Publications
Research papers (journals, conferences, workshops)
2025
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VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan Kankanhalli, Junnan Li
CVPR 2025: The IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2025, Nashville TN. -
LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information [PDF]
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. -
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 North American Chapter of the Association for Computational Linguistics, April, New Mexico. -
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Ruo F Wang, Hongzhan Lin, Ziyuan Luo, Ka Chun Cheung, Simon See, Jing Ma, Renjie Wan
AAAI 2025: The 39th AAAI Conference on Artificial Intelligence, Feb 2025, Philadelphia, Pennsylvania, USA. -
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? [PDF]
Yuwei Zhao, Ziyang Luo, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, Jing Ma
COLING 2025: The 31th International Conference on Computational Linguistics, Jan 2025, Abu Dhabi, UAE. -
Scientific poster generation: A new dataset and approach [PDF]
Xinyi Zhong, Zusheng Tan, Jing Li, Shen Gao, Jing Ma, Shanshan Feng, Billy Chiu
Pattern Recognition.
2024
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AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation [PDF]
Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing
EMNLP 2024: The 2024 Conference on Empirical Methods in Natural Language Processing, Nov 2024, Miami, Florida. -
Towards Low-Resource Harmful Meme Detection with LMM Agents [PDF]
Jianzhao Huang, Hongzhan Lin, ZiyanLiu, Ziyang Luo, Guang Chen, Jing Ma
EMNLP 2024: The 2024 Conference on Empirical Methods in Natural Language Processing, Nov 2024, Miami, Florida. -
MMCode: Benchmarking Multimodal Large Language Models in Code Generation with Visually Rich Programming Problems [PDF]
Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Zhiyong Huang, Jing Ma
EMNLP 2024: The 2024 Conference on Empirical Methods in Natural Language Processing (Findings), Nov 2024, Miami, Florida. -
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models [PDF] [CODE]
Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
ACL 2024: The 62nd Annual Meeting of the Association for Computational Linguistics, Aug 2024, Bangkok, Thailand. -
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models [PDF] [CODE]
Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang
ACL 2024: The 62nd Annual Meeting of the Association for Computational Linguistics (Findings), Aug 2024, Bangkok, Thailand. -
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models [PDF] [CODE]
Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang
WWW 2024: The Web Conference 2024, May 2024, Singapore. -
Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom [PDF] [CODE]
Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
WWW 2024: The Web Conference 2024, May 2024, Singapore. -
WizardCoder: Empowering Code Large Language Models with Evol-Instruct [PDF]
Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma*, Qingwei Lin, Daxin Jiang
ICLR 2024: The Twelfth International Conference on Learning Representations, May 2024, Vienna, Austria. -
Unleashing Trigger-Free Event Detection: Revealing Event Correlations via A Contrastive Derangement Framework [PDF]
Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma
ICASSP 2024: 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2024, Seoul, Korea. -
Towards low-resource rumor detection: Unified contrastive transfer with propagation structure [PDF]
Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
Neurocomputing. -
CoTea: Collaborative Teaching for Low-resource Named Entity Recognition with A Divide-and-conquer Strategy [PDF]
Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang and Yi Chang
Information Processing and Management. -
A deep clustering-based state-spacemodel for improved disease risk prediction in personalized healthcare [PDF]
Shuai Niu, Jing Ma, Qing Yin, Liang Bai, Chen Li and Xian Yang
Annals of Operations Research.
2023
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WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom [PDF] [CODE]
Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang
EMNLP 2023: The 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023, Singapore. -
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models [PDF] [CODE]
Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen
EMNLP 2023: The 2023 Conference on Empirical Methods in Natural Language Processing (Findings), Dec 2023, Singapore. -
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning [PDF] [DATA] [CODE]
Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
AAAI 2023: The Thirty-Seventh AAAI Conference on Artificial Intelligence, Feb 2023, Washington DC. -
I-TUNING: Tuning Frozen Language Models with Image for Lightweight Image Captioning [PDF]
Ziyang Luo, Zhipeng Hu, Yadong Xi, Rongsheng Zhang, Jing Ma
ICASSP 2023: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Greece. -
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval [PDF] [CODE]
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang
ICCV 2023: International Conference on Computer Vision 2023, Oct 2023, Paris. -
EHR-KnowGen: Knowledge-enhanced Multimodal Learning for Disease Diagnosis Generation [PDF]
Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Guo Li, Xian Yang
Information Fusion.
2022
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Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval [PDF]
Ziyang Luo, Yadong Xi, Rongsheng Zhang, Gongzheng Li, Zeng Zhao, Jing Ma
EMNLP 2022: The 2022 Conference on Empirical Methods in Natural Language Processing (Findings), Dec 2022, Abu. -
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection [PDF] [DATA]
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo and Yi Chang
COLING 2022: The 29th International Conference on Computational Linguistics, Oct 2022, Gyeongju. -
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks [PDF]
Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang
NAACL 2022: 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings), Jul 2022, Seattle. -
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning [PDF] [DATA]
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), Jul 2022, Seattle. -
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning [PDF]
Ruichao Yang, Jing Ma, Hongzhan Lin and Wei Gao
SIGIR 2022: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2022, Madrid. -
AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering [PDF]
Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang and Guang Chen
IJCNN 2022: 2022 International Joint Conference on Neural Networks, Jul 2022, Padua, Italy. -
Context-aware Attentive Multi-level Feature Fusion for Named Entity Recognition [PDF]
Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang and Yi Chang
TNNLS: IEEE Transactions on Neural Networks and Learning Systems.
