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Ph.D. @ HKUST
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The Hong Kong University of Science and Technology
Backend Engineer
June 25, 2026 – Present
resefa
February 19, 2022 – December 24, 2022
[ICML 2022] Region-Based Semantic Factorization in GANs
View Projectdepthgan
February 15, 2022 – November 24, 2022
[ECCV 2022 Oral] 3D-Aware Indoor Scene Synthesis with Depth Priors
View Projectgenforce
September 25, 2020 – October 11, 2024
An efficient PyTorch library for deep generative modeling.
View Projectidinvert_pytorch
July 20, 2020 – August 28, 2021
[ECCV 2020] In-Domain GAN Inversion for Real Image Editing (PyTorch code)
View Projectidinvert
April 2, 2020 – July 28, 2021
[ECCV 2020] In-Domain GAN Inversion for Real Image Editing
View Projectlia
December 4, 2019 – March 8, 2022
[IJCV 2022] Disentangled Inference for GANs with Latently Invertible Autoencoder
View ProjectCultural Fit Analysis
The candidate's project history is almost exclusively in academic/research-oriented deep learning and generative AI. While this demonstrates strong technical depth in a specific area, it suggests a potential mismatch with a typical 'Backend Engineer' role that often requires broader system design, API development, database management, and operational skills. The lack of diverse project types or team-based software development experience limits the assessment of cultural fit for a standard engineering team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience is heavily research-focused, and there is no information on collaboration, communication, or project management within a team setting.