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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Yong-Hong Tian

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Preprint Oct 2026

RipplePLM: Structural and Property Decoupling for Protein Mutation Effect Generation

Protein mutation effect generation asks a model to describe the functional consequence of a point mutation in natural language. Existing protein-to-text systems typically encode mutation information into undifferentiated representations, overlooking the organization of mutation-induced evidence across structural and bi...

Liuzhenghao Lv, Yu-Yang Liu, Yu-Yang Gao et al. · 0 citations
Aug 2026

TCRspec: A Recognition Interface-Informed Multimodal Method for TCR-pMHC Specificity Prediction.

TCRspec, an interpretable multimodal framework combining sequence embeddings, gene-usage features, and complex-level structural representations, providing a structure-informed framework for TCR specificity prediction, is developed.

Jia Zou, Zong-Ying Lin, Yi-Min Wang et al. · 0 citations
Preprint Aug 2026

UniWorld-View: Large-Baseline View Synthesis via Video Diffusion Models

UniWorld-View is introduced, a unified framework for controllable large-baseline novel view synthesis from monocular inputs that integrates explicit 3D guidance with generative diffusion modeling to enable precise camera control and geometrically consistent view generation.

Hai-Yang Zhou, Wang-Bo Yu, Chaoran Feng et al. · 2 citations
Preprint Jul 2026

Hypothesis-and-Refinement Learning of Organic Structures from Multimodal Spectroscopic Data

Determining molecular structures from spectroscopic data remains fundamentally challenging because the inverse problem is intrinsically underdetermined: individual spectra are sparse, low-dimensional, and encode only partial structural evidence relative to the vast space of possible molecules. We address this challenge...

Chengchun Liu, Zhiyuan Yan, Li Yuan et al. · 0 citations
Aug 2026

DiConSite: A Unified Topology-Adaptive Architecture for Protein Binding Site Prediction Across Ligand Modalities.

By combining protein language model embeddings with topology-adaptive geometric reasoning, DiConSite offers a reusable framework for residue-level protein interaction analysis and achieves consistently strong and often best-performing results, while improving robustness to structural uncertainty and cross-modal variati...

Shou-Zhi Chen, Zhen-Chao Tang, Lin-Lin You et al. · 1 citation
Open access Jul 2026

Navigating chemical-linguistic sharing space with heterogeneous molecular encoding

HME is presented, a framework that combines multiple views of molecules to improve molecular understanding and design and enables bidirectional navigation of the chemical-linguistic space, achieving consistent improvements across molecular comprehension and design tasks over strong baselines.

Liuzhenghao Lv, Hao Li, Yu Wang et al. · 0 citations

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