Jing Ma

According to our database, Jing Ma authored at least 61 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare.

Shuai Niu, Jing Ma, Qing Yin, Liang Bai, Chen Li, Xian Yang

Ann. Oper. Res., October, 2024

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy.

Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang

Inf. Process. Manag., March, 2024

EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation.

Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Li Guo, Xian Yang

Inf. Fusion, February, 2024

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition.

Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Towards low-resource rumor detection: Unified contrastive transfer with propagation structure.

Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

Neurocomputing, 2024

Enhancing healthcare decision support through explainable AI models for risk prediction.

Shuai Niu, Qing Yin, Jing Ma, Yunya Song, Yida Xu, Liang Bai, Wei Pan, Xian Yang

Decis. Support Syst., 2024

CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?

Yuwei Zhao, Ziyang Luo, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, Jing Ma

CoRR, 2024

MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models.

Shengkang Wang, Hongzhan Lin, Ziyang Luo, Zhen Ye, Guang Chen, Jing Ma

CoRR, 2024

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

Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Jing Ma

CoRR, 2024

Cyclic Neural Network.

Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu

CoRR, 2024

GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse.

Hongzhan Lin, Ziyang Luo, Bo Wang, Ruichao Yang, Jing Ma

CoRR, 2024

Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom.

Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang

Proceedings of the ACM on Web Conference 2024, 2024

Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models.

Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang

Proceedings of the ACM on Web Conference 2024, 2024

WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework.

Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems.

Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Zhiyong Huang, Jing Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards Low-Resource Harmful Meme Detection with LMM Agents.

Jianzhao Huang, Hongzhan Lin, Ziyan Liu, Ziyang Luo, Guang Chen, Jing Ma

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models.

Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models.

Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning.

Jing Ma, Jun Li, Wei Gao, Yang Yang, Kam-Fai Wong

IEEE Trans. Knowl. Data Eng., March, 2023

Augmented Large Language Models with Parametric Knowledge Guiding.

Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

CoRR, 2023

A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection.

Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

CoRR, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang

CoRR, 2023

Graph-based Village Level Poverty Identification.

Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu

Proceedings of the ACM Web Conference 2023, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning.

Ziyang Luo, Zhipeng Hu, Yadong Xi, Rongsheng Zhang, Jing Ma

Proceedings of the IEEE International Conference on Acoustics, 2023

WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom.

Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models.

Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Graph-based Alignment and Uniformity for Recommendation.

Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning.

Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

I-Tuning: Tuning Language Models with Image for Caption Generation.

Ziyang Luo, Yadong Xi, Rongsheng Zhang, Jing Ma

CoRR, 2022

VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training.

Ziyang Luo, Yadong Xi, Rongsheng Zhang, Jing Ma

CoRR, 2022

A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning.

Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks.

Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning.

Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering.

Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang, Guang Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval.

Ziyang Luo, Yadong Xi, Rongsheng Zhang, GongZheng Li, Zeng Zhao, Jing Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.

Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.

Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Cross-lingual COVID-19 Fake News Detection.

Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu

Proceedings of the 2021 International Conference on Data Mining, 2021

Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks.

Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition.

Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering.

Zheng Wang, Lin Zuo, Jing Ma, Si Chen, Jingjing Li, Zhao Kang, Lei Zhang

World Wide Web, 2020

An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks.

Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong

ACM Trans. Intell. Syst. Technol., 2020

Discovering attractive segments in the user-generated video streams.

Zheng Wang, Jie Zhou, Jing Ma, Jingjing Li, Jiangbo Ai, Yang Yang

Inf. Process. Manag., 2020

Influential Nodes Identification in Complex Networks via Information Entropy.

Chungu Guo, Liangwei Yang, Xiao Chen, Duanbing Chen, Hui Gao, Jing Ma

Entropy, 2020

Review-guided Helpful Answer Identification in E-commerce.

Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Attention-based Multi-level Feature Fusion for Named Entity Recognition.

Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

AnswerFact: Fact Checking in Product Question Answering.

Wenxuan Zhang, Yang Deng, Jing Ma, Wai Lam

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Debunking Rumors on Twitter with Tree Transformer.

Jing Ma, Wei Gao

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning.

Jing Ma, Wei Gao, Kam-Fai Wong

Proceedings of the World Wide Web Conference, 2019

Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks.

Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Utilizing computational trust to identify rumor spreaders on Twitter.

Bhavtosh Rath, Wei Gao, Jing Ma, Jaideep Srivastava

Soc. Netw. Anal. Min., 2018

Detect Rumor and Stance Jointly by Neural Multi-task Learning.

Jing Ma, Wei Gao, Kam-Fai Wong

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Rumor Detection on Twitter with Tree-structured Recursive Neural Networks.

Jing Ma, Wei Gao, Kam-Fai Wong

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter.

Bhavtosh Rath, Wei Gao, Jing Ma, Jaideep Srivastava

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning.

Jing Ma, Wei Gao, Kam-Fai Wong

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Detecting Rumors from Microblogs with Recurrent Neural Networks.

Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, Meeyoung Cha

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015.

Xu Han, Binyang Li, Jing Ma, Yuxiao Zhang, Gaoyan Ou, Tengjiao Wang, Kam-Fai Wong

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Detect Rumors Using Time Series of Social Context Information on Microblogging Websites.

Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, Kam-Fai Wong

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015