Xinyun Chen

ORCID: 0000-0003-4414-0964
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About
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Research Areas
  • Forest ecology and management
  • Forest Management and Policy
  • Plant Water Relations and Carbon Dynamics
  • Advanced Queuing Theory Analysis
  • Remote Sensing and LiDAR Applications
  • Optical Coherence Tomography Applications
  • Environmental Impact and Sustainability
  • Photoacoustic and Ultrasonic Imaging
  • Probability and Risk Models
  • Ultrasound Imaging and Elastography
  • Healthcare Operations and Scheduling Optimization
  • Graphene and Nanomaterials Applications
  • Markov Chains and Monte Carlo Methods
  • Protein Interaction Studies and Fluorescence Analysis
  • Cryptographic Implementations and Security
  • BIM and Construction Integration
  • Opinion Dynamics and Social Influence
  • Digital Rights Management and Security
  • Smart Grid Security and Resilience
  • Mathematics, Computing, and Information Processing
  • Sustainability and Ecological Systems Analysis
  • Elevator Systems and Control
  • Diffusion and Search Dynamics
  • Artificial Intelligence in Law
  • Fire effects on ecosystems

Chengdu University of Traditional Chinese Medicine
2025

Jining Medical University
2024

State Forestry and Grassland Administration
2011-2024

Beijing Information Science & Technology University
2022-2023

Chinese University of Hong Kong, Shenzhen
2019-2022

Chongqing University of Posts and Telecommunications
2020

Wuhan University
2018

Xi'an Polytechnic University
2012

Aviation Industry Corporation of China (China)
2011

Estimating the volume growth of forest ecosystems accurately is important for understanding carbon sequestration and achieving neutrality goals. However, key environmental factors affecting differ across various scales plant functional types. This study was, therefore, conducted to estimate Larix Quercus forests based on national-scale forestry inventory data in China its influencing using random algorithms. The results showed that model performances natural (R2 ​= ​0.65 0.66 Quercus,...

10.1016/j.fecs.2022.100037 article EN cc-by-nc-nd Forest Ecosystems 2022-01-01

We explore an evolutionary search strategy for scaling inference time compute in Large Language Models. The proposed approach, Mind Evolution, uses a language model to generate, recombine and refine candidate responses. approach avoids the need formalize underlying problem whenever solution evaluator is available. Controlling cost, we find that Evolution significantly outperforms other strategies such as Best-of-N Sequential Revision natural planning tasks. In TravelPlanner Natural Plan...

10.48550/arxiv.2501.09891 preprint EN arXiv (Cornell University) 2025-01-16

Large language models have demonstrated impressive performance on challenging mathematical reasoning tasks, which has triggered the discussion of whether is achieved by true capability or memorization. To investigate this question, prior work constructed benchmarks when questions undergo simple perturbations -- modifications that still preserve underlying patterns solutions. However, no explored hard perturbations, fundamentally change nature problem so original solution steps do not apply....

10.48550/arxiv.2502.06453 preprint EN arXiv (Cornell University) 2025-02-10

Forest biomass and carbon storage models are crucial for inventorying, monitoring, assessing forest resources. This study develops specific to China’s diverse forests, offering a methodological foundation national estimation quantitative basis national, regional, global sequestration projections. Utilizing data from 52,700 permanent plots obtained during 9th inventory, we calculated per hectare 35 tree species groups using respective individual factors. We then constructed three-level...

10.3390/f15081305 article EN Forests 2024-07-25

Abstract In the realm of forest resource inventory and monitoring, stand-level biomass carbon models are especially crucial. China, their importance is underscored as they form bedrock for estimating national international storage. This study, based on data from 52,700 permanent plots in 9th National Forest Inventory (NFI) was directed towards developing these models. After computing storage per hectare using specific tree 34 species groups, we devised robust volume-derived 20 types. The...

10.1038/s41598-023-44097-4 article EN cc-by Scientific Reports 2023-10-06

Abstract Oak-dominated forests, economically and ecologically valuable ecosystems, are widely distributed in China. These oak-dominated forests now generally degraded coppice of relatively low quality. Climate change has been shown to affect forest growth, tree mortality, recruitment, but available growth models lacking study climate effects. In this study, a climate-sensitive, transition-matrix model (CM) was developed for uneven-aged, mixed-species oak using data collected from 253 sample...

