Jingling Li

1. How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
   2020/09/24 by Keyulu Xu, Mozhi Zhang, Xu, Keyulu +9 · 22 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Machine Learning and ELM
2. Improving Interactive In-Context Learning from Natural Language Feedback
   2026/02/17 by Martin Klissarov, Jonathan Cook, Diego Antognini +5 · 2 voices
   Computer Science · #cs.AI
3. Understanding Generalization in Deep Learning via Tensor Methods
   2020/01/14 by Jingling Li, Li, Jingling, Yanchao Sun +7 · 4 citations
   Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #I.2.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Tensor decomposition and applications
4. Select and Permute: An Improved Online Framework for Scheduling to\n Minimize Weighted Completion Time
   2017/04/21 by Samir Khuller, Jingling Li, Khuller, Samir +7 · 1 citation
   Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Optimization and Search Problems #Scheduling and Optimization Algorithms
5. VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
   2021/10/27 by Mucong Ding, Ding, Mucong, Kezhi Kong +11 · 1 citation
   Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)