Detect Rumors Using Time Series of Social Context Information on Microblogging Websites. - Jing Ma 004; Wei Gao 001; Zhongyu Wei; Yueming Lu; Kam-Fai Wong (CIKM, 2015)

UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015. - Xu Han; Binyang Li; Jing Ma 004; Yuxiao Zhang; Gaoyan Ou; Tengjiao Wang 003; Kam-Fai Wong (SemEval@NAACL-HLT, 2015)

Detecting Rumors from Microblogs with Recurrent Neural Networks. - Jing Ma 004; Wei Gao 001; Prasenjit Mitra; Sejeong Kwon; Bernard J. Jansen; Kam-Fai Wong; Meeyoung Cha (IJCAI, 2016)

Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning. - Jing Ma 004; Wei Gao 001; Kam-Fai Wong (ACL (1), 2017)

From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter. - Bhavtosh Rath; Wei Gao 001; Jing Ma 004; Jaideep Srivastava (ASONAM, 2017)

Rumor Detection on Twitter with Tree-structured Recursive Neural Networks. - Jing Ma 004; Wei Gao 001; Kam-Fai Wong (ACL (1), 2018)

Detect Rumor and Stance Jointly by Neural Multi-task Learning. - Jing Ma 004; Wei Gao 001; Kam-Fai Wong (WWW (Companion Volume), 2018)

Utilizing computational trust to identify rumor spreaders on Twitter. - Bhavtosh Rath; Wei Gao 001; Jing Ma 004; Jaideep Srivastava (Soc. Netw. Anal. Min., 2018)

Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks. - Jing Ma 004; Wei Gao 001; Shafiq R. Joty; Kam-Fai Wong (ACL (1), 2019)

Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning. - Jing Ma 004; Wei Gao 001; Kam-Fai Wong (WWW, 2019)

Debunking Rumors on Twitter with Tree Transformer. - Jing Ma 004; Wei Gao 001 (COLING, 2020)

AnswerFact: Fact Checking in Product Question Answering. - Wenxuan Zhang 001; Yang Deng 002; Jing Ma 004; Wai Lam (EMNLP (1), 2020)

Attention-based Multi-level Feature Fusion for Named Entity Recognition. - Zhiwei Yang 005; Hechang Chen; Jiawei Zhang 001; Jing Ma 004; Yi Chang 001 (IJCAI, 2020)

Review-guided Helpful Answer Identification in E-commerce. - Wenxuan Zhang 001; Wai Lam; Yang Deng 002; Jing Ma 004 (WWW, 2020)

Influential Nodes Identification in Complex Networks via Information Entropy. - Chungu Guo; Liangwei Yang; Xiao Chen; Duanbing Chen; Hui Gao; Jing Ma 004 (Entropy, 2020)

Discovering attractive segments in the user-generated video streams. - Zheng Wang 044; Jie Zhou 001; Jing Ma 004; Jingjing Li 001; Jiangbo Ai; Yang Yang 002 (Inf. Process. Manag., 2020)

An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks. - Jing Ma 004; Wei Gao 001; Shafiq R. Joty; Kam-Fai Wong (ACM Trans. Intell. Syst. Technol., 2020)

Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering. - Zheng Wang 044; Lin Zuo; Jing Ma 004; Si Chen; Jingjing Li 001; Zhao Kang 001; Lei Zhang (World Wide Web, 2020)

HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. - Zhiwei Yang 005; Jing Ma 004; Hechang Chen; Yunke Zhang; Yi Chang 001 (EMNLP (Findings), 2021)

Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. - Hongzhan Lin 001; Jing Ma 004; Mingfei Cheng; Zhiwei Yang 005; Liangliang Chen; Guang Chen 003 (EMNLP (1), 2021)

Cross-lingual COVID-19 Fake News Detection. - Jiangshu Du; Yingtong Dou; Congying Xia; Limeng Cui; Jing Ma 004; Philip S. Yu (ICDM (Workshops), 2021)

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. - Liangwei Yang; Zhiwei Liu 001; Yingtong Dou; Jing Ma 004; Philip S. Yu (SIGIR, 2021)

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. - Zhiwei Yang 005; Jing Ma 004; Hechang Chen; Hongzhan Lin 001; Ziyang Luo; Yi Chang 001 (COLING, 2022)

Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval. - Ziyang Luo; Yadong Xi; Rongsheng Zhang; GongZheng Li; Zeng Zhao; Jing Ma 004 (EMNLP (Findings), 2022)

AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering. - Hongzhan Lin 001; Liangliang Chen; Jing Ma 004; Zhiwei Yang 005; Guang Chen 003 (IJCNN, 2022)

Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. - Hongzhan Lin 001; Jing Ma 004; Liangliang Chen; Zhiwei Yang 005; Mingfei Cheng; Guang Chen 003 (NAACL-HLT (Findings), 2022)

DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks. - Ziyang Luo; Yadong Xi; Jing Ma 004; Zhiwei Yang 005; Xiaoxi Mao; Changjie Fan; Rongsheng Zhang (NAACL-HLT (Findings), 2022)

