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2020 – today
- 2024
[j11]Bo Peng, Wu Lin, Wenjun Zhou, Yan Bai, Anguo Luo, Shenghua Xie, Lixue Yin:
Enhanced pediatric thyroid ultrasound image segmentation using DC-Contrast U-Net. BMC Medical Imaging 24(1): 275 (2024)- [j10]Wu Lin, Qiuzhen Lin
, Liang Feng, Kay Chen Tan:
Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. IEEE Trans. Evol. Comput. 28(2): 388-402 (2024) - [c22]Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani:
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective. ICML 2024 - [c21]Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani:
Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC. ICML 2024 - [i13]Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani:
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective. CoRR abs/2402.03496 (2024) - [i12]Juhan Bae, Wu Lin, Jonathan Lorraine, Roger Grosse:
Training Data Attribution via Approximate Unrolled Differentiation. CoRR abs/2405.12186 (2024) - 2023
- [j9]Xunfeng Wu, Qiuzhen Lin, Wu Lin, Yulong Ye, Qingling Zhu, Victor C. M. Leung:
A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization. Eng. Appl. Artif. Intell. 122: 106039 (2023) - [j8]Naili Luo, Yulong Ye, Wu Lin, Qiuzhen Lin, Victor C. M. Leung:
A novel multimodal multiobjective memetic algorithm with a local detection mechanism and a clustering-based selection strategy. Memetic Comput. 15(1): 31-43 (2023) - [c20]Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning. ICML 2023: 21026-21050 - [i11]Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Simplifying Momentum-based Riemannian Submanifold Optimization. CoRR abs/2302.09738 (2023) - [i10]Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani:
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets. CoRR abs/2312.05705 (2023) - 2022
- [j7]Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong:
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Trans. Cybern. 52(8): 8561-8573 (2022) - 2021
- [j6]Naili Luo, Wu Lin, Genmiao Jin, Changkun Jiang, Jianyong Chen:
Decomposition-Based Multiobjective Evolutionary Algorithm With Genetically Hybrid Differential Evolution Strategy. IEEE Access 9: 2428-2442 (2021) - [j5]Naili Luo, Wu Lin, Peizhi Huang, Jianyong Chen:
An Evolutionary Algorithm with Clustering-Based Assisted Selection Strategy for Multimodal Multiobjective Optimization. Complex. 2021: 4393818:1-4393818:13 (2021) - [j4]Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong:
Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection. Swarm Evol. Comput. 60: 100790 (2021) - [j3]Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello:
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces. IEEE Trans. Evol. Comput. 25(1): 130-144 (2021) - [c19]Zhongjian Wu, Wu Lin, Huimei Tang, Qiuzhen Lin:
A Multiobjective Multitask Evolutionary Algorithm Based on Decomposition and Multivariate Gaussian Distribution. CCIS 2021: 104-108 - [c18]Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Tractable structured natural-gradient descent using local parameterizations. ICML 2021: 6680-6691 - [i9]Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Tractable structured natural gradient descent using local parameterizations. CoRR abs/2102.07405 (2021) - [i8]Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Structured second-order methods via natural gradient descent. CoRR abs/2107.10884 (2021) - 2020
- [c17]Lingjie Li, Wu Lin, Qiuzhen Lin, Zhong Ming:
Balancing Convergence and Diversity in Multiobjective Immune Algorithm. ICACI 2020: 102-109 - [c16]Wu Lin, Yuan Li, Naili Luo:
A Novel Decomposition-Based Multimodal Multi-objective Evolutionary Algorithm. ICIC (2) 2020: 571-582 - [c15]Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan:
Handling the Positive-Definite Constraint in the Bayesian Learning Rule. ICML 2020: 6116-6126 - [i7]Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan:
Handling the Positive-Definite Constraint in the Bayesian Learning Rule. CoRR abs/2002.10060 (2020)
2010 – 2019
- 2019
- [j2]Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianqiang Li, Jianyong Chen, Zhong Ming:
Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization. Complex. 2019: 7436712:1-7436712:22 (2019) - [c14]Ruizhi Shi, Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianyong Chen:
Multimodal Multi-objective Optimization Using A Density-based One-by-One Update Strategy. CEC 2019: 295-301 - [c13]Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt:
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations. ICML 2019: 3992-4002 - [i6]Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt:
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations. CoRR abs/1906.02914 (2019) - [i5]Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt:
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures. CoRR abs/1910.13398 (2019) - 2018
- [c12]Wu Lin, Nicolas Hubacher, Mohammad Emtiyaz Khan:
Variational Message Passing with Structured Inference Networks. ICLR (Poster) 2018 - [c11]Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava:
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. ICML 2018: 2616-2625 - [i4]Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava:
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. CoRR abs/1806.04854 (2018) - 2017
- [c10]Mohammad Emtiyaz Khan, Wu Lin:
Conjugate-Computation Variational Inference: Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models. AISTATS 2017: 878-887 - [i3]Mohammad Emtiyaz Khan, Wu Lin:
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models. CoRR abs/1703.04265 (2017) - [i2]Mohammad Emtiyaz Khan, Wu Lin, Voot Tangkaratt, Zuozhu Liu, Didrik Nielsen:
Variational Adaptive-Newton Method for Explorative Learning. CoRR abs/1711.05560 (2017) - 2016
- [c9]Israel Durán, Wu Lin, Francesc Torres, Ignasi Corbella, Nuria Duffo, Manuel Martín-Neira:
SMOS simplified iterative full-pol brightness temperature retrieval. IGARSS 2016: 842-845 - [c8]Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama:
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions. UAI 2016 - 2015
- [c7]Ignasi Corbella, Israel Durán, Wu Lin, Francesc Torres, Nuria Duffo, Ali Khazaal, Manuel Martín-Neira:
Mitigation of land-sea contamination in SMOS. IGARSS 2015: 1433-1436 - [c6]Israel Durán, Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martín-Neira:
SMOS floor error impact and migation on ocean imaging. IGARSS 2015: 1437-1440 - [c5]Haotian Zhang, Wu Lin, Yipeng Wang, Charles L. A. Clarke, Mark D. Smucker:
WaterlooClarke: TREC 2015 Total Recall Track. TREC 2015 - [i1]Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama:
Convergence of Proximal-Gradient Stochastic Variational Inference under Non-Decreasing Step-Size Sequence. CoRR abs/1511.00146 (2015) - 2014
- [c4]Francesc Torres, Ignasi Corbella, Israel Durán, Wu Lin, Nuria Duffo, Manuel Martín-Neira:
Residual calibration error impact on SMOS SLL performance. IGARSS 2014: 2542-2545 - 2012
- [j1]Francesc Torres, Ignasi Corbella, Wu Lin, Nuria Duffo, Jérôme Gourrion, Jordi Font, Manuel Martín-Neira:
Minimization of Image Distortion in SMOS Brightness Temperature Maps Over the Ocean. IEEE Geosci. Remote. Sens. Lett. 9(1): 18-22 (2012) - [c3]Francesc Torres, Wu Lin, Nuria Duffo, Ignasi Corbella, Manuel Martín-Neira:
Spatial decorrelation of radiometric noise in SMOS measurements. IGARSS 2012: 2972-2974 - 2011
- [c2]Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martín-Neira:
Correction of spatial errors in SMOS brightness temperature images. IGARSS 2011: 3752-3755 - 2010
- [c1]Lian'en Huang, Wu Lin, Xiaoming Li:
Searching for Historical Events on a Large-Scale Web Archive. SKG 2010: 259-266
Coauthor Index
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