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Cluster-based Deep Ensemble Learning for Emotion Classification in Internet Memes


Feb 16, 2023
Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga

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NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion Analysis


Feb 16, 2023
Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga

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


Feb 06, 2023
Ziyang luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen lin, Daxin Jiang

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Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization


Jan 03, 2023
Yaochen Zhu, Jing Ma, Jundong Li

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Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning


Dec 02, 2022
Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu

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* To appear in AAAI 2023 

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Interpreting Unfairness in Graph Neural Networks via Training Node Attribution


Nov 25, 2022
Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li

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* Published as a conference paper at AAAI 2023 

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Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels


Nov 03, 2022
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang

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CLEAR: Generative Counterfactual Explanations on Graphs


Oct 16, 2022
Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li

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* 18 pages, 9 figures 

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Towards Training Graph Neural Networks with Node-Level Differential Privacy


Oct 10, 2022
Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong

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


Sep 29, 2022
Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang

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* Accepted by COLING 2022. The 29th International Conference on Computational Linguistics, Gyeongju, Republic of Korea 

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