A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. - Ruichao Yang; Jing Ma 004; Hongzhan Lin 001; Wei Gao 001 (SIGIR, 2022)

VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training. - Ziyang Luo; Yadong Xi; Rongsheng Zhang; Jing Ma 004 (CoRR, 2022)

I-Tuning: Tuning Language Models with Image for Caption Generation. - Ziyang Luo; Yadong Xi; Rongsheng Zhang; Jing Ma 004 (CoRR, 2022)

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. - Hongzhan Lin 001; Pengyao Yi; Jing Ma 004; Haiyun Jiang; Ziyang Luo; Shuming Shi 001; Ruifang Liu (AAAI, 2023)

Graph-based Alignment and Uniformity for Recommendation. - Liangwei Yang; Zhiwei Liu 001; Chen Wang 052; Mingdai Yang; Xiaolong Liu; Jing Ma 004; Philip S. Yu (CIKM, 2023)

Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. - Hongzhan Lin 001; Ziyang Luo; Jing Ma 004; Long Chen 016 (EMNLP (Findings), 2023)

WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom. - Ruichao Yang; Wei Gao 001; Jing Ma 004; Hongzhan Lin 001; Zhiwei Yang 005 (EMNLP, 2023)

I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning. - Ziyang Luo; Zhipeng Hu; Yadong Xi; Rongsheng Zhang; Jing Ma 004 (ICASSP, 2023)

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. - Ziyang Luo; Pu Zhao 004; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (ICCV, 2023)

Graph-based Village Level Poverty Identification. - Jing Ma 004; Liangwei Yang; Qiong Feng; Weizhi Zhang 001; Philip S. Yu (WWW, 2023)

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. - Ziyang Luo; Pu Zhao 004; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Jing Ma 004; Qingwen Lin; Daxin Jiang (CoRR, 2023)

A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection. - Hongzhan Lin 001; Jing Ma 004; Ruichao Yang; Zhiwei Yang 005; Mingfei Cheng (CoRR, 2023)

Augmented Large Language Models with Parametric Knowledge Guiding. - Ziyang Luo; Can Xu; Pu Zhao 004; Xiubo Geng; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (CoRR, 2023)

Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning. - Jing Ma 004; Jun Li; Wei Gao 001; Yang Yang 002; Kam-Fai Wong (IEEE Trans. Knowl. Data Eng., 2023)

CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. - Zixin Chen; Hongzhan Lin 001; Ziyang Luo; Mingfei Cheng; Jing Ma 004; Guang Chen 003 (ACL (1), 2024)

Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. - Ruichao Yang; Wei Gao 001; Jing Ma 004; Hongzhan Lin 001; Bo Wang 069 (ACL (Findings), 2024)

Towards Low-Resource Harmful Meme Detection with LMM Agents. - Jianzhao Huang; Hongzhan Lin 001; Ziyan Liu; Ziyang Luo; Guang Chen 003; Jing Ma 004 (EMNLP, 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 004 (EMNLP (Findings), 2024)

AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. - Ziyang Luo; Xin Li 056; Hongzhan Lin 001; Jing Ma 004; Lidong Bing (EMNLP, 2024)

Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. - Hongzhan Lin 001; Haiqin Yang; Ziyang Luo; Jing Ma 004 (ICASSP, 2024)

WizardCoder: Empowering Code Large Language Models with Evol-Instruct. - Ziyang Luo; Can Xu; Pu Zhao 004; Qingfeng Sun; Xiubo Geng; Wenxiang Hu; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (ICLR, 2024)

Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. - Hongzhan Lin 001; Ziyang Luo; Wei Gao 001; Jing Ma 004; Bo Wang 069; Ruichao Yang (WWW, 2024)

Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. - Bo Wang 069; Jing Ma 004; Hongzhan Lin 001; Zhiwei Yang 005; Ruichao Yang; Yuan Tian 016; Yi Chang 001 (WWW, 2024)

GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse. - Hongzhan Lin 001; Ziyang Luo; Bo Wang 069; Ruichao Yang; Jing Ma 004 (CoRR, 2024)

Cyclic Neural Network. - Liangwei Yang; Hengrui Zhang; Zihe Song 001; Jiawei Zhang 001; Weizhi Zhang 001; Jing Ma 004; Philip S. Yu (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 004 (CoRR, 2024)

MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models. - Shengkang Wang; Hongzhan Lin 001; Ziyang Luo; Zhen Ye; Guang Chen 003; Jing Ma 004 (CoRR, 2024)

Multimodal Clinical Reasoning through Knowledge-augmented Rationale Generation. - Shuai Niu; Jing Ma 004; Liang Bai; Zhihua Wang 008; Yida Xu; Yunya Song; Xian Yang 001 (CoRR, 2024)

From General to Specific: Utilizing General Hallucination to Benchmark Specific Role-Playing Agents. - Chuyi Kong; Ziyang Luo; Hongzhan Lin 001; Zhiyuan Fan; Yaxin Fan; Yuxi Sun 011; Jing Ma 004 (CoRR, 2024)

