| 2025 | CEC | An Enhanced Search Direction-Based Knowledge Transfer for Multiobjective Many-Tasking Evolutionary Optimization. | Wu Lin, Songbai Liu, Qingling Zhu, Qiuzhen Lin |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2023 | ICML | 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 |
| 2021 | ICML | Tractable structured natural-gradient descent using local parameterizations. | Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt |
| 2020 | ICML | Handling the Positive-Definite Constraint in the Bayesian Learning Rule. | Wu Lin, Mark Schmidt, Mohammad Emtiyaz Khan |
| 2019 | CEC | Multimodal Multi-objective Optimization Using A Density-based One-by-One Update Strategy. | Ruizhi Shi, Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianyong Chen |
| 2019 | ICML | Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations. | Wu Lin, Mohammad Emtiyaz Khan, Mark Schmidt |
| 2018 | ICLR | Variational Message Passing with Structured Inference Networks. | Wu Lin, Nicolas Hubacher, Mohammad Emtiyaz Khan |
| 2018 | ICML | Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. | Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava |
| 2017 | AISTATS | Conjugate-Computation Variational Inference: Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models. | Mohammad Emtiyaz Khan, Wu Lin |
| 2016 | IGARSS | SMOS simplified iterative full-pol brightness temperature retrieval. | Israel Durn, Wu Lin, Francesc Torres, Ignasi Corbella, Nuria Duffo, Manuel Martn-Neira |
| 2016 | UAI | Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions. | Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama |
| 2015 | IGARSS | Mitigation of land-sea contamination in SMOS. | Ignasi Corbella, Israel Durn, Wu Lin, Francesc Torres, Nuria Duffo, Ali Khazaal, Manuel Martn-Neira |
| 2015 | IGARSS | SMOS floor error impact and migation on ocean imaging. | Israel Durn, Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martn-Neira |
| 2014 | IGARSS | Residual calibration error impact on SMOS SLL performance. | Francesc Torres, Ignasi Corbella, Israel Durn, Wu Lin, Nuria Duffo, Manuel Martn-Neira |
| 2012 | IGARSS | Spatial decorrelation of radiometric noise in SMOS measurements. | Francesc Torres, Wu Lin, Nuria Duffo, Ignasi Corbella, Manuel Martn-Neira |
| 2011 | IGARSS | Correction of spatial errors in SMOS brightness temperature images. | Wu Lin, Ignasi Corbella, Francesc Torres, Nuria Duffo, Manuel Martn-Neira |