Yue Xing

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

Image Reconstruction

Diffusion Models

Nearest Neighbor

Top Venues

Publications

Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. CoRR (2024)
Rongbin Li, Qianqian Li, Zhixi Zhang, Rulin Zhang, Yue Xing, Doudou Han
Effect of Al Content on Microstructure and Properties of AlxCr0.2NbTiV Refractory High-Entropy Alloys. Entropy 26 (6) (2024)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR (2024)
Jingyu Zhong, Lingyun Wang, Chao Yan, Yue Xing, Yangfan Hu, Defang Ding, Xiang Ge, Jianying Li, Wei Lu, Xiaomeng Shi, Fei Yuan, Weiwu Yao, Huan Zhang
Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT. BMC Medical Imaging 24 (1) (2024)
Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR (2024)
Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
Exploring Memorization in Fine-tuned Language Models. ACL (1) (2024)
Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations. CoRR (2024)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR (2024)
Yingqian Cui, Jie Ren, Pengfei He, Jiliang Tang, Yue Xing
Superiority of Multi-Head Attention in In-Context Linear Regression. CoRR (2024)
Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR (2024)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) (2024)
Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
Data Poisoning for In-context Learning. CoRR (2024)
Yue Xing, Lihong Si, Yuru Wang, Wanting Zhang, Xia Ling, Xu Yang
Altered Functional Connectivity of the Multisensory Vestibular Cortex in Patients with Chronic Unilateral Vestibulopathy. Brain Connect. 14 (4) (2024)
Jingyu Zhong, Hailin Shen, Yong Chen, Yihan Xia, Xiaomeng Shi, Wei Lu, Jianying Li, Yue Xing, Yangfan Hu, Xiang Ge, Defang Ding, Zhenming Jiang, Weiwu Yao
Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT. J. Digit. Imaging 36 (4) (2023)
Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. CoRR (2023)
Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
Confidence-driven Sampling for Backdoor Attacks. CoRR (2023)
Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
Exploring Memorization in Fine-tuned Language Models. CoRR (2023)
Yuelong Li, Yue Xing, Zhiwei Wang, Tengfei Xiao, Qingzeng Song, Weiwei Li, Jianming Wang
A Framework of Maximum Feature Exploration Oriented Remote Sensing Object Detection. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Yue Xing
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study. CoRR (2023)
Yue Xing, Qifan Song, Guang Cheng
Phase Transition from Clean Training to Adversarial Training. NeurIPS (2022)
Yue Xing, Huaixi Lu, Aarti Gupta, Sharad Malik
Compositional Verification Using a Formal Component and Interface Specification. ICCAD (2022)
Yue Xing, Qifan Song, Guang Cheng
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness. AISTATS (2022)
Yue Xing, Aarti Gupta, Sharad Malik
Generalizing Tandem Simulation: Connecting High-level and RTL Simulation Models. ASP-DAC (2022)
Yue Xing, Qifan Song, Guang Cheng
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness. CoRR (2022)
Yue Xing, Qifan Song, Guang Cheng
Benefit of Interpolation in Nearest Neighbor Algorithms. CoRR (2022)
Yue Xing, Qifan Song, Guang Cheng
Why Do Artificially Generated Data Help Adversarial Robustness. NeurIPS (2022)
Yue Xing, Qifan Song, Guang Cheng
On the Algorithmic Stability of Adversarial Training. NeurIPS (2021)
Yue Xing, Qifan Song, Guang Cheng
On the Generalization Properties of Adversarial Training. AISTATS (2021)
Yue Xing, Ruizhi Zhang, Guang Cheng
Adversarially Robust Estimate and Risk Analysis in Linear Regression. AISTATS (2021)
Yue Xing, Huaixi Lu, Aarti Gupta, Sharad Malik
Leveraging Processor Modeling and Verification for General Hardware Modules. DATE (2021)
Junling Wang, Bin Jing, Ru Liu, Donghong Li, Wei Wang, Jiaoyang Wang, Jianfeng Lei, Yue Xing, Jiaqing Yan, Horace H. Loh, Guangming Lu, Xiaofeng Yang
Characterizing the seizure onset zone and epileptic network using EEG-fMRI in a rat seizure model. NeuroImage 237 (2021)
Yue Xing, Qifan Song, Guang Cheng
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation. AISTATS (2021)
Shih-Kang Chao, Zhanyu Wang, Yue Xing, Guang Cheng
Directional Pruning of Deep Neural Networks. NeurIPS (2020)
Yue Xing, Qifan Song, Guang Cheng
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation. CoRR (2020)
Zhenan Zhang, Yuqin Liu, Wei Wang, Yue Xing, Nanyang Jiang, Hongrui Zhang, Hanwen Zhang, Lei He, Wei Yue, Lianju Jiang, Kaili Wang
Identification of Differentially Expressed Genes Associated with Lymph Node Tuberculosis by the Bioinformatic Analysis Based on a Microarray. J. Comput. Biol. 27 (1) (2020)
Yue Xing, Qifan Song, Guang Cheng
On the Generalization Properties of Adversarial Training. CoRR (2020)
Shih-Kang Chao, Zhanyu Wang, Yue Xing, Guang Cheng
Directional Pruning of Deep Neural Networks. CoRR (2020)
Yue Xing, Ruizhi Zhang, Guang Cheng
Adversarially Robust Estimate and Risk Analysis in Linear Regression. CoRR (2020)
Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan Francis, Jonathan M. Garibaldi, Xin Chen
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net. CoRR (2020)
Yujiong Gu, Yue Xing
Online Monitoring of Wind Turbine Operation Efficiency and Optimization Based on Benchmark Values. IEEE Access 7 (2019)
Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan Francis, Jonathan M. Garibaldi, Xin Chen
FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net. ICIG (2) (2019)
Yue Xing, Qifan Song, Guang Cheng
Benefit of Interpolation in Nearest Neighbor Algorithms. CoRR (2019)
Yue Xing, Qifan Song, Guang Cheng
Statistical Optimality of Interpolated Nearest Neighbor Algorithms. CoRR (2018)
Yue Xing, Bo-Yuan Huang, Aarti Gupta, Sharad Malik
A formal instruction-level GPU model for scalable verification. ICCAD (2018)
Xinghua Yang, Yue Xing, Fei Qiao, Huazhong Yang
Multistage Latency Adders Architecture Employing Approximate Computing. J. Circuits Syst. Comput. 26 (3) (2017)
Xinghua Yang, Yue Xