Mingchao Yu
3 papers · 2018–2026 · 2 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Academic Marathon (8) π Interdisciplinary Bridge π Conference Polyglot (2) πΊοΈ Taxonomy Completionist (11)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Trend Setter
Conferences
NIPS (2)
AAAI (1)
Top co-authors
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
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
NIPS 2018
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
NIPS 2018