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马晓晨, Ph.D. student in CSE at HKUST.
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Assessing your cultural and operational fit
HKUST
Data Scientist
June 29, 2026 – Present
DataFlow-MM
July 11, 2025 – Present
Dataflow-MM, multi-media operators for Dataflow. We aim to prepare data for Multimodal Large Language Models.
View ProjectMesorch
December 16, 2024 – Present
[AAAI 2025] Official repository of paper “Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization”
View ProjectDataFlow
October 13, 2024 – Present
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
View ProjectIML-Dataset-Corrections
March 19, 2024 – March 19, 2024
Corrections of resolution issue for common image manipulation localization datasets. (CASIA, Coverage, IMD2020)
View ProjectIML-ViT
July 27, 2023 – June 29, 2025
Official repository of paper “IML-ViT: Benchmarking Image manipulation localization by Vision Transformer”
View ProjectMVSS-Net
January 11, 2023 – September 26, 2023
Unofficial implementation of MVSS-Net (ICCV 2021) with Pytorch including training code.
View ProjectCASIA2.0-Corrected-Groundtruth
August 7, 2022 – March 19, 2024
Resolves severe noise in the widely spread CASIA2.0 dataset ground-truth for Image Manipulation Detection
View ProjectManTraNet-Pytorch
March 21, 2022 – April 12, 2023
Unofficial implementation of ManTra-Net (CVPR 2019) with Pytorch including training code. The original paper is a model implemented by keras-Tensorflow
View ProjectCSGuidance
January 18, 2022 – November 1, 2024
本仓库旨在传授刚进入计算机领域的新同学,面临的种种配环境问题,或者通用技术不知道从哪学的困境,尽可能提供一个索引式的教程库,为快速上手入门,降低学习门槛提供帮助。
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, with a strong academic bent (e.g., paper repositories, thesis template). While this demonstrates initiative and deep technical interest, there is limited evidence of collaborative team projects or experience in a typical corporate data science environment. The single listed experience at HKUST as 'Data Scientist' is current but lacks details, making it difficult to assess alignment with a standard industry role. The focus on academic research might require adjustment to product-driven development cycles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a strong research and development focus, which could translate to good problem-solving and independent work, but team collaboration and communication skills are not evident from the provided data.