Ian En-Hsu Yen - Citegraph

Author Info

Name	Affiliation	Papers
IAN EN-HSU YEN	National Taiwan University, Taipei, Taiwan Roc	24
Collaborators	Citations	PageRank
52	84	9.56
Referers	Referees	References
230	526	262

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100526

Publications (24 rows)

Collaborators (52 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Rethinking Network Pruning – under the Pre-train and Fine-tune Paradigm	0	0.34	2021
Minimizing FLOPs to Learn Efficient Sparse Representations	0	0.34	2020
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding	4	0.39	2019
Efficient Global String Kernel with Random Features: Beyond Counting Substructures	0	0.34	2019
D2KE: From Distance to Kernel and Embedding.	6	0.41	2018
Word Mover's Embedding: From Word2Vec to Document Embedding.	5	0.45	2018
Representer Point Selection for Explaining Deep Neural Networks.	2	0.36	2018
Loss Decomposition for Fast Learning in Large Output Spaces.	4	0.37	2018
MixLasso - Generalized Mixed Regression via Convex Atomic-Norm Regularization.	0	0.34	2018
Scalable Spectral Clustering Using Random Binning Features.	2	0.36	2018
Learning Tensor Latent Features.	0	0.34	2018
Latent Feature Lasso.	0	0.34	2017
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization.	0	0.34	2017
PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification.	18	0.67	2017
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain.	0	0.34	2016
Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation.	3	0.40	2016
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification.	24	0.78	2016
Large-scale Submodular Greedy Exemplar Selection with Structured Similarity Matrices.	3	0.39	2016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery.	1	0.35	2016
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models	3	0.39	2015
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent	5	0.42	2015
A Dual Augmented Block Minimization Framework for Learning with Limited Memory	2	0.38	2015
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space.	0	0.34	2014
Indexed block coordinate descent for large-scale linear classification with limited memory	2	0.38	2013