Ph.D Student @ Tsinghua University
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Tsinghua University
Data Scientist
June 27, 2026 – Present
ViRReq
July 21, 2022 – November 1, 2022
Code for the paper "Visual Recognition by Request".
View ProjectAPIS
July 18, 2022 – August 1, 2022
Code for the paper "Active Pointly-Supervised Instance Segmentation", ECCV 2022.
View Projectdynamic-neural-network
June 30, 2021 – April 26, 2023
dynamic neural network research group's blog
View ProjectALM-pedestrian-attribute
November 23, 2019 – December 30, 2021
Code for the paper "Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization", ICCV 2019, http://arxiv.org/abs/1910.04562.
View Projectaoapc-book
July 21, 2015 – July 21, 2015
Automatically exported from code.google.com/p/aoapc-book
View ProjectData-Structures-Exercises
March 2, 2015 – March 3, 2015
Data-Structures exercises of IBM-club
View ProjectCultural Fit Analysis
The candidate's project history is heavily focused on academic research and personal projects, primarily in computer vision and deep learning. While this demonstrates strong technical capabilities, there is limited evidence of experience in collaborative, product-oriented, or diverse industry settings, which might impact cultural fit in a typical corporate data science role. The single listed experience at Tsinghua University as a Data Scientist is current and lacks details, making it difficult to assess real-world application or team collaboration experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project contributions.