Mingxuan Ju

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Graph Structure

Malware Detection

Top Venues

Publications

William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
Improving Out-of-Vocabulary Handling in Recommendation Systems. CoRR (2024)
Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
How Does Message Passing Improve Collaborative Filtering? CoRR (2024)
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. Trans. Assoc. Comput. Linguistics 11 (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. CoRR (2023)
Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. ICLR (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS (2023)
Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. AAAI (2023)
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. CoRR (2023)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. ICLR (2023)
Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM (2023)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. ICLR (2023)
Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye
Leveraging Comment Retrieval for Code Summarization. ECIR (2) (2023)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR (2022)
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao
Adaptive Kernel Graph Neural Network. AAAI (2022)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) (2022)
Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
Heterogeneous Temporal Graph Neural Network. SDM (2022)
Mingxuan Ju, Yujie Fan, Yanfang Ye, Liang Zhao
Black-box Node Injection Attack for Graph Neural Networks. CoRR (2022)
Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. CoRR (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR (2022)
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye
Adaptive Kernel Graph Neural Network. CoRR (2021)
Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond. AAAI (2021)
Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye
Heterogeneous Temporal Graph Neural Network. CoRR (2021)
Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao
Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. WWW (2021)
Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong
Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection. KDD (2021)
Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo
Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner. CIKM (2020)
Yanfang Ye, Shifu Hou, Yujie Fan, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo
$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Mingxuan Ju, Zhengkai Jiang, Yufan Chen, Soumya Ray
A Multi-Representation Ensemble Approach to Classifying Vocal Diseases. IEEE BigData (2018)