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2020 – today
- 2026
[j4]Meng Li
, Xin Lu, Shuiling Shi, Leyang Xue, Zengru Di:
Nonlinear random walks on hypergraphs characterized by higher-order interactions. Reliab. Eng. Syst. Saf. 273: 112307 (2026)- [c8]Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos J. Storkey, Randal C. Burns, Mahesh K. Marina:
On Harnessing Idle Compute at the Edge for Foundation Model Training. EuroMLSys@EuroSys 2026: 407-416 - [c7]Leyang Xue, Yufeng Xia, Eren Mendi, Ismaeel Bashir, Jiaxun Yang, Myungjin Lee, Mahesh K. Marina:
Morphling: Emulator for Distributed Machine Learning at the Edge. MobiSys Workshops 2026: 307-314 - [c6]Leyang Xue, Bolun Zhang, Mahesh K. Marina, He Yan, Yu Zhou, Cheuk Yiu Ip, James Klosowski:
Towards Automated RAN Configuration Tuning in Cellular Networks with Causal Learning. HotMobile 2026: 139-144 - [i16]Zhihang Yuan, Leyang Xue, Waleed Ahsan, Mahesh K. Marina:
TUBO: A Tailored ML Framework for Reliable Network Traffic Forecasting. CoRR abs/2602.11759 (2026) - [i15]Yeqi Huang, Yanwei Ye, Guomin Chen, Wenhao Su, Bin Gong, Jialian Li, Zhan Lu, Yangshen Deng, Xuan Sun, Leyang Xue, Luo Mai:
SwarmX: Agentic Scheduling for Low-Latency Agentic Systems. CoRR abs/2606.21401 (2026) - [i14]Tairan Xu, Leyang Xue, Zhan Lu, Jinfu Deng, Hongyang Xiao, Yinsicheng Jiang, Congjie He, Matej Sandor, Leyang Xue, Luo Mai:
BatchGen: An Architecture for Scalable and Efficient Batch Inference. CoRR abs/2606.21712 (2026) - [i13]Tairan Xu, Leyang Xue, Zhan Lu, Jinfu Deng, Hongyang Xiao, Yinsicheng Jiang, Congjie He, Matej Sandor, Leyang Xue, Luo Mai:
BatchGen: An Architecture for Scalable and Efficient Batch Inference. CoRR abs/2606.21712 (2026) - 2025
- [c5]Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos Storkey, Randal C. Burns, Mahesh K. Marina:
Poster: On Harnessing Idle Compute at the Edge for Foundation Model Training. MobiCom 2025: 1329-1331 - [c4]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, Tairan Xu, Kai Zou, Edoardo Maria Ponti, Luo Mai:
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems. NeurIPS 2025 - [c3]Anuj Kalia, Nikita Lazarev, Leyang Xue, Xenofon Foukas, Bozidar Radunovic, Francis Y. Yan:
Towards Energy Efficient 5G vRAN Servers. NSDI 2025: 1205-1219 - [i12]Tairan Xu, Leyang Xue, Zhan Lu, Adrian Jackson, Luo Mai:
MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching. CoRR abs/2503.09716 (2025) - [i11]Leyang Xue, Yao Fu, Luo Mai, Mahesh K. Marina:
HybridServe: Efficient Serving of Large AI Models with Confidence-Based Cascade Routing. CoRR abs/2505.12566 (2025) - [i10]Leyang Xue, Meghana Madhyastha, Randal C. Burns, Myungjin Lee, Mahesh K. Marina:
Towards Decentralized and Sustainable Foundation Model Training with the Edge. CoRR abs/2507.01803 (2025) - [i9]Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos J. Storkey, Randal C. Burns, Mahesh K. Marina:
On Harnessing Idle Compute at the Edge for Foundation Model Training. CoRR abs/2512.22142 (2025) - 2024
- [j3]Longjie Zhong, Leyang Xue, Xiangyi Deng, Shubin Liu, Zhangming Zhu:
High Power-Efficiency Readout Circuit for MEMS Capacitive Accelerometer. IEEE Trans. Circuits Syst. II Express Briefs 71(1): 76-80 (2024) - [c2]Yao Fu, Leyang Xue, Yeqi Huang, Andrei-Octavian Brabete, Dmitrii Ustiugov, Yuvraj Patel, Luo Mai:
ServerlessLLM: Low-Latency Serverless Inference for Large Language Models. OSDI 2024: 135-153 - [i8]Yao Fu, Leyang Xue, Yeqi Huang, Andrei-Octavian Brabete, Dmitrii Ustiugov, Yuvraj Patel, Luo Mai:
ServerlessLLM: Locality-Enhanced Serverless Inference for Large Language Models. CoRR abs/2401.14351 (2024) - [i7]Leyang Xue, Yao Fu, Zhan Lu, Luo Mai, Mahesh K. Marina:
MoE-Infinity: Activation-Aware Expert Offloading for Efficient MoE Serving. CoRR abs/2401.14361 (2024) - [i6]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, Edoardo M. Ponti, Luo Mai:
MoE-CAP: Cost-Accuracy-Performance Benchmarking for Mixture-of-Experts Systems. CoRR abs/2412.07067 (2024) - [i5]Leyang Xue, Zengru Di, An Zeng:
Iterative structural coarse-graining for contagion dynamics in complex networks. CoRR abs/2412.20503 (2024) - 2023
- [i4]Peng Zhang, Xianyu Xu, Leyang Xue:
Community detection based on structural balance in signed networks. CoRR abs/2308.07990 (2023) - 2022
- [j2]Leyang Xue, Peng Zhang, An Zeng:
Maximizing spreading in complex networks with risk in node activation. Inf. Sci. 586: 1-23 (2022) - [c1]Leyang Xue, Mahesh K. Marina, Geng Li, Kai Zheng:
PAINT: Path Aware Iterative Network Tomography for Link Metric Inference. ICNP 2022: 1-12 - 2021
- [i3]Leyang Xue, Peng Zhang, An Zeng:
Maximizing spreading in complex networks with risk in node activation. CoRR abs/2104.06986 (2021)
2010 – 2019
- 2019
- [j1]Peng Zhang, Leyang Xue, An Zeng:
Predictability of diffusion-based recommender systems. Knowl. Based Syst. 185 (2019) - [i2]Peng Zhang, Leyang Xue, An Zeng:
Predictability of diffusion-based recommender systems. CoRR abs/1903.12388 (2019) - [i1]Leyang Xue, Peng Zhang, An Zeng:
Enhancing the long-term performance of recommender system. CoRR abs/1904.00672 (2019)
Coauthor Index
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