2021
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Improving Rumor Detection by Promoting Information Campaigns with Transformer-based Generative Adversarial Learning [PDF]
Jing Ma, Jun Li, Wei Gao, Yang Yang, and Kam-Fai Wong
TKDE: The IEEE Transactions on Knowledge and Data Engineering. -
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks [PDF]
Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen and Guang Chen
EMNLP 2021: The 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, online. -
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition [PDF]
Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang and Yi Chang
EMNLP 2021: The 2021 Conference on Empirical Methods in Natural Language Processing (Findings), Nov 2021. -
Cross-lingual COVID-19 Fake News Detection [PDF]
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, and Philip Yu
SDM 2021: The First IEEE International Workshop on Social Data Mining in the Post-pandemic Era @ ICDM 2021.
2020
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Debunking Rumors on Twitter with Tree Transformer [PDF]
Jing Ma and Wei Gao
COLING 2020: The 28th International Conference on Computational Linguistics, Dec 2020, online. -
AnswerFact: Fact Checking in Product Question Answering [PDF]
Wenxuan Zhang, Yang Deng, Jing Ma and Wai Lam
EMNLP 2020: The 2020 Conference on Empirical Methods in Natural Language Processing, Nov 2020, online. -
Attention-based Multi-level Feature Fusion for Named Entity Recognition [PDF]
Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma and Yi Chang
IJCAI 2020: The 29th International Joint Conference on Artificial Intelligence, July 2020, Yokohama, Japan. -
An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks [PDF]
Jing Ma, Wei Gao, Shafiq Joty, and Kam-Fai Wong
TIST: ACM Transactions on Intelligent Systems and Technology, pages 1-28. -
Review-guided Helpful Answer Identification in E-commerce [PDF]
Wenxuan Zhang, Wai Lam, Yang Deng and Jing Ma
WWW 2020: The Web Conference 2020, April 2020, Taipei.
2019
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Sentence-Level Evidence Embedding for End-to-End Claim Verification with Hierarchical Attention Networks [PDF]
Jing Ma, Wei Gao, Shafiq Joty, and Kam-Fai Wong
ACL 2019: The 57th Annual Meeting of the Association for Computational Linguistics, July 2019, Florence, Italy. -
Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning [PDF] [CODE]
Jing Ma, Wei Gao, and Kam-Fai Wong
WWW 2019: The Web Conference 2019, May 2019, San Francisco, USA.
2018
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Utilizing Computational Trust to Identify Rumor Spreaders on Twitter [PDF]
Bhavtosh Rath, Wei Gao, Jing Ma, and Jaideep Srivastava
SNAM: Social Network Analysis and Mining, 8:64, December 2018, Springer -
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks [PDF] [CODE]
Jing Ma, Wei Gao, and Kam-Fai Wong
ACL 2018: The 56th Annual Meeting of the Association for Computational Linguistics, July 2018, Melbourne, Australia. -
Detect Rumor and Stance Jointly by Neural Multi-task Learning [PDF]
Jing Ma, Wei Gao, and Kam-Fai Wong
WWW 2018 Companion: The Web Conference 2018 Companion (Alternate Track on Journalism, MisInformation, and Fact-checking), April 2018, Lyon, France.
2017
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Detect Rumors in Microblog Posts Using Propagation via Kernel Learning [PDF] [DATA]
Jing Ma, Wei Gao, and Kam-Fai Wong
ACL 2017: The 55th Annual Meeting of the Association for Computational Linguistics, July 2017, Vancouver, Canada. -
From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter [PDF]
Bhavtosh Rath, Wei Gao, Jing Ma, and Jaideep Srivastava
ASONAM 2017: The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, August 2017, Sydney, Australia.
2016
- Detecting Rumors from Microblogs with Recurrent Neural Networks [PDF] [DATA]
Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, and Meeyoung Cha
IJCAI 2016: The 25th International Joint Conference on Artificial Intelligence, July 2016, New York, USA.
2015
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Detect Rumors Using Time Series of Social Context Information on Microblogging Websites [PDF]
Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, and Kam-Fai Wong
CIKM 2015: The 24th ACM International Conference on Information and Knowledge Management, October 2015, Melbourne, Australia. -
UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015 [PDF]
Xu Han, Binyang Li, Jing Ma, Yuxiao Zhang, Gaoyan Ou, Tengjiao Wang, Kam-fai Wong
SemEval 2015: The 9th International Workshop on Semantic Evaluation, May 2015, Denver, Colorado, USA.