Chunyang Liao

13 papers A* 2Journal 11
YearRankTypeTitle / Venue / Authors
2026 A* conf
Semantic Embedding and Synthetic Augmentation for Longitudinal Survey Prediction (Student Abstract).
AAAI
Julia Rezvani, Alina Hyk, Thuyen Pham, Leonardo Marciaga, Chunyang Liao, Raffaele Vardavas, Konstantinos Mitsopoulos
2026 J jnl
Solving partial differential equations with random feature models.
Commun. Nonlinear Sci. Numer. Simul.
Chunyang Liao
2025 J jnl
Cauchy Random Features for Operator Learning in Sobolev Space.
CoRR
Chunyang Liao, Deanna Needell, Hayden Schaeffer
2025 J jnl
Solving Partial Differential Equations with Random Feature Models.
CoRR
Chunyang Liao
2024 J jnl
Differentially Private Random Feature Model.
CoRR
Chunyang Liao, Deanna Needell, Alexander Xue
2024 J jnl
Radius of information for two intersected centered hyperellipsoids and implications in optimal recovery from inaccurate data.
J. Complex.
Simon Foucart, Chunyang Liao
2023 J jnl
On the Optimal Recovery of Graph Signals.
CoRR
Simon Foucart, Chunyang Liao, Nate Veldt
2023 J jnl
S-Procedure Relaxation: a Case of Exactness Involving Chebyshev Centers.
CoRR
Simon Foucart, Chunyang Liao
2022 A* conf
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks.
NeurIPS
Mingrui Liu, Zhenxun Zhuang, Yunwen Lei, Chunyang Liao
2022 J jnl
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks.
CoRR
Mingrui Liu, Zhenxun Zhuang, Yunwei Lei, Chunyang Liao
2021 J jnl
Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, but what of the Parameter?
CoRR
Simon Foucart, Chunyang Liao
2020 J jnl
Learning from Non-IID Data in Hilbert Spaces: An Optimal Recovery Perspective.
CoRR
Simon Foucart, Chunyang Liao, Shahin Shahrampour, Yinsong Wang
2003 J jnl
Preliminary approach to estimation and prediction of infrared spectroscopy for Mannich bases by atomic electronegativity distance vector (VAED).
Comput. Biol. Chem.
Chunyang Liao, Zhitao Chen, Zihui Yin, Shengshi Z. Li