Ningyuan Huang

26 papers A* 3A 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	4DRaL: Bridging 4D Radar with LiDAR for Place Recognition using Knowledge Distillation. CoRR Ningyuan Huang, Zhiheng Li, Zheng Fang
2026	J	`jnl`	Any-Subgroup Equivariant Networks via Symmetry Breaking. CoRR Abhinav Goel, Derek Lim, Hannah Lawrence, Stefanie Jegelka, Ningyuan Huang
2026	J	`jnl`	World Guidance: World Modeling in Condition Space for Action Generation. CoRR Yue Su, Sijin Chen, Haixin Shi, Mingyu Liu, Zhengshen Zhang, Ningyuan Huang, Weiheng Zhong, Zhengbang Zhu, Yuxiao Liu, Xihui Liu
2025	A*	`conf`	CAO-RONet: A Robust 4D Radar Odometry with Exploring More Information from Low-Quality Points. ICRA Zhiheng Li, Yubo Cui, Ningyuan Huang, Chenglin Pang, Zheng Fang
2025	J	`jnl`	CAO-RONet: A Robust 4D Radar Odometry with Exploring More Information from Low-Quality Points. CoRR Zhiheng Li, Yubo Cui, Ningyuan Huang, Chenglin Pang, Zheng Fang
2025	J	`jnl`	CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning. CoRR Ningyuan Huang, Richard Stiskalek, Jun-Young Lee, Adrian E. Bayer, Charles C. Margossian, Christian Kragh Jespersen, Lucia A. Perez, Lawrence K. Saul, Francisco Villaescusa-Navarro
2025	J	`jnl`	Multi-View Graph Learning with Graph-Tuple. CoRR Shiyu Chen, Ningyuan Huang, Soledad Villar
2025	A	`conf`	RDN: An Efficient Denoising Network for 4D Radar Point Clouds. IROS Ningyuan Huang, Zhiheng Li, Chenglin Pang, Zheng Fang
2025	J	`jnl`	Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity. CoRR Ningyuan Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodríguez, Luca Zappella, Federico Danieli
2024	J	`jnl`	An EEG abnormality detection algorithm based on graphic attention network. Multim. Tools Appl. Junwei Duan, Fei Xie, Ningyuan Huang, Ningdi Luo, Ziyu Guan, Wei Zhao, Gang Gao
2024	J	`jnl`	Learning functions on symmetric matrices and point clouds via lightweight invariant features. CoRR Ben Blum-Smith, Ningyuan Huang, Marco Cuturi, Soledad Villar
2023	A*	`conf`	Approximately Equivariant Graph Networks. NeurIPS Ningyuan Huang, Ron Levie, Soledad Villar
2023	J	`jnl`	Approximately Equivariant Graph Networks. CoRR Ningyuan Huang, Ron Levie, Soledad Villar
2023	A*	`conf`	Fine-grained Expressivity of Graph Neural Networks. NeurIPS Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
2023	J	`jnl`	Fine-grained Expressivity of Graph Neural Networks. CoRR Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
2023	—	`conf`	Prospective Learning: Principled Extrapolation to the Future. CoLLAs 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 S. 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
2022	J	`jnl`	A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants. CoRR Ningyuan Huang, Soledad Villar
2022	J	`jnl`	A Simple Spectral Failure Mode for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
2022	J	`jnl`	Deep Learning is Provably Robust to Symmetric Label Noise. CoRR Carey E. Priebe, Ningyuan Huang, Soledad Villar, Cong Mu, Li Chen
2022	J	`jnl`	Deep Learning with Label Noise: A Hierarchical Approach. CoRR Li Chen, Ningyuan Huang, Cong Mu, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
2022	J	`jnl`	Endowing Language Models with Multimodal Knowledge Graph Representations. CoRR Ningyuan Huang, Yash R. Deshpande, Yibo Liu, Houda Alberts, Kyunghyun Cho, Clara Vania, Iacer Calixto
2022	J	`jnl`	From Local to Global: Spectral-Inspired Graph Neural Networks. CoRR Ningyuan Huang, Soledad Villar, Carey E. Priebe, Da Zheng, Chengyue Huang, Lin Yang, Vladimir Braverman
2022	J	`jnl`	Graph Neural Networks for Community Detection on Sparse Graphs. CoRR Luana Ruiz, Ningyuan Huang, Soledad Villar
2022	J	`jnl`	Prospective Learning: Back to the Future. CoRR 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 S. 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
2020	J	`jnl`	A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
2020	J	`jnl`	Dimensionality reduction, regularization, and generalization in overparameterized regressions. CoRR Ningyuan Huang, David W. Hogg, Soledad Villar