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I'm Sidong Feng

Human–computer Interaction
Software Engineering

Sidong Feng

PhD, Monash University

I am a PhD student in the Faculty of Information Technology at Monash University (Monash), working with Dr. Chunyang Chen. My research interests lie at the intersection of Human-Computer Interaction, Software Engineering and Deep Learning. I received my Bachelor’s degree in Software Engineering from the Australian National University (ANU) in Australia, advised by Prof. Zhenchang Xing. My current research focus is to assist Human-AI interaction in designing, developing, testing mobile app including the following three directions.

Download CV (Updated: Nov, 2022)

Latest News

Two papers were accepted to ICSE 2023!
Service as External Reviewer in CHI 2023!

Awards

  • [2021] Highlight of IUI 2021.
  • [2021] Monash HDR Full Scholarship
  • [2021] Selected PhD for ISAAC (Fully Funded)
  • [2021] Selected Engineers Australia (EA) for graduates from ANU
  • [2020] Selected Alibaba Global Talent Development Program
  • [2020] 1st solution in Huawei AI project of Smart City (with $120,000 project investment)

Service

  • [2023] Junior PC in MSR 2023
  • [2022] External Reviewer in CHI 2023
  • [2022] External Reviewer in MobileHCI 2022
  • [2021] Student Volunteer in ASE 2021
  • [2020] Selected Panelist in "ML in Practice" and "Testing" in ESEC/FSE 2020

Publications

Efficiency Matters: Speeding Up Automated Testing with GUI Rendering Inference

Sidong Feng, Mulong Xie, Chunyang Chen

45th International Conference on Software Engineering [ICSE 2023]

Read It, Don't Watch It: Captioning Bug Recordings Automatically

Sidong Feng, Mulong Xie, Yinxing Xue, Chunyang Chen

45th International Conference on Software Engineering [ICSE 2023]

Psychologically-Inspired, Unsupervised Inference of Perceptual Groups of GUI Widgets from GUI Images

Mulong Xie, Zhenchang Xing, Sidong Feng, Chunyang Chen, Liming Zhu, Xiwei Xu

ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering [ESEC/FSE 2022]

GIFdroid: Automated Replay of Visual Bug Reports for Android Apps

Sidong Feng, Chunyang Chen

44th International Conference on Software Engineering [ICSE 2022]

GIFdroid: An Automated Light-weight Tool for Replaying Visual Bug Reports

Sidong Feng, Chunyang Chen

44th International Conference on Software Engineering [ICSE-C 2022]

Auto-Icon+: An Automated End-to-End Code Generation Tool for Icon Designs in UI Development

Sidong Feng, Minmin Jiang, TingTing Zhou, Yankun Zhen, Chunyang Chen

ACM Transactions on Interactive Intelligent Systems [TIIS 2022]

Auto-icon: An automated code generation tool for icon designs assisting in ui development

Sidong Feng, Suyu Ma, Jinzhong Yu, Chunyang Chen, TingTing Zhou, Yankun Zhen

The 26th International Conference on Intelligent User Interfaces [IUI 2021]

UIED: a hybrid tool for GUI element detection

Mulong Xie, Sidong Feng, Zhenchang Xing, Jieshan Chen, Chunyang Chen

ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering [ESEC/FSE-2020]

Dynamic facial stress recognition in temporal convolutional network

Sidong Feng

International Conference on Neural Information Processing [ICONIP 2019]

Portfolio

Education

  • 2023 -
    PhD in Computer Science
    Monash University, Australia

    HDR Full Scholarship

  • 2016 - 2019
    Bachelor of Software Engineering (Honors)
    Australian National University, Australia

    Top 5% graduation

  • 2014 - 2016
    High School
    Blue Mountains Grammar School, Australia

    Half Tuition Scholarship, Top 1 graduation

Selected Experience

  • 2020 - 2021
    Alibaba Group
    Research Intern (Global Talent Development Program)

    Investigate machine-learning and deep-learning based techniques to generate readable and efficient code for GUI design artifacts.

    Achievement: Highlight in IUI 2021, and TIIS 2022

  • 2020 - 2020
    NUS Research Institute
    Research Intern

    1. Investigate fast scene parsing model mounted on self-driving UAV for segmenting algae region and identifying its pollution.

    2. Investigate text-shape-recognized segmentation model to remove the handwritten answers from the past exam papers.

    Achievement: Top solution in Huawei AI project of Smart City with $120,000 investment.

Misc

Paper Art

My Gallery

Certified Skydiver

SSI Water Diver

Go / Weiqi

Amateur Go rank 2 dan

Contact

sidong dot feng at monash dot edu
Faculty of Information Technology, Monash University, Australia