Qiang Wang

Treatment protocol for pneumonia with acute kidney injury: effects of ulinastatin combined with CRRT on inflammatory factors and renal function in patients

B Li, Shuai Luo, Qiang Wang

Background The optimal treatment for patients with pneumonia complicated by acute kidney injury (AKI) remains challenging. This study aims to investigate the clinical efficacy and safety of combining ulinastatin with continuous renal replacement therapy (CRRT) in these patients,…Read more

An interpretable nomogram for positive surgical margin risk after laparoscopic and robot-assisted radical prostatectomy: a single-centre development and internal validation study

Qiang Wang, Xie SL, Xiaolu Jiang, Huiyu Gao, Qi Li, X iao-ming Wang, et al.

Learning a System-Level Surrogate for Hydraulic Excavators: A Simulation-to-Real LSTM Approach

Shuai Wang, Shen Wang, Qiang Wang, Muguo Du, Donghai Shi, Chenyu Wang, et al.

Developing autonomous hydraulic excavators is constrained by limited access to physical machines and the high cost of real-world experimentation. This paper proposes a simulation-to-real framework for learning a system-level digital surrogate using Long Short-Term Memory (LSTM) n…Read more

Dynamic Constraint Reconstruction Based Control Barrier Functions for Safety-Critical Control of High-Dimensional Manipulators

Bingsheng Zhang, Shen Wang, Qiang Wang, Muguo Du, Donghai Shi, Xiaofeng Tao

Control barrier functions (CBFs) provide formal safety guarantees for constrained nonlinear systems, but their effectiveness relies on accurate system dynamics. In high-dimensional manipulators subject to unknown disturbances and model uncertainties, fixed safety constraints cons…Read more

MCPEvol-Bench: Benchmarking LLM Agent Performance Across Dynamic Evolutions of MCP Servers

Huanxi Liu, Kun Hu, Jiaqi Liao, Qiang Wang, Pengfei Qian, YuanZhao Zhai, et al.

As Model Context Protocol (MCP) servers emerge as the core infrastructure for connecting LLMs with external tools, existing benchmarks leverage real-world MCP servers to evaluate LLM agents' tool-using capabilities. However, these benchmarks overlook the continuous evolution of t…Read more

LPM: Industrial-Scale Generative Video Restoration

Bichuan Zhu, Fulin Li, Jiachao Gong, Jinhua Hao, Kai Zhao, Kun Yuan, et al.

We present the Large Processing Model (LPM), a diffusion-based generative framework for photorealistic video restoration under complex, in-the-wild degradations. To our knowledge, LPM is the first generative video restoration model deployed at industrial scale. LPM addresses the…Read more

Heterogeneous Tactile Transformer

Jianxin Bi, Qiang Wang, Jayaram Reddy, Kelvin Lin, Soibkhon Khajikhanov, Ruihan Gao, et al.

Tactile sensors are inherently heterogeneous: a model trained on one sensor cannot be directly used on another, which limits learning contact-rich manipulation policies from diverse tactile data at scale. To bridge this gap, we propose the Heterogeneous Tactile Transformer (HTT),…Read more

A Comparative Study of Machine Learning and Deep Learning Models for Long-Term Snow Depth Inversion

Tingyu Lu, Rong Fan, Lijuan Zhang, Qiang Wang, Yufeng Zhao, Lei Wang, et al.

Snow depth is a critical parameter for characterizing snow dynamics and water resources, and its accurate inversion is essential for hydrological processes, climate studies, and disaster prevention in cold regions. Based on long-term daily ground meteorological observation data f…Read more

A review of machine learning applications in inland and nearshore water color remote sensing: from preprocessing to object detection and parameter estimation

Jiarui Shi, Zuchuan Li, Ge Liu, C. Fang, Z. Wen, Y. Shang, et al.