiu Xu, Heyan Huang, Yue Hu

CoRR, 2023

Prompting Generative Language Model with Guiding Augmentation for Aspect Sentiment Triplet Extraction.

Kun Huang, Yongxiu Xu, Xinghua Zhang, Wenyuan Zhang, Hongbo Xu

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Exploring Cross-Modal Inconsistency in Entities and Emotions for Multimodal Fake News Detection.

Longzheng Wang, Chuang Zhang, Hongbo Xu, Yongxiu Xu, Siqi Wang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Cross-modal Contrastive Learning for Multimodal Fake News Detection.

Longzheng Wang, Chuang Zhang, Hongbo Xu, Yongxiu Xu, Xiaohan Xu, Siqi Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning.

Hao You, Heyan Huang, Yue Hu, Yongxiu Xu

Proceedings of the Knowledge Science, Engineering and Management, 2023

Anchor Link Prediction Based on Trusted Anchor Re-identification.

Dongwei Zhu, Yongxiu Xu, Lei Zhang, Minghao Tang, Wenhao Zhu, Hongbo Xu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

PTSTEP: Prompt Tuning for Semantic Typing of Event Processes.

Wenhao Zhu, Yongxiu Xu, Hongbo Xu, Minghao Tang, Dongwei Zhu

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

A Boundary Offset Prediction Network for Named Entity Recognition.

Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin

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

Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning.

Minghao Tang, Yongquan He, Yongxiu Xu, Hongbo Xu, Wenyuan Zhang, Yang Lin

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

Broaden Your Horizons: Inter-news Relation Mining for Fake News Detection.

Lei Zhang, Hongbo Xu, Fengzhao Shi, Chaoyang Yan, Yongxiu Xu

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Wlinker: Modeling Relational Triplet Extraction As Word Linking.

Yongxiu Xu, Chuan Zhou, Heyan Huang, Jing Yu, Yue Hu

Proceedings of the IEEE International Conference on Acoustics, 2022

DoSEA: A Domain-specific Entity-aware Framework for Cross-Domain Named Entity Recogition.

Minghao Tang, Peng Zhang, Yongquan He, Yongxiu Xu, Chengpeng Chao, Hongbo Xu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

A Relation-aware Attention Neural Network for Modeling the Usage of Scientific Online Resources.

Yongxiu Xu, Heyan Huang, Chong Feng, Chuan Zhou, Jiarui Zhang, Yue Hu

Proceedings of the International Joint Conference on Neural Networks, 2021

A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition.

Yongxiu Xu, Heyan Huang, Chong Feng, Yue Hu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021