Yu-Huan Wu

Backend Engineer

https://talent.gravityer.com/yu-huan-wu

Scientist at IHPC, A*STAR

Singapore, SingaporeMember since June 25, 2026

Key Strengths

Extensive experience in Python for research-oriented projects, particularly in computer vision and deep learning.
Demonstrated ability to contribute to and publish in top-tier academic conferences and journals (IEEE TPAMI, TIP).
Proficiency in deep learning frameworks (PyTorch, Jittor implied by project descriptions).
Experience with Cuda and C++ for performance-critical components, indicating an understanding of low-level optimization.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history is heavily focused on academic research in computer vision and deep learning. While this demonstrates strong technical capabilities in a specialized domain, the direct alignment with a general 'Backend Engineer' role in an industry setting is not immediately clear without further information on their experience with scalable systems, APIs, databases, or distributed computing. The projects are all personal/research, lacking team collaboration context.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical research contributions.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

CiteSelect

March 11, 2026 – Present

Semantic Scholar citation mining pipeline for a target researcher.

View Project

RefOnce

November 26, 2025 – December 11, 2025

RefOnce: Distilling References into a Prototype Memory for Referring Camouflaged Object Detection

View Project

GAPNet

August 28, 2025 – November 23, 2025

GAPNet — GitHub repository

View Project

LRFormer

October 8, 2023 – June 13, 2025

[IEEE TPAMI'25] Low-Resolution Self-Attention For Semantic Segmentation

View Project

MobileSal

July 7, 2021 – September 22, 2025

[IEEE TPAMI22] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]

View Project

P2T

June 23, 2021 – June 16, 2025

[IEEE TPAMI'23] Pyramid Pooling Transformer for Scene Understanding

View Project

EDN

February 25, 2021 – October 15, 2024

[IEEE TIP 2022] Code of EDN: Salient Object Detection via Extremely-Downsampled Network

View Project

JCS

October 22, 2020 – December 20, 2021

[IEEE TIP 2021] COVID-CS Dataset and Code of JCS: An explainable COVID-19 diagnosis system by joint classification and segmentation

View Project

RDPNet

June 21, 2020 – August 30, 2024

(IEEE TIP 2021) Regularized Densely-connected Pyramid Network for Salient Instance Segmentation

View Project

LIID

July 24, 2019 – December 22, 2023

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation

View Project

Key Strengths

Extensive experience in Python for research-oriented projects, particularly in computer vision and deep learning.
Demonstrated ability to contribute to and publish in top-tier academic conferences and journals (IEEE TPAMI, TIP).
Proficiency in deep learning frameworks (PyTorch, Jittor implied by project descriptions).
Experience with Cuda and C++ for performance-critical components, indicating an understanding of low-level optimization.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical research contributions.

Yu-Huan Wu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit