Visualizing the knowledge domain of embodied language cognition: A bibliometric review. - Huili Wang; Xiaoli Yan; Hanning Guo (Digit. Scholarsh. Humanit., 2019)

HSDet: A Representative Sampling Based Object Detector in Cervical Cancer Cell Images. - Xiaoli Yan; Zhongsi Zhang (BIC-TA, 2020)

A Chaotic Feature Extraction Based on SMMF and CMMFD for Early Fault Diagnosis of Rolling Bearing. - Xiaoli Yan; Guiji Tang; Xiaolong Wang 011 (IEEE Access, 2020)

Chaotic Signal Denoising Based on Adaptive Smoothing Multiscale Morphological Filtering. - Guiji Tang; Xiaoli Yan; Xiaolong Wang 011 (Complex., 2020)

Robust Newsvendor Problem in Global Market: Stable Operation Strategy for a Two-Market Stochastic System. - Xiaoli Yan (CoRR, 2022)

GHP-MOFassemble: Diffusion modeling, high throughput screening, and molecular dynamics for rational discovery of novel metal-organic frameworks for carbon capture at scale. - Hyun Park; Xiaoli Yan; Ruijie Zhu 004; Eliu A. Huerta; Santanu Chaudhuri; Donny Cooper; Ian T. Foster; Emad Tajkhorshid (CoRR, 2023)

Robust decision of supply chain with risk aversion under supply uncertainty. - Xiaoli Yan; Hui Yu (J. Ambient Intell. Humaniz. Comput., 2023)

DCCN: A dual-cross contrastive neural network for 3D point cloud representation learning. - Xiaopeng Wu; Guangsi Shi; Zexing Zhao; Mingjie Li 006; Xiaojun Gao; Xiaoli Yan (Expert Syst. Appl., 2024)

Advance selling under uncertain supply and demand: a robust newsvendor perspective. - Hui Yu; Xiaoli Yan (Int. Trans. Oper. Res., 2024)

Global Robust Newsvendor Operation Strategy for a Two-Market Stochastic Inventory System. - Xiaoli Yan; Hui Yu (Asia Pac. J. Oper. Res., 2024)

Performance Degradation Assessment for Bearing Based on Angle-Time Cyclostationarity. - Xiaoli Yan; Yuchen Song; Zhetian Wang; Zong Meng; Lide Fang (IEEE Trans. Instrum. Meas., 2025)

MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow. - Xiaoli Yan; Nathaniel Hudson; Hyun Park; Daniel Grzenda; J. Gregory Pauloski; Marcus Schwarting; Haochen Pan; Hassan Harb; Sam Foreman; Chris Knight 001; Tom Gibbs; Kyle Chard; et al. (CoRR, 2025)