Yuxin Wen

According to our database, Yuxin Wen authored at least 39 papers between 2017 and 2024.

Collaborative distances:

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

2024

Design and Analysis of a Cardioid Flow Tube Valveless Piezoelectric Pump for Medical Applications.

Jialong Wang, Fan Zhang, Zhenzhen Gui, Yuxin Wen, Yaohua Zeng, Tang Xie, Tian Tan, Bochuan Chen, Jianhui Zhang

Sensors, 2024

Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization.

Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu

CoRR, 2024

Coercing LLMs to do and reveal (almost) anything.

Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein

CoRR, 2024

Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

CoRR, 2024

2023

A deep learning approach for inpatient length of stay and mortality prediction.

Junde Chen, Trudi Di Qi, Jacqueline Vu, Yuxin Wen

J. Biomed. Informatics, November, 2023

Machine learning techniques for stock price prediction and graphic signal recognition.

Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Md Suzauddola, Weirong Chen, Defu Zhang

Eng. Appl. Artif. Intell., May, 2023

Multiscale Attention Networks for Pavement Defect Detection.

Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Defu Zhang, Adnan Zeb

IEEE Trans. Instrum. Meas., 2023

NEFTune: Noisy Embeddings Improve Instruction Finetuning.

Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein

CoRR, 2023

Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, Tom Goldstein

CoRR, 2023

Bring Your Own Data! Self-Supervised Evaluation for Large Language Models.

Neel Jain, Khalid Saifullah, Yuxin Wen, John Kirchenbauer, Manli Shu, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein

CoRR, 2023

On the Reliability of Watermarks for Large Language Models.

John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein

CoRR, 2023

Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust.

Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein

CoRR, 2023

Weakly-supervised learning method for the recognition of potato leaf diseases.

Junde Chen, Xiaofang Deng, Yuxin Wen, Weirong Chen, Adnan Zeb, Defu Zhang

Artif. Intell. Rev., 2023

Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images.

Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery.

Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Watermark for Large Language Models.

John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein

Proceedings of the International Conference on Machine Learning, 2023

Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries.

Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Seeing in Words: Learning to Classify through Language Bottlenecks.

Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein

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

Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models.

Liam H. Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojciech Czaja, Micah Goldblum, Tom Goldstein

Proceedings of the Eleventh International Conference on Learning Representations, 2023

STYX: Adaptive Poisoning Attacks Against Byzantine-Robust Defenses in Federated Learning.

Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Geometry-Aware Generation of Adversarial Point Clouds.

Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning.

Yuxin Wen, Jonas Geiping, Liam Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein

CoRR, 2022

Surface Reconstruction from Point Clouds: A Survey and a Benchmark.

Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, Kui Jia

CoRR, 2022

A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection.

Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Jianguo Wu, Yuxin Wen, Yirong Lin

Artif. Intell. Eng. Des. Anal. Manuf., 2022

Classifying Toe Walking Gait Patterns Among Children Diagnosed With Idiopathic Toe Walking Using Wearable Sensors and Machine Learning Algorithms.

Rahul Soangra, Yuxin Wen, Hualin Yang, Marybeth Grant-Beuttler

IEEE Access, 2022

MtCut: A Multi-Task Framework for Ranked List Truncation.

Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification.

Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein

Proceedings of the International Conference on Machine Learning, 2022

2021

A Neural Network-Based Joint Prognostic Model for Data Fusion and Remaining Useful Life Prediction.

Yuanyuan Gao, Yuxin Wen, Jianguo Wu

IEEE Trans. Neural Networks Learn. Syst., 2021

Orthogonal Deep Neural Networks.

Shuai Li, Kui Jia, Yuxin Wen, Tongliang Liu, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Machine Learning based Medical Image Deepfake Detection: A Comparative Study.

Siddharth Solaiyappan, Yuxin Wen

CoRR, 2021

Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds.

Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Optimized Priors for 3D Shape Modeling and Reconstruction.

Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty.

Yuxin Wen, Donna AlHakeem, Paras Mandal, Shantanu Chakraborty, Yuan-Kang Wu, Tomonobu Senjyu, Sumit Paudyal, Tzu-Liang Tseng

IEEE Trans. Neural Networks Learn. Syst., 2020

Towards Understanding the Regularization of Adversarial Robustness on Neural Networks.

Yuxin Wen, Shuai Li, Kui Jia

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Multiple-Change-Point Modeling and Exact Bayesian Inference of Degradation Signal for Prognostic Improvement.

Yuxin Wen, Jianguo Wu, Qiang Zhou, Tzu-Liang Tseng

IEEE Trans Autom. Sci. Eng., 2019

Geometry-aware Generation of Adversarial and Cooperative Point Clouds.

Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia

CoRR, 2019

Learning to Discover Curbside Parking Spaces from Vehicle Trajectories.

Yuxin Wen, Jizhou Huang, Chongli Zhu, Miao Fan, Ying Li

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity.

Yuxin Wen, Jianguo Wu, Devashish Das, Tzu-Liang (Bill) Tseng

Reliab. Eng. Syst. Saf., 2018

2017

Multiple-Phase Modeling of Degradation Signal for Condition Monitoring and Remaining Useful Life Prediction.

Yuxin Wen, Jianguo Wu, Yuan Yuan

IEEE Trans. Reliab., 2017