I am a first-year PHD student at the Department of Electrical and Computer Engineering, University of Texas at Austin, advised by Prof.Zhangyang Wang. Prior to this, I obtained my master’s and bachelor’s degree from Shanghai Jiao Tong University (SJTU) in 2023 and 2020 respectively. My research interest includes large language models and Graph neural networks. If you are interested in my research work, please feel free to contact me.

🔥 News

• 2023.06:  🎉🎉 I’m going to join VITA in August, 2023!

📝 Publications

LLaGA: Large Language and Graph Assistant [Preprint]

Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang

GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases [CIKM 2022]

Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao

GNEM: A Generic One-to-Set Neural Entity Matching [WWW 2021]

Runjin Chen, Yanyan Shen, Dongxiang Zhang

Explaining Neural Networks Semantically and Quantitatively [ICCV 2019 oral]

Runjin Chen^*, Hao Chen^*, Jie Ren, Ge Huang, Quanshi Zhang

Towards a Deep and Unified Understanding of Deep Neural Models in NLP [ICML 2019]

Chaoyu Guan^*, Xiting Wang^*, Quanshi Zhang, Runjin Chen, Di He, Xing Xie

📖 Educations

• 2023 - 2028(expected), PHD in Electrical and Computer Engineering, University of Texas at Austin.
• 2020 - 2023, Master in Computer Science, Shanghai Jiao Tong University.
• 2016 - 2020, Bachelor in Computer Science, Shanghai Jiao Tong University.

💻 Internships

• 2023.02 - 2023.06, Algorithm Engineer for Recommendation System in Bytedance, China.

🎖 Honors and Awards

• 2023.03 Outstanding Graduate Student of Shanghai Jiao Tong University.
• 2021.07 Yangyuanqin Scholarship.
• 2020.06 Zhiyuan Honor Degree of Bachelor of Engineering.
• 2018.11 The First Prize in Contemporary Undergraduate Mathematical Contest in Modeling.
• 2018.03 Meritorious Prize in Mathematical Contest in Modeling.
• 2017.11 National Scholarship Award (top1% in SJTU).