Wu Lin

According to our database, Wu Lin authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhanced pediatric thyroid ultrasound image segmentation using DC-Contrast U-Net.

Bo Peng, Wu Lin, Wenjun Zhou, Yan Bai, Anguo Luo, Shenghua Xie, Lixue Yin

BMC Medical Imaging, December, 2024

Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking.

Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan

IEEE Trans. Evol. Comput., April, 2024

Training Data Attribution via Approximate Unrolled Differentiation.

Juhan Bae, Wu Lin, Jonathan Lorraine, Roger Grosse

CoRR, 2024

Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC.

Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective.

Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A novel multimodal multiobjective memetic algorithm with a local detection mechanism and a clustering-based selection strategy.

Naili Luo, Yulong Ye, Wu Lin, Qiuzhen Lin, Victor C. M. Leung

Memetic Comput., March, 2023

A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization.

Xunfeng Wu, Qiuzhen Lin, Wu Lin, Yulong Ye, Qingling Zhu, Victor C. M. Leung

Eng. Appl. Artif. Intell., 2023

Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets.

Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani

CoRR, 2023

Simplifying Momentum-based Riemannian Submanifold Optimization.

Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt

CoRR, 2023

Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning.

Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt

Proceedings of the International Conference on Machine Learning, 2023

2022

From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence.

Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong

IEEE Trans. Cybern., 2022

2021

Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces.

Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello

IEEE Trans. Evol. Comput., 2021

Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection.

Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong

Swarm Evol. Comput., 2021

Structured second-order methods via natural gradient descent.

Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt

CoRR, 2021

An Evolutionary Algorithm with Clustering-Based Assisted Selection Strategy for Multimodal Multiobjective Optimization.

Naili Luo, Wu Lin, Peizhi Huang, Jianyong Chen

Complex., 2021

Decomposition-Based Multiobjective Evolutionary Algorithm With Genetically Hybrid Differential Evolution Strategy.

Naili Luo, Wu Lin, Genmiao Jin, Changkun Jiang, Jianyong Chen

IEEE Access, 2021

Tractable structured natural-gradient descent using local parameterizations.

Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt

Proceedings of the 38th International Conference on Machine Learning, 2021

A Multiobjective Multitask Evolutionary Algorithm Based on Decomposition and Multivariate Gaussian Distribution.

Zhongjian Wu, Wu Lin, Huimei Tang, Qiuzhen Lin

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020

Handling the Positive-Definite Constraint in the Bayesian Learning Rule.

Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan

Proceedings of the 37th International Conference on Machine Learning, 2020

A Novel Decomposition-Based Multimodal Multi-objective Evolutionary Algorithm.

Wu Lin, Yuan Li, Naili Luo

Proceedings of the Intelligent Computing Theories and Application, 2020

Balancing Convergence and Diversity in Multiobjective Immune Algorithm.

Lingjie Li, Wu Lin, Qiuzhen Lin, Zhong Ming

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019

Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures.

Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt

CoRR, 2019

Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization.

Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianqiang Li, Jianyong Chen, Zhong Ming

Complex., 2019

Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations.

Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt

Proceedings of the 36th International Conference on Machine Learning, 2019

Multimodal Multi-objective Optimization Using A Density-based One-by-One Update Strategy.

Ruizhi Shi, Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianyong Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam.

Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava

Proceedings of the 35th International Conference on Machine Learning, 2018

Variational Message Passing with Structured Inference Networks.

Wu Lin, Nicolas Hubacher, Mohammad Emtiyaz Khan

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Variational Adaptive-Newton Method for Explorative Learning.

Mohammad Emtiyaz Khan, Wu Lin, Voot Tangkaratt, Zuozhu Liu, Didrik Nielsen

CoRR, 2017

Conjugate-Computation Variational Inference: Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models.

Mohammad Emtiyaz Khan, Wu Lin

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions.

Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

SMOS simplified iterative full-pol brightness temperature retrieval.

Israel Durán, Wu Lin, Francesc Torres, Ignasi Corbella, Nuria Duffo, Manuel Martín-Neira

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Convergence of Proximal-Gradient Stochastic Variational Inference under Non-Decreasing Step-Size Sequence.

Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama

CoRR, 2015

WaterlooClarke: TREC 2015 Total Recall Track.

Haotian Zhang, Wu Lin, Yipeng Wang, Charles L. A. Clarke, Mark D. Smucker

Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

SMOS floor error impact and migation on ocean imaging.

Israel Durán, Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martín-Neira

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Mitigation of land-sea contamination in SMOS.

Ignasi Corbella, Israel Durán, Wu Lin, Francesc Torres, Nuria Duffo, Ali Khazaal, Manuel Martín-Neira

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Residual calibration error impact on SMOS SLL performance.

Francesc Torres, Ignasi Corbella, Israel Durán, Wu Lin, Nuria Duffo, Manuel Martín-Neira

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2012

Minimization of Image Distortion in SMOS Brightness Temperature Maps Over the Ocean.

Francesc Torres, Ignasi Corbella, Wu Lin, Nuria Duffo, Jérôme Gourrion, Jordi Font, Manuel Martín-Neira

IEEE Geosci. Remote. Sens. Lett., 2012

Spatial decorrelation of radiometric noise in SMOS measurements.

Francesc Torres, Wu Lin, Nuria Duffo, Ignasi Corbella, Manuel Martín-Neira

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

Correction of spatial errors in SMOS brightness temperature images.

Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martín-Neira

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

Searching for Historical Events on a Large-Scale Web Archive.

Lian'en Huang, Wu Lin, Xiaoming Li

Proceedings of the Sixth International Conference on Semantics Knowledge and Grid, 2010