Lei Zhang

ORCID: 0009-0004-1681-1956
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About
Contact & Profiles
Research Areas
  • Network Security and Intrusion Detection
  • Optimization and Variational Analysis
  • Caching and Content Delivery
  • Complex Network Analysis Techniques
  • Electromagnetic Effects on Materials
  • Mechanical stress and fatigue analysis
  • Iterative Methods for Nonlinear Equations
  • Human Mobility and Location-Based Analysis
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • IoT and Edge/Fog Computing
  • Real-Time Systems Scheduling
  • Fire effects on concrete materials
  • Advanced Optimization Algorithms Research
  • Algorithms and Data Compression

Dalian University of Technology
2013

Most existing semi-supervised community detection algorithms leverage known communities to learn structures, subsequently identifying that align with these learned structures. However, differences in structures may render the by methods inappropriate for containing given node of interest. As a result, identified exclude or be poor quality. Inspired success reinforcement learning, we propose Semi-supervised Local method based on Reinforcement Learning, named SLRL, which only explores parts...

10.1609/aaai.v39i1.32044 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2025-04-11

ByteDance's products, including TikTok, Douyin, and Toutiao, generate massive amounts of graph data every day. Previously, we developed ByteGraph, a distributed database that manages the large-scale with varying performance requirements. BG3 is deployed on computation storage decoupled architecture, which allows for high in-memory execution independent scaling layers. Byte-Graph has demonstrated robust throughout its years service in global-scale applications. However, as business scale...

10.1145/3626246.3653373 article EN 2024-05-23

10.1023/a:1026498519948 article EN Journal of Optimization Theory and Applications 2001-02-01

An internal crack is a common defect which can lead to failure of the material. There are few published studies quantitatively predict healed fractions under given conditions such as temperature, pressure and healing time. In current study, new kinetic model developed fraction any contrast previous models, this describes surface topography series semi spherical pores, proposes diffusion mechanism involving grain growth. Plastic deformation, power law creep controlled considered in model. A...

10.1115/1.4024764 article EN Journal of Manufacturing Science and Engineering 2013-07-17
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