Skip to content

Author

Li-Yan Liu

We have 4 of 4 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Jul 2026

Temporal trends, risk factors, and future projections of gastric cancer burden in China, India, and the United States: a GBD 2023 analysis

The prevalence of gastric cancer (GC) in China, India, and the USA has different epidemiology, but comparative analyses with regard to their time trends and causes are underdeveloped. Using the 2023 Global Burden of Disease (GBD) database (1990–2023), we evaluated GC trends via Joinpoint regression. Das Gupta decomposition and comparative risk assessment quantified demographic/epidemiological drivers and behavioral risks. ARIMA models projected the burden through 2040. Globally, gastric cancer age-standardized incidence rates (ASIR) declined from 26.31 to 14.00 per 100,000 between 1990 and 2023, whereas absolute incident cases increased from 1.05 to 1.28 million. China maintained the highest disease burden in 2023 (ASIR: 25.04/100,000) despite achieving the steepest reductions in age-standardized incidence, mortality, and DALY rates. India demonstrated the slowest decline in age-standardized rates, while incident cases nearly doubled from 42,800 to 85,400 during the study period. Joinpoint analysis identified significant upward ASIR trends after 2020 in China (APC = 3.62) and globally (APC = 1.61). Smoking remained the leading attributable risk factor, particularly in China. Decomposition analysis showed that population aging and growth were the principal drivers of increasing absolute burden. ARIMA projections suggested that China will continue to carry the highest gastric cancer burden through 2040. Despite declining standardized rates, population aging and growth continue to drive absolute case numbers upward. To mitigate this evolving burden, China requires optimized early screening and stringent behavioral risk control; India needs expanded cancer registry coverage and equitable rural healthcare access; while the USA should prioritize targeted strategies to mitigate internal disparities among subpopulations.

Feng Lin, Xue-Ying Wei, Li-Huan Song et al. · 0 citations
Preprint Aug 2026

DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal Agents

DeepVoyager-VL is proposed, a long-horizon multimodal deep-search framework for vision-in-the-loop search that constructs a multimodal event graph to drive data synthesis, yielding problems with intermediate visual dependencies and long reasoning chains.

Huan-Yao Zhang, Jie-Peng Zhou, Ru Zhao et al. · 0 citations
Jul 2026

SearchArt: Training Long-Horizon Search Agent with Scalable Synthetic and Verified Task

SearchArt is introduced, a scalable framework for training long-horizon search agents through verification-driven task synthesis and a multi-stage post-training pipeline, which exhibits adaptive search planning, iterative evidence aggregation, and complex reasoning over extended interaction horizons.

Lang Mei, Xiaohan Yu, Chong Chen et al. · 1 citation
Jul 2026

AgentOmnia: Scaling Agentic Models for Full-Scenario Applications

A one-round study provides initial evidence for PRD-guided self-evolution, motivating validation at larger scales and in industrial settings, and presents AgentOmnia, a framework coordinating task-space definition, data synthesis, post-training, evaluation, and improvement across To-Consumer (ToC), To-Business (ToB), and To-Employee (ToE) applications.

Hao Jiang, Gang-Tao Xin, Ying Huang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.