Runze Li

1. Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
   2005/12/15 by Annie Qu, Runze Li · 28 citations
   Mathematics · #Statistical Methods and Inference #Statistical Methods and Bayesian Inference #Advanced Statistical Methods and Models
2. Towards Visually Explaining Variational Autoencoders
   2019/11/18 by Wenqian Liu, Liu, Wenqian, Runze Li +13 · 6 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
3. Statistical Challenges with High Dimensionality: Feature Selection in Knowledge Discovery
   2006/02/07 by Jianqing Fan, Runze Li, Fan, Jianqing +1 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #FOS: Mathematics #Face and Expression Recognition #Gene expression and cancer classification #Optimization and Control (math.OC) #Primary 62J99 #Secondary 62F12 #Statistical Methods and Inference #Statistics Theory (math.ST)
4. A Distribution Free Conditional Independence Test with Applications to Causal Discovery
   2021/05/17 by Zhanrui Cai, Runze Li, Cai, Zhanrui +2 · 3 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
5. TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
   2024/04/01 by Zelin He, He, Zelin, Ying Sun +5 · 5 citations
   Computer Science · #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Methodology (stat.ME) #Neural Networks and Applications #Parallel #Speech Recognition and Synthesis #Statistics Theory (math.ST) #and Cluster Computing (cs.DC)
6. Central Limit Theorem for Linear Spectral Statistics of Large Dimensional Kendall's Rank Correlation Matrices and its Applications
   2019/12/13 by Zeng Li, Li, Zeng, Qinwen Wang +3 · 2 citations
   Mathematics · #Advanced Algebra and Geometry #Advanced Combinatorial Mathematics #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Random Matrices and Applications #Statistics Theory (math.ST)
7. Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection
   2020/09/04 by Yining Wang, Yi Chen, Wang, Yining +7 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #G.3 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics #Statistics Theory (math.ST)
8. A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations
   2024/01/15 by Siyu Wu, Yang Cao, Wu, Siyu +11 · 2 citations
   Computer Science · #68-02 #A.1 #Computers and Society (cs.CY) #Engineering Education and Technology #FOS: Computer and information sciences
9. AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
   2024/03/20 by Zelin He, Ying Sun, He, Zelin +5 · 2 citations
   Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM
10. MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
    2021/07/26 by Pan Ji, Ji, Pan, Runze Li +5 · 1 citation
    Computer Science · Engineering · #Advanced Vision and Imaging #Robotics and Sensor-Based Localization #Optical measurement and interference techniques
11. RECLIP: Resource-efficient CLIP by Training with Small Images
    2023/04/12 by Runze Li, Dahun Kim, Li, Runze +5 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques
12. Rapid aerodynamic prediction of swept wings via physics-embedded transfer learning
    2024/09/19 by Yunjia Yang, Runze Li, Yang, Yunjia +7 · 2 citations
    Engineering · Physics and Astronomy · #Aerodynamics and Acoustics in Jet Flows #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Model Reduction and Neural Networks
13. NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
    2025/04/14 by Yuqian Fu, Fu, Yuqian, Xingyu Qiu +117 · 4 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Advanced X-ray and CT Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
14. NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization
    2025/02/20 by Zheyuan Zhang, Zhang, Zheyuan, Runze Li +5 · 2 citations
    Computer Science · Social Sciences · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geographic Information Systems Studies #Multimodal Machine Learning Applications
15. A Ca²⁺–ethylene signaling cascade mediates cadmium-induced root growth inhibition in Arabidopsis
    2026/07/17 by Ruiqi Ma, Runze Li, Yuqiu Lai +12
16. Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning
    2026/07/21 by Chi Lung Cheng, Julia Gonski, Runze Li +5
    #hep-ex #hep-ph