Yuxin Wen - RankMe

84 papers A* 16A 2Misc 1Journal 61Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Log-Likelihood Chain Framework for Defending Against LDP Data Poisoning Attacks. IEEE Trans. Knowl. Data Eng. Xiaoguang Li, Yuxin Wen, Yuchen Wang, Haonan Yan, Yahong Chen, Zhe Sun, Hui Li, Xiaodong Lin
2026	J	`jnl`	KEPO: Knowledge-Enhanced Preference Optimization for Reinforcement Learning with Reasoning. CoRR Fan Yang, Rui Meng, Trudi Di Qi, Ali Ezzati, Yuxin Wen
2026	J	`jnl`	Reliable and Responsible Foundation Models: A Comprehensive Survey. CoRR Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2025	—	`conf`	A Critical Value-based Early Warning Algorithm for Systematic Personal Risk in Power Supply Companies. BDICN Chen Li, Yuxin Wen, Siming He, Zhiyu Mao, Min Xu, Tong Liu
2025	J	`jnl`	A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition. CoRR John Kirchenbauer, Janny Mongkolsupawan, Yuxin Wen, Tom Goldstein, Daphne Ippolito
2025	J	`jnl`	Analysis of Attention in Video Diffusion Transformers. CoRR Yuxin Wen, Jim Wu, Ajay Jain, Tom Goldstein, Ashwinee Panda
2025	J	`jnl`	Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. CoRR Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele
2025	J	`jnl`	Inpatient Length of Stay and Mortality Prediction Utilizing Clinical Time Series Data. IEEE Access Junde Chen, Mason Li, Miles Milosevich, Tiffany Le, Andrew Bahsoun, Yuxin Wen
2025	J	`jnl`	Joint modeling of degradation signals and time-to-event data for the prediction of remaining useful life. Qual. Reliab. Eng. Int. Sebastian Brumm, Erik Linstead, Junde Chen, Narayanaswamy Balakrishnan, Yuxin Wen
2025	—	`conf`	MTGlu: A Multi-scale Time-Frequency Approach for Personalized Glucose Prediction in Type 1 Diabetes. PAKDD (2) Lantian Fu, Ying Li, Xuxue Sun, Zhenning Bao, Yuxin Wen, Yuanyuan Zhang
2025	J	`jnl`	Multimodal mixing convolutional neural network and transformer for Alzheimer's disease recognition. Expert Syst. Appl. Junde Chen, Yun Wang, Adnan Zeb, Md Suzauddola, Yuxin Wen
2025	J	`jnl`	Privacy-enhanced data distillation with probability distribution matching. Neurocomputing Ke Pan, Yuxin Wen, Yiming Wang, Maoguo Gong, Hui Li, Shanfeng Wang
2025	J	`jnl`	Quantifying Cross-Modality Memorization in Vision-Language Models. CoRR Yuxin Wen, Yangsibo Huang, Tom Goldstein, Ravi Kumar, Badih Ghazi, Chiyuan Zhang
2025	J	`jnl`	RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection. CoRR Yuxin Wen, Arman Zharmagambetov, Ivan Evtimov, Narine Kokhlikyan, Tom Goldstein, Kamalika Chaudhuri, Chuan Guo
2025	J	`jnl`	Reliable and Responsible Foundation Models. Trans. Mach. Learn. Res. Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2025	J	`jnl`	Software Defect Prediction Based on Semantic Views of Metrics: Clustering Analysis and Model Performance Analysis. Comput. Mater. Continua Baishun Zhou, Haijiao Zhao, Yuxin Wen, Gangyi Ding, Ying Xing, Xinyang Lin, Lei Xiao
2025	A*	`conf`	Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence. CVPR Haolin Liu, Xiaohang Zhan, Zizheng Yan, Zhongjin Luo, Yuxin Wen, Xiaoguang Han
2025	J	`jnl`	Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence. CoRR Haolin Liu, Xiaohang Zhan, Zizheng Yan, Zhongjin Luo, Yuxin Wen, Xiaoguang Han
2024	A*	`conf`	Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. NeurIPS Abhimanyu Hans, John Kirchenbauer, Yuxin Wen, Neel Jain, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein
2024	J	`jnl`	Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. CoRR Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein
2024	J	`jnl`	Benchmarking the Robustness of Image Watermarks. CoRR Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
2024	J	`jnl`	Coercing LLMs to do and reveal (almost) anything. CoRR Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein
2024	A	`conf`	Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. SC Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele
2024	J	`jnl`	Design and Analysis of a Cardioid Flow Tube Valveless Piezoelectric Pump for Medical Applications. Sensors Jialong Wang, Fan Zhang, Zhenzhen Gui, Yuxin Wen, Yaohua Zeng, Tang Xie, Tian Tan, Bochuan Chen, Jianhui Zhang
2024	A*	`conf`	Detecting, Explaining, and Mitigating Memorization in Diffusion Models. ICLR Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
