Multiple-Phase Modeling of Degradation Signal for Condition Monitoring and Remaining Useful Life Prediction. - Yuxin Wen; Jianguo Wu; Yuan Yuan 037 (IEEE Trans. Reliab., 2017)

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)

Learning to Discover Curbside Parking Spaces from Vehicle Trajectories. - Yuxin Wen; Jizhou Huang; Chongli Zhu; Miao Fan; Ying Li (IEEE BigData, 2019)

Geometry-aware Generation of Adversarial and Cooperative Point Clouds. - Yuxin Wen; Jiehong Lin; Ke Chen 004; Kui Jia (CoRR, 2019)

Multiple-Change-Point Modeling and Exact Bayesian Inference of Degradation Signal for Prognostic Improvement. - Yuxin Wen; Jianguo Wu; Qiang Zhou 002; Tzu-Liang Tseng (IEEE Trans Autom. Sci. Eng., 2019)

Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. - Yuxin Wen; Shuai Li; Kui Jia (ICML, 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)

Deep Optimized Priors for 3D Shape Modeling and Reconstruction. - Mingyue Yang; Yuxin Wen; Weikai Chen 001; Yongwei Chen; Kui Jia (CVPR, 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 001; Kui Jia (CVPR, 2021)

Machine Learning based Medical Image Deepfake Detection: A Comparative Study. - Siddharth Solaiyappan; Yuxin Wen (CoRR, 2021)

Orthogonal Deep Neural Networks. - Shuai Li; Kui Jia; Yuxin Wen; Tongliang Liu; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. - Yuxin Wen; Jonas Geiping; Liam Fowl; Micah Goldblum; Tom Goldstein (ICML, 2022)

MtCut: A Multi-Task Framework for Ranked List Truncation. - Dong Wang; Jianxin Li 002; Tianchen Zhu; Haoyi Zhou; Qishan Zhu; Yuxin Wen; Hongming Piao (WSDM, 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)

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)

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)

Geometry-Aware Generation of Adversarial Point Clouds. - Yuxin Wen; Jiehong Lin; Ke Chen 004; C. L. Philip Chen; Kui Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

STYX: Adaptive Poisoning Attacks Against Byzantine-Robust Defenses in Federated Learning. - Yuxin Wen; Jonas Geiping; Micah Goldblum; Tom Goldstein (ICASSP, 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 (ICLR, 2023)

Seeing in Words: Learning to Classify through Language Bottlenecks. - Khalid Saifullah; Yuxin Wen; Jonas Geiping; Micah Goldblum; Tom Goldstein (Tiny Papers @ ICLR, 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 (ICLR, 2023)

A Watermark for Large Language Models. - John Kirchenbauer; Jonas Geiping; Yuxin Wen; Jonathan Katz; Ian Miers; Tom Goldstein (ICML, 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 (NeurIPS, 2023)

Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images. - Yuxin Wen; John Kirchenbauer; Jonas Geiping; Tom Goldstein (NeurIPS, 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-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust. - Yuxin Wen; John Kirchenbauer; 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)

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)

Multiscale Attention Networks for Pavement Defect Detection. - Junde Chen; Yuxin Wen; Yaser Ahangari Nanehkaran; Defu Zhang; Adnan Zeb (IEEE Trans. Instrum. Meas., 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., 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, 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; et al. (ICLR, 2024)

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 (ICLR, 2024)

Detecting, Explaining, and Mitigating Memorization in Diffusion Models. - Yuxin Wen; Yuchen Liu; Chen Chen 043; Lingjuan Lyu (ICLR, 2024)

WAVES: Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (ICML, 2024)

Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. - Abhimanyu Hans; John Kirchenbauer; Yuxin Wen; Neel Jain; Hamid Kazemi; Prajwal Singhania; Siddharth Singh; Gowthami Somepalli; Jonas Geiping; Abhinav Bhatele; Tom Goldstein (NeurIPS, 2024)

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models. - Yuxin Wen; Leo Marchyok; Sanghyun Hong 001; Jonas Geiping; Tom Goldstein; Nicholas Carlini (NeurIPS, 2024)

Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. - Siddharth Singh; Prajwal Singhania; Aditya Ranjan; John Kirchenbauer; Jonas Geiping; Yuxin Wen; Neel Jain; Abhimanyu Hans; Manli Shu; Aditya Tomar; Tom Goldstein; Abhinav Bhatele (SC, 2024)

