World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
13426
World Ranking
5516
National Ranking
2518

Research.com Recognitions

  • 2020 - ACM Distinguished Member

Overview

Hao Chen is affiliated with the University of California, Davis in the United States. Their research primarily focuses on computer science, with notable contributions across several subfields including artificial intelligence, software, computer networks and communications, computer vision and pattern recognition, and information systems.

The scientist's research strengthens understanding in multiple key topics, including:

  • Adversarial Robustness in Machine Learning
  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications

Hao Chen's recent papers illustrate a diverse research portfolio, reflecting interests in deep learning, neural network analysis, and event-based computer vision. Selected recent publications include:

  • Deep Learning for Source Code Modeling and Generation, 2020, ACM Computing Surveys
  • Stealing Neural Network Structure Through Remote FPGA Side-Channel Analysis, 2021, IEEE Transactions on Information Forensics and Security
  • A Voxel Graph CNN for Object Classification with Event Cameras, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges, 2020, arXiv (Cornell University)
  • Backpropagating Linearly Improves Transferability of Adversarial Examples, 2020, arXiv (Cornell University)

Frequent co-authorship patterns reveal collaboration with several researchers, including Yiwen Guo, Qizhang Li, Wangmeng Zuo, Yuyang Rong, and Yaping Sun.

The scholar has published predominantly in venues such as arXiv (Cornell University), SSRN Electronic Journal, IEEE Transactions on Information Forensics and Security, Proceedings of the VLDB Endowment, and ACM Computing Surveys. ArXiv hosts the largest number of their publications.

Hao Chen was recognized as an ACM Distinguished Member in 2020.

Best Publications

  • Hierarchical classification of Web content

    Susan Dumais;Hao Chen

  • MagNet: A Two-Pronged Defense against Adversarial Examples

    Dongyu Meng;Hao Chen

  • AndroidLeaks: automatically detecting potential privacy leaks in android applications on a large scale

    Clint Gibler;Jonathan Crussell;Jeremy Erickson;Hao Chen

  • Bringing order to the Web: automatically categorizing search results

    Hao Chen;Susan Dumais

  • MOPS: an infrastructure for examining security properties of software

    Hao Chen;David Wagner

  • FIREMAN: a toolkit for firewall modeling and analysis

    Lihua Yuan;Hao Chen;Jianning Mai;Chen-Nee Chuah

  • Angora: Efficient Fuzzing by Principled Search

    Peng Chen;Hao Chen

  • TouchLogger: inferring keystrokes on touch screen from smartphone motion

    Liang Cai;Hao Chen

  • Attack of the Clones: Detecting Cloned Applications on Android Markets

    Jonathan Crussell;Jonathan Crussell;Clint Gibler;Hao Chen

  • Optimizing search by showing results in context

    Susan Dumais;Edward Cutrell;Hao Chen

  • Fast Private Set Intersection from Homomorphic Encryption.

    Hao Chen;Kim Laine;Peter Rindal

  • Simple Encrypted Arithmetic Library - SEAL v2.1.

    Hao Chen;Kim Laine;Rachel Player

  • PIR with Compressed Queries and Amortized Query Processing

    Sebastian Angel;Hao Chen;Kim Laine;Srinath Setty

  • Model Checking One Million Lines of C Code.

    Hao Chen;Drew Dean;David A. Wagner

  • CHET: an optimizing compiler for fully-homomorphic neural-network inferencing

    Roshan Dathathri;Olli Saarikivi;Hao Chen;Kim Laine

  • Noncespaces: Using Randomization to Enforce Information Flow Tracking and Thwart Cross-Site Scripting Attacks.

    Matthew Van Gundy;Hao Chen

  • MAdFraud: investigating ad fraud in android applications

    Jonathan Crussell;Ryan Stevens;Hao Chen

  • XONN: XNOR-based oblivious deep neural network inference

    M. Sadegh Riazi;Mohammad Samragh;Hao Chen;Kim Laine

  • AnDarwin: Scalable Detection of Semantically Similar Android Applications

    Jonathan Crussell;Clint Gibler;Hao Chen

  • Labeled PSI from Fully Homomorphic Encryption with Malicious Security

    Hao Chen;Zhicong Huang;Kim Laine;Peter Rindal

  • Exploiting MMS Vulnerabilities to Stealthily Exhaust Mobile Phone's Battery

    R. Racic;D. Ma;Hao Chen

Frequent Co-Authors

Kristin E. Lauter
Kristin E. Lauter Microsoft (United States)
David Wagner
David Wagner University of California, Berkeley
Zhendong Su
Zhendong Su ETH Zurich
Susan T. Dumais
Susan T. Dumais Microsoft (United States)
Richard Sproat
Richard Sproat Google (United States)
Chen-Nee Chuah
Chen-Nee Chuah University of California, Davis
Hui Zang
Hui Zang Sprint (United States)
Premkumar Devanbu
Premkumar Devanbu University of California, Davis
Edward Cutrell
Edward Cutrell Microsoft (United States)
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego

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