Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. - Hongzhan Lin 001; Jing Ma 004; Mingfei Cheng; Zhiwei Yang 005; Liangliang Chen; Guang Chen 003 (EMNLP (1), 2021)

Boosting Low-Resource Intent Detection with in-Scope Prototypical Networks. - Hongzhan Lin 001; Yuanmeng Yan; Guang Chen 003 (ICASSP, 2021)

TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training. - Haozhe Liu; Hongzhan Lin 001; Guang Chen 003 (PAKDD (2), 2021)

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. - Zhiwei Yang 005; Jing Ma 004; Hechang Chen; Hongzhan Lin 001; Ziyang Luo; Yi Chang 001 (COLING, 2022)

AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering. - Hongzhan Lin 001; Liangliang Chen; Jing Ma 004; Zhiwei Yang 005; Guang Chen 003 (IJCNN, 2022)

Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. - Hongzhan Lin 001; Jing Ma 004; Liangliang Chen; Zhiwei Yang 005; Mingfei Cheng; Guang Chen 003 (NAACL-HLT (Findings), 2022)

A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. - Ruichao Yang; Jing Ma 004; Hongzhan Lin 001; Wei Gao 001 (SIGIR, 2022)

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. - Hongzhan Lin 001; Pengyao Yi; Jing Ma 004; Haiyun Jiang; Ziyang Luo; Shuming Shi 001; Ruifang Liu (AAAI, 2023)

Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation. - Liangliang Chen; Hongzhan Lin 001; Jinshan Ma; Guang Chen 003 (ECAI, 2023)

Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. - Hongzhan Lin 001; Ziyang Luo; Jing Ma 004; Long Chen 016 (EMNLP (Findings), 2023)

WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom. - Ruichao Yang; Wei Gao 001; Jing Ma 004; Hongzhan Lin 001; Zhiwei Yang 005 (EMNLP, 2023)

A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection. - Hongzhan Lin 001; Jing Ma 004; Ruichao Yang; Zhiwei Yang 005; Mingfei Cheng (CoRR, 2023)

Semantic-consistent learning for one-shot joint entity and relation extraction. - Jinglei Li; Yajing Xu; Hongzhan Lin 001; Guang Chen 003; Bosen Zhang; Boya Ren (Appl. Intell., 2023)

CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. - Zixin Chen; Hongzhan Lin 001; Ziyang Luo; Mingfei Cheng; Jing Ma 004; Guang Chen 003 (ACL (1), 2024)

Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. - Ruichao Yang; Wei Gao 001; Jing Ma 004; Hongzhan Lin 001; Bo Wang 069 (ACL (Findings), 2024)

Towards Low-Resource Harmful Meme Detection with LMM Agents. - Jianzhao Huang; Hongzhan Lin 001; Ziyan Liu; Ziyang Luo; Guang Chen 003; Jing Ma 004 (EMNLP, 2024)

AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. - Ziyang Luo; Xin Li 056; Hongzhan Lin 001; Jing Ma 004; Lidong Bing (EMNLP, 2024)

Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. - Hongzhan Lin 001; Haiqin Yang; Ziyang Luo; Jing Ma 004 (ICASSP, 2024)

Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. - Hongzhan Lin 001; Ziyang Luo; Wei Gao 001; Jing Ma 004; Bo Wang 069; Ruichao Yang (WWW, 2024)

Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. - Bo Wang 069; Jing Ma 004; Hongzhan Lin 001; Zhiwei Yang 005; Ruichao Yang; Yuan Tian 016; Yi Chang 001 (WWW, 2024)

GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse. - Hongzhan Lin 001; Ziyang Luo; Bo Wang 069; Ruichao Yang; Jing Ma 004 (CoRR, 2024)

MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models. - Shengkang Wang; Hongzhan Lin 001; Ziyang Luo; Zhen Ye; Guang Chen 003; Jing Ma 004 (CoRR, 2024)

From General to Specific: Utilizing General Hallucination to Benchmark Specific Role-Playing Agents. - Chuyi Kong; Ziyang Luo; Hongzhan Lin 001; Zhiyuan Fan; Yaxin Fan; Yuxi Sun 011; Jing Ma 004 (CoRR, 2024)

Towards low-resource rumor detection: Unified contrastive transfer with propagation structure. - Hongzhan Lin 001; Jing Ma 004; Ruichao Yang; Zhiwei Yang 005; Mingfei Cheng (Neurocomputing, 2024)

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers. - Ruofei Wang; Hongzhan Lin 001; Ziyuan Luo; Ka Chun Cheung; Simon See; Jing Ma 004; Renjie Wan (AAAI, 2025)

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model. - Zhen Ye; Peiwen Sun; Jiahe Lei; Hongzhan Lin 001; Xu Tan 003; Zheqi Dai; Qiuqiang Kong; Jianyi Chen; Jiahao Pan; Qifeng Liu; Yike Guo; Wei Xue 002 (AAAI, 2025)

FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. - Hongzhan Lin 001; Yang Deng 002; Yuxuan Gu; Wenxuan Zhang 001; Jing Ma 004; See-Kiong Ng; Tat-Seng Chua (ACL (1), 2025)

AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness. - Zixin Chen; Hongzhan Lin 001; Kaixin Li; Ziyang Luo; Zhen Ye; Guang Chen 003; Zhiyong Huang; Jing Ma 004 (ACL (1), 2025)

SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs. - Chuyi Kong; Ziyang Luo; Hongzhan Lin 001; Zhiyuan Fan; Yaxin Fan; Yuxi Sun 011; Jing Ma 004 (ACL (Findings), 2025)

Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models. - Ziyang Luo; Kaixin Li; Hongzhan Lin 001; Yuchen Tian; Mohan S. Kankanhalli; Jing Ma 004 (ACL (1), 2025)

ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Wei Bi; Richard Yi Da Xu; Guo Li 002; Xian Yang 001 (ACL (Findings), 2025)

Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Richard Yi Da Xu; Yunya Song; Xian Yang 001 (ACL (1), 2025)

CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? - Yuwei Zhao; Ziyang Luo; Yuchen Tian; Hongzhan Lin 001; Weixiang Yan; Annan Li; Jing Ma 004 (COLING, 2025)

ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges. - Rao Fu; Ziyang Luo; Hongzhan Lin 001; Zhen Ye; Jing Ma 004 (NAACL (Short Papers), 2025)

Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis. - Zhen Ye; Xinfa Zhu; Chi-Min Chan; Xinsheng Wang; Xu Tan 003; Jiahe Lei; Yi Peng; Haohe Liu; Yizhu Jin; Zheqi Dai; Hongzhan Lin 001; Jianyi Chen; et al. (CoRR, 2025)

Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Wei Bi; Yida Xu; Guo Li 002; Xian Yang 001 (CoRR, 2025)

ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use. - Kaixin Li; Ziyang Meng; Hongzhan Lin 001; Ziyang Luo; Yuchen Tian; Jing Ma 004; Zhiyong Huang; Tat-Seng Chua (CoRR, 2025)

Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models. - Xiaoyan Zhao 005; Yang Deng 002; Wenjie Wang 007; Hongzhan Lin 001; Hong Cheng 001; Rui Zhang 003; See-Kiong Ng; Tat-Seng Chua (CoRR, 2025)

LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information. - Ruichao Yang; Jing Ma 004; Wei Gao 001; Hongzhan Lin 001 (ACM Trans. Intell. Syst. Technol., 2025)

AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? - Yuchen Tian; Kaixin Li; Hao Chen; Ziyang Luo; Hongzhan Lin 001; Sebastian Schelter; Lun Du; Jing Ma 004 (CoRR, 2025)