Mingchao Yu
3 papers · 2018–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(10)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
distributed training
(2)
gradient aggregation
(1)
distributed learning
(1)
neural network optimization
(1)
vector quantization
(1)
convolutional neural network
(1)
gradient compression
(1)
recommendation system
(1)
bandwidth efficiency
(1)
gradient quantization
(1)
graph contrastive learning
(1)
subspace alignment
(1)
parallel training
(1)
multi-view alignment
(1)
false negative problem
(1)
contrastive sampling
(1)
pipelined training
(1)
stochastic gradient descent
(1)
deep net training
(1)
Papers
MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation
AAAI 2026
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
NeurIPS 2018
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
NeurIPS 2018