Lin Qu
4 papers · 2022–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (16)
π₯
Mega-Team
(22)
Conferences
NIPS (3)
NSDI (1)
Top co-authors
Keywords
large language model
(2)
domain adaptation
(2)
knowledge distillation
(1)
gradient aggregation
(1)
model serving
(1)
distributed training
(1)
parameter server
(1)
asynchronous training
(1)
scaling law
(1)
continual pre-training
(1)
downstream performance
(1)
mixture ratio
(1)
cross-domain generalization
(1)
deep learning recommendation
(1)
recommendation model
(1)
resource disaggregation
(1)
gpu fragmentation
(1)
model compression
(1)
capacity loaning
(1)
transfer learning
(1)
Papers
GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale
NSDI 2025
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
NIPS 2024
DDK: Distilling Domain Knowledge for Efficient Large Language Models
NIPS 2024
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models
NIPS 2022