Research
2025
ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges
Rao Fu, Ziyang Luo, Hongzhan Lin, Zhen Ye, Jing Ma
NAACL 2025: 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics.Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Ruofei Wang, Hongzhan Lin, Ziyuan Luo, Ka Chun Cheung, Simon See, Jing Ma, Renjie Wan
AAAI 2025: The 39th AAAI Conference on Artificial Intelligence (Oral).Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
Zhen Ye, Peiwen Sun, Jiahe Lei, Hongzhan Lin, Xu Tan, Zheqi Dai, Qiuqiang Kong, Jianyi Chen, Jiahao Pan, Qifeng Liu, Yike Guo, Wei Xue
AAAI 2025: The 39th AAAI Conference on Artificial Intelligence.CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
Yuwei Zhao, Ziyang Luo, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, Jing Ma
COLING 2025: The 31th International Conference on Computational Linguistics.LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information
Ruichao Yang, Jing Ma, Wei Gao, Hongzhan Lin
TIST: ACM Transactions on Intelligent Systems and Technology.GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
Hongzhan Lin, Ziyang Luo, Bo Wang, Ruichao Yang, Jing Ma
TIST: ACM Transactions on Intelligent Systems and Technology.
2024
Towards Low-Resource Harmful Meme Detection with LMM Agents
Jianzhao Huang, Hongzhan Lin*, Ziyan Liu, Ziyang Luo, Guang Chen, Jing Ma
EMNLP 2024: The 2024 Conference on Empirical Methods in Natural Language Processing.AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing
EMNLP 2024: The 2024 Conference on Empirical Methods in Natural Language Processing.Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang
WWW 2024: The ACM Web Conference 2024 (Oral).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
WWW 2024: The ACM Web Conference 2024.CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
Zixin Chen, Hongzhan Lin*, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
ACL 2024: The 62nd Annual Meeting of the Association for Computational Linguistics.Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang
ACL 2024: The 62nd Annual Meeting of the Association for Computational Linguistics (Findings).Unleashing Trigger-Free Event Detection: Revealing Event Correlations via A Contrastive Derangement Framework
Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma
ICASSP 2024: 2024 IEEE International Conference on Acoustics, Speech and Signal Processing.Towards low-resource rumor detection: Unified contrastive transfer with propagation structure
Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
Neurocomputing.
2023
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen
EMNLP 2023: The 2023 Conference on Empirical Methods in Natural Language Processing (Findings).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
EMNLP 2023: The 2023 Conference on Empirical Methods in Natural Language Processing (Oral).Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation
Liangliang Chen, Hongzhan Lin*, Jinshan Ma, Guang Chen
ECAI 2023: 26th European Conference on Artificial Intelligence (Oral).Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
AAAI 2023: The Thirty-Seventh AAAI Conference on Artificial Intelligence.Semantic-Consistent Learning for One-Shot Joint Entity and Relation Extraction
Jinglei Li, Yajing Xu, Hongzhan Lin, Guang Chen, Bosen Zhang, Boya Ren
Applied Intelligence.
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 and Yi Chang
COLING 2022: The 29th International Conference on Computational Linguistics.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
NAACL 2022: 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings).A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning
Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao
SIGIR 2022: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering
Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang and Guang Chen
IJCNN 2022: 2022 International Joint Conference on Neural Networks.
2021
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
EMNLP 2021: The 2021 Conference on Empirical Methods in Natural Language Processing.Boosting Low-Resource Intent Detection with in-Scope Prototypical Networks
Hongzhan Lin, Yuanmeng Yan, Guang Chen
ICASSP 2021: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing.TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training
Haozhe Liu, Hongzhan Lin, Guang Chen
PAKDD 2021: The Pacific-Asia Conference on Knowledge Discovery and Data Mining.