Junyi Hu — accepted AI-conference papers

2026

DYNAMICAL ISOMETRY BASED RIGOROUS FAIR NEURAL ARCHITECTURE SEARCH

JianXiang Luo, Junyi Hu, Wenrui Li, Guanghui Cheng

ICASSP 2026poster

Recently, the weight-sharing technique has significantly speeded up the training and evaluation procedure of neural architecture search. However, most existing weight-sharing strategies are solely based on experience or observation, which makes the searching results lack interpretability and rationa…

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2026

ExpAlign: Expectation-Guided Vision–Language Alignment for Open-Vocabulary Grounding

Junyi Hu, Tian Bai, Fengyi Wu, Wenyan Li, Zhenming Peng, Yi ZHANG

ICML 2026poster

Open-vocabulary grounding requires accurate vision-language alignment under weak supervision, yet existing methods either rely on global sentence embeddings that lack fine-grained expressiveness or introduce token-level alignment with explicit supervision or heavy cross-attention designs. We propose…

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