Ningyuan Huang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Dimensionality Reduction

Graph Representations

Top Venues

Multim. Tools Appl.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Ben Blum-Smith, Ningyuan Huang, Marco Cuturi, Soledad Villar
Learning functions on symmetric matrices and point clouds via lightweight invariant features. CoRR (2024)
Junwei Duan, Fei Xie, Ningyuan Huang, Ningdi Luo, Ziyu Guan, Wei Zhao, Gang Gao
An EEG abnormality detection algorithm based on graphic attention network. Multim. Tools Appl. 83 (6) (2024)
Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
Fine-grained Expressivity of Graph Neural Networks. CoRR (2023)
Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
Fine-grained Expressivity of Graph Neural Networks. NeurIPS (2023)
Ningyuan Huang, Ron Levie, Soledad Villar
Approximately Equivariant Graph Networks. CoRR (2023)
Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
Prospective Learning: Principled Extrapolation to the Future. CoLLAs (2023)
Ningyuan Huang, Ron Levie, Soledad Villar
Approximately Equivariant Graph Networks. NeurIPS (2023)
Luana Ruiz, Ningyuan Huang, Soledad Villar
Graph Neural Networks for Community Detection on Sparse Graphs. CoRR (2022)
Carey E. Priebe, Ningyuan Huang, Soledad Villar, Cong Mu, Li Chen
Deep Learning is Provably Robust to Symmetric Label Noise. CoRR (2022)
Ningyuan Huang, Soledad Villar, Carey E. Priebe, Da Zheng, Chengyue Huang, Lin Yang, Vladimir Braverman
From Local to Global: Spectral-Inspired Graph Neural Networks. CoRR (2022)
Ningyuan Huang, Yash R. Deshpande, Yibo Liu, Houda Alberts, Kyunghyun Cho, Clara Vania, Iacer Calixto
Endowing Language Models with Multimodal Knowledge Graph Representations. CoRR (2022)
Ningyuan Huang, Soledad Villar
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants. CoRR (2022)
Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
A Simple Spectral Failure Mode for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
Prospective Learning: Back to the Future. CoRR (2022)
Li Chen, Ningyuan Huang, Cong Mu, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
Deep Learning with Label Noise: A Hierarchical Approach. CoRR (2022)
Ningyuan Huang, David W. Hogg, Soledad Villar
Dimensionality reduction, regularization, and generalization in overparameterized regressions. CoRR (2020)
Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR (2020)