← Authors

Chih-Jen Lin

33 papers · 2004–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (21) πŸ—ΊοΈ Taxonomy Completionist (41) 🌈 Renaissance Researcher (7) 🌟 Keyword Trendsetter Combo (3) πŸ‘₯ Mega-Team (24) πŸ”¬ Deep Specialist (20) πŸ† Keyword Champion (4) πŸ”₯ Unstoppable (12) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (134) πŸ’Ž Century Club (33) πŸ“ˆ Trend Setter

Conferences

JMLR (19) ACL (3) ACML (2) CVPR (2) EMNLP (2) IJCNLP (2) NAACL (2) AAAI (1)

Top co-authors

Cho-jui Hsieh (7) Kai-Wei Chang (7) Ruby C. Weng (5) Si-An Chen (5) Jie-Jyun Liu (4) Hsuan-tien Lin (4) Yong Zhuang (3) Wei-Sheng Chin (3) Tsung-Han Yang (3) Fang-Lan Huang (3)

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