default search action
Ningyuan Huang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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 L. 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
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 L. 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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-09 21:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: