Chih-Jen Lin
33 papers · 2004–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (21) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Cross-Pollinator (13)
π
Academic Marathon
(21)
πΊοΈ
Taxonomy Completionist
(41)
π
Renaissance Researcher
(7)
π
Keyword Trendsetter Combo
(3)
π₯
Mega-Team
(24)
π¬
Deep Specialist
(20)
π
Keyword Champion
(4)
π₯
Unstoppable
(12)
π
Conference Pioneer
ποΈ
Keyword Collector
(134)
π
Century Club
(33)
π
Trend Setter
Conferences
JMLR (19)
ACL (3)
ACML (2)
CVPR (2)
EMNLP (2)
IJCNLP (2)
NAACL (2)
AAAI (1)
Top co-authors
Keywords
support vector machine
(7)
multi-label classification
(4)
text classification
(4)
linear classification
(4)
coordinate descent
(4)
multi-label text classification
(3)
logistic regression
(3)
multi-class classification
(3)
decomposition method
(2)
linear classifier
(2)
multilabel classification
(2)
second order information
(2)
feature engineering
(2)
newton method
(2)
linear convergence
(2)
l1 regularization
(2)
convex optimization
(2)
benchmark evaluation
(2)
parameter selection
(2)
working set selection
(2)
Papers
Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification
NAACL 2025
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification
EMNLP 2024
Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems
EMNLP 2024
Linear Classifier: An Often-Forgotten Baseline for Text Classification
ACL 2023
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
AAAI 2022
Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN
NAACL 2022
Parameter Selection: Why We Should Pay More Attention to It
ACL 2021
Parameter Selection: Why We Should Pay More Attention to It
IJCNLP 2021
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems
JMLR 2021
The Common-directions Method for Regularized Empirical Risk Minimization
JMLR 2019
Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification
ACML 2018
A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification
ACML 2017
LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems
JMLR 2016
Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013
JMLR 2015
Iteration Complexity of Feasible Descent Methods for Convex Optimization
JMLR 2014
Effective String Processing and Matching for Author Disambiguation
JMLR 2014
Large-Scale Video Summarization Using Web-Image Priors
CVPR 2013
Dense Non-rigid Point-Matching Using Random Projections
CVPR 2013
An Improved GLMNET for L1-regularized Logistic Regression
JMLR 2012
Large-scale Linear Support Vector Regression
JMLR 2012
A Bayesian Approximation Method for Online Ranking
JMLR 2011
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
JMLR 2010
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification
JMLR 2010
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
JMLR 2010
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy
IJCNLP 2009
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy
ACL 2009
LIBLINEAR: A Library for Large Linear Classification
JMLR 2008
Ranking Individuals by Group Comparisons
JMLR 2008
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
JMLR 2008
Trust Region Newton Method for Logistic Regression
JMLR 2008
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
JMLR 2006
Working Set Selection Using Second Order Information for Training Support Vector Machines
JMLR 2005
Probability Estimates for Multi-class Classification by Pairwise Coupling
JMLR 2004