2024	J	`jnl`	Detecting, Explaining, and Mitigating Memorization in Diffusion Models. CoRR Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
2024	J	`jnl`	EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM. CoRR Quang Nguyen, Truong Vu, Trong-Tung Nguyen, Yuxin Wen, Preston K. Robinette, Taylor T. Johnson, Tom Goldstein, Anh Tran, Khoi Nguyen
2024	J	`jnl`	Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers. CoRR Yuxin Wen, Qingqing Cao, Qichen Fu, Sachin Mehta, Mahyar Najibi
2024	J	`jnl`	GenQA: Generating Millions of Instructions from a Handful of Prompts. CoRR Jiuhai Chen, Rifaa Qadri, Yuxin Wen, Neel Jain, John Kirchenbauer, Tianyi Zhou, Tom Goldstein
2024	J	`jnl`	Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
2024	J	`jnl`	M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality. Comput. Biol. Medicine Junde Chen, Qing Li, Feng Liu, Yuxin Wen
2024	J	`jnl`	Multi-modal learning for inpatient length of stay prediction. Comput. Biol. Medicine Junde Chen, Yuxin Wen, Michael Pokojovy, Tzu-Liang (Bill) Tseng, Peter McCaffrey, Alex Vo, Eric Walser, Scott Moen
2024	A*	`conf`	NEFTune: Noisy Embeddings Improve Instruction Finetuning. ICLR 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
2024	A*	`conf`	On the Reliability of Watermarks for Large Language Models. ICLR John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein
2024	A*	`conf`	Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models. NeurIPS Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini
2024	J	`jnl`	Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models. CoRR Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini
2024	J	`jnl`	Surface Reconstruction From Point Clouds: A Survey and a Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, Kui Jia
2024	J	`jnl`	Toward Intuitive 3D Interactions in Virtual Reality: A Deep Learning- Based Dual-Hand Gesture Recognition Approach. IEEE Access Trudi Di Qi, Franceli L. Cibrian, Meghna Raswan, Tyler Kay, Hector M. Camarillo-Abad, Yuxin Wen
2024	A*	`conf`	WAVES: Benchmarking the Robustness of Image Watermarks. ICML Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
2023	A*	`conf`	A Watermark for Large Language Models. ICML John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein
2023	J	`jnl`	A Watermark for Large Language Models. CoRR John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein
2023	J	`jnl`	A deep learning approach for inpatient length of stay and mortality prediction. J. Biomed. Informatics Junde Chen, Trudi Di Qi, Jacqueline Vu, Yuxin Wen
2023	J	`jnl`	Baseline Defenses for Adversarial Attacks Against Aligned Language Models. CoRR Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-Yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, Tom Goldstein
2023	J	`jnl`	Bring Your Own Data! Self-Supervised Evaluation for Large Language Models. CoRR Neel Jain, Khalid Saifullah, Yuxin Wen, John Kirchenbauer, Manli Shu, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein
2023	A*	`conf`	Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries. ICLR Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein
2023	A*	`conf`	Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. ICLR Liam H. Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojciech Czaja, Micah Goldblum, Tom Goldstein
2023	A*	`conf`	Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery. NeurIPS Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
2023	J	`jnl`	Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery. CoRR Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
2023	J	`jnl`	Machine learning techniques for stock price prediction and graphic signal recognition. Eng. Appl. Artif. Intell. Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Md Suzauddola, Weirong Chen, Defu Zhang
2023	J	`jnl`	Multiscale Attention Networks for Pavement Defect Detection. IEEE Trans. Instrum. Meas. Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Defu Zhang, Adnan Zeb
2023	J	`jnl`	NEFTune: Noisy Embeddings Improve Instruction Finetuning. CoRR 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
2023	J	`jnl`	On the Reliability of Watermarks for Large Language Models. CoRR John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein
2023	Misc	`conf`	STYX: Adaptive Poisoning Attacks Against Byzantine-Robust Defenses in Federated Learning. ICASSP Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein
