Yi Liu

A fire hazard level classification method using deep learning models optimized by an improved dung beetle optimization algorithm

Linfan Liu, Yusheng Zhou, Yi Liu, Changfan Zhang, Jing Wang

Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction

Sen Zhao, Cheng Liu, Shuyin Xia, Zhiyuan Liu, Yi Liu, Yi Wang, et al.

Link prediction aims to identify potential or future connections within a given graph structure. Position information is essential for link prediction, as it distinguishes homogeneous nodes through their relative relationships, facilitating the accurate capture of structural patt…Read more

A deep learning framework for standardized interpretation of multiparameter cardiac ultrasound and disease classification

Zhihong Wen, Xiangpeng Liu, Yi Liu, Wenbo Tang, Kang An, Shengli Guo

Echocardiographic interpretation underlies a large share of cardiovascular diagnoses, yet specialist expertise remains unevenly distributed, and quantitative measurements show inter-observer variability of 15–17% that contributes to disagreement in borderline cases. We developed…Read more

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Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability

Yi Liu, Hongda Zhang, Leyao Zou, Chunlei Meng, Ziqing Zhou, Yuning Chen, et al.

Path planning under partial observability remains challenging because an agent must make long-horizon navigation decisions from only locally bounded observations. Nevertheless, historical trajectories contain reusable experience-guided directional preferences. Classical planners,…Read more

MEOX2: a homeobox transcription factor with multifaceted biological functions and broad disease associations

Yi Liu, Minming Yi, Chunrong Tang, Taiqiang Wang, X J Li

The mesenchymal homeobox transcription factor MEOX2 is recognized for its roles in development and homeostasis, but the full landscape of its complex and often contradictory functions in human diseases, along with its potential unifying regulatory logic, remains to be systematica…Read more

One-Shot Federated Learning With Lightweight Intermediate Models in Wireless Sensor Network Setting

Yexin Dou, Haijiang Wang, Jian Wan, Lei Zhang, Jie Huang, Yi Liu

Locally Private Online Quantile Regression: Estimation and Inference

Yi Liu, Qirui Hu

We study estimation and inference for online quantile regression under a one-report user-level $\eps$-locally differentially private ($\eps$-LDP) protocol. The main difficulty is that the standard quantile-regression estimating-equation contribution couples covariates with a resi…Read more

CRISP: A Spatiotemporal Camera-Radar Backbone for Driving via Forecasting-Based World-Model Pretraining

Jingyu Song, Yi Liu, Katherine A. Skinner

Camera-radar (CR) fusion is a practical sensing configuration for autonomous driving, but existing models are typically trained with task-specific supervision, limiting reusable representation learning. We present CRISP, a spatiotemporal CR backbone pretrained through forecasting…Read more

Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code

Zihao Xu, Yuekang Li, Gelei Deng, Yi Liu, Zhenchang Xing

LLM-integrated applications blend natural language prompts with program code, and much of their runtime behavior originates in the prompt layer rather than in the code itself. Existing complexity metrics, however, operate solely at the code level and therefore overlook this behav…Read more

How Does Digital Innovation Empower the Development of New Quality Productive Forces? An Empirical Study Based on Double Machine Learning

Jingwen Zhang, Yi Liu

New quality productive forces (NQPFs) are a key driver for sustainable and high-quality development, where digital innovation (DI) plays a crucial role in promoting the evolution of NQPFs. Based on this, this paper takes 2740 A-share listed companies from 2011 to 2022 as research…Read more