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Hailiang Liu

3 papers · 2022–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

ICLR (2) NeurIPS (1)

Top co-authors

Tianxiang Gao (3) Hongyang Gao (3) Xiaokai Huo (1) Siyuan Sun (1) Hridesh Rajan (1) Jia Liu (1)

Research topics

Deep Learning (2) Machine Learning (2) Optimization & Theory · Machine Learning (2) Artificial Intelligence (1) Mathematics & Optimization (1) Architectures (1) Core AI (1) Mathematics (1) Optimization & Theory · Deep Learning (1)

Keywords

gradient descent (2) global convergence (2) relu activation (1) neural ordinary differential equation (1) implicit neural network (1) activation function (1) infinite width (1) overparameterized regime (1) kernel methods (1) neural network (1) neural tangent kernel (1) deep equilibrium (1) gaussian process (1)

Papers

Global Convergence in Neural ODEs: Impact of Activation Functions ICLR 2025 Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models NeurIPS 2023 A global convergence theory for deep ReLU implicit networks via over-parameterization ICLR 2022