1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CY2026★ 1 cited
Position Paper: Unlocking the Potential of AI Researchers in Scientific Discovery-What Is Missing?
Hengjie Yu, Shuya Liu, Haiyun Yang +3
The potential of AI researchers in scientific discovery remains largely untapped. Over the past decade, AI for Science (AI4Science) publications in 145 Nature Index journals have i…
cs.LG2026
Curriculum-guided multimodal representation learning enables generalizable prediction of nanomaterial-protein interactions
Hengjie Yu, Kenneth A. Dawson, Haiyun Yang +3
Nanomaterial-protein interactions (NPI) are pivotal to realizing the therapeutic and diagnostic potential of nanomaterials. Although AI promises to accelerate mechanistic understan…
cs.NE2025
IP-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
Yingchao Yu, Yaochu Jin, Kuangrong Hao +5
Learning-to-learn (L2L), defined as progressively faster learning across similar tasks, is fundamental to both neuroscience and artificial intelligence. However, its neural basis r…