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2020 – today
- 2025
[j19]Junde Chen
, Yun Wang, Adnan Zeb, Md Suzauddola, Yuxin Wen:
Multimodal mixing convolutional neural network and transformer for Alzheimer's disease recognition. Expert Syst. Appl. 259: 125321 (2025)- 2024
- [j18]Trudi Di Qi, Franceli L. Cibrian, Meghna Raswan, Tyler Kay, Hector M. Camarillo-Abad, Yuxin Wen:
Toward Intuitive 3D Interactions in Virtual Reality: A Deep Learning- Based Dual-Hand Gesture Recognition Approach. IEEE Access 12: 67438-67452 (2024) - [j17]Junde Chen, Yuxin Wen, Michael Pokojovy, Tzu-Liang (Bill) Tseng, Peter McCaffrey, Alex Vo, Eric Walser, Scott Moen:
Multi-modal learning for inpatient length of stay prediction. Comput. Biol. Medicine 171: 108121 (2024) - [j16]Junde Chen, Qing Li, Feng Liu, Yuxin Wen:
M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality. Comput. Biol. Medicine 183: 109237 (2024) - [j15]Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, Kui Jia:
Surface Reconstruction From Point Clouds: A Survey and a Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9727-9748 (2024) - [j14]Jialong Wang, Fan Zhang, Zhenzhen Gui, Yuxin Wen, Yaohua Zeng, Tang Xie, Tian Tan, Bochuan Chen, Jianhui Zhang:
Design and Analysis of a Cardioid Flow Tube Valveless Piezoelectric Pump for Medical Applications. Sensors 24(1): 122 (2024) - [c17]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:
NEFTune: Noisy Embeddings Improve Instruction Finetuning. ICLR 2024 - [c16]John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein:
On the Reliability of Watermarks for Large Language Models. ICLR 2024 - [c15]Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu:
Detecting, Explaining, and Mitigating Memorization in Diffusion Models. ICLR 2024 - [c14]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
WAVES: Benchmarking the Robustness of Image Watermarks. ICML 2024 - [i27]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
Benchmarking the Robustness of Image Watermarks. CoRR abs/2401.08573 (2024) - [i26]Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein:
Coercing LLMs to do and reveal (almost) anything. CoRR abs/2402.14020 (2024) - [i25]Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu:
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR abs/2403.19866 (2024) - [i24]Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini:
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models. CoRR abs/2404.01231 (2024) - [i23]Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein:
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. CoRR abs/2406.10209 (2024) - [i22]Jiuhai Chen, Rifaa Qadri, Yuxin Wen, Neel Jain, John Kirchenbauer, Tianyi Zhou, Tom Goldstein:
GenQA: Generating Millions of Instructions from a Handful of Prompts. CoRR abs/2406.10323 (2024) - [i21]Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu:
Detecting, Explaining, and Mitigating Memorization in Diffusion Models. CoRR abs/2407.21720 (2024) - [i20]Yuxin Wen, Qingqing Cao, Qichen Fu, Sachin Mehta, Mahyar Najibi:
Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers. CoRR abs/2410.14072 (2024) - 2023
- [j13]Junde Chen, Xiaofang Deng, Yuxin Wen, Weirong Chen, Adnan Zeb, Defu Zhang:
Weakly-supervised learning method for the recognition of potato leaf diseases. Artif. Intell. Rev. 56(8): 7985-8002 (2023) - [j12]Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Md Suzauddola, Weirong Chen, Defu Zhang:
Machine learning techniques for stock price prediction and graphic signal recognition. Eng. Appl. Artif. Intell. 121: 106038 (2023) - [j11]Junde Chen, Trudi Di Qi, Jacqueline Vu, Yuxin Wen:
A deep learning approach for inpatient length of stay and mortality prediction. J. Biomed. Informatics 147: 104526 (2023) - [j10]Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Defu Zhang, Adnan Zeb:
Multiscale Attention Networks for Pavement Defect Detection. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c13]Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein:
STYX: Adaptive Poisoning Attacks Against Byzantine-Robust Defenses in Federated Learning. ICASSP 2023: 1-5 - [c12]Liam H. Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojciech Czaja, Micah Goldblum, Tom Goldstein:
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. ICLR 2023 - [c11]Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein:
Seeing in Words: Learning to Classify through Language Bottlenecks. Tiny Papers @ ICLR 2023 - [c10]Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein:
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries. ICLR 2023 - [c9]John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein:
A Watermark for Large Language Models. ICML 2023: 17061-17084 - [c8]Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein:
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery. NeurIPS 2023 - [c7]Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein:
Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images. NeurIPS 2023 - [i19]John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein:
A Watermark for Large Language Models. CoRR abs/2301.10226 (2023) - [i18]Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein:
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery. CoRR abs/2302.03668 (2023) - [i17]Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein:
