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Jin, Long

  1. Leveraging LLM Reasoning Enhances Personalized Recommender Systems
    2024/07/22 by Alicia Y. Tsai, Adam Kraft, Tsai, Alicia Y. +18 · 1 voice · 10 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.IR #cs.LG
  2. Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node\n Representation Learning
    2020/10/30 by Muhan Zhang, Pan Li, Zhang, Muhan +7 · 9 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling
  3. Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
    2023/11/10 by Huan Gui, Gui, Huan, Ruoxi Wang +13 · 9 citations
    Computer Science · #Recommender Systems and Techniques #Topic Modeling #Advanced Graph Neural Networks
  4. Control for Schrödinger equation on hyperbolic surfaces
    2017/07/17 by Jin, Long · 4 citations
    #Analysis of PDEs (math.AP) #FOS: Mathematics
  5. TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
    2024/06/27 by Wen Zhang, Zhang, Wen, Long Jin +15 · 3 citations
    Computer Science · Social Sciences · #Access Control and Trust #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  6. NodeMixup: Tackling Under-Reaching for Graph Neural Networks
    2023/12/20 by Lu, Weigang, Guan, Ziyu, Zhao, Wei +2 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Activated Gradients for Deep Neural Networks
    2021/07/09 by Mei Liu, Liangming Chen, Liu, Mei +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM
  8. STAR: A Simple Training-free Approach for Recommendations using Large Language Models
    2024/10/21 by Dong‐Ho Lee, Lee, Dong-Ho, Long Jin +12 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
  9. Counting Pollicott--Ruelle resonances for Axiom A flows
    2023/06/04 by Long Jin, Zhongkai Tao, Jin, Long +1 · 1 citation
    Mathematics · Physics and Astronomy · #Advanced Differential Equations and Dynamical Systems #Dynamical Systems (math.DS) #FOS: Mathematics #Mathematical Dynamics and Fractals #Quantum chaos and dynamical systems #Spectral Theory (math.SP)
  10. A local trace formula for Anosov flows (with an appendix by Frédéric Naud)
    2014/11/22 by Long Jin, Jin, Long, Frédéric Naud +3 · 2 citations
    Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · #Analysis of PDEs (math.AP) #Complex Systems and Time Series Analysis #Dynamical Systems (math.DS) #FOS: Mathematics #Mathematical Dynamics and Fractals #Quantum chaos and dynamical systems #Spectral Theory (math.SP)
  11. Reliable Academic Conference Question Answering: A Study Based on Large Language Model
    2023/10/19 by Huang, Zhiwei, Li, Juan, Jin, Long +6 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
    2025/07/07 by Long, Yayu, Chen, Kewei, Jin, Long +1 · 4 citations
    #FOS: Computer and information sciences #I.2.6 #I.2.9 #Robotics (cs.RO)
  13. Deep Graph Neural Networks with Shallow Subgraph Samplers
    2020/12/02 by Hanqing Zeng, Muhan Zhang, Zeng, Hanqing +15 · 2 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Topic Modeling #Complex Network Analysis Techniques