Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours. - Yuxin Yang 010; Hongkuan Zhou; Rajgopal Kannan; Viktor K. Prasanna (Proc. VLDB Endow., 2024)

Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study. - Gangda Deng; Yuxin Yang 010; Ömer Faruk Akgül; Hanqing Zeng; Yinglong Xia; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)

RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion. - Ömer Faruk Akgül; Feiyu Zhu; Yuxin Yang 010; Rajgopal Kannan; Viktor K. Prasanna (EACL (Volume 1: Long Papers), 2026)

SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations. - Abdulla Alshabanah; Yuxin Yang 010; Murali Annavaram (WSDM, 2026)

SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation. - Yuxin Yang 010; Gangda Deng; Ömer Faruk Akgül; Nima Chitsazan; Yash Govilkar; Akasha Tigalappanavara; Shi-Xiong Zhang; Sambit Sahu; Viktor Prasanna 001 (CoRR, 2026)

EvoClaw: Evaluating AI Agents on Continuous Software Evolution. - Gangda Deng; Zhaoling Chen; Zhongming Yu; Haoyang Fan; Yuhong Liu; Yuxin Yang 010; Dhruv Parikh; Rajgopal Kannan; Le Cong; Mengdi Wang; Qian Zhang; Viktor K. Prasanna; et al. (CoRR, 2026)