Research Scientist @THUDM (or z.ai) Interested in vital things nobody cares about.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
thudm
Data Scientist
June 25, 2026 – Present
thukg
Data Scientist
June 25, 2026 – Present
Novel-Understanding-Bench
February 12, 2026 – Present
personal benchmark on Evaluating Long(1 million) Context Understanding Using Long Novel Comprehension
View ProjectPETra
November 19, 2024 – November 7, 2025
Transformer and Phylogenetic Tree-based SARS-CoV-2 Mutation Prediction Model
View Projectlong-covid-rate-calculator
September 1, 2022 – September 14, 2022
A simple calculator for a glance of future.
View ProjectSwissArmyTransformer
October 6, 2021 – December 26, 2024
SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.
View Projectgrb
March 10, 2021 – November 6, 2023
Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.
View Projecttdgia
February 7, 2021 – November 5, 2021
code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)
View ProjectRefined-cora-citeseer
October 27, 2020 – April 1, 2021
Refined-cora-citeseer — GitHub repository
View ProjectCogDL
March 18, 2019 – February 1, 2024
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
View Projectan-AI
November 27, 2017 – January 23, 2018
trying to build a structure of the most recent go ai(pytorch)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards academic research and open-source contributions in advanced machine learning, particularly in graph neural networks and transformers. This suggests a fit for organizations that value innovation, research, and technical depth. The projects are diverse within the ML/AI domain, indicating a broad interest and ability to tackle different challenges. However, the lack of detailed project descriptions or team-based work makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.