Hello, I’m Yuxin Yang!
I am a 3rd year Ph.D. student at the University of Southern California, advised by Prof. Viktor Prasanna. My research focuses on Graph Neural Networks (GNNs) and Large Language Models (LLMs), with a particular interest in building and scaling agentic LLM systems. [resume]
Before joining USC, I received my B.E. degree from the Department of Automation at Tsinghua University. I had the opportunity to work with Prof. Muhan Zhang, Prof. Yitao Liang, and Prof. Yilin Mo.
My work is supported by the Capital One Fellowship (2024-2025, 2025-2026).
Selected Publications
Asterisk (*) indicates equal contribution.
SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
Yuxin Yang, Gangda Deng, Ömer Faruk Akgül, Nima Chitsazan, Yash Govilkar, Akasha Tigalappanavara, Shi-Xiong Zhang, Sambit Sahu, Viktor Prasanna
Preprint, 2026 [paper]
SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations
Abdulla Alshabanah, Yuxin Yang, Murali Annavaram
WSDM, 2026
Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study
Gangda Deng*, Yuxin Yang*, Ömer Faruk Akgül*, Hanqing Zeng, Yinglong Xia, Rajgopal Kannan, Viktor Prasanna
Preprint, 2025 [paper]
RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion
Ömer Faruk Akgül*, Feiyu Zhu*, Yuxin Yang, Rajgopal Kannan, Viktor Prasanna
Preprint, 2025 [paper]
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
Yuxin Yang, Hongkuan Zhou, Rajgopal Kannan, Viktor Prasanna
VLDB, 2025 [paper] [code]
PA-GNN: Parameter-Adaptive Graph Neural Networks
Yuxin Yang, Yitao Liang, Muhan Zhang
ICML Dynamic Neural Networks Workshop, 2022 (Spotlight) [paper] [video]
Other Interests
In my spare time, I enjoy music, piano, and sports activities. I built an interactive webpage on harmony chords while learning music theory. I’m also actively exploring cycling and running routes throughout Los Angeles — check out my Strava!
