About Liangyu Wang Liangyu Wang Ph.D. Student, Computer Science LLM efficient deep learning architectures Reinforcement Learning Efficient AI privacy-preserving AI Liangyu Wang's research focuses on efficient systems and optimization for large language models, including distributed training and inference, GPU systems, zeroth-order optimization, privacy-preserving training, and matrix-based optimizers. Events Presented Events Sep 6 - Sep 12, 2026 Algorithmically Faithful and System-Efficient Optimization for Large Language Models Liangyu Wang, Ph.D. Student, Computer Science Sep 8, 13:30 - 16:30 B4 R5209; Zoom Meeting 99767080624 LLM Neural Network training algorithms Optimization for Machine Learning LLM training systems The thesis develops an optimizer-aware systems view in which these methods are treated as structured computations with algorithmic invariants, memory behavior, communication objects, and scheduling constraints.
Algorithmically Faithful and System-Efficient Optimization for Large Language Models Liangyu Wang, Ph.D. Student, Computer Science Sep 8, 13:30 - 16:30 B4 R5209; Zoom Meeting 99767080624 LLM Neural Network training algorithms Optimization for Machine Learning LLM training systems The thesis develops an optimizer-aware systems view in which these methods are treated as structured computations with algorithmic invariants, memory behavior, communication objects, and scheduling constraints.
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