Enhancing the long-term performance of recommender system. - Leyang Xue; Peng Zhang; An Zeng (CoRR, 2019)

Predictability of diffusion-based recommender systems. - Peng Zhang; Leyang Xue; An Zeng (Knowl. Based Syst., 2019)

PAINT: Path Aware Iterative Network Tomography for Link Metric Inference. - Leyang Xue; Mahesh K. Marina; Geng Li; Kai Zheng 003 (ICNP, 2022)

Maximizing spreading in complex networks with risk in node activation. - Leyang Xue; Peng Zhang; An Zeng (Inf. Sci., 2022)

Community detection based on structural balance in signed networks. - Peng Zhang; Xianyu Xu; Leyang Xue (CoRR, 2023)

ServerlessLLM: Low-Latency Serverless Inference for Large Language Models. - Yao Fu; Leyang Xue; Yeqi Huang; Andrei-Octavian Brabete; Dmitrii Ustiugov; Yuvraj Patel; Luo Mai (OSDI, 2024)

ServerlessLLM: Locality-Enhanced Serverless Inference for Large Language Models. - Yao Fu; Leyang Xue; Yeqi Huang; Andrei-Octavian Brabete; Dmitrii Ustiugov; Yuvraj Patel; Luo Mai (CoRR, 2024)

MoE-Infinity: Activation-Aware Expert Offloading for Efficient MoE Serving. - Leyang Xue; Yao Fu; Zhan Lu; Luo Mai; Mahesh K. Marina (CoRR, 2024)

MoE-CAP: Cost-Accuracy-Performance Benchmarking for Mixture-of-Experts Systems. - Yao Fu; Yinsicheng Jiang; Yeqi Huang; Ping Nie; Zhan Lu; Leyang Xue; Congjie He; Man-Kit Sit; Jilong Xue; Li Dong; Ziming Miao; Kai Zou; et al. (CoRR, 2024)

Iterative structural coarse-graining for contagion dynamics in complex networks. - Leyang Xue; Zengru Di; An Zeng (CoRR, 2024)

High Power-Efficiency Readout Circuit for MEMS Capacitive Accelerometer. - Longjie Zhong; Leyang Xue; Xiangyi Deng; Shubin Liu; Zhangming Zhu (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Towards Energy Efficient 5G vRAN Servers. - Anuj Kalia; Nikita Lazarev; Leyang Xue; Xenofon Foukas; Bozidar Radunovic; Francis Y. Yan (NSDI, 2025)

MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching. - Tairan Xu; Leyang Xue; Zhan Lu; Adrian Jackson; Luo Mai (CoRR, 2025)

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems. - Yinsicheng Jiang; Yao Fu; Yeqi Huang; Ping Nie; Zhan Lu; Leyang Xue; Congjie He; Man-Kit Sit; Jilong Xue; Li Dong; Ziming Miao; Dayou Du; et al. (CoRR, 2025)

HybridServe: Efficient Serving of Large AI Models with Confidence-Based Cascade Routing. - Leyang Xue; Yao Fu; Luo Mai; Mahesh K. Marina (CoRR, 2025)

Towards Decentralized and Sustainable Foundation Model Training with the Edge. - Leyang Xue; Meghana Madhyastha; Randal C. Burns; Myungjin Lee; Mahesh K. Marina (CoRR, 2025)