Yuxin Wen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence. | Haolin Liu, Xiaohang Zhan, Zizheng Yan, Zhongjin Luo, Yuxin Wen, Xiaoguang Han |
| 2025 | PAKDD | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Detecting, Explaining, and Mitigating Memorization in Diffusion Models. | Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu |
| 2024 | ICML | WAVES: 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 |
| 2024 | SC | Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. | 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 |
| 2023 | ICASSP | STYX: Adaptive Poisoning Attacks Against Byzantine-Robust Defenses in Federated Learning. | Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Seeing in Words: Learning to Classify through Language Bottlenecks. | Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein |
| 2023 | ICLR | 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 |
| 2023 | ICML | A Watermark for Large Language Models. | John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein |
| 2022 | ICML | Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. | Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein |
| 2022 | WSDM | MtCut: A Multi-Task Framework for Ranked List Truncation. | Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao |
| 2021 | CVPR | Deep Optimized Priors for 3D Shape Modeling and Reconstruction. | Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia |
| 2021 | CVPR | 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 |
| 2020 | ICML | Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. | Yuxin Wen, Shuai Li, Kui Jia |