vix.ing · top · new · best · stats · spec

Ju, Mingxuan

  1. Generate rather than Retrieve: Large Language Models are Strong Context Generators
    2022/09/21 by Wenhao Yu, Yu, Wenhao, Dan Iter +15 · 16 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  2. GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
    2023/10/01 by Mingxuan Ju, Tong Zhao, Ju, Mingxuan +7 · 7 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  3. Heterogeneous Temporal Graph Neural Network
    2021/10/26 by Yujie Fan, Fan, Yujie, Mingxuan Ju +7 · 4 citations
    Computer Science · Social Sciences · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Recommender Systems and Techniques #Social and Information Networks (cs.SI)
  4. Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
    2022/10/05 by Ju, Mingxuan, Zhao, Tong, Wen, Qianlong +4 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
    2024/12/12 by Zhang, Zheyuan, Wang, Zehong, Ma, Tianyi +8 · 5 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  6. Enhancing Item Tokenization for Generative Recommendation through Self-Improvement
    2024/12/22 by Runjin Chen, Chen, Runjin, Mingxuan Ju +16 · 5 citations
    Computer Science · #Recommender Systems and Techniques #Topic Modeling #Intelligent Tutoring Systems and Adaptive Learning
  7. Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
    2022/11/19 by Mingxuan Ju, Ju, Mingxuan, Yujie Fan +5 · 1 citation
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Machine Learning in Materials Science
  8. Self-Supervised Graph Structure Refinement for Graph Neural Networks
    2022/11/12 by Zhao, Jianan, Wen, Qianlong, Ju, Mingxuan +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. How Does Message Passing Improve Collaborative Filtering?
    2024/03/27 by Ju, Mingxuan, Shiao, William, Guo, Zhichun +4 · 2 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  10. Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank
    2024/10/15 by Loveland, Donald, Wu, Xinyi, Zhao, Tong +3 · 2 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  11. Improving Out-of-Vocabulary Handling in Recommendation Systems
    2024/03/27 by William Shiao, Mingxuan Ju, Shiao, William +13 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
  12. On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective
    2025/05/16 by Donald Loveland, Mingxuan Ju, Loveland, Donald +7 · 3 citations
    Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Mobile Crowdsensing and Crowdsourcing
  13. One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
    2024/11/30 by Liu, Jingzhe, Mao, Haitao, Chen, Zhikai +6 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics
    2025/03/30 by Jing Zhu, Zhu, Jing, Mingxuan Ju +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling