Jing Ma - RankMe

123 papers A* 19A 2B 5Misc 2Journal 69Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs. CoRR Shidong Cao, Hongzhan Lin, Yuxuan Gu, Ziyang Luo, Jing Ma
2026	J	`jnl`	ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models. IEEE Trans. Knowl. Data Eng. Hongzhan Lin, Wei Gao, Jing Ma, Yang Deng, Ziyang Luo, Bo Wang, Ruichao Yang, Tat-Seng Chua
2026	J	`jnl`	MCDF: Multimodal information fusion and causal analysis for election misinformation detection. Inf. Fusion Lazarus Kwao, Jing Ma, Sophyani Banaamwini Yussif, Matthew Quayson
2026	J	`jnl`	Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection. CoRR Ruichao Yang, Wei Gao, Xiaobin Zhu, Jing Ma, Hongzhan Lin, Ziyang Luo, Bo-Wen Zhang, Xu-Cheng Yin
2026	J	`jnl`	Towards Comprehensive Stage-wise Benchmarking of Large Language Models in Fact-Checking. CoRR Hongzhan Lin, Zixin Chen, Zhiqi Shen, Ziyang Luo, Zhen Ye, Jing Ma, Tat-Seng Chua, Guandong Xu
2025	—	`conf`	AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness. ACL (1) Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye, Guang Chen, Zhiyong Huang, Jing Ma
2025	J	`jnl`	AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness. CoRR Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye, Guang Chen, Zhiyong Huang, Jing Ma
2025	J	`jnl`	AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries? CoRR Yuchen Tian, Kaixin Li, Hao Chen, Ziyang Luo, Hongzhan Lin, Sebastian Schelter, Lun Du, Jing Ma
2025	—	`conf`	CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention. ACL (Findings) Yuxi Sun, Aoqi Zuo, Wei Gao, Jing Ma
2025	J	`jnl`	CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention. CoRR Yuxi Sun, Aoqi Zuo, Wei Gao, Jing Ma
2025	B	`conf`	CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? COLING Yuwei Zhao, Ziyang Luo, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, Jing Ma
2025	J	`jnl`	EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty. CoRR Yuchen Tian, Ruiyuan Huang, Xuanwu Wang, Jing Ma, Zengfeng Huang, Ziyang Luo, Hongzhan Lin, Da Zheng, Lun Du
2025	—	`conf`	Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms. IJCNLP-AACL (long papers) Yuxi Sun, Wei Gao, Hongzhan Lin, Jing Ma, Wenxuan Zhang
2025	J	`jnl`	Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms. CoRR Yuxi Sun, Wei Gao, Hongzhan Lin, Jing Ma, Wenxuan Zhang
2025	—	`conf`	FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. ACL (1) Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. CoRR Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	GeoGNN: Quantifying and Mitigating Semantic Drift in Text-Attributed Graphs. CoRR Liangwei Yang, Jing Ma, Jianguo Zhang, Zhiwei Liu, Jielin Qiu, Shirley Kokane, Shiyu Wang, Haolin Chen, Rithesh Murthy, Ming Zhu, Huan Wang, Weiran Yao, Caiming Xiong, Shelby Heinecke
2025	—	`conf`	Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models. ACL (1) Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Richard Yi Da Xu, Yunya Song, Xian Yang
2025	J	`jnl`	LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information. CoRR Ruichao Yang, Jing Ma, Wei Gao, Hongzhan Lin
2025	J	`jnl`	LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information. ACM Trans. Intell. Syst. Technol. Ruichao Yang, Jing Ma, Wei Gao, Hongzhan Lin
2025	—	`conf`	MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique. EMNLP (Findings) Gailun Zeng, Ziyang Luo, Hongzhan Lin, Yuchen Tian, Kaixin Li, Ziyang Gong, Jianxiong Guo, Jing Ma
2025	J	`jnl`	MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique. CoRR Gailun Zeng, Ziyang Luo, Hongzhan Lin, Yuchen Tian, Kaixin Li, Ziyang Gong, Jianxiong Guo, Jing Ma
2025	A*	`conf`	Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers. AAAI Ruofei Wang, Hongzhan Lin, Ziyuan Luo, Ka Chun Cheung, Simon See, Jing Ma, Renjie Wan
2025	A*	`conf`	MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models. EMNLP Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Yayue Deng, Jing Ma
2025	J	`jnl`	MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models. CoRR Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Yayue Deng, Jing Ma
2025	J	`jnl`	Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies. Inf. Syst. Frontiers Shuai Niu, Jing Ma, Qing Yin, Zhihua Wang, Liang Bai, Xian Yang
2025	—	`conf`	ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. ACL (Findings) Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Richard Yi Da Xu, Guo Li, Xian Yang
2025	J	`jnl`	REFLEX: Self-Refining Explainable Fact-Checking via Disentangling Truth into Style and Substance. CoRR Chuyi Kong, Gao Wei, Jing Ma, Hongzhan Lin, Yaxin Fan