10.1093/forestry/cpaa035 article EN Forestry An International Journal of Forest Research 2020-09-16

The changes of biomechanical properties, especially the elasticity ocular tissues, are closely related to some ophthalmic diseases. Currently, optical coherence elastography (OCE) systems dedicated either anterior segment or retina. measurements whole eye remain challenging. Here we demonstrated an acoustic radiation force (ARF-OCE) method quantify cornea and experiment results show that Young's moduli retina were 16.66 ± 6.51 kPa 207.96 4.75 kPa, respectively. Our can measure posterior...

10.1364/oe.456065 article EN cc-by Optics Express 2022-04-05

Prediction of forest carbon sink in the future is important for understanding mechanisms concerning increase sinks and emission reduction, realizing climate goals Paris Agreement global neutrality. Based on stand volume data permanent monitoring plots successive national inventories from 2004 to 2018, combined with multiple variables, such as climatic factors, soil properties, attributes, topographic features, random algorithm was used predict growth-loss then calculated biomass its...

10.3390/f13050721 article EN Forests 2022-05-05

In a smart grid, data aggregation is common method to evaluate regional power consumption. Data leakage in the process of transmission poses security threat privacy users. Many existing schemes can only aggregate one-dimensional data; however, it necessary multidimensional practical grid applications. Therefore, this paper proposes privacy-preserving scheme, which and protect individual user’s identity privacy. The proposed scheme proved under random oracle model. simulation results show...

10.1155/2020/8845959 article EN cc-by Security and Communication Networks 2020-12-03

Current Large Language Models (LLMs) are not only limited to some maximum context length, but also able robustly consume long inputs. To address these limitations, we propose ReadAgent, an LLM agent system that increases effective length up 20x in our experiments. Inspired by how humans interactively read documents, implement ReadAgent as a simple prompting uses the advanced language capabilities of LLMs (1) decide what content store together memory episode, (2) compress those episodes into...

10.48550/arxiv.2402.09727 preprint EN arXiv (Cornell University) 2024-02-15

We establish uniform moment bounds for steady-state queue lengths of generalized Jackson networks (GJNs) in multi-scale heavy traffic as recently proposed by Dai et al. [2023]. Uniform lay the foundation further analysis limit stationary distribution. Our result can be used to verify crucial state space collapse (SSC) assumption [2023] a product-form GJN regime. proof critically utilizes Palm version basic adjoint relationship (BAR) developed Braverman

10.48550/arxiv.2401.14647 preprint EN arXiv (Cornell University) 2024-01-25

<title>Abstract</title> Forest biomass and carbon storage models are crucial for inventorying, monitoring, assessing forest resources. This study develops specific to China's diverse forests, offering a methodological foundation national estimation reference regional global sequestration projections. Utilizing data from 52,700 permanent plots obtained during 9th inventory, we calculated per hectare 35 tree species groups using respective factors. We then constructed hierarchical volume-based...

10.21203/rs.3.rs-4160035/v1 preprint EN cc-by Research Square (Research Square) 2024-04-10

We investigate an optimization problem in a queueing system where the service provider selects optimal fee p and capacity \mu to maximize cumulative expected profit (the revenue minus cost delay penalty). The conventional predict-then-optimize (PTO) approach takes two steps: first, it estimates model parameters (e.g., arrival rate service-time distribution) from data; second, optimizes based on estimated parameters. A major drawback of PTO is that its solution accuracy can often be highly...

10.48550/arxiv.2303.03399 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Pathological changes in ocular tissues can cause differences tissue elasticity. Therefore, elasticity is a valuable indicator of early diseases. To measure the tissues, we proposed whole-eye optical coherence elastography (OCE) method. image whole eye, an electrically tunable lens (ETL) was integrated into system to adjust focal plane. For inducing elastic waves entire acoustic radiation force (ARF) from one transducer stimulated anterior segment side and another excited retina front eye....

10.1117/12.2687074 article EN 2023-10-12

Session initiation protocol (SIP), a widely used signal for controlling multimedia communication sessions, is under numerous attacks when performing the authentication steps between user and server. So secure schemes are needed to be presented SIP. Recently, Arshad et al. advanced novel SIP using elliptic curve cryptography (ECC) claimed their can resist various attacks. However, Lu found that al.’s scheme cannot trace key-compromise impersonation attacks; hence, it provide proper mutual...

10.1155/2020/8886585 article EN Wireless Communications and Mobile Computing 2020-11-21
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