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Z.AI
Data Scientist
June 26, 2026 – Present
Uni-CTR
February 20, 2024 – November 25, 2024
Source code of TOIS paper "A Unified Framework for Multi-Domain CTR Prediction via Large Language Models"
View ProjectAwesome-LLM-Model-for-Recommend-System-Papers
May 8, 2023 – May 8, 2023
Paper List about LLM for Recommend System
View Projectawesome-recommend-system-pretraining-papers
July 20, 2022 – Present
Paper List for Recommend-system PreTrained Models
View ProjectIntTower
May 19, 2022 – August 29, 2023
Source code of CIKM 2022 and DLP-KDD workshop 2022 Best Paper: IntTower-“ IntTower: the Next Generation of Two-Tower Model for Pre-ranking System”
View Project3rd-solution-COVID19-Fake-News-Detection-in-English
December 23, 2020 – June 2, 2022
AAAI2021 COVID19-Fake-News-Detection-in-English challenge 3rd soulution
View Projectpku-Artificial-intelligence-practice-homework
October 10, 2019 – June 19, 2023
2019北京大学《人工智能实践》课程作业
View ProjectDive-into-DL-TensorFlow2.0
April 23, 2018 – March 17, 2023
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards academic research and personal projects in AI/ML, particularly in recommendation systems and large language models. This indicates a self-driven individual with a passion for the field. However, the lack of diverse project types (e.g., business-oriented, team-based, production-focused) and limited information on collaborative experiences makes it difficult to fully assess cultural fit for a typical industry Data Scientist role. The candidate's experience level is listed as 0, despite having a current role, which suggests a potential mismatch in self-assessment or data entry.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.