2025	—	`conf`	SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs. ACL (Findings) Chuyi Kong, Ziyang Luo, Hongzhan Lin, Zhiyuan Fan, Yaxin Fan, Yuxi Sun, Jing Ma
2025	J	`jnl`	Scientific poster generation: A new dataset and approach. Pattern Recognit. Xinyi Zhong, Zusheng Tan, Jing Li, Shen Gao, Jing Ma, Shanshan Feng, Billy Chiu
2025	—	`conf`	ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges. NAACL (Short Papers) Rao Fu, Ziyang Luo, Hongzhan Lin, Zhen Ye, Jing Ma
2025	A*	`conf`	ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use. ACM Multimedia Kaixin Li, Ziyang Meng, Hongzhan Lin, Ziyang Luo, Yuchen Tian, Jing Ma, Zhiyong Huang, Tat-Seng Chua
2025	J	`jnl`	ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use. CoRR Kaixin Li, Ziyang Meng, Hongzhan Lin, Ziyang Luo, Yuchen Tian, Jing Ma, Zhiyong Huang, Tat-Seng Chua
2025	J	`jnl`	Tb-mmrd: transformer-based multi-modal election rumor detection with agreement-aware gating and semantic fusion. Multim. Syst. Lazarus Kwao, Jing Ma, Sophyani Banaamwini Yussif, Wisdom Xornam Ativi, Ben Beklisi Kwame Ayawli
2025	—	`conf`	Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models. ACL (1) Ziyang Luo, Kaixin Li, Hongzhan Lin, Yuchen Tian, Mohan S. Kankanhalli, Jing Ma
2025	J	`jnl`	Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion. CoRR Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Yida Xu, Guo Li, Xian Yang
2025	A*	`conf`	VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation. CVPR Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan S. Kankanhalli, Junnan Li
2024	J	`jnl`	A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare. Ann. Oper. Res. Shuai Niu, Jing Ma, Qing Yin, Liang Bai, Chen Li, Xian Yang
2024	A*	`conf`	AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. EMNLP Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing
2024	J	`jnl`	AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. CoRR Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing
2024	J	`jnl`	CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy. Inf. Process. Manag. Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang
2024	J	`jnl`	CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? CoRR Yuwei Zhao, Ziyang Luo, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, Jing Ma
2024	—	`conf`	CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. ACL (1) Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
2024	J	`jnl`	CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. CoRR Hongzhan Lin, Zixin Chen, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen
2024	J	`jnl`	Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. IEEE Trans. Neural Networks Learn. Syst. Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang
2024	J	`jnl`	Cyclic Neural Network. CoRR Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu
2024	J	`jnl`	EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation. Inf. Fusion Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Li Guo, Xian Yang
2024	J	`jnl`	Enhancing healthcare decision support through explainable AI models for risk prediction. Decis. Support Syst. Shuai Niu, Qing Yin, Jing Ma, Yunya Song, Yida Xu, Liang Bai, Wei Pan, Xian Yang
2024	J	`jnl`	Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom. CoRR Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
2024	A*	`conf`	Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. WWW Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
2024	J	`jnl`	From General to Specific: Utilizing General Hallucination to Benchmark Specific Role-Playing Agents. CoRR Chuyi Kong, Ziyang Luo, Hongzhan Lin, Zhiyuan Fan, Yaxin Fan, Yuxi Sun, Jing Ma
2024	J	`jnl`	GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse. CoRR Hongzhan Lin, Ziyang Luo, Bo Wang, Ruichao Yang, Jing Ma
2024	J	`jnl`	MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models. CoRR Shengkang Wang, Hongzhan Lin, Ziyang Luo, Zhen Ye, Guang Chen, Jing Ma
2024	—	`conf`	MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems. EMNLP (Findings) Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Zhiyong Huang, Jing Ma
2024	J	`jnl`	MMCode: Evaluating Multi-Modal Code Large Language Models with Visually Rich Programming Problems. CoRR Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Jing Ma
2024	J	`jnl`	Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers. CoRR Ruofei Wang, Hongzhan Lin, Ziyuan Luo, Ka Chun Cheung, Simon See, Jing Ma, Renjie Wan
