Yinxi Liu

ORCID: 0000-0002-8054-474X
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About
Contact & Profiles
Research Areas
  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Software Engineering Research
  • Radiation Detection and Scintillator Technologies
  • Luminescence Properties of Advanced Materials
  • Decision-Making and Behavioral Economics
  • Advanced Semiconductor Detectors and Materials
  • Software Reliability and Analysis Research
  • Atomic and Subatomic Physics Research
  • Water resources management and optimization
  • Web Application Security Vulnerabilities
  • Water-Energy-Food Nexus Studies
  • Radiation Effects in Electronics
  • Risk Perception and Management
  • Climate Change Communication and Perception
  • Software System Performance and Reliability
  • Experimental Behavioral Economics Studies
  • Psychology of Moral and Emotional Judgment
  • Environmental Education and Sustainability
  • Irrigation Practices and Water Management

Chinese University of Hong Kong
2021-2023

Nankai University
2023

Inner Mongolia University
2019

Abstract To what degree are Chinese citizens concerned about the seriousness of global warming and climate change (GWCC) key factors that shape their concern? Drawing theoretical insights from extant literature using recent data a national representative public survey (N = 3,748) provincial environmental economic statistics, this study, first its kind, examines variations determinants GWCC concern. Our show in China, compared to other countries, average concern is relatively low, varies...

10.1017/s0305741019000845 article EN The China Quarterly 2019-08-08

Regular expression Denial-of-Service (ReDoS) is a class of algorithmic complexity attacks. Attackers can craft particular strings to trigger the worst-case super-linear matching time some vulnerable regular expressions (regex) with extended features that are commonly supported by popular programming languages. ReDoS attacks severely degrade performance web applications, which extensively employ regexes in their server-side logic. Nevertheless, characteristics remain understudied, making it...

10.1109/sp40001.2021.00062 article EN 2022 IEEE Symposium on Security and Privacy (SP) 2021-05-01

Markdown compilers are widely used for translating plain text into formatted text, yet they suffer from performance bugs that cause degradation and resource exhaustion. Currently, there is little knowledge understanding about these in the wild. In this work, we first conduct a comprehensive study of known compilers. We identify ways handle language's context-sensitive features dominant root bugs. To detect unknown bugs, develop MdPerfFuzz, fuzzing framework with syntax-tree based mutation...

10.1109/ase51524.2021.9678611 article EN 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) 2021-11-01

Traditional random mutation-based fuzzers are ineffective at reaching deep program states that require specific input values. Consequently, a large number of bugs remain undiscovered. To enhance the effectiveness mutation, previous research has utilized taint analysis to identify control-dependent critical bytes and only mutates those bytes. However, existing works do not consider indirect control dependencies, in which for taking one branch can be set basic block is dependent on series...

10.1145/3576915.3616594 article EN Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security 2023-11-15

It is a common sense that an individual would feel disappointed when his work results overpass other team members while final reward determined by the poorest performance of group. One question raised: How people decide level their working effort in next period having experienced disappointing feeling previous one? In this study, we try to test two hypotheses potential impacts disappoint feeling: disappointment aversion and self-achievement. To do so, conducted laboratory experiment applying...

10.2139/ssrn.2180813 article EN SSRN Electronic Journal 2012-01-01

Algorithmic Complexity (AC) Denial-of-Service attacks have been a threat for over twenty years. Attackers craft particular input vectors to trigger the worst-case logic of some code running on server side, which leads high resource consumption and performance degradation. In response, several vulnerability detection tools developed help developers prevent such attacks. Nevertheless, these state-of-the-art either focus specific type or suffer from state explosion. They are limited small scope...

10.1145/3548606.3559337 article EN Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security 2022-11-07
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