Simiao Ren

According to our database, Simiao Ren authored at least 26 papers between 2020 and 2026.

Collaborative distances:

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

2026

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment.

Kidus Zewde, Simiao Ren, Xingyu Shen, Jenny Wu, Yuchen Zhou, Tommy Duong, Zikang Zhang, Ethan Traister

CoRR, April, 2026

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents.

Jiaqi Wu, Yuchen Zhou, Dennis Tsang Ng, Xingyu Shen, Kidus Zewde, Ankit Raj, Tommy Duong, Simiao Ren

CoRR, April, 2026

Chinese Language Is Not More Efficient Than English in Vibe Coding: A Preliminary Study on Token Cost and Problem-Solving Rate.

Simiao Ren, Xingyu Shen, Yuchen Zhou, Dennis Ng, Ankit Raj

CoRR, April, 2026

A Synthetic Eye Movement Dataset for Script Reading Detection: Real Trajectory Replay on a 3D Simulator.

Kidus Zewde, Yuchen Zhou, Dennis Ng, Neo Tiangratanakul, Tommy Duong, Ankit Raj, Yuxin Zhang, Xingyu Shen, Simiao Ren

CoRR, April, 2026

GPT4o-Receipt: A Dataset and Human Study for AI-Generated Document Forensics.

Yan Zhang, Simiao Ren, Ankit Raj, En Wei, Dennis Ng, Alex Shen, Jiayu Xue, Yuxin Zhang, Evelyn Marotta

CoRR, March, 2026

DOCFORGE-BENCH: A Comprehensive 0-shot Benchmark for Document Forgery Detection and Analysis.

Zengqi Zhao, Weidi Xia, En Wei, Yan Zhang, Jane Mo, Tiannan Zhang, Yuanqin Dai, Zexi Chen, Yiran Tao, Simiao Ren

CoRR, March, 2026

AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents.

Jiaqi Wu, Yuchen Zhou, Muduo Xu, Zisheng Liang, Simiao Ren, Jiayu Xue, Meige Yang, Siying Chen, Jingheng Huan

CoRR, February, 2026

Can a Teenager Fool an AI? Evaluating Low-Cost Cosmetic Attacks on Age Estimation Systems.

Xingyu Shen, Tommy Duong, Xiaodong An, Zengqi Zhao, Zebang Hu, Haoyu Hu, Ziyou Wang, Finn Guo, Simiao Ren

CoRR, February, 2026

Out of the box age estimation through facial imagery: A Comprehensive Benchmark of Vision-Language Models vs. out-of-the-box Traditional Architectures.

Simiao Ren, Xingyu Shen, Ankit Raj, Albert Dai, Caroline Zhang, Yuan Xu, Zexi Chen, Siqi Wu, Chen Gong, Yuxin Zhang

CoRR, February, 2026

How well are open sourced AI-generated image detection models out-of-the-box: A comprehensive benchmark study.

Simiao Ren, Yuchen Zhou, Xingyu Shen, Kidus Zewde, Tommy Duong, George Huang, Hatsanai Tiangratanakul, Tsang Ng, En Wei, Jiayu Xue

CoRR, February, 2026

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, August, 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, March, 2025

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, February, 2025

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