publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
    Ningyuan Huang, Richard Stiskalek, Jun-Young Lee, Adrian E Bayer, Charles Margossian, Christian Kragh Jespersen, Lucia A Perez, Lawrence K Saul, and Francisco Villaescusa-Navarro
    Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2025
    PDF Code Poster Website
  2. Diffusion for Fusion: Designing Stellarators with Generative AI
    Misha Padidar, Ningyuan Huang, Andrew Giuliani, and Marina Spivak
    NeurIPS 2025 AI for Science Workshop, 2025
    PDF
  3. Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity
    Ningyuan Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodriguez, Luca Zappella, and Federico Danieli
    International Conference on Machine Learning (ICML), 2025
    PDF Poster

2023

  1. Approximately Equivariant Graph Networks
    Ningyuan Huang, Ron Levie, and Soledad Villar
    Advances in Neural Information Processing Systems (NeurIPS), 2023
    PDF Poster
  2. Fine-grained Expressivity of Graph Neural Networks
    Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, and Christopher Morris
    Advances in Neural Information Processing Systems (NeurIPS), 2023
    PDF

2022

  1. From Local to Global: Spectral-Inspired Graph Neural Networks
    Ningyuan Huang, Soledad Villar, Carey E. Priebe, Da Zheng, Chengyue Huang, Lin Yang, and Vladimir Braverman
    NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022
    PDF

2021

  1. Visualsem: A High-Quality Knowledge Graph for Vision and Language
    Houda Alberts, Ningyuan Huang, Yash Deshpande, Yibo Liu, Kyunghyun Cho, Clara Vania, and Iacer Calixto
    EMNLP First Workshop on Multilingual Representation Learning, 2021
    PDF Code