Simiao Ren

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Remotely Sensed

Geospatial Data

Auto Associative

Trained Neural Network

Top Venues

Tiny Papers @ ICLR

Publications

Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Segment anything, from space? WACV (2024)
Simiao Ren, Yang Deng, Willie J. Padilla, Leslie M. Collins, Jordan M. Malof
Deep Active Learning for Scientific Computing in the Wild. CoRR (2023)
Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof
Segment anything, from space? CoRR (2023)
En Wei, Simiao Ren
Drowning Detection based on YOLOv8 improved by GP-GAN Augmentation. Tiny Papers @ ICLR (2023)
Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. AAAI (2023)
Simiao Ren, Yang Deng, Willie J. Padilla, Jordan M. Malof
Hyperparameter-free deep active learning for regression problems via query synthesis. CoRR (2022)
Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. CoRR (2022)
Zachary D. Calhoun, Saad Lahrichi, Simiao Ren, Jordan M. Malof, Kyle Bradbury
Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications. Remote. Sens. 14 (21) (2022)
Simiao Ren, Jordan M. Malof, Rob Fetter, Robert H. Beach, James Rineer, Kyle Bradbury
Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning. ISPRS Int. J. Geo Inf. 11 (4) (2022)
Simiao Ren, Wei Hu, Kyle Bradbury, Dylan Harrison-Atlas, Laura Malaguzzi Valeri, Brian Murray, Jordan M. Malof
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis. CoRR (2022)
Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. ICLR (2022)
Yang Deng, Juncheng Dong, Simiao Ren, Omar Khatib, Mohammadreza Soltani, Vahid Tarokh, Willie Padilla, Jordan M. Malof
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials. NeurIPS Datasets and Benchmarks (2021)
Simiao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng, Willie J. Padilla, Jordan M. Malof
Inverse deep learning methods and benchmarks for artificial electromagnetic material design. CoRR (2021)
Juncheng Dong, Simiao Ren, Yang Deng, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions. CoRR (2021)
Simiao Ren, Willie Padilla, Jordan M. Malof
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method. NeurIPS (2020)
Simiao Ren, Willie Padilla, Jordan M. Malof
Benchmarking deep inverse models over time, and the neural-adjoint method. CoRR (2020)