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Qiang Luo

2 accepted papers

2026

AetherCode: Evaluating LLMs’ Ability to Win In Premier Programming Competitions

ICLR 2026poster

Competitive programming has emerged as a critical benchmark for evaluating the reasoning and coding capabilities of Large Language Models (LLMs). Despite impressive progress on existing benchmarks, we argue that current evaluations overstate model proficiency, masking a substantial gap between LLMs…

Cited by 0SourceScholar
2024

A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition

AAAI 2024technical

The human brain can effortlessly and reliably perceive emotions, whereas existing facial emotion recognition (FER) methods suffer from drawbacks such as complex model structures, high storage requirements, and poor interpretability. Inspired by the role of emotion concepts in visual perception codin…