Zhang, Huizhe

1. A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
   2023/05/30 by Li, Jintang, Zhang, Huizhe, Wu, Ruofan +5 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
2. Measuring Diversity in Synthetic Datasets
   2025/02/12 by Zhu, Yuchang, Zhang, Huizhe, Wu, Bingzhe +5 · 2 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
3. Are Large Language Models In-Context Graph Learners?
   2025/02/19 by Jintang Li, Ruofan Wu, Li, Jintang +9 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
4. Revisiting Graph Autoencoders as Implicit Contrastive Learners
   2024/10/14 by Jintang Li, Ruofan Wu, Li, Jintang +12 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #Machine Learning and Data Classification