Peijie Sun
PostDoc at 清华
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolPeijie Sun is a postdoctoral researcher at Tsinghua University's Computer Science Department with 10 years of experience focused on recommender systems, user modeling, social network analysis, and applying large language models to recommendation problems. He has authored 20+ papers in top venues (WWW, KDD, SIGIR) and journals (IEEE TKDE, ACM TOIS) and his work has garnered over 1,200 citations, reflecting both depth and impact. At Tsinghua he develops explainable techniques to illuminate users' decision-making and social behaviors, building on prior internships and visiting positions that translated state-of-the-art news recommendation models into practical applications. Trained with a PhD in Signal and Information Processing from Hefei University of Technology (top 1%), he blends rigorous theoretical grounding with hands-on implementation experience. Peijie’s profile signals a rare combination of strong publication record and applied work bridging explainability, social signals, and LLM-driven personalization.
10 years of coding experience
PhD, Signal and Information Processing, top 1%, PhD, Signal and Information Processing, top 1% at 合肥工业大学
Github Skills (20)
gnn10
graph-neural-network10
graph9
google-colaboratory9
machine-learning8
neural-network8
agent7
chatbot6
openai5
python5
electron5
llm4
backend3
anthropic2
pytorch1
Programming languages (5)
Github contributions (5)
PeiJieSun/diffnet
Apr 2019 - Dec 2022
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Contributions:1 release, 99 commits, 4 PRs in 3 years 8 months
neural-graph-recommendationgnnneural-graphgraph-neural-networkrecommendation
PeiJieSun/starter-academic
Nov 2020 - Nov 2020
Contributions:38 pushes, 1 branch in 17 days
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