- 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...
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....
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...
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...
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....