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PhD student at Beijing University of Posts and Telecommunications (BUPT)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BUPT-GAMMA
Software Engineer
June 27, 2026 – Present
RGLM
January 23, 2026 – Present
A PyTorch implementation of "Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning" (WWW 2026)
View Projectawesome-graph-mcp
April 9, 2025 – May 8, 2025
A curated list of awesome graph-related MCP resources.
View ProjectSpattack
December 16, 2024 – April 18, 2025
A PyTorch implementation of "Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective" (AAAI 2025)
View ProjectLLM4RGNN
December 14, 2024 – November 6, 2025
A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)
View ProjectGraphPAR
February 15, 2024 – April 26, 2025
A PyTorch implementation of "Endowing Pre-trained Graph Models with Provable Fairness" (WWW 2024)
View ProjectGFMPapers
October 31, 2023 – August 24, 2025
Must-read papers on graph foundation models (GFMs)
View ProjectFederalLearning
July 28, 2022 – July 28, 2022
通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from Non-IID Data两篇论文,复现FedAvg与STC算法,完成LSTM模型+ Shakespeare数据集的字符预测任务
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic research within Graph Foundation Models and LLMs, which suggests a strong research-oriented mindset. While this indicates deep technical focus, the diversity of projects outside this niche is limited. The single work experience entry is also research-focused. This might indicate a strong fit for a research-heavy role but less so for a general software engineering role requiring broader application development or system design experience. The target role 'Software Engineer' is broad, and the candidate's profile leans more towards a Machine Learning Engineer or Research Engineer.
Soft Skills & Operational Fit
The candidate's profile primarily showcases technical research capabilities. There is insufficient data from the provided assessment to evaluate soft skills such as teamwork, communication, or stress handling. The operational fit is also difficult to assess without more information on their work style and preferences.