| 2026 | ACL | DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs. | Shidong Cao, Hongzhan Lin, Yuxuan Gu, Ziyang Luo, Jing Ma |
| 2026 | ACL | REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control. | Chuyi Kong, Wei Gao, Jing Ma, Hongzhan Lin, Yuxi Sun |
| 2026 | ACL | 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 |
| 2026 | ACL | Dialectical Structured Reasoning for Explainable Multimodal Fake News Detection. | Ruichao Yang, Yufan Bian, Wei Gao, Bowen Zhang, Jing Ma, Hongzhan Lin, Ziyang Luo, Xiaobin Zhu, Xucheng Yin |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | ACL | FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. | Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua |
| 2025 | ACL | AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness. | Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye, Guang Chen, Zhiyong Huang, Jing Ma |
| 2025 | ACL | SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs. | Chuyi Kong, Ziyang Luo, Hongzhan Lin, Zhiyuan Fan, Yaxin Fan, Yuxi Sun, Jing Ma |
| 2025 | ACL | Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models. | Ziyang Luo, Kaixin Li, Hongzhan Lin, Yuchen Tian, Mohan S. Kankanhalli, Jing Ma |
| 2025 | ACL | ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. | Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Richard Yi Da Xu, Guo Li, Xian Yang |
| 2025 | ACL | Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models. | Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Richard Yi Da Xu, Yunya Song, Xian Yang |
| 2025 | COLING | 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 |
| 2025 | EMNLP | MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models. | Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Yayue Deng, Jing Ma |
| 2025 | EMNLP | MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique. | Gailun Zeng, Ziyang Luo, Hongzhan Lin, Yuchen Tian, Kaixin Li, Ziyang Gong, Jianxiong Guo, Jing Ma |
| 2025 | IJCNLP | Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms. | Yuxi Sun, Wei Gao, Hongzhan Lin, Jing Ma, Wenxuan Zhang |
| 2025 | KDD | MockLLM: A Multi-Agent Behavior Collaboration Framework for Online Job Seeking and Recruiting. | Hongda Sun, Hongzhan Lin, Haiyu Yan, Yang Song, Xin Gao, Rui Yan |
| 2025 | NAACL | 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 |
| 2025 | WWW | Untitled record | Tao Tan, Yining Qian, Ang Lv, Hongzhan Lin, Songhao Wu, Yongbo Wang, Feng Wang, Jingtong Wu, Xin Lu, Rui Yan |
| 2024 | AAAI | Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference. | Hongda Sun, Hongzhan Lin, Rui Yan |
| 2024 | ACL | 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 |
| 2024 | ACL | Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. | Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang |
| 2024 | EMNLP | Towards Low-Resource Harmful Meme Detection with LMM Agents. | Jianzhao Huang, Hongzhan Lin, Ziyan Liu, Ziyang Luo, Guang Chen, Jing Ma |
| 2024 | EMNLP | 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 |
| 2024 | ICASSP | Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. | Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma |
| 2024 | WWW | Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. | Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang |
| 2024 | WWW | 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 |
| 2023 | AAAI | Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. | Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu |
| 2023 | ECAI | Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation. | Liangliang Chen, Hongzhan Lin, Jinshan Ma, Guang Chen |
| 2023 | EMNLP | Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. | Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen |
| 2023 | EMNLP | 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 |
| 2022 | COLING | 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 |
| 2022 | IJCNN | AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering. | Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang, Guang Chen |
| 2022 | NAACL | 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 |
| 2022 | SIGIR | A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. | Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao |
| 2021 | EMNLP | Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. | Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen |
| 2021 | ICASSP | Boosting Low-Resource Intent Detection with in-Scope Prototypical Networks. | Hongzhan Lin, Yuanmeng Yan, Guang Chen |
| 2021 | PAKDD | TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training. | Haozhe Liu, Hongzhan Lin, Guang Chen |