Simiao Ren

According to our database, Simiao Ren authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Segment anything, from space?

Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Deep Learning for the modeling and design of artificial electromagnetic materials.

Simiao Ren

PhD thesis, 2023

Deep Active Learning for Scientific Computing in the Wild.

Simiao Ren, Yang Deng, Willie J. Padilla, Leslie M. Collins, Jordan M. Malof

CoRR, 2023

Drowning Detection based on YOLOv8 improved by GP-GAN Augmentation.

En Wei, Simiao Ren

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.

Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications.

Zachary D. Calhoun, Saad Lahrichi, Simiao Ren, Jordan M. Malof, Kyle Bradbury

Remote. Sens., 2022

Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning.

Simiao Ren, Jordan M. Malof, Rob Fetter, Robert H. Beach, James Rineer, Kyle Bradbury

ISPRS Int. J. Geo Inf., 2022

Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis.

Simiao Ren, Wei Hu, Kyle Bradbury, Dylan Harrison-Atlas, Laura Malaguzzi Valeri, Brian Murray, Jordan M. Malof

CoRR, 2022

Hyperparameter-free deep active learning for regression problems via query synthesis.

Simiao Ren, Yang Deng, Willie J. Padilla, Jordan M. Malof

CoRR, 2022

Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions.

Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Inverse deep learning methods and benchmarks for artificial electromagnetic material design.

Simiao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng, Willie J. Padilla, Jordan M. Malof

CoRR, 2021

Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials.

Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method.

Simiao Ren, Willie Padilla, Jordan M. Malof

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020