2024	J	`jnl`	Multimodal Clinical Reasoning through Knowledge-augmented Rationale Generation. CoRR Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Yida Xu, Yunya Song, Xian Yang
2024	—	`conf`	Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. ACL (Findings) Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang
2024	J	`jnl`	Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models. CoRR Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang
2024	J	`jnl`	ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges. CoRR Rao Fu, Ziyang Luo, Hongzhan Lin, Zhen Ye, Jing Ma
2024	A*	`conf`	Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. WWW Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang
2024	J	`jnl`	Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. CoRR Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang
2024	A*	`conf`	Towards Low-Resource Harmful Meme Detection with LMM Agents. EMNLP Jianzhao Huang, Hongzhan Lin, Ziyan Liu, Ziyang Luo, Guang Chen, Jing Ma
2024	J	`jnl`	Towards Low-Resource Harmful Meme Detection with LMM Agents. CoRR Jianzhao Huang, Hongzhan Lin, Ziyan Liu, Ziyang Luo, Guang Chen, Jing Ma
2024	J	`jnl`	Towards low-resource rumor detection: Unified contrastive transfer with propagation structure. Neurocomputing Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
2024	Misc	`conf`	Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. ICASSP Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma
2024	J	`jnl`	VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation. CoRR Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan S. Kankanhalli, Junnan Li
2024	A*	`conf`	WizardCoder: Empowering Code Large Language Models with Evol-Instruct. ICLR Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang
2023	J	`jnl`	A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection. CoRR Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
2023	J	`jnl`	Augmented Large Language Models with Parametric Knowledge Guiding. CoRR Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang
2023	—	`conf`	Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. EMNLP (Findings) Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen
2023	J	`jnl`	Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. CoRR Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen
2023	A	`conf`	Graph-based Alignment and Uniformity for Recommendation. CIKM Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023	J	`jnl`	Graph-based Alignment and Uniformity for Recommendation. CoRR Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023	A*	`conf`	Graph-based Village Level Poverty Identification. WWW Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
2023	J	`jnl`	Graph-based Village Level Poverty Identification. CoRR Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
2023	Misc	`conf`	I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning. ICASSP Ziyang Luo, Zhipeng Hu, Yadong Xi, Rongsheng Zhang, Jing Ma
2023	J	`jnl`	Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning. IEEE Trans. Knowl. Data Eng. Jing Ma, Jun Li, Wei Gao, Yang Yang, Kam-Fai Wong
2023	J	`jnl`	LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. CoRR Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang
2023	A*	`conf`	LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. ICCV Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang
2023	A*	`conf`	WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom. EMNLP Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang
2023	J	`jnl`	WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom. CoRR Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang
2023	J	`jnl`	WizardCoder: Empowering Code Large Language Models with Evol-Instruct. CoRR Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang
2023	A*	`conf`	Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. AAAI Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
2022	B	`conf`	A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. COLING Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
2022	J	`jnl`	A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. CoRR Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
2022	A*	`conf`	A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. SIGIR Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao
2022	J	`jnl`	A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. CoRR Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao
2022	B	`conf`	AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering. IJCNN Hongzhan Lin, Liangliang Chen, Jing Ma, Zhiwei Yang, Guang Chen
