Yi Gui

ORCID: 0009-0006-2841-7942
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About
Contact & Profiles
Research Areas
  • earthquake and tectonic studies
  • Seismology and Earthquake Studies
  • Software Engineering Research
  • Geophysics and Sensor Technology
  • Advanced Malware Detection Techniques
  • Earthquake Detection and Analysis
  • High-pressure geophysics and materials
  • Remote Sensing and Land Use
  • Geological and Geophysical Studies
  • Software Testing and Debugging Techniques
  • Seismic Waves and Analysis
  • Model-Driven Software Engineering Techniques
  • Comparative Literary Analysis and Criticism
  • Plant and Fungal Interactions Research
  • Literature, Culture, and Aesthetics
  • Spanish Literature and Culture Studies
  • S100 Proteins and Annexins
  • Optical Systems and Laser Technology
  • Teaching and Learning Programming
  • Inertial Sensor and Navigation
  • Sports Analytics and Performance
  • Target Tracking and Data Fusion in Sensor Networks
  • Advanced Decision-Making Techniques
  • Protease and Inhibitor Mechanisms
  • Maritime Navigation and Safety

Huazhong University of Science and Technology
2022-2025

Tsinghua University
2013

China Earthquake Administration
2010

Heritage Christian University
2009

Chengdu University of Technology
2008

Binary- source code matching plays an important role in many security and software engineering related tasks such as malware detection, reverse vulnerability assessment. Currently, several approaches have been proposed for binary-source by jointly learning the embeddings of binary a common vector space. Despite much effort, existing target on written single programming language. However, practice, applications are often different languages to cater requirements computing platforms. Matching...

10.1109/saner53432.2022.00077 article EN 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2022-03-01

Automatically generating UI code from webpage design visions can significantly alleviate the burden of developers, enabling beginner developers or designers to directly generate Web pages diagrams. Currently, prior research has accomplished objective rudimentary sketches through designing deep neural networks. Inspired by groundbreaking advancements achieved Multimodal Large Language Models (MLLMs), automatic generation high-fidelity images is now emerging as a viable possibility....

10.48550/arxiv.2404.06369 preprint EN arXiv (Cornell University) 2024-04-09

Rao-Blackwellized Particle Filter (RBPF) is suitable for solving the linear/nonlinear mixed Terrain-Aided Navigation (TAN) problem. But (PF) part of RBPF Standard (SPF), causing particle diversity reduction and even filters divergence under extreme conditions. To get a better estimation errors INS, this paper proposes an improved approach called Regularized (RRBPF). After updating nonlinear state corresponding importance weights, RRBPF resamples from Epanechnikov kernel then resampled...

10.4028/www.scientific.net/amm.336-338.336 article EN Applied Mechanics and Materials 2013-07-01

Reinforcement learning (RL) is gaining attention by more and researchers in quantitative finance as the agent-environment interaction framework aligned with decision making process many business problems. Most of current financial applications using RL algorithms are based on model-free method, which still faces stability adaptivity challenges. As lots cutting-edge model-based reinforcement (MBRL) mature such video games or robotics, we design a new approach that leverages resistance support...

10.48550/arxiv.2205.15056 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Binary-source code matching plays an important role in many security and software engineering related tasks such as malware detection, reverse vulnerability assessment. Currently, several approaches have been proposed for binary-source by jointly learning the embeddings of binary source a common vector space. Despite much effort, existing target on written single programming language. However, practice, applications are often different languages to cater requirements computing platforms....

10.48550/arxiv.2201.07420 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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