Hongzhan Lin

According to our database, Hongzhan Lin authored at least 16 papers between 2021 and 2024.

Collaborative distances:

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

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

CoRR, 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

Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference.

Hongda Sun, Hongzhan Lin, Rui Yan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Semantic-consistent learning for one-shot joint entity and relation extraction.

Jinglei Li, Yajing Xu, Hongzhan Lin, Guang Chen, Bosen Zhang, Boya Ren

Appl. Intell., March, 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

Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models.

Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen

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

Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation.

Liangliang Chen, Hongzhan Lin, Jinshan Ma, Guang Chen

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning.

Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning.

Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering.

Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang, Guang Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.

Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang

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

2021

TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training.

Haozhe Liu, Hongzhan Lin, Guang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Boosting Low-Resource Intent Detection with in-Scope Prototypical Networks.

Hongzhan Lin, Yuanmeng Yan, Guang Chen

Proceedings of the IEEE International Conference on Acoustics, 2021

Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks.

Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021