Pinhuan Wang

Pinhuan Wang is a Ph.D. student in the Department of Electrical and Computer Engineering at Rutgers, the State University of New Jersey. His research interests include high-performance graph computing and applications of large language models (LLMs). He received his B.S. degree from the College of Computer Science and Technology at Jilin University in 2024.

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News

Aug 2025 – Paper about LLM-based document re-ranking was accepted to EMNLP 2025.
Jan 2025 – Paper exploring random walk on dynamic graphs has been accepted to EuroSys 2025.
Nov 2024 – In my last ICPC battle, our team achieved 10th place in the GNYR!
Nov 2024 – A collaborative work was accepted to PPoPP '25, congratulations Zhibin!
Jul 2024 – I have graduated from Jilin University. I will always miss my days in Changchun.

P. Wang, Z. Xia, C. Liao, F. Wang, H. Liu. “REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking.” EMNLP, 2025.
P. Wang, C. Huan, Z. Wang, C. Tian, Y. Ji, H. Liu. "BINGO: Radix-based Bias Factorization for Random Walk on Dynamic Graphs." Eurosys, 2025. [Paper]
Z. Wang, X. Lin, X. Li, P. Wang, Z. Meng, H. Liu, C. Tian, S. Zhong. "Swift Unfolding of Communities: GPU-Accelerated Louvain Algorithm." PPoPP, 2025. [Paper]

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