Liang Luo
Scholar

Liang Luo

Google Scholar ID: RbhS2h4AAAAJ
University of Washington
Systems for Machine LearningComputer SystemsComputer ArchitectureMachine Learning for Systems
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,797
 
H-index
14
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Contact
CVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
16 items
Xtrace: High-Fidelity GPU Intra-Kernel Tracing via Binary-Level Instruction Splicing
2026
Cited
0
MARCO: Click-Intent Decomposition for Calibrated Ads Conversion Prediction
2026
Cited
0
ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation
2026
Cited
0
UnpredictaBench: A Benchmark for Evaluating Distributional Randomness in LLMs
2026
Cited
0
LoKA: Low-precision Kernel Applications for Recommendation Models At Scale
2026
Cited
0
FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost
2026
Cited
0
SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling
2026
Cited
0
Implicit Turn-Wise Policy Optimization for Proactive User-LLM Interaction
2026
Cited
0
Resume
Research Experience
  • Currently a researcher at Meta AI.
Background
  • Currently a researcher at Meta AI, working on the intersection of machine learning and systems.