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Mingxuan Ju
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2020 – today
- 2024
- [c16]Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye:
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble. ICML 2024 - [i12]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 abs/2403.18280 (2024) - [i11]Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao:
How Does Message Passing Improve Collaborative Filtering? CoRR abs/2404.08660 (2024) - [i10]Matthew Kolodner, Mingxuan Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu:
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems. CoRR abs/2409.14682 (2024) - 2023
- [j2]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: 1082-1096 (2023) - [c15]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: 4383-4390 - [c14]Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye:
Leveraging Comment Retrieval for Code Summarization. ECIR (2) 2023: 439-447 - [c13]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 - [c12]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 - [c11]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 - [c10]Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye:
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS 2023 - [c9]Jianan Zhao
, Qianlong Wen
Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM 2023: 159-167 - [i9]Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang:
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. CoRR abs/2305.14441 (2023) - [i8]Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye:
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. CoRR abs/2310.00800 (2023) - 2022
- [c8]Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao:
Adaptive Kernel Graph Neural Network. AAAI 2022: 7051-7058 - [c7]Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye:
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) 2022: 169-181 - [c6]Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye:
Heterogeneous Temporal Graph Neural Network. SDM 2022: 657-665 - [i7]Mingxuan Ju, Yujie Fan, Yanfang Ye, Liang Zhao:
Black-box Node Injection Attack for Graph Neural Networks. CoRR abs/2202.09389 (2022) - [i6]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 abs/2209.10063 (2022) - [i5]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 abs/2210.02016 (2022) - [i4]Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye:
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR abs/2210.02933 (2022) - [i3]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 abs/2211.10782 (2022) - 2021
- [c5]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: 7754-7761 - [c4]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: 2831-2839 - [c3]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: 518-528 - [i2]Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye:
Heterogeneous Temporal Graph Neural Network. CoRR abs/2110.13889 (2021) - [i1]Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye:
Adaptive Kernel Graph Neural Network. CoRR abs/2112.04575 (2021) - 2020
- [j1]Yanfang Ye
$\alpha$-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): 2755-2764 (2020) - [c2]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: 2909-2916
2010 – 2019
- 2018
- [c1]Mingxuan Ju, Zhengkai Jiang, Yufan Chen, Soumya Ray
A Multi-Representation Ensemble Approach to Classifying Vocal Diseases. IEEE BigData 2018: 5258-5262
Coauthor Index
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