| 2025 | AISTATS | A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities. | Yatin Dandi, Luca Pesce, Hugo Cui, Florent Krzakala, Yue M. Lu, Bruno Loureiro |
| 2024 | ICML | Asymptotics of feature learning in two-layer networks after one gradient-step. | Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborov, Bruno Loureiro |
| 2024 | ISIT | A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification. | Burak akmak, Yue M. Lu, Manfred Opper |
| 2021 | ICML | On the Inherent Regularization Effects of Noise Injection During Training. | Oussama Dhifallah, Yue M. Lu |
| 2020 | ICML | The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture. | Francesca Mignacco, Florent Krzakala, Yue M. Lu, Pierfrancesco Urbani, Lenka Zdeborov |
| 2019 | ICML | Generalized Approximate Survey Propagation for High-Dimensional Estimation. | Carlo Lucibello, Luca Saglietti, Yue M. Lu |
| 2019 | ISIT | Asymptotics and Optimal Designs of SLOPE for Sparse Linear Regression. | Hong Hu, Yue M. Lu |
| 2017 | ICASSP | Multiprocessor approximate message passing with column-wise partitioning. | Yanting Ma, Yue M. Lu, Dror Baron |
| 2017 | ICIP | Learning optimal parameters for binary sensing image reconstruction algorithms. | Renan A. Rojas, Wangyu Luo, Vctor Murray, Yue M. Lu |
| 2017 | ISIT | Spectral initialization for nonconvex estimation: High-dimensional limit and phase transitions. | Yue M. Lu, Gen Li |
| 2016 | ICASSP | Prosparse denoise: Prony's based sparse pattern recovery in the presence of noise. | Jon Onativia, Yue M. Lu, Pier Luigi Dragotti |
| 2016 | ITW | Online learning for sparse PCA in high dimensions: Exact dynamics and phase transitions. | Chuang Wang, Yue M. Lu |
| 2015 | ICASSP | Sampling spherical finite rate of innovation signals. | Ivan Dokmanic, Yue M. Lu |
| 2015 | ICASSP | Sparsity pattern recovery using FRI methods. | Jon Onativia, Yue M. Lu, Pier Luigi Dragotti |
| 2015 | ICIP | Understanding symmetric smoothing filters via Gaussian mixtures. | Stanley H. Chan, Todd E. Zickler, Yue M. Lu |
| 2014 | ACSSC | Optimal hypothesis testing with combinatorial structure: Detecting random walks on graphs. | Ameya Agaskar, Yue M. Lu |
| 2014 | ACSSC | Separation of interleaved Markov chains. | Ariana Minot, Yue M. Lu |
| 2014 | ICASSP | Finite dimensional FRI. | Jon Onativia, Yue M. Lu, Pier Luigi Dragoni |
| 2013 | CISS | Adaptive sensing and inference for single-photon imaging. | Yue M. Lu |
| 2013 | ICASSP | Detecting randomwalks hidden in noise: Phase transition on large graphs. | Ameya Agaskar, Yue M. Lu |
| 2013 | ICASSP | Fast non-local filtering by random sampling: It works, especially for large images. | Stanley H. Chan, Todd E. Zickler, Yue M. Lu |
| 2013 | ICASSP | A novel compressive sensing approach to simultaneously acquire color and near-infrared images on a single sensor. | Zahra Sadeghipoor, Yue M. Lu, Sabine Ssstrunk |
| 2012 | ICASSP | Uncertainty principles for signals defined on graphs: Bounds and characterizations. | Ameya Agaskar, Yue M. Lu |
| 2012 | ICASSP | Blind estimation and low-rate sampling of sparse mimo systems with common support. | Ying Xiong, Yue M. Lu |
| 2012 | ICIP | Graph-based regularization for color image demosaicking. | Chenhui Hu, Lin Cheng, Yue M. Lu |
| 2011 | ICASSP | Can one hear the shape of a room: The 2-D polygonal case. | Ivan Dokmanic, Yue M. Lu, Martin Vetterli |
| 2011 | ICASSP | Sparse spectral factorization: Unicity and reconstruction algorithms. | Yue M. Lu, Martin Vetterli |
| 2011 | ICASSP | Sampling and reconstructing diffusion fields with localized sources. | Juri Ranieri, Amina Chebira, Yue M. Lu, Martin Vetterli |
| 2011 | ICIP | Correlation-based joint acquisition and demosaicing of visible and near-infrared images. | Zahra Sadeghipoor, Yue M. Lu, Sabine Ssstrunk |
| 2010 | ICASSP | Learning sparse systems at sub-Nyquist rates: A frequency-domain approach. | Martin McCormick, Yue M. Lu, Martin Vetterli |
| 2009 | ICASSP | Spatial super-resolution of a diffusion field by temporal oversampling in sensor networks. | Yue M. Lu, Martin Vetterli |
| 2009 | ICASSP | Distributed sensing of signals linked by sparse filtering. | Olivier Roy, Ali Hormati, Yue M. Lu, Martin Vetterli |
| 2009 | ICIP | Designing color filter arrays for the joint capture of visible and near-infrared images. | Yue M. Lu, Clment Fredembach, Martin Vetterli, Sabine Ssstrunk |
| 2008 | ICASSP | Assessing the challenges of environmental signal processing through the sensorscope project. | Guillermo Barrenetxea, Franois Ingelrest, Yue M. Lu, Martin Vetterli |
| 2007 | ICIP | Finding Optimal Integral Sampling Lattices for a given Frequency Support in Multidimensions. | Yue M. Lu, Minh N. Do |
| 2006 | ICIP | A New Contourlet Transform with Sharp Frequency Localization. | Yue M. Lu, Minh N. Do |
| 2005 | ICASSP | The finer directional wavelet transform [image processing applications]. | Yue M. Lu, Minh N. Do |
| 2004 | ICASSP | A geometrical approach to sampling signals with finite rate of innovation. | Yue M. Lu, Minh N. Do |