Jing Ma

Orcid: 0000-0002-7464-8331

Affiliations:
  • Hong Kong Baptist University, Hong Kong SAR, China
  • The Chinese University of Hong Kong, Hong Kong SAR, China


According to our database1, Jing Ma authored at least 34 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse.
CoRR, 2024

2023
Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning.
IEEE Trans. Knowl. Data Eng., March, 2023

A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection.
CoRR, 2023

I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning.
Proceedings of the IEEE International Conference on Acoustics, 2023

WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
I-Tuning: Tuning Language Models with Image for Caption Generation.
CoRR, 2022

VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training.
CoRR, 2022

A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning.
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.
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.
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.
Proceedings of the International Joint Conference on Neural Networks, 2022

Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval.
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.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition.
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.
World Wide Web, 2020

An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks.
ACM Trans. Intell. Syst. Technol., 2020

Discovering attractive segments in the user-generated video streams.
Inf. Process. Manag., 2020

Review-guided Helpful Answer Identification in E-commerce.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

AnswerFact: Fact Checking in Product Question Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Debunking Rumors on Twitter with Tree Transformer.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning.
Proceedings of the World Wide Web Conference, 2019

Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Utilizing computational trust to identify rumor spreaders on Twitter.
Soc. Netw. Anal. Min., 2018

Detect Rumor and Stance Jointly by Neural Multi-task Learning.
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.
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.
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.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Detecting Rumors from Microblogs with Recurrent Neural Networks.
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.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Detect Rumors Using Time Series of Social Context Information on Microblogging Websites.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015


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