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Computer Science

D-Index
41
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11632
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8629
National Ranking
3698

Overview

Heng Yin is a researcher affiliated with the University of California, Riverside in the United States. Their work spans multiple fields but is principally focused on Medicine and Computer Science. The scope of their research integrates topics from software engineering to medical studies related to reproduction and immune system diseases.

The primary fields of study for Heng Yin include:

  • Medicine
  • Computer Science

Within these broader domains, their subfields of study are diverse, covering:

  • Obstetrics and Gynecology
  • Molecular Biology
  • Immunology
  • Software
  • Information Systems

Heng Yin's research topics reflect a strong intersection of medical and software engineering concerns. The main topics addressed in their publications include:

  • Software Engineering Research
  • Advanced Malware Detection Techniques
  • Software Testing and Debugging Techniques
  • Software Reliability and Analysis Research
  • COVID-19 Impact on Reproduction
  • Pregnancy and preeclampsia studies
  • Systemic Lupus Erythematosus Research

Several recent papers by Heng Yin illustrate the range of their work. Notable publications include:

  • "ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model" (2023), published in International Journal of Oral Science
  • "Clinical analysis of ten pregnant women with COVID-19 in Wuhan, China: A retrospective study" (2020), published in International Journal of Infectious Diseases
  • "A deep learning, image based approach for automated diagnosis for inflammatory skin diseases" (2020), published in Annals of Translational Medicine
  • "Impact of Wuhan lockdown on the indications of cesarean delivery and newborn weights during the epidemic period of COVID-19" (2020), published in PLoS ONE
  • "Codee: A Tensor Embedding Scheme for Binary Code Search" (2021), published in IEEE Transactions on Software Engineering

The frequent co-authors with whom Heng Yin has collaborated include Haijing Wu, Yun Zhao, Hai Long, Xin Huang, and Ruobing Li.

Heng Yin's publications are often hosted in venues that emphasize open science and electronic dissemination. Frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • PubMed
  • Zenodo (CERN European Organization for Nuclear Research)
  • PLoS ONE

Best Publications

  • Panorama: capturing system-wide information flow for malware detection and analysis

    Heng Yin;Dawn Song;Manuel Egele;Christopher Kruegel

  • BitBlaze: A New Approach to Computer Security via Binary Analysis

    Dawn Song;David Brumley;Heng Yin;Juan Caballero

  • DroidScope: seamlessly reconstructing the OS and Dalvik semantic views for dynamic Android malware analysis

    Lok Kwong Yan;Heng Yin

  • DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android

    Yousra Aafer;Wenliang Du;Heng Yin

  • Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection

    Xiaojun Xu;Chang Liu;Qian Feng;Heng Yin

  • Polyglot: automatic extraction of protocol message format using dynamic binary analysis

    Juan Caballero;Heng Yin;Zhenkai Liang;Dawn Song

  • Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs

    Mu Zhang;Yue Duan;Heng Yin;Zhiruo Zhao

  • Renovo: a hidden code extractor for packed executables

    Min Gyung Kang;Pongsin Poosankam;Heng Yin

  • Scalable Graph-based Bug Search for Firmware Images

    Qian Feng;Rundong Zhou;Chengcheng Xu;Yao Cheng

  • Dynamic spyware analysis

    Manuel Egele;Christopher Kruegel;Engin Kirda;Heng Yin

  • Automatically Identifying Trigger-based Behavior in Malware

    David Brumley;Cody Hartwig;Zhenkai Liang;James Newsome

  • Attacks on WebView in the Android system

    Tongbo Luo;Hao Hao;Wenliang Du;Yifei Wang

  • Code Injection Attacks on HTML5-based Mobile Apps: Characterization, Detection and Mitigation

    Xing Jin;Xuchao Hu;Kailiang Ying;Wenliang Du

  • HookFinder: Identifying and Understanding Malware Hooking Behaviors

    Heng Yin;Zhenkai Liang;Dawn Song

  • AppSealer: Automatic Generation of Vulnerability-Specific Patches for Preventing Component Hijacking Attacks in Android Applications

    Mu Zhang;Heng Yin

  • Emulating emulation-resistant malware

    Min Gyung Kang;Heng Yin;Steve Hanna;Stephen McCamant

  • FIRM-AFL: High-Throughput Greybox Fuzzing of IoT Firmware via Augmented Process Emulation

    Yaowen Zheng;Ali Davanian;Heng Yin;Chengyu Song

  • DEEPBINDIFF: Learning Program-Wide Code Representations for Binary Diffing

    Yue Duan;Xuezixiang Li;Jinghan Wang;Heng Yin

  • vfGuard: Strict Protection for Virtual Function Calls in COTS C++ Binaries

    Aravind Prakash;Xunchao Hu;Heng Yin

  • Make it work, make it right, make it fast: building a platform-neutral whole-system dynamic binary analysis platform

    Andrew Henderson;Aravind Prakash;Lok Kwong Yan;Xunchao Hu

  • Send Hardest Problems My Way: Probabilistic Path Prioritization for Hybrid Fuzzing.

    Lei Zhao;Yue Duan;Heng Yin;Jifeng Xuan

Frequent Co-Authors

Dawn Song
Dawn Song University of California, Berkeley
Zhenkai Liang
Zhenkai Liang National University of Singapore
Haining Wang
Haining Wang Virginia Tech
Zhiqiang Lin
Zhiqiang Lin The Ohio State University
Wenliang Du
Wenliang Du Syracuse University
David Brumley
David Brumley Carnegie Mellon University
Engin Kirda
Engin Kirda Northeastern University
Christopher Kruegel
Christopher Kruegel University of California, Santa Barbara
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Jianping Pan
Jianping Pan University of Victoria

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