collaborators

5 papers

cs.LG2026

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control

Bangyan Liao, Chenglei Yu, Yuchen Yang +4

Linear Quadratic Stochastic Optimal Control (LQ-SOC) establishes a fundamental framework for steering noisy dynamical systems and has recently gained renewed interest in the machin…

q-bio.GN2026

PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference

Chenglei Yu, Chuanrui Wang, Bangyan Liao +1

Single-cell trajectory inference from destructive time-course snapshots is fundamentally ill-posed: neither cross-time cell correspondences nor continuous trajectories are observed…

cs.LG2026

GGBall: Graph Generative Model on Poincaré Ball

Tianci Bu, Chuanrui Wang, Hao Ma +3

Generating graphs with hierarchical structures remains a fundamental challenge due to the limitations of Euclidean geometry in capturing exponential complexity. Here we introduce \…

cs.LG2026

RealPDEBench: A Benchmark for Complex Physical Systems with Real-World Data

Peiyan Hu, Haodong Feng, Hongyuan Liu +13

Predicting the evolution of complex physical systems remains a central problem in science and engineering. Despite rapid progress in scientific Machine Learning (ML) models, a crit…

q-bio.QM2026

scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction

Chenglei Yu, Chuanrui Wang, Bangyan Liao +1

A central goal in systems biology and drug discovery is to predict the transcriptional response of cells to perturbations. This task is challenging due to the noisy and sparse natu…