Publications
Research papers (journals, conferences, workshops)
2025
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Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models
Ziyang Luo, Kaixin Li, Hongzhan Lin, Yuchen Tian, Mohan Kankanhalli, Jing Ma*
ACL 2025: The 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025, Vienna, Austria. -
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
ACL 2025: The 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025, Vienna, Austria. -
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Meme Harmfulness
Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye, Guang Chen, Zhiyong Huang, Jing Ma*
ACL 2025: The 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025, Vienna, Austria. -
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
ACL 2025: The 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025, Vienna, Austria. -
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents
Chuyi Kong, Ziyang Luo, Hongzhan Lin, Zhiyuan Fan, Yaxin Fan, Yuxi SUN, Jing Ma*
ACL 2025: The 63rd Annual Meeting of the Association for Computational Linguistics (Findings), Jul 2025, Vienna, Austria. -
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
ACL 2025: The 63rd Annual Meeting of the Association for Computational Linguistics (Findings), Jul 2025, Vienna, Austria. -
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
Yuxi SUN, Aoqi Zuo, Wei Gao, Jing Ma*
ACL 2025: The 63rd Annual Meeting of the Association for Computational Linguistics (Findings), Jul 2025, Vienna, Austria. -
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 [PDF]
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 [PDF]
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.