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Carole-Jean Wu — most-cited papers & profile · AI for Science
← authors
·
overview
Carole-Jean Wu
12
papers ·
26
citations ·
35
h-index
Medieval Academy of America · University of Maryland, College Park
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Most-cited papers
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
2024 · 26 citations
Experience Graphs: The Data Foundation for Self-Improving Agents
2026
Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
2026
Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths
2026
Hybrid Architectures for Language Models: Systematic Analysis and Design Insights
2025
Cross-Stack Workload Characterization of Deep Recommendation Systems
2020
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
2020
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale
2021
On Sampling Collaborative Filtering Datasets
2022
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
2022
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models
2023
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation
2023
Topics
cs.IR
cs.LG
cs.DC
cs.AR
cs.PF
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