2023	—	`conf`	Seeing in Words: Learning to Classify through Language Bottlenecks. Tiny Papers @ ICLR Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein
2023	J	`jnl`	Seeing in Words: Learning to Classify through Language Bottlenecks. CoRR Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein
2023	J	`jnl`	Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust. CoRR Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein
2023	A*	`conf`	Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images. NeurIPS Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein
2023	J	`jnl`	Weakly-supervised learning method for the recognition of potato leaf diseases. Artif. Intell. Rev. Junde Chen, Xiaofang Deng, Yuxin Wen, Weirong Chen, Adnan Zeb, Defu Zhang
2022	J	`jnl`	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. Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Jianguo Wu, Yuxin Wen, Yirong Lin
2022	J	`jnl`	Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries. CoRR Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein
2022	J	`jnl`	Classifying Toe Walking Gait Patterns Among Children Diagnosed With Idiopathic Toe Walking Using Wearable Sensors and Machine Learning Algorithms. IEEE Access Rahul Soangra, Yuxin Wen, Hualin Yang, Marybeth Grant-Beuttler
2022	J	`jnl`	Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. CoRR Liam Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojtek Czaja, Micah Goldblum, Tom Goldstein
2022	A*	`conf`	Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. ICML Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. CoRR Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia
2022	A	`conf`	MtCut: A Multi-Task Framework for Ranked List Truncation. WSDM Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao
2022	J	`jnl`	Surface Reconstruction from Point Clouds: A Survey and a Benchmark. CoRR Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, Kui Jia
2022	J	`jnl`	Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning. CoRR Yuxin Wen, Jonas Geiping, Liam Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein
2021	J	`jnl`	A Neural Network-Based Joint Prognostic Model for Data Fusion and Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. Yuanyuan Gao, Yuxin Wen, Jianguo Wu
2021	A*	`conf`	Deep Optimized Priors for 3D Shape Modeling and Reconstruction. CVPR Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia
2021	J	`jnl`	Machine Learning based Medical Image Deepfake Detection: A Comparative Study. CoRR Siddharth Solaiyappan, Yuxin Wen
2021	J	`jnl`	Orthogonal Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Shuai Li, Kui Jia, Yuxin Wen, Tongliang Liu, Dacheng Tao
2021	A*	`conf`	Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds. CVPR Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia
2020	J	`jnl`	Deep Optimized Priors for 3D Shape Modeling and Reconstruction. CoRR Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia
2020	J	`jnl`	Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty. IEEE Trans. Neural Networks Learn. Syst. Yuxin Wen, Donna AlHakeem, Paras Mandal, Shantanu Chakraborty, Yuan-Kang Wu, Tomonobu Senjyu, Sumit Paudyal, Tzu-Liang Tseng
2020	J	`jnl`	Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds. CoRR Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia
2020	A*	`conf`	Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. ICML Yuxin Wen, Shuai Li, Kui Jia
2020	J	`jnl`	Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. CoRR Yuxin Wen, Shuai Li, Kui Jia
2019	J	`jnl`	Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia
2019	—	`conf`	Learning to Discover Curbside Parking Spaces from Vehicle Trajectories. IEEE BigData Yuxin Wen, Jizhou Huang, Chongli Zhu, Miao Fan, Ying Li
2019	J	`jnl`	Multiple-Change-Point Modeling and Exact Bayesian Inference of Degradation Signal for Prognostic Improvement. IEEE Trans Autom. Sci. Eng. Yuxin Wen, Jianguo Wu, Qiang Zhou, Tzu-Liang Tseng
2019	J	`jnl`	Orthogonal Deep Neural Networks. CoRR Kui Jia, Shuai Li, Yuxin Wen, Tongliang Liu, Dacheng Tao
2018	J	`jnl`	Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity. Reliab. Eng. Syst. Saf. Yuxin Wen, Jianguo Wu, Devashish Das, Tzu-Liang (Bill) Tseng
2017	J	`jnl`	Multiple-Phase Modeling of Degradation Signal for Condition Monitoring and Remaining Useful Life Prediction. IEEE Trans. Reliab. Yuxin Wen, Jianguo Wu, Yuan Yuan