2022	—	`conf`	Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval. EMNLP (Findings) Ziyang Luo, Yadong Xi, Rongsheng Zhang, Gongzheng Li, Zeng Zhao, Jing Ma
2022	—	`conf`	DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks. NAACL-HLT (Findings) Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang
2022	J	`jnl`	DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks. CoRR Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang
2022	—	`conf`	Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. NAACL-HLT (Findings) Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
2022	J	`jnl`	Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning. CoRR Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
2022	J	`jnl`	I-Tuning: Tuning Language Models with Image for Caption Generation. CoRR Ziyang Luo, Yadong Xi, Rongsheng Zhang, Jing Ma
2022	J	`jnl`	VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training. CoRR Ziyang Luo, Yadong Xi, Rongsheng Zhang, Jing Ma
2022	J	`jnl`	Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. CoRR Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
2021	A*	`conf`	ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. SIGIR Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
2021	J	`jnl`	ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. CoRR Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
2021	—	`conf`	Cross-lingual COVID-19 Fake News Detection. ICDM (Workshops) Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
2021	J	`jnl`	Cross-lingual COVID-19 Fake News Detection. CoRR Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
2021	—	`conf`	HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. EMNLP (Findings) Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang
2021	—	`conf`	Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. EMNLP (1) Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
2021	J	`jnl`	Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. CoRR Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
2020	J	`jnl`	An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks. ACM Trans. Intell. Syst. Technol. Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong
2020	—	`conf`	AnswerFact: Fact Checking in Product Question Answering. EMNLP (1) Wenxuan Zhang, Yang Deng, Jing Ma, Wai Lam
2020	A*	`conf`	Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
2020	B	`conf`	Debunking Rumors on Twitter with Tree Transformer. COLING Jing Ma, Wei Gao
2020	J	`jnl`	Discovering attractive segments in the user-generated video streams. Inf. Process. Manag. Zheng Wang, Jie Zhou, Jing Ma, Jingjing Li, Jiangbo Ai, Yang Yang
2020	J	`jnl`	Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering. World Wide Web Zheng Wang, Lin Zuo, Jing Ma, Si Chen, Jingjing Li, Zhao Kang, Lei Zhang
2020	J	`jnl`	Influential Nodes Identification in Complex Networks via Information Entropy. Entropy Chungu Guo, Liangwei Yang, Xiao Chen, Duanbing Chen, Hui Gao, Jing Ma
2020	A*	`conf`	Review-guided Helpful Answer Identification in E-commerce. WWW Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma
2020	J	`jnl`	Review-guided Helpful Answer Identification in E-commerce. CoRR Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma
2019	A*	`conf`	Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning. WWW Jing Ma, Wei Gao, Kam-Fai Wong
2019	—	`conf`	Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks. ACL (1) Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong
2018	—	`conf`	Detect Rumor and Stance Jointly by Neural Multi-task Learning. WWW (Companion Volume) Jing Ma, Wei Gao, Kam-Fai Wong
2018	—	`conf`	Rumor Detection on Twitter with Tree-structured Recursive Neural Networks. ACL (1) Jing Ma, Wei Gao, Kam-Fai Wong
2018	J	`jnl`	Utilizing computational trust to identify rumor spreaders on Twitter. Soc. Netw. Anal. Min. Bhavtosh Rath, Wei Gao, Jing Ma, Jaideep Srivastava
2017	—	`conf`	Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning. ACL (1) Jing Ma, Wei Gao, Kam-Fai Wong
2017	B	`conf`	From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter. ASONAM Bhavtosh Rath, Wei Gao, Jing Ma, Jaideep Srivastava
2016	A*	`conf`	Detecting Rumors from Microblogs with Recurrent Neural Networks. IJCAI Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, Meeyoung Cha
2015	A	`conf`	Detect Rumors Using Time Series of Social Context Information on Microblogging Websites. CIKM Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, Kam-Fai Wong
2015	—	`conf`	UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015. SemEval@NAACL-HLT Xu Han, Binyang Li, Jing Ma, Yuxiao Zhang, Gaoyan Ou, Tengjiao Wang, Kam-Fai Wong