Publications

Research papers (journals, conferences, workshops)

2024

  • 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
    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
    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: Evaluating Multi-Modal Code Large Language Models with Visually Rich Programming Problems
    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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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.  

Before 2015