Toward Intuitive 3D Interactions in Virtual Reality: A Deep Learning- Based Dual-Hand Gesture Recognition Approach. - Trudi Di Qi; Franceli L. Cibrian; Meghna Raswan; Tyler Kay; Hector M. Camarillo-Abad; Yuxin Wen (IEEE Access, 2024)

M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality. - Junde Chen; Qing Li 069; Feng Liu 011; Yuxin Wen (Comput. Biol. Medicine, 2024)

Multi-modal learning for inpatient length of stay prediction. - Junde Chen; Yuxin Wen; Michael Pokojovy; Tzu-Liang (Bill) Tseng; Peter McCaffrey; Alex Vo; Eric Walser; Scott Moen (Comput. Biol. Medicine, 2024)

Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (CoRR, 2024)

Coercing LLMs to do and reveal (almost) anything. - Jonas Geiping; Alex Stein; Manli Shu; Khalid Saifullah; Yuxin Wen; Tom Goldstein (CoRR, 2024)

Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. - Yuhang Li 001; Xin Dong 009; Chen Chen 043; Jingtao Li; Yuxin Wen; Michael Spranger; Lingjuan Lyu (CoRR, 2024)

GenQA: Generating Millions of Instructions from a Handful of Prompts. - Jiuhai Chen; Rifaa Qadri; Yuxin Wen; Neel Jain; John Kirchenbauer; Tianyi Zhou 001; Tom Goldstein (CoRR, 2024)

Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers. - Yuxin Wen; Qingqing Cao; Qichen Fu; Sachin Mehta; Mahyar Najibi (CoRR, 2024)

EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM. - Quang Nguyen; Truong Vu; Trong-Tung Nguyen; Yuxin Wen; Preston K. Robinette; Taylor T. Johnson; Tom Goldstein; Anh Tran 001; Khoi Nguyen 001 (CoRR, 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 020; Bochuan Chen; Jianhui Zhang (Sensors, 2024)

Surface Reconstruction From Point Clouds: A Survey and a Benchmark. - Zhangjin Huang; Yuxin Wen; Zihao Wang; Jinjuan Ren; Kui Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence. - Haolin Liu; Xiaohang Zhan; Zizheng Yan; Zhongjin Luo; Yuxin Wen; Xiaoguang Han 001 (CVPR, 2025)

MTGlu: A Multi-scale Time-Frequency Approach for Personalized Glucose Prediction in Type 1 Diabetes. - Lantian Fu; Ying Li; Xuxue Sun; Zhenning Bao; Yuxin Wen; Yuanyuan Zhang (PAKDD (2), 2025)

Inpatient Length of Stay and Mortality Prediction Utilizing Clinical Time Series Data. - Junde Chen; Mason Li; Miles Milosevich; Tiffany Le; Andrew Bahsoun; Yuxin Wen (IEEE Access, 2025)

Multimodal mixing convolutional neural network and transformer for Alzheimer's disease recognition. - Junde Chen; Yun Wang; Adnan Zeb; Md Suzauddola; Yuxin Wen (Expert Syst. Appl., 2025)

Privacy-enhanced data distillation with probability distribution matching. - Ke Pan; Yuxin Wen; Yiming Wang; Maoguo Gong; Hui Li 006; Shanfeng Wang (Neurocomputing, 2025)

Joint modeling of degradation signals and time-to-event data for the prediction of remaining useful life. - Sebastian Brumm; Erik Linstead; Junde Chen; Narayanaswamy Balakrishnan; Yuxin Wen (Qual. Reliab. Eng. Int., 2025)

Analysis of Attention in Video Diffusion Transformers. - Yuxin Wen; Jim Wu; Ajay Jain; Tom Goldstein; Ashwinee Panda (CoRR, 2025)

Quantifying Cross-Modality Memorization in Vision-Language Models. - Yuxin Wen; Yangsibo Huang; Tom Goldstein; Ravi Kumar 001; Badih Ghazi; Chiyuan Zhang (CoRR, 2025)

A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition. - John Kirchenbauer; Janny Mongkolsupawan; Yuxin Wen; Tom Goldstein; Daphne Ippolito (CoRR, 2025)