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Ningyuan Huang
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2020 – today
- 2024
- [j3]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): 17941-17960 (2024) - [c5]Luana Ruiz, Ningyuan Teresa Huang, Soledad Villar:
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs. ICASSP 2024: 9936-9940 - [i12]Ben Blum-Smith, Ningyuan Huang, Marco Cuturi, Soledad Villar:
Learning functions on symmetric matrices and point clouds via lightweight invariant features. CoRR abs/2405.08097 (2024) - 2023
- [c4]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: 347-357 - [c3]Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris:
Fine-grained Expressivity of Graph Neural Networks. NeurIPS 2023 - [c2]Ningyuan Huang, Ron Levie, Soledad Villar:
Approximately Equivariant Graph Networks. NeurIPS 2023 - [i11]Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris:
Fine-grained Expressivity of Graph Neural Networks. CoRR abs/2306.03698 (2023) - [i10]Ningyuan Huang, Ron Levie, Soledad Villar:
Approximately Equivariant Graph Networks. CoRR abs/2308.10436 (2023) - 2022
- [j2]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): 8689-8693 (2022) - [j1]Ningyuan Teresa Huang, David W. Hogg, Soledad Villar:
Dimensionality Reduction, Regularization, and Generalization in Overparameterized Regressions. SIAM J. Math. Data Sci. 4(1): 126-152 (2022) - [i9]Ningyuan Huang, Soledad Villar:
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants. CoRR abs/2201.07083 (2022) - [i8]Joshua T. Vogelstein, Timothy D. 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 H. 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 abs/2201.07372 (2022) - [i7]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 abs/2205.14299 (2022) - [i6]Ningyuan Huang, Yash R. Deshpande, Yibo Liu, Houda Alberts, Kyunghyun Cho, Clara Vania, Iacer Calixto:
Endowing Language Models with Multimodal Knowledge Graph Representations. CoRR abs/2206.13163 (2022) - [i5]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 abs/2209.12054 (2022) - [i4]Carey E. Priebe, Ningyuan Huang, Soledad Villar, Cong Mu, Li Chen:
Deep Learning is Provably Robust to Symmetric Label Noise. CoRR abs/2210.15083 (2022) - [i3]Luana Ruiz, Ningyuan Huang, Soledad Villar:
Graph Neural Networks for Community Detection on Sparse Graphs. CoRR abs/2211.03231 (2022) - 2021
- [c1]Ningyuan Teresa Huang, Soledad Villar:
A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants. ICASSP 2021: 8533-8537 - 2020
- [i2]Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen:
A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR abs/2010.13152 (2020) - [i1]Ningyuan Huang, David W. Hogg, Soledad Villar:
Dimensionality reduction, regularization, and generalization in overparameterized regressions. CoRR abs/2011.11477 (2020)
Coauthor Index
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