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust. CoRR abs/2305.20030 (2023) - [i16]John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein:
On the Reliability of Watermarks for Large Language Models. CoRR abs/2306.04634 (2023) - [i15]Neel Jain, Khalid Saifullah, Yuxin Wen, John Kirchenbauer, Manli Shu, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein:
Bring Your Own Data! Self-Supervised Evaluation for Large Language Models. CoRR abs/2306.13651 (2023) - [i14]Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein:
Seeing in Words: Learning to Classify through Language Bottlenecks. CoRR abs/2307.00028 (2023) - [i13]Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, Tom Goldstein:
Baseline Defenses for Adversarial Attacks Against Aligned Language Models. CoRR abs/2309.00614 (2023) - [i12]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:
NEFTune: Noisy Embeddings Improve Instruction Finetuning. CoRR abs/2310.05914 (2023) - 2022
- [j9]Rahul Soangra, Yuxin Wen, Hualin Yang, Marybeth Grant-Beuttler:
Classifying Toe Walking Gait Patterns Among Children Diagnosed With Idiopathic Toe Walking Using Wearable Sensors and Machine Learning Algorithms. IEEE Access 10: 77054-77067 (2022) - [j8]Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Jianguo Wu, Yuxin Wen, Yirong Lin:
A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection. Artif. Intell. Eng. Des. Anal. Manuf. 36: e15 (2022) - [j7]Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia:
Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2984-2999 (2022) - [c6]Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein:
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. ICML 2022: 23668-23684 - [c5]Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao:
MtCut: A Multi-Task Framework for Ranked List Truncation. WSDM 2022: 1054-1062 - [i11]Liam Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojtek Czaja, Micah Goldblum, Tom Goldstein:
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. CoRR abs/2201.12675 (2022) - [i10]Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein:
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. CoRR abs/2202.00580 (2022) - [i9]Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, Kui Jia:
Surface Reconstruction from Point Clouds: A Survey and a Benchmark. CoRR abs/2205.02413 (2022) - [i8]Yuxin Wen, Jonas Geiping, Liam Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein:
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning. CoRR abs/2210.09305 (2022) - [i7]Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein:
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries. CoRR abs/2210.10750 (2022) - 2021
- [j6]Shuai Li, Kui Jia, Yuxin Wen, Tongliang Liu, Dacheng Tao:
Orthogonal Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1352-1368 (2021) - [j5]Yuanyuan Gao, Yuxin Wen, Jianguo Wu:
A Neural Network-Based Joint Prognostic Model for Data Fusion and Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(1): 117-127 (2021) - [c4]Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia:
Deep Optimized Priors for 3D Shape Modeling and Reconstruction. CVPR 2021: 3269-3278 - [c3]Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia:
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds. CVPR 2021: 10256-10265 - [i6]Siddharth Solaiyappan, Yuxin Wen:
Machine Learning based Medical Image Deepfake Detection: A Comparative Study. CoRR abs/2109.12800 (2021) - 2020
- [j4]Yuxin Wen, Donna AlHakeem, Paras Mandal, Shantanu Chakraborty, Yuan-Kang Wu, Tomonobu Senjyu, Sumit Paudyal, Tzu-Liang Tseng:
Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1134-1144 (2020) - [c2]Yuxin Wen, Shuai Li, Kui Jia:
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. ICML 2020: 10225-10235 - [i5]Yuxin Wen, Shuai Li, Kui Jia:
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. CoRR abs/2011.07478 (2020) - [i4]Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia:
Deep Optimized Priors for 3D Shape Modeling and Reconstruction. CoRR abs/2012.07241 (2020) - [i3]Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia:
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds. CoRR abs/2012.07498 (2020)
2010 – 2019
- 2019
- [j3]Yuxin Wen, Jianguo Wu, Qiang Zhou, Tzu-Liang Tseng:
Multiple-Change-Point Modeling and Exact Bayesian Inference of Degradation Signal for Prognostic Improvement. IEEE Trans Autom. Sci. Eng. 16(2): 613-628 (2019) - [c1]Yuxin Wen, Jizhou Huang, Chongli Zhu, Miao Fan, Ying Li:
Learning to Discover Curbside Parking Spaces from Vehicle Trajectories. IEEE BigData 2019: 1537-1546 - [i2]Kui Jia, Shuai Li, Yuxin Wen, Tongliang Liu, Dacheng Tao:
Orthogonal Deep Neural Networks. CoRR abs/1905.05929 (2019) - [i1]Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia:
Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR abs/1912.11171 (2019) - 2018
- [j2]Yuxin Wen, Jianguo Wu, Devashish Das, Tzu-Liang (Bill) Tseng:
Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity. Reliab. Eng. Syst. Saf. 176: 113-124 (2018) - 2017
- [j1]Yuxin Wen, Jianguo Wu, Yuan Yuan:
Multiple-Phase Modeling of Degradation Signal for Condition Monitoring and Remaining Useful Life Prediction. IEEE Trans. Reliab. 66(3): 924-938 (2017)
Coauthor Index
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