Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method. - Simiao Ren; Willie Padilla; Jordan M. Malof (NeurIPS, 2020)

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 (NeurIPS Datasets and Benchmarks, 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)

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 (ICLR, 2022)

Hyperparameter-free deep active learning for regression problems via query synthesis. - Simiao Ren; Yang Deng; Willie J. Padilla; Jordan M. Malof (CoRR, 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)

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)

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)

Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling. - Gregory P. Spell; Simiao Ren; Leslie M. Collins; Jordan M. Malof (AAAI, 2023)

Drowning Detection based on YOLOv8 improved by GP-GAN Augmentation. - En Wei; Simiao Ren (Tiny Papers @ ICLR, 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)

Deep Learning for the modeling and design of artificial electromagnetic materials. - Simiao Ren (2023)

Segment anything, from space? - Simiao Ren; Francesco Luzi; Saad Lahrichi; Kaleb Kassaw; Leslie M. Collins; Kyle Bradbury; Jordan M. Malof (WACV, 2024)

Do Deepfake Detectors Work in Reality? - Simiao Ren; Hengwei Xu; Tsang Ng; Kidus Zewde; Shengkai Jiang; Ramini Desai; Disha Patil; Ning-Yau Cheng; Yining Zhou; Ragavi Muthukrishnan (CoRR, 2025)

Can Multi-modal (reasoning) LLMs work as deepfake detectors? - Simiao Ren; Yao Yao; Kidus Zewde; Zisheng Liang; Tsang Ng; Ning-Yau Cheng; Xiaoou Zhan; Qinzhe Liu; Yifei Chen; Hengwei Xu (CoRR, 2025)

Can Multi-modal (reasoning) LLMs detect document manipulation? - Zisheng Liang; Kidus Zewde; Rudra Pratap Singh; Disha Patil; Zexi Chen; Jiayu Xue; Yao Yao; Yifei Chen; Qinzhe Liu; Simiao Ren (CoRR, 2025)