Lizhang Chen

4 papers · 2024–2025 · 3 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 🗺️ Taxonomy Completionist (14)

Venues

NeurIPS (2) AISTATS (1) ICLR (1)

Top co-authors

Bo Liu (4) Qiang Liu (4) Kaizhao Liang (3) Chen Liang (1) Son Nguyen (1) Raghuraman Krishnamoorthi (1) Lemeng Wu (1) Jiaxu Zhu (1)

Research topics

Machine Learning (3) Optimization & Theory · Machine Learning (3) Deep Learning (2) Application Areas (2) Optimization & Theory · Deep Learning (2) Artificial Intelligence (1) Mathematics & Optimization (1) Core AI (1) Core Methods (1) Models (1) Optimization (1) Techniques (1)

Keywords

neural network optimization (2) model compression (2) constrained optimization (1) lyapunov function (1) gradient descent (1) singular value decomposition (1) distributed training (1) communication efficiency (1) convergence guarantee (1) memory efficiency (1) model training (1) weight decay (1) momentum method (1) subspace descent (1) hamiltonian dynamics (1) low-rank training (1) adaptive optimizer (1) large language model (1) memory overhead (1) large language model training (1)

Papers

Memory-Efficient Optimization with Factorized Hamiltonian Descent AISTATS 2025 Communication Efficient Distributed Training with Distributed Lion NeurIPS 2024 Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts ICLR 2024 Memory-Efficient LLM Training with Online Subspace Descent NeurIPS 2024