Scholar
Dehai Zhao
Google Scholar ID: WcMJsj0AAAAJ
CSIRO
Citations & Impact
Citations
795
H-index
14
i10-index
18
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code (ICSE2024, ACM SIGSOFT Distinguished Paper Award)
- - SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics (ICSE2023)
- - Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation (FSE2023)
- - From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining (ASE2023)
- - A Streaming Cloud Platform for Real-Time Video Processing on Embedded Devices (IEEE Transactions on Cloud Computing 2021)
- - CNN-based Multi-model Birdcall Identification on Embedded Devices (SmartIoT 2021)
- - Seenomaly: Vision-Based Linting of GUI Animation Effects Against Design-Don’t Guidelines (ICSE 2020)
- - ActionNet: vision-based workflow action recognition from programming screencasts (ICSE 2019, ACM SIGSOFT Distinguished Paper Nomination)
- - Multi-source data fusion using deep learning for smart refrigerators (Computers in Industry 2018)
- - An intelligent power distribution service architecture using cloud computing and deep learning techniques (J. Network and Computer Applications 2018)
- - Emotion Recognition from Chinese Speech for Smart Affective Services Using a Combination of SVM and DBN (Sensors 2017)
- - Deep learning and SVM-based emotion recognition from Chinese speech for smart affective services (Softw., Pract. Exper. 2017)
Research Experience
- - Projects: Programming screencast analysis and automatic GUI testing, based on computer vision and deep learning methods
- - Main projects include SeeHow, Seenomaly, ActionNet, etc.
Education
- - PhD in Software Engineering, Australian National University, 2018 - 2022
- - M.Eng in Software Engineering, China University of Petroleum (East China), 2014 - 2017
- - B.Eng in Software Engineering, China University of Petroleum (East China), 2010 - 2014
Background
- - Research Interests: Intelligent Software Engineering, Computer Vision, Deep Learning
- - Professional Field: Software Engineering
- - Profile: Currently a Research Scientist at Australian CSIRO’s Data61 in the SE4AI team, leading the development of the guardrail system for Large Language Models, a key component of Responsible AI.
Miscellany
- - Personal Interests: Cloud Computing, Internet of Things (IoT)
Co-authors