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Zongyan Zhang

2 accepted papers

2026

ProOPF: Benchmarking and Improving LLMs for Professional-Grade Power Systems Optimization Modeling

ICML 2026poster

Growing renewable penetration introduces substantial uncertainty into power system operations, necessitating frequent adaptation of dispatch objectives and constraints and challenging expertise-intensive, near-real-time modeling workflows. Large Language Models (LLMs) provide a promising avenue for …

Cited by 0SourceScholar
2025

TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging

ICCV 2025poster

Face aging is a typical ill-posed problem influenced by various factors such as environment and genetics, leading to highly diverse outcomes. However, existing methods primarily rely on numerical age representations, making it difficult to accurately capture individual or group-level aging patterns.…