Mingxuan Ju
Orcid: 0000-0003-0519-7829
According to our database1,
Mingxuan Ju
authored at least 20 papers
between 2018 and 2024.
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Bibliography
2024
2023
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions.
CoRR, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Advances in Information Retrieval, 2023
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.
IEEE J. Biomed. Health Informatics, 2020
Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018