🏢 Zhejiang University

Bridge-IF, a novel generative diffusion model, excels at inverse protein folding by learning probabilistic dependencies between protein structures and sequences, significantly outperforming existing m…

O-BELM, a novel diffusion model sampler, achieves mathematically exact inversion with superior sampling quality, offering a new gold standard for diffusion model applications.

Pattern-BERP, a novel method, boosts biological entity relationship prediction accuracy by 4-23% using association pattern-aware fusion, enhancing interpretability for real-world applications.

AOPU: A novel neural network achieves superior stability in regression network training by approximating the natural gradient, minimizing variance estimation, and enhancing robustness.

This paper introduces a parametric World Knowledge Model (WKM) to improve AI agent planning by integrating both global task knowledge and dynamic state knowledge, thereby overcoming current LLMs’ limi…

Rate-based backpropagation boosts deep spiking neural network training efficiency by leveraging rate coding, achieving comparable performance to BPTT with reduced complexity.

Ada-MSHyper: A novel adaptive multi-scale hypergraph transformer significantly boosts time series forecasting accuracy by modeling group-wise interactions and handling complex temporal variations.

TwinAct: Decoupling actions and actors for customizable text-guided action image generation.

A2PO: A novel offline RL method tackles constraint conflicts in mixed-quality datasets by disentangling behavior policies with a conditional VAE and optimizing advantage-aware constraints, achieving s…

Depth-range-free MVS network using pose embedding achieves robust and accurate 3D reconstruction.

CAST: a novel consistency-aware spot-guided Transformer achieves state-of-the-art accuracy and efficiency in point cloud registration.