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Author

Yue Huang

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#artificial intelligence Open access Feb 2026

Agentic AI for Scalable and Robust Optical Systems Control

The results demonstrate that AgentOptics provides a scalable and robust interface for natural-language-driven control and orchestration of heterogeneous optical devices and systems.

Ze-Hao Wang, Ming-Lun Han, Wei Cheng et al. · 4 citations
Book Open access Aug 2026

From VAEs to Diffusion and LLMs: Modern Generative Models for Molecular Discovery

This tutorial provides a unified introduction to modern generative modeling approaches for molecular generation, covering their theoretical foundations, algorithmic design, and practical considerations for molecular representations such as 1D SMILES strings, 2D molecular graphs, and 3D structures.

Ke-Han Guo, Yili Shen, Jeehyun Hwang et al. · 0 citations
Book Open access Aug 2026

AutoDavis: Automatic and Dynamic Evaluation Protocol of Large Vision-Language Models on Visual Question-Answering

AutoDavis is introduced, a first-of-its-kind automatic and dynamic evaluation protocol that enables on-demand benchmarking of LVLMs across specific capability dimensions and shows effectiveness and reliability, offering a new paradigm for dynamic benchmarking of multimodal intelligence.

Han Bao, Yue Huang, Yan-Bo Wang et al. · 0 citations
Book Open access Aug 2026

From VAEs to Diffusion and LLMs: Modern Generative Models for Molecular Discovery

This tutorial provides a unified introduction to modern generative modeling approaches for molecular generation, covering their theoretical foundations, algorithmic design, and practical considerations for molecular representations such as 1D SMILES strings, 2D molecular graphs, and 3D structures.

Kehan Guo, Yili Shen, Jeeyhun Hwang et al. · 0 citations
Book Open access Aug 2026

AutoDavis: Automatic and Dynamic Evaluation Protocol of Large Vision-Language Models on Visual Question-Answering

AutoDavis is introduced, a first-of-its-kind automatic and dynamic evaluation protocol that enables on-demand benchmarking of LVLMs across specific capability dimensions and shows effectiveness and reliability, offering a new paradigm for dynamic benchmarking of multimodal intelligence.

Han Bao, Yue Huang, Yanbo Wang et al. · 0 citations

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