3 citations · 6 across the 7 of their papers we have counts for
7 papers
Boundaries Program Deformation in Isolated Active Networks
Zixiang Lin, Shichen Liu, Shahriar Shadkhoo +9
Cellular structures must organize themselves within strict physical constraints, operating with finite resources and well-defined boundaries. Classical systems demonstrate only pas…
Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End
Renato Berlinghieri, Yunyi Shen, Jialong Jiang +1
Scientists often want to make predictions beyond the observed time horizon of "snapshot" data following latent stochastic dynamics. For example, in time course single-cell mRNA pro…
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang, Wenkang Hu, Jian Huang +2
The rapid advancement of generative models, such as Stable Diffusion, raises a key question: how can synthetic data from these models enhance predictive modeling? While they can ge…
Therapeutic algebra of immunomodulatory drug responses at single-cell resolution
Jialong Jiang, Sisi Chen, Tiffany Tsou +10
Therapeutic modulation of immune states is central to the treatment of human disease. However, how drugs and drug combinations impact the diverse cell types in the human immune sys…
Programming Boundary Deformation Patterns in Active Networks
Zijie Qu, Jialong Jiang, Heun Jin Lee +3
Active materials take advantage of their internal sources of energy to self-organize in an automated manner. This feature provides a novel opportunity to design micron-scale machin…
Persistent fluid flows defined by active matter boundaries
Zijie Qu, Dominik Schildknecht, Shahriar Shadkhoo +5
Biological systems achieve precise control over ambient fluids through the self-organization of active protein structures including flagella, cilia, and cytoskeletal networks. In a…
Active Learning of Spin Network Models
Jialong Jiang, David A. Sivak, Matt Thomson
The inverse statistical problem of finding direct interactions in complex networks is difficult. In the natural sciences, well-controlled perturbation experiments are widely used t…