About Me

I am currently a Software Engineer at Expedia Group. Prior to joining Expedia, I earned a Master’s degree in Electrical and Computer Engineering from Carnegie Mellon University, where I was advised by Professor David Lindlbauer and focused on virtual reality, augmented reality, and deep learning. I also hold a Master’s degree in Communications and Signal Processing from Imperial College London, where I worked closely with Professor Christos-Savvas Bouganis on image processing. Additionally, I obtained a Bachelor's degree in Electrical Engineering through joint studies at the University of Birmingham and the University of Electronic Science and Technology of China.

Outside of work and research, I am passionate about traveling and photography. In my free time, I also enjoy running and playing badminton.

Research Interests

“

I am fascinated by the interaction between humans and technology. With a broad background in software engineering, deep learning, and mixed reality, I have developed a growing curiosity about how algorithms drive improvements and how machines and humans interact in increasingly complex ways. I am particularly interested in studying how advancements in software and hardware can enhance user experiences in both the physical and digital worlds.

I am actively seeking Ph.D. opportunities in Human-Computer Interaction and Virtual Reality, beginning in Fall 2026.

”

Selected Projects

Project 1 Image

Multi-participant Interaction in Virtual Reality and Motion Sensing

Implemented a multi-participant application using C# with Unity and Photon and applied on Oculus Quest 2. Here is the demo video.

Project 2 Image

Intelligent Wire Tracking Vehicle

Built an amplifying circuit with SSM 2019. Realized analog signal collection and digital signals conversion and processing with a quadrature filter installed by PIC. Controlled wheel speed by PWM wave ratio.

Project 3 Image

Automatic Transcription of Ornamented Irish Flute Music

Altered the CNN baseline model to fit flute music and improved the accuracy by transfer learning.

Project 3 Image

Black-box Adversarial Attacks for Quantized Image Classifier

Developed a Dense One-pixel attack method using Python and TensorFlow and Differential Evolution algorithm to attack image classifiers. Increased the attack success rate by 13%; Designed metric calibration and identified a new method that improved query efficiency by 53%.

Work Experience

  • Software Engineer Search Relevance Team Dec, 2022 - Dec, 2024
    • Led core system enhancements including personalization SDK integration, deprecation of legacy services, and redesign of post-processing service calls to improve the independence and efficiency of Expedia’s ranking systems; served as primary point of contact for the final property-sorting service and collaborated closely with the Machine Learning team.
    • Spearheaded major cross-team migrations, collaborating with the Ads team to migrate auction functions (impacting $4.55M GP) and partnering with the ML Platform team to complete large-scale parity validation using PySpark.
    • Pioneered testing and operational frameworks, launching a shadow orchestrator for pre-production machine learning testing, delivering the post-processing service for Expedia and HCOM brands, creating the E2E debugging documentation (reviewed 1K+ times), and leading technical onboarding and knowledge sharing initiatives across the EG Search organization.
  • Software Engineer Search Orchestration Team Dec, 2024 - present
    • I worked on the Search Orchestration team, maintaining distributed systems that enabled fast, reliable search experiences for Expedia.com, Hotels.com, and Vrbo.com. I focused on low-latency orchestration, infrastructure resilience, and system stability, and collaborated closely with PMs and TPMs to deliver critical search capabilities at scale.

Awards

  • Outstanding Graduate at UESTC (2020, Top 5%) University of Electronic Science and Technology of China
  • Engineering Undergraduate Prize (2019, Top 2) University of Birmingham
  • Tang Li-Xin Scholarship (2018, Top 1%) University of Electronic Science and Technology of China
  • China National Scholarship (2018, Top 1%) University of Electronic Science and Technology of China
  • China National Scholarship (2017, Top 1%) University of Electronic Science and Technology of China