Hailiang Liu

Full Professor, Iowa State University

Joined

July 2019

Names

Hailiang Liu (Preferred)

Emails

****@iastate.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Iowa State University (iastate.edu)

2002 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

stochastic optimization

2018 – Present

PDE models and Numerical Analysis

2002 – Present

Publications

Global Convergence in Neural ODEs: Impact of Activation Functions
Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao
- ICLR 2025 Oral
- Readers: Everyone
Infinitely Deep Residual Networks: Unveiling Wide Neural ODEs as Gaussian Processes
Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
- Submitted to ICLR 2024
- Readers: Everyone
Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
- NeurIPS 2023 poster
- Readers: Everyone
Optimal control neural networks for data-driven discovery of gradient flows.
Xuping Tian, Baskar Ganapathysubramanian, Hailiang Liu
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
OTCOP: Learning optimal transport maps via constraint optimizations
Xiaokai Huo, Hailiang Liu
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
SGDEM: stochastic gradient descent with energy and momentum
Hailiang Liu, Xuping Tian
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
A global convergence theory for deep ReLU implicit networks via over-parameterization
Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone

Co-Authors