中文信息

论文:

1. Robust Rumor Detection on Social Media with Dynamic Contrastive Learning. ICASSP 2026.

2. SWAM: adaptive Sliding Window and memory-augmented Attention Model for Rumor Detection. EMNLP 2025

3. FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media. ACL 2025

4. Multimodal Taylor Series Network for Misinformation Detection. ACM WebConf 2025

5. Enhancing Fake News Detection by Incorporating Evidence Credibility. IJCNN 2025

6. HealthBridge: A Cross-lingual Clustering Framework for English-Chinese Health News. ICIC 025

7. Towards Robust Evidence-Aware Fake News Detection via Improving Semantic Perception. COLING 2024

8. Density-Aware Prototypical Network for Few-Shot Relation Classification. EMNLP 2023

9. rT5: A Retrieval-Augmented Pre-Trained Model for Ancient Chinese Entity Description Generation. NLPCC 2023

10. Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. ACL 2023

11. From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment. ACL 2023

12. Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis. IEEE Transactions on Affective Computing (IEEE TAC), 2023, 卷号: 14, 期号: 4

13. Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation. EMNLP 2022

14. MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion. EMNLP 2022

15. Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances. COLING 2022

16. Improving Low-Resource Captioning via Multi-Objective Optimization. ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), 2022, 卷号: 18, 期号: 3

17. An Object-Extensible Training Framework for Image Captioning. NLPCC 2021

18. Language Resource Efficient Learning for Captioning. EMNLP 2021

19. Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification. EMNLP 2019

20. Improving Captioning for Low-Resource Languages by Cycle Consistency. ICME 2019

专利

1. 视觉问答模型的训练方法、答案生成方法及相关装置,中国,CN116127024B

2.一种社交媒体上的鲁棒性谣言检测方法中国, CN119357830B

3.一种基于滑动窗口的谣言检测方法, 中国, CN120068853B

4.基于动态图的谣言检测方法、系统、设备、产品及介质, 中国, CN120045715B

5.基于跨模态差异分类的错误信息检测方法和系统, 中国, CN120045945B

6.一种视觉语言模型的多模态通用对抗扰动方法, 中国, CN119397282B

7.上下文对抗触发器生成方法、系统、设备、产品及介质, 中国, CN119203935B

8.一种融合证据可信度的虚假新闻检测方法, 中国, CN116579337B

9.Mixup Image Captioning, 美国, US11334769B2

10.Adaptive Cycle Consistency Multimodal Image Captioning, 美国, US11651522B2

11.Denoising Autoencoder Image Captioning, 美国, US11763544B2


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