1 citations · 1 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
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…
Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
Wenhao Deng, Long Wei, Chenglei Yu +1
Reinforcement learning with verifiable rewards (RLVR) has recently enhanced the reasoning capabilities of large language models (LLMs), particularly for mathematical problem solvin…
BuildArena: A Physics-Aligned Interactive Benchmark of LLMs for Engineering Construction
Tian Xia, Tianrun Gao, Wenhao Deng +4
Engineering construction automation aims to transform natural language specifications into physically viable structures, requiring complex integrated reasoning under strict physica…
FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction
Qianru Zhang, Chenglei Yu, Haixin Wang +5
Time series prediction, a crucial task across various domains, faces significant challenges due to the inherent complexities of time series data, including non-stationarity, multi-…
On the Guidance of Flow Matching
Ruiqi Feng, Chenglei Yu, Wenhao Deng +2
Flow matching has shown state-of-the-art performance in various generative tasks, ranging from image generation to decision-making, where generation under energy guidance (abbrevia…