Liang Lan
6 papers · 2012–2021 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (14) π Conference Polyglot Β· Bronze
π±
Topic Pioneer
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Keyword Champion
(2)
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Trend Setter
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Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
linear svm
(2)
support vector machine
(2)
kernel support vector machine
(2)
model compression
(2)
kernel approximation
(1)
low-rank approximation
(1)
importance sampling
(1)
kernel matrix
(1)
scalable training
(1)
feature interaction
(1)
random projection
(1)
convolutional neural network
(1)
weight quantization
(1)
memory cost
(1)
factorization machine
(1)
binary neural network
(1)
interpretable prediction
(1)
low-rank linearization
(1)
binary embedding
(1)
hadamard transform
(1)
Papers
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
AAAI 2021
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients
AAAI 2021
Improved Subsampled Randomized Hadamard Transform for Linear SVM
AAAI 2020
Accurate and Interpretable Factorization Machines
AAAI 2019
BudgetedSVM: A Toolbox for Scalable SVM Approximations
JMLR 2013
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach
AISTATS 2012