Matthew Li - RankMe

13 papers A* 1B 2C 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DiSCo: Diffusion Sequence Copilots for Shared Autonomy. HRI Andy Wang, Xu Yan, Brandon McMahan, Michael Zhou, Yuyang Yuan, Johannes Y. Lee, Ali Shreif, Matthew Li, Zhenghao Peng, Bolei Zhou, Yuchen Cui, Jonathan C. Kao
2026	J	`jnl`	DiSCo: Diffusion Sequence Copilots for Shared Autonomy. CoRR Andy Wang, Xu Yan, Brandon McMahan, Michael Zhou, Yuyang Yuan, Johannes Y. Lee, Ali Shreif, Matthew Li, Zhenghao Peng, Bolei Zhou, Yuchen Cui, Jonathan C. Kao
2025	J	`jnl`	SPADE-S: A Sparsity-Robust Foundational Forecaster. CoRR Malcolm Wolff, Matthew Li, Ravi Kiran Selvam, Hanjing Zhu, Kin G. Olivares, Ruijun Ma, Abhinav Katoch, Shankar Ramasubramanian, Mengfei Cao, Roberto Bandarra, Rahul Gopalsamy, Stefania La Vattiata, Sitan Yang, Michael M. Mahoney
2023	J	`jnl`	A Convolutional Neural Network for Beamforming and Image Reconstruction in Passive Cavitation Imaging. Sensors Hossein J. Sharahi, Christopher N. Acconcia, Matthew Li, Anne Martel, Kullervo Hynynen
2022	J	`jnl`	Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations. J. Comput. Inf. Sci. Eng. Matthew Li, Christopher McComb
2022	J	`jnl`	Wide-Band Butterfly Network: Stable and Efficient Inversion Via Multi-Frequency Neural Networks. Multiscale Model. Simul. Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
2021	J	`jnl`	Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime. CoRR Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
2021	J	`jnl`	Redatuming physical systems using symmetric autoencoders. CoRR Pawan Bharadwaj, Matthew Li, Laurent Demanet
2020	—	`conf`	Cluster Usage Policy Enforcement Using Slurm Plugins and an HTTP API. PEARC Matthew Li, Nicolas Chan, Viraat Chandra, Krishna Muriki
2020	J	`jnl`	Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks. CoRR Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
2014	C	`conf`	Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring. CIDM Julio J. Valdés, Catherine Cheung, Matthew Li
2012	B	`conf`	Towards conservative helicopter loads prediction using computational intelligence techniques. IJCNN Julio J. Valdés, Catherine Cheung, Matthew Li
2012	B	`conf`	Use of evolutionary computation techniques for exploration and prediction of helicopter loads. IEEE Congress on Evolutionary Computation Catherine Cheung, Julio J. Valdés, Matthew Li