Ruichao Yang

According to our database, Ruichao Yang authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms.

Jinghao Luo, Yuchen Tian, Chuxue Cao, Ziyang Luo, Hongzhan Lin, Kaixin Li, Chuyi Kong, Ruichao Yang, Jing Ma

CoRR, May, 2026

A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM.

Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang

CoRR, April, 2026

Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection.

Ruichao Yang, Wei Gao, Xiaobin Zhu, Jing Ma, Hongzhan Lin, Ziyang Luo, Bo-Wen Zhang, Xu-Cheng Yin

CoRR, March, 2026

ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models.

Hongzhan Lin, Wei Gao, Jing Ma, Yang Deng, Ziyang Luo, Bo Wang, Ruichao Yang, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., February, 2026

2025

LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information.

Ruichao Yang, Jing Ma, Wei Gao, Hongzhan Lin

ACM Trans. Intell. Syst. Technol., June, 2025

Graph-Enhanced Deep Learning With Character Similarity Mining for Automated NOTAM Correction in Aviation Systems.

Bin Dong, Haoran Yao, Chuang Luo, Ruichao Yang, Ziyue Wang

IEEE Access, 2025

2024

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy.

Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang

Inf. Process. Manag., March, 2024

Towards low-resource rumor detection: Unified contrastive transfer with propagation structure.

Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

Neurocomputing, 2024

GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse.

Hongzhan Lin, Ziyang Luo, Bo Wang, Ruichao Yang, Jing Ma

CoRR, 2024

Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom.

Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang

Proceedings of the ACM on Web Conference 2024, 2024

Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models.

Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang

Proceedings of the ACM on Web Conference 2024, 2024

Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models.

Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection.

Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

CoRR, 2023

WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom.

Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning.

Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Reinforcement Subgraph Reasoning for Fake News Detection.

Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Fine-Grained Reasoning for Fake News Detection.

Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022