Enhancing healthcare decision support through explainable AI models for risk prediction. - Shuai Niu; Qing Yin; Jing Ma 004; Yunya Song; Yida Xu; Liang Bai; Wei Pan 004; Xian Yang 001 (Decis. Support Syst., 2024)

Towards low-resource rumor detection: Unified contrastive transfer with propagation structure. - Hongzhan Lin 001; Jing Ma 004; Ruichao Yang; Zhiwei Yang 005; Mingfei Cheng (Neurocomputing, 2024)

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. - Zhiwei Yang 005; Jing Ma 004; Hechang Chen; Jiawei Zhang 001; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation. - Shuai Niu; Jing Ma 004; Liang Bai; Zhihua Wang 008; Li Guo 002; Xian Yang 001 (Inf. Fusion, 2024)

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy. - Zhiwei Yang 005; Jing Ma 004; Kang Yang; Huiru Lin; Hechang Chen; Ruichao Yang; Yi Chang 001 (Inf. Process. Manag., 2024)

A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare. - Shuai Niu; Jing Ma 004; Qing Yin; Liang Bai; Chen Li; Xian Yang 001 (Ann. Oper. Res., 2024)

Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers. - Ruofei Wang; Hongzhan Lin 001; Ziyuan Luo; Ka Chun Cheung; Simon See; Jing Ma 004; Renjie Wan (AAAI, 2025)

FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. - Hongzhan Lin 001; Yang Deng 002; Yuxuan Gu; Wenxuan Zhang 001; Jing Ma 004; See-Kiong Ng; Tat-Seng Chua (ACL (1), 2025)

AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness. - Zixin Chen; Hongzhan Lin 001; Kaixin Li; Ziyang Luo; Zhen Ye; Guang Chen 003; Zhiyong Huang; Jing Ma 004 (ACL (1), 2025)

SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs. - Chuyi Kong; Ziyang Luo; Hongzhan Lin 001; Zhiyuan Fan; Yaxin Fan; Yuxi Sun 011; Jing Ma 004 (ACL (Findings), 2025)

Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models. - Ziyang Luo; Kaixin Li; Hongzhan Lin 001; Yuchen Tian; Mohan S. Kankanhalli; Jing Ma 004 (ACL (1), 2025)

ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Wei Bi; Richard Yi Da Xu; Guo Li 002; Xian Yang 001 (ACL (Findings), 2025)

Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Richard Yi Da Xu; Yunya Song; Xian Yang 001 (ACL (1), 2025)

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention. - Yuxi Sun 011; Aoqi Zuo; Wei Gao 001; Jing Ma 004 (ACL (Findings), 2025)

CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? - Yuwei Zhao; Ziyang Luo; Yuchen Tian; Hongzhan Lin 001; Weixiang Yan; Annan Li; Jing Ma 004 (COLING, 2025)

VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation. - Ziyang Luo; Haoning Wu; Dongxu Li; Jing Ma 004; Mohan S. Kankanhalli; Junnan Li 001 (CVPR, 2025)

ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges. - Rao Fu; Ziyang Luo; Hongzhan Lin 001; Zhen Ye; Jing Ma 004 (NAACL (Short Papers), 2025)

Scientific poster generation: A new dataset and approach. - Xinyi Zhong; Zusheng Tan; Jing Li 034; Shen Gao; Jing Ma 004; Shanshan Feng 001; Billy Chiu (Pattern Recognit., 2025)

Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Wei Bi; Yida Xu; Guo Li 002; Xian Yang 001 (CoRR, 2025)

ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use. - Kaixin Li; Ziyang Meng; Hongzhan Lin 001; Ziyang Luo; Yuchen Tian; Jing Ma 004; Zhiyong Huang; Tat-Seng Chua (CoRR, 2025)

Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies. - Shuai Niu; Jing Ma 004; Qing Yin; Zhihua Wang 008; Liang Bai; Xian Yang 001 (Inf. Syst. Frontiers, 2025)

LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information. - Ruichao Yang; Jing Ma 004; Wei Gao 001; Hongzhan Lin 001 (ACM Trans. Intell. Syst. Technol., 2025)

AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? - Yuchen Tian; Kaixin Li; Hao Chen; Ziyang Luo; Hongzhan Lin 001; Sebastian Schelter; Lun Du; Jing Ma 004 (CoRR, 2025)

Tb-mmrd: transformer-based multi-modal election rumor detection with agreement-aware gating and semantic fusion. - Lazarus Kwao; Jing Ma 004; Sophyani Banaamwini Yussif; Wisdom Xornam Ativi; Ben Beklisi Kwame Ayawli (Multim. Syst., 2025)

MCDF: Multimodal information fusion and causal analysis for election misinformation detection. - Lazarus Kwao; Jing Ma 004; Sophyani Banaamwini Yussif; Matthew Quayson (Inf. Fusion, 2026)