Wu Lin - RankMe

53 papers A* 8A 2B 2C 6Journal 28Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Expensive multiobjective immune algorithm using a novel differential evolution in objective space. Expert Syst. Appl. Yuchao Su, Wu Lin, Daxin Zhu, Anhui Tan, Ka-Chun Wong, Qiuzhen Lin
2026	J	`jnl`	Federated surrogate-assisted evolutionary framework for distributed data-driven multiobjective optimization. Inf. Sci. Qianhui Ding, Wu Lin, Yinglan Feng, Lijia Ma, Ka-Chun Wong, Qiuzhen Lin, Jianqiang Li
2025	B	`conf`	An Enhanced Search Direction-Based Knowledge Transfer for Multiobjective Many-Tasking Evolutionary Optimization. CEC Wu Lin, Songbai Liu, Qingling Zhu, Qiuzhen Lin
2025	J	`jnl`	Spectral-factorized Positive-definite Curvature Learning for NN Training. CoRR Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Roger B. Grosse
2025	J	`jnl`	Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization. CoRR Wu Lin, Scott C. Lowe, Felix Dangel, Runa Eschenhagen, Zikun Xu, Roger B. Grosse
2024	A*	`conf`	Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective. ICML Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani
2024	J	`jnl`	Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective. CoRR Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani
2024	J	`jnl`	Enhanced pediatric thyroid ultrasound image segmentation using DC-Contrast U-Net. BMC Medical Imaging Bo Peng, Wu Lin, Wenjun Zhou, Yan Bai, Anguo Luo, Shenghua Xie, Lixue Yin
2024	J	`jnl`	Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking. IEEE Trans. Evol. Comput. Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan
2024	—	`conf`	Sequential Transfer via Clustering-Based Similarity Measurement for Faster Trajectory Optimization. CAI Wu Lin, Qiuzhen Lin, Xiaoming Xue, Kay Chen Tan
2024	A*	`conf`	Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC. ICML Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani
2024	J	`jnl`	Training Data Attribution via Approximate Unrolled Differentiation. CoRR Juhan Bae, Wu Lin, Jonathan Lorraine, Roger B. Grosse
2024	A*	`conf`	Training Data Attribution via Approximate Unrolling. NeurIPS Juhan Bae, Wu Lin, Jonathan Lorraine, Roger B. Grosse
2023	J	`jnl`	A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization. Eng. Appl. Artif. Intell. Xunfeng Wu, Qiuzhen Lin, Wu Lin, Yulong Ye, Qingling Zhu, Victor C. M. Leung
2023	J	`jnl`	A novel multimodal multiobjective memetic algorithm with a local detection mechanism and a clustering-based selection strategy. Memetic Comput. Naili Luo, Yulong Ye, Wu Lin, Qiuzhen Lin, Victor C. M. Leung
2023	A*	`conf`	Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning. ICML Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2023	J	`jnl`	Simplifying Momentum-based Riemannian Submanifold Optimization. CoRR Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2023	J	`jnl`	Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets. CoRR Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani
2022	J	`jnl`	From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Trans. Cybern. Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong
2021	—	`conf`	A Multiobjective Multitask Evolutionary Algorithm Based on Decomposition and Multivariate Gaussian Distribution. CCIS Zhongjian Wu, Wu Lin, Huimei Tang, Qiuzhen Lin
2021	J	`jnl`	An Evolutionary Algorithm with Clustering-Based Assisted Selection Strategy for Multimodal Multiobjective Optimization. Complex. Naili Luo, Wu Lin, Peizhi Huang, Jianyong Chen
2021	J	`jnl`	Decomposition-Based Multiobjective Evolutionary Algorithm With Genetically Hybrid Differential Evolution Strategy. IEEE Access Naili Luo, Wu Lin, Genmiao Jin, Changkun Jiang, Jianyong Chen
2021	J	`jnl`	Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection. Swarm Evol. Comput. Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong
2021	J	`jnl`	Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces. IEEE Trans. Evol. Comput. Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello
