Xiangxi Mo

Computer Science · Physical Sciences

6h-index178citations21works0.82yr avg
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Research Topics

Advanced Neural Network Applications(5), Advanced Data Storage Technologies(5), Machine Learning and Data Classification(5), Parallel Computing and Optimization Techniques(3), Cloud Computing and Resource Management(3)

Publications21 total

AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization
ArXiv.org·2026Open Access
AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization
arXiv (Cornell University)·2026Open Access
Delta Fair Sharing: Performance Isolation for Multi-Tenant Storage Systems
ArXiv.org·2026Open Access
Delta Fair Sharing: Performance Isolation for Multi-Tenant Storage Systems
arXiv (Cornell University)·2026Open Access
SkyStore: Cost-Optimized Object Storage Across Regions and Clouds
Proceedings of the VLDB Endowment·2025
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
arXiv (Cornell University)·2025Open Access
Language Models Can Easily Learn to Reason from Demonstrations
2025· 2 citedOpen Access
Pie: Pooling CPU Memory for LLM Inference
arXiv (Cornell University)·2024Open Access
TurboSpec: Closed-loop Speculation Control System for Optimizing LLM Serving Goodput
arXiv (Cornell University)·2024Open Access
Optimizing LLM Queries in Relational Data Analytics Workloads
arXiv (Cornell University)·2024· 6 citedOpen Access
RALF: Accuracy-Aware Scheduling for Feature Store Maintenance
Proceedings of the VLDB Endowment·2023· 2 cited
Context-Aware Streaming Perception in Dynamic Environments
arXiv (Cornell University)·2022Open Access
Context-Aware Streaming Perception in Dynamic Environments
Lecture notes in computer science·2022· 7 cited
InferLine
2020· 89 citedOpen Access
Towards scalable dataframe systems
Proceedings of the VLDB Endowment·2020· 7 citedOpen Access
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning
arXiv (Cornell University)·2019Open Access
Pay Attention to Convolution Filters: Towards Fast and Accurate\n Fine-Grained Transfer Learning
arXiv (Cornell University)·2019· 1 citedOpen Access
The OoO VLIW JIT Compiler for GPU Inference
arXiv (Cornell University)·2019· 4 citedOpen Access
Dynamic Space-Time Scheduling for GPU Inference
arXiv (Cornell University)·2018· 27 citedOpen Access
InferLine: ML Prediction Pipeline Provisioning and Management for Tight Latency Objectives
arXiv (Cornell University)·2018· 4 citedOpen Access
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Frequent Co-authors

Ion Stoica(14), Joseph E. Gonzalez(13), Gur-Eyal Sela(5), Alexey Tumanov(5), Tyler Griggs(4), Matei Zaharia(4), Daniel Crankshaw(3), Corey Zumar(3), Matei Zaharia(3), Soujanya Ponnapalli(3), Paras Jain(2), Ajay N. Jain(2), Joseph M. Hellerstein(2), Ionel Gog(2), Justin Wong(2), Kumar Krishna Agrawal(2), Sukrit Kalra(2), Peter Schafhalter(2), Eric Leong(2), Bharathan Balaji(2)