2025-09-29

On September, 2025, the Essential Science Indicators (ESI) database was updated to show that in the internationally renowned journal Environmental Science & Technology (ranked in the first zone of the Chinese Academy of Sciences), The Paper "Fukushima Contaminated Water Risk Factor: Global Implications" published in IF = 11.3 was selected as an ESI Highly Cited Paper.

In response to the lack of quantification and integration in the risk assessment of the discharge of nuclear-contaminated water from Fukushima into the sea, the research team innovatively proposed the "Fukushima Nuclear-Contaminated Water Risk Factor" (FCWRF). This indicator integrates the three major risks of nuclide diffusion, bioenrichment and global seafood trade, achieving a comprehensive quantitative assessment of risks. Research shows that the combined risk will spread to six continents around the world, and its spread speed is six times faster than that driven by ocean currents. FCWRF Bridges the barriers between different fields of radionuclide risk assessment and provides a scientific basis for formulating global response strategies. Furthermore, the team has released the Fukushima risk visualization website, which dynamically displays the spatiotemporal evolution of FCWRF and makes the data available for download.

Note: ESI highly cited papers refer to academic papers published in the past ten years and ranked in the top 1% of global citations in the same discipline. They can provide references for cutting-edge research in the discipline and can be used in the scientific research evaluation system.

2025-09-20

On September 20th, marking the 45th anniversary of the founding of the China Graphics Society, the 10th China Graphics Conference officially kicked off in Wuhan, Hubei Province. This conference, themed "Intelligent Computing Symbiosis · Graph Opening a New Chapter", is hosted by the China Graphics Society. The participants, centering on the three main lines of "original software, key equipment, and scene applications", jointly explored new paths for the deep integration and innovative development of graphics and intelligent technologies.

At the conference, I was honored to be awarded the title of "Outstanding Individual Member" by the China Graphics Society. This honor is an affirmation of my active participation in the society's work and my efforts to promote the development of graphics over the past five years (2021-2025). At the same time, the second meeting of the 8th Editorial Board of the Journal of Graphics was successfully held. I was honored as a dedicated and devoted editorial board member of the Journal of Graphics in 2025 and delivered a speech as a representative of the awardees. These honors are not only encouragement but also motivation.

This conference lasts for three days and has organized over 40 academic activities, covering various aspects such as cutting-edge forums, technical discussions, and popular science lectures, providing a high-quality platform for communication and cooperation for experts and scholars in the field of graphics.

2025-09-12

Congratulations to Liu Yi on successfully defending his doctoral dissertation at Tsinghua University!

Liu Yi's paper is titled "Digital Twin-based Multi-scale Marine Environment Simulation and Offshore Engineering Structure Analysis". This research focuses on the problems such as the difficulty in integrating multi-source heterogeneous data, complex model coupling, low computational efficiency, and the lack of collaborative tools in Marine environment and engineering structure analysis. It takes digital twin technology as the core A theoretical and methodological system covering "environmental simulation - structural analysis - platform integration" has been constructed. Based on the theory of complex systems, a digital twin framework coupling cross-scale environmental and structural sub-models was proposed. The coarse-grained Navier-Stokes simulation and large-scale Marine environment calculation methods were developed. A multi-scale simulation model for pollutant diffusion was established, and its effectiveness was verified in the simulation of the discharge of nuclear-contaminated water from Fukushima. In terms of structural analysis, an efficient sparse matrix solution algorithm and a dynamic response order reduction model were proposed. By combining monitoring data with neural networks, mechanical state inversion and stress prediction were achieved (with an accuracy rate of 87.5%). Ultimately, an independent integrated simulation platform was developed, achieving a deep integration of multi-scale environments and structures, providing key technical support for the full life cycle management of Marine engineering and the development of domestic industrial software.

Note: During his study period, Liu Yi published a total of 10 academic papers (4 of which were indexed by SCI and published in journals such as National Science Review, Ocean Engineering, and Environmental Science & Technology). Five authorized invention patents and two software Copyrights have been obtained, and the achievements have received unanimous praise from experts.

2025-08-30

Paper Multimodal data fusion for ergonomic assessment of construction workers in visually obstructed environments has been published in the journal Automation in Construction.

Work-related musculoskeletal disorders are the leading cause of nonfatal injuries in the construction industry. Ergonomic assessment methods can effectively prevent these disorders. Vision-based ergonomic risk assessment methods are widely applied in construction sites due to their cost-effectiveness and non-invasiveness. However, existing vision-based methods often face challenges in accurately estimating worker pose in real construction sites with visually obstructed environments, such as self-obstruction, object obstruction, and body parts out of view. Additionally, these methods lack consideration of external load factors for ergonomics. To overcome these issues, this paper proposes a multimodal ergonomic assessment method, combining visual data and pressure signals. Multimodal method integrates pressure and visual data in a unified feature space, improving pose estimation results and providing external load metrics for a more comprehensive ergonomic assessment. Field experiments show that the accuracy of pose estimation and risk assessment is enhanced, supporting the safety and health of construction workers.

Note: Automation in Construction is a top journal in the field of engineering technology in the Q1 zone, with an impact factor of 11.5 in 2025. The first author of the paper is Chen Xinyu, a doctoral student at the Hong Kong University of Science and Technology, and Yu Yantao from the Hong Kong University of Science and Technology is the corresponding author. The research results were supported by the National Natural Science Foundation of China, the National Key R&D Program of China, the Shenzhen Science and Technology Program, the Early Career Scheme from the Research Grants Council (Hong Kong) , and the Guangdong Basic and Applied Basic Research Foundation.

2025-08-23

With the support of the National Key Research and Development Program, the Guangdong Basic and Applied Basic Research Foundation Project, and the Teaching Reform Project of Tsinghua SIGS, the textbook "Numerical Analysis Experiment" has been published and distributed by Tsinghua University Press. This textbook was edited by myself and jointly compiled by the members of the research group, including Min Yantao, Jiang Xiyuan, He Jiaze, Liu Yi and others.

Numerical computing is a core component in scientific computing and engineering applications, and is widely used in fields such as physics, chemistry, biology, finance, and engineering. It solves practical problems through mathematical models and algorithms, especially when there is no exact solution. Numerical calculation provides an effective approximate solution method. With the rapid development of computer technology, the scale and complexity of numerical computing are constantly increasing, which puts forward higher requirements for computing efficiency and accuracy. Based on this background, we have combined classroom teaching and engineering application experience to compile this textbook in response to actual teaching needs.

This book is a guidebook dedicated to numerical analysis experiments. Through carefully designed experimental projects, it leads readers to deeply understand the basic concepts and methods of numerical analysis, helping them lay a solid foundation and enhance their practical abilities. The content covers the basic principles of numerical calculation, algorithm implementation and practical application cases, aiming to help readers master the core knowledge of numerical analysis and be proficient in conducting numerical calculation experiments using the C# programming language and the Visual Studio platform. This book has distinct features. Its experimental content is highly systematic, the experimental cases are practical, and the experimental environment is user-friendly.

The readership mainly consists of senior undergraduate and graduate students, researchers engaged in scientific computing and engineering applications, as well as university teachers in related fields. It can be used as a teaching reference book or self-study guide.