2021	J	`jnl`	Structured second-order methods via natural gradient descent. CoRR Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2021	J	`jnl`	Tractable structured natural gradient descent using local parameterizations. CoRR Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2021	A*	`conf`	Tractable structured natural-gradient descent using local parameterizations. ICML Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2020	—	`conf`	A Novel Decomposition-Based Multimodal Multi-objective Evolutionary Algorithm. ICIC (2) Wu Lin, Yuan Li, Naili Luo
2020	—	`conf`	Balancing Convergence and Diversity in Multiobjective Immune Algorithm. ICACI Lingjie Li, Wu Lin, Qiuzhen Lin, Zhong Ming
2020	A*	`conf`	Handling the Positive-Definite Constraint in the Bayesian Learning Rule. ICML Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan
2020	J	`jnl`	Handling the Positive-Definite Constraint in the Bayesian Learning Rule. CoRR Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan
2019	J	`jnl`	Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization. Complex. Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianqiang Li, Jianyong Chen, Zhong Ming
2019	A*	`conf`	Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations. ICML Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt
2019	J	`jnl`	Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations. CoRR Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt
2019	B	`conf`	Multimodal Multi-objective Optimization Using A Density-based One-by-One Update Strategy. CEC Ruizhi Shi, Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianyong Chen
2019	J	`jnl`	Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures. CoRR Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt
2018	A*	`conf`	Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. ICML Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava
2018	J	`jnl`	Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. CoRR Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava
2018	—	`conf`	Variational Message Passing with Structured Inference Networks. ICLR (Poster) Wu Lin, Nicolas Hubacher, Mohammad Emtiyaz Khan
2017	J	`jnl`	Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models. CoRR Mohammad Emtiyaz Khan, Wu Lin
2017	A	`conf`	Conjugate-Computation Variational Inference: Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models. AISTATS Mohammad Emtiyaz Khan, Wu Lin
2017	J	`jnl`	Variational Adaptive-Newton Method for Explorative Learning. CoRR Mohammad Emtiyaz Khan, Wu Lin, Voot Tangkaratt, Zuozhu Liu, Didrik Nielsen
2016	A	`conf`	Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions. UAI Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama
2016	C	`conf`	SMOS simplified iterative full-pol brightness temperature retrieval. IGARSS Israel Durán, Wu Lin, Francesc Torres, Ignasi Corbella, Nuria Duffo, Manuel Martín-Neira
2015	J	`jnl`	Convergence of Proximal-Gradient Stochastic Variational Inference under Non-Decreasing Step-Size Sequence. CoRR Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama
2015	C	`conf`	Mitigation of land-sea contamination in SMOS. IGARSS Ignasi Corbella, Israel Durán, Wu Lin, Francesc Torres, Nuria Duffo, Ali Khazaal, Manuel Martín-Neira
2015	C	`conf`	SMOS floor error impact and migation on ocean imaging. IGARSS Israel Durán, Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martín-Neira
2015	—	`conf`	WaterlooClarke: TREC 2015 Total Recall Track. TREC Haotian Zhang, Wu Lin, Yipeng Wang, Charles L. A. Clarke, Mark D. Smucker
2014	C	`conf`	Residual calibration error impact on SMOS SLL performance. IGARSS Francesc Torres, Ignasi Corbella, Israel Durán, Wu Lin, Nuria Duffo, Manuel Martín-Neira
2012	J	`jnl`	Minimization of Image Distortion in SMOS Brightness Temperature Maps Over the Ocean. IEEE Geosci. Remote. Sens. Lett. Francesc Torres, Ignasi Corbella, Wu Lin, Nuria Duffo, Jérôme Gourrion, Jordi Font, Manuel Martín-Neira
2012	C	`conf`	Spatial decorrelation of radiometric noise in SMOS measurements. IGARSS Francesc Torres, Wu Lin, Nuria Duffo, Ignasi Corbella, Manuel Martín-Neira
2011	C	`conf`	Correction of spatial errors in SMOS brightness temperature images. IGARSS Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martín-Neira
2010	—	`conf`	Searching for Historical Events on a Large-Scale Web Archive. SKG Lian'en Huang, Wu Lin, Xiaoming Li