Hongzhan Lin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 34

Top Topics

Multiple Instance Learning

Context Awareness

Top Venues

Publications

Shengkang Wang, Hongzhan Lin, Ziyang Luo, Zhen Ye, Guang Chen, Jing Ma
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models. CoRR (2024)
Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. WWW (2024)
Hongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song, Hengshu Zhu, Rui Yan
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness. CoRR (2024)
Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. WWW (2024)
Hongzhan Lin, Ziyang Luo, Bo Wang, Ruichao Yang, Jing Ma
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse. CoRR (2024)
Hongda Sun, Hongzhan Lin, Haiyu Yan, Chen Zhu, Yang Song, Xin Gao, Shuo Shang, Rui Yan
Facilitating Multi-Role and Multi-Behavior Collaboration of Large Language Models for Online Job Seeking and Recruiting. CoRR (2024)
Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. CoRR (2024)
Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. CoRR (2024)
Hongzhan Lin, Zixin Chen, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. CoRR (2024)
Hongda Sun, Hongzhan Lin, Rui Yan
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference. AAAI (2024)
Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
Towards low-resource rumor detection: Unified contrastive transfer with propagation structure. Neurocomputing 578 (2024)
Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom. CoRR (2024)
Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang
WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom. CoRR (2023)
Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. EMNLP (Findings) (2023)
Liangliang Chen, Hongzhan Lin, Jinshan Ma, Guang Chen
Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation. CoRR (2023)
Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection. CoRR (2023)
Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. AAAI (2023)
Jinglei Li, Yajing Xu, Hongzhan Lin, Guang Chen, Bosen Zhang, Boya Ren
Semantic-consistent learning for one-shot joint entity and relation extraction. Appl. Intell. 53 (5) (2023)
Hongda Sun, Hongzhan Lin, Rui Yan
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference. CoRR (2023)
Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang
WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom. EMNLP (2023)
Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. CoRR (2023)
Liangliang Chen, Hongzhan Lin, Jinshan Ma, Guang Chen
Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation. ECAI (2023)
Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. SIGIR (2022)
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. CoRR (2022)
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. COLING (2022)
Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. NAACL-HLT (Findings) (2022)
Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. CoRR (2022)
Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. CoRR (2022)
Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang, Guang Chen
AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering. IJCNN (2022)
Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. CoRR (2022)
Haozhe Liu, Hongzhan Lin, Guang Chen
TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training. PAKDD (2) (2021)
Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. CoRR (2021)
Hongzhan Lin, Yuanmeng Yan, Guang Chen
Boosting Low-Resource Intent Detection with in-Scope Prototypical Networks. ICASSP (2021)
Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. EMNLP (1) (2021)