Jie Ren

Anhui University of Science and Technology — China

Computer Science · Physical Sciences

16h-index1.8kcitations109works1.42yr avg
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Research Topics

Topic Modeling(22), Adversarial Robustness in Machine Learning(20), Natural Language Processing Techniques(16), Anomaly Detection Techniques and Applications(12), Domain Adaptation and Few-Shot Learning(11)

Publications109 total

Research on the Method of Accurately Measuring the Angular Speed of Rotating Machinery based on Angular Point Transformation
2025
FlashDP: Private Training Large Language Models with Efficient DP-SGD
arXiv (Cornell University)·2025Open Access
Stability and trajectory tracking of four- wheel steering trackless auxiliary transport robot via PID control
Frontiers in Robotics and AI·2025· 1 citedOpen Access
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models
2025
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
ACM SIGKDD Explorations Newsletter·2025· 3 cited
Prediction of Radio Wave Propagation on Complex Terrains Using Deep Learning Models
2024
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models
arXiv (Cornell University)·2024Open Access
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
arXiv (Cornell University)·2024Open Access
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations
arXiv (Cornell University)·2024Open Access
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
arXiv (Cornell University)·2024Open Access
Interpretability of Neural Networks Based on Game-theoretic Interactions
Machine Intelligence Research·2024· 5 cited
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer
2024· 3 cited
Exploring Memorization in Fine-tuned Language Models
2024· 7 citedOpen Access
Identifying Semantic Induction Heads to Understand In-Context Learning
2024· 1 citedOpen Access
Self-Evaluation Improves Selective Generation in Large Language Models
arXiv (Cornell University)·2023· 2 citedOpen Access
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
arXiv (Cornell University)·2023· 3 citedOpen Access
Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering
arXiv (Cornell University)·2023· 18 citedOpen Access
Morse Neural Networks for Uncertainty Quantification
arXiv (Cornell University)·2023· 3 citedOpen Access
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 38 citedOpen Access
The Bayesian regularized quantile varying coefficient model
Computational Statistics & Data Analysis·2023· 7 citedOpen Access
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Frequent Co-authors

Balaji Lakshminarayanan(14), Quanshi Zhang(8), Jasper Snoek(7), Zachary Nado(6), Michael W. Dusenberry(5), Jiliang Tang(5), Jeremiah Zhe Liu(4), Shreyas Padhy(4), Dustin Tran(4), Emily Fertig(3), D. Sculley(3), Joshua V. Dillon(3), Zelda Mariet(3), Neil Band(3), Tim G. J. Rudner(3), Rodolphe Jenatton(3), Yarin Gal(3), Yuxuan Wan(3), Yaniv Ovadia(2), Sebastian Nowozin(2)