
Scientist at IHPC, A*STAR
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CiteSelect
March 11, 2026 – Present
Semantic Scholar citation mining pipeline for a target researcher.
View ProjectRefOnce
November 26, 2025 – December 11, 2025
RefOnce: Distilling References into a Prototype Memory for Referring Camouflaged Object Detection
View ProjectLRFormer
October 8, 2023 – June 13, 2025
[IEEE TPAMI'25] Low-Resolution Self-Attention For Semantic Segmentation
View ProjectMobileSal
July 7, 2021 – September 22, 2025
[IEEE TPAMI22] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]
View ProjectP2T
June 23, 2021 – June 16, 2025
[IEEE TPAMI'23] Pyramid Pooling Transformer for Scene Understanding
View ProjectEDN
February 25, 2021 – October 15, 2024
[IEEE TIP 2022] Code of EDN: Salient Object Detection via Extremely-Downsampled Network
View ProjectJCS
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 ProjectRDPNet
June 21, 2020 – August 30, 2024
(IEEE TIP 2021) Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
View ProjectLIID
July 24, 2019 – December 22, 2023
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
View ProjectCultural 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.