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ORCIDJing Ma 0004
Person information
- affiliation: Hong Kong Baptist University, Hong Kong SAR, China
- affiliation: The Chinese University of Hong Kong, Hong Kong SAR, China
Other persons with the same name
- Jing Ma — disambiguation page
- Jing Ma 0001
![[0000-0002-3979-0279]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3979-0279")
— Heilongjiang University, School of Mathematics Science, Harbin, China - Jing Ma 0002 — University of Virginia, VA, USA (and 1 more)
- Jing Ma 0003 — Harbin Institute of Technology, National Key Laboratory of Tunable Laser Technology, China
- Jing Ma 0005 — Emory University, Atlanta, GA, USA
- Jing Ma 0006 — MathWorks, Inc., Natick, MA, USA (and 2 more)
- Jing Ma 0007 — Nanjing University of Aeronautics and Astronautics, College of Economics and Management, Nanjing, China
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2020 – today
- 2024
[j12]Shuai Niu, Jing Ma, Qing Yin, Liang Bai, Chen Li, Xian Yang:
A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare. Ann. Oper. Res. 341(1): 647-672 (2024)- [j11]Shuai Niu, Qing Yin, Jing Ma, Yunya Song, Yida Xu, Liang Bai, Wei Pan, Xian Yang:
Enhancing healthcare decision support through explainable AI models for risk prediction. Decis. Support Syst. 181: 114228 (2024) - [j10]Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng:
Towards low-resource rumor detection: Unified contrastive transfer with propagation structure. Neurocomputing 578: 127438 (2024) - [j9]Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Li Guo, Xian Yang:
EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation. Inf. Fusion 102: 102069 (2024) - [j8]Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang:
CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy. Inf. Process. Manag. 61(2): 103657 (2024) - [j7]Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang:
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(1): 973-984 (2024) - [c36]Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen:
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. ACL (1) 2024: 9663-9687 - [c35]Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang:
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. ACL (Findings) 2024: 13423-13439 - [c34]Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma:
Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. ICASSP 2024: 10171-10175 - [c33]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. ICLR 2024 - [c32]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: 2359-2370 - [c31]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: 2452-2463 - [i28]Hongzhan Lin, Ziyang Luo, Bo Wang, Ruichao Yang, Jing Ma:
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse. CoRR abs/2401.01523 (2024) - [i27]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 abs/2401.13298 (2024) - [i26]Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu:
Cyclic Neural Network. CoRR abs/2402.03332 (2024) - [i25]Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Jing Ma:
MMCode: Evaluating Multi-Modal Code Large Language Models with Visually Rich Programming Problems. CoRR abs/2404.09486 (2024) - [i24]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 abs/2405.00390 (2024) - [i23]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 abs/2405.03371 (2024) - [i22]Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang:
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. CoRR abs/2406.02143 (2024) - [i21]Shengkang Wang, Hongzhan Lin, Ziyang Luo, Zhen Ye, Guang Chen, Jing Ma:
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models. CoRR abs/2406.11288 (2024) - [i20]Yuwei Zhao, Ziyang Luo, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, Jing Ma:
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? CoRR abs/2408.10718 (2024) - 2023
- [j6]Jing Ma, Jun Li, Wei Gao, Yang Yang, Kam-Fai Wong:
Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning. IEEE Trans. Knowl. Data Eng. 35(3): 2657-2670 (2023) - [c30]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: 5213-5221 - [c29]Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. CIKM 2023: 4395-4399 - [c28]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: 1525-1538 - [c27]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: 9114-9128 - [c26]Ziyang Luo, Zhipeng Hu, Yadong Xi, Rongsheng Zhang, Jing Ma:
I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning. ICASSP 2023: 1-5 - [c25]Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. ICCV 2023: 11172-11183 - [c24]Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu:
Graph-based Village Level Poverty Identification. WWW 2023: 4115-4119 - [i19]Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang:
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. CoRR abs/2302.02908 (2023) - [i18]Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu:
Graph-based Village Level Poverty Identification. CoRR abs/2302.06862 (2023) - [i17]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 abs/2304.01492 (2023) - [i16]Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
Augmented Large Language Models with Parametric Knowledge Guiding. CoRR abs/2305.04757 (2023) - [i15]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. CoRR abs/2306.08568 (2023) - [i14]Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. CoRR abs/2308.09292 (2023) - [i13]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 abs/2310.16579 (2023) - [i12]Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen:
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. CoRR abs/2312.05434 (2023) - 2022
- [c23]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: 2608-2621 - [c22]Ziyang Luo, Yadong Xi, Rongsheng Zhang, GongZheng Li, Zeng Zhao, Jing Ma:
Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval. EMNLP (Findings) 2022: 130-140 - [c21]Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang, Guang Chen:
AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering. IJCNN 2022: 1-8 - [c20]Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang:
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks. NAACL-HLT (Findings) 2022: 1185-1197 - [c19]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: 2543-2556 - [c18]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: 1761-1772 - [i11]Ziyang Luo, Yadong Xi, Rongsheng Zhang, Jing Ma:
VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training. CoRR abs/2201.12723 (2022) - [i10]Ziyang Luo, Yadong Xi, Rongsheng Zhang, Jing Ma:
I-Tuning: Tuning Language Models with Image for Caption Generation. CoRR abs/2202.06574 (2022) - [i9]Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao:
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. CoRR abs/2204.02626 (2022) - [i8]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 abs/2204.08143 (2022) - [i7]Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang:
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks. CoRR abs/2204.08688 (2022) - [i6]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 abs/2209.14642 (2022) - [i5]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 abs/2212.01117 (2022) - 2021
- [c17]Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang:
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. EMNLP (Findings) 2021: 124-132 - [c16]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: 10035-10047 - [c15]Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu:
Cross-lingual COVID-19 Fake News Detection. ICDM (Workshops) 2021: 859-862 - [c14]Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu:
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. SIGIR 2021: 2141-2145 - [i4]Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu:
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. CoRR abs/2105.02254 (2021) - [i3]Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen:
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. CoRR abs/2110.04522 (2021) - [i2]Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu:
Cross-lingual COVID-19 Fake News Detection. CoRR abs/2110.06495 (2021) - 2020
- [j5]Chungu Guo, Liangwei Yang, Xiao Chen, Duanbing Chen, Hui Gao, Jing Ma:
Influential Nodes Identification in Complex Networks via Information Entropy. Entropy 22(2): 242 (2020) - [j4]Zheng Wang, Jie Zhou, Jing Ma, Jingjing Li, Jiangbo Ai, Yang Yang:
Discovering attractive segments in the user-generated video streams. Inf. Process. Manag. 57(1) (2020) - [j3]Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong:
An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks. ACM Trans. Intell. Syst. Technol. 11(4): 42:1-42:28 (2020) - [j2]Zheng Wang, Lin Zuo, Jing Ma, Si Chen, Jingjing Li, Zhao Kang, Lei Zhang:
Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering. World Wide Web 23(3): 2107-2127 (2020) - [c13]Jing Ma, Wei Gao:
Debunking Rumors on Twitter with Tree Transformer. COLING 2020: 5455-5466 - [c12]Wenxuan Zhang, Yang Deng, Jing Ma, Wai Lam:
AnswerFact: Fact Checking in Product Question Answering. EMNLP (1) 2020: 2407-2417 - [c11]Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang:
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI 2020: 3594-3600 - [c10]Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma:
Review-guided Helpful Answer Identification in E-commerce. WWW 2020: 2620-2626 - [i1]Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma:
Review-guided Helpful Answer Identification in E-commerce. CoRR abs/2003.06209 (2020)
2010 – 2019
- 2019
- [c9]Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong:
Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks. ACL (1) 2019: 2561-2571 - [c8]Jing Ma, Wei Gao, Kam-Fai Wong:
Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning. WWW 2019: 3049-3055 - 2018
- [j1]Bhavtosh Rath, Wei Gao, Jing Ma, Jaideep Srivastava:
Utilizing computational trust to identify rumor spreaders on Twitter. Soc. Netw. Anal. Min. 8(1): 64:1-64:16 (2018) - [c7]Jing Ma, Wei Gao, Kam-Fai Wong:
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks. ACL (1) 2018: 1980-1989 - [c6]Jing Ma, Wei Gao, Kam-Fai Wong:
Detect Rumor and Stance Jointly by Neural Multi-task Learning. WWW (Companion Volume) 2018: 585-593 - 2017
- [c5]Jing Ma, Wei Gao, Kam-Fai Wong:
Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning. ACL (1) 2017: 708-717 - [c4]Bhavtosh Rath, Wei Gao, Jing Ma, Jaideep Srivastava:
From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter. ASONAM 2017: 179-186 - 2016
- [c3]Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, Meeyoung Cha:
Detecting Rumors from Microblogs with Recurrent Neural Networks. IJCAI 2016: 3818-3824 - 2015
- [c2]Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, Kam-Fai Wong:
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites. CIKM 2015: 1751-1754 - [c1]Xu Han, Binyang Li, Jing Ma, Yuxiao Zhang, Gaoyan Ou, Tengjiao Wang, Kam-Fai Wong:
UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015. SemEval@NAACL-HLT 2015: 664-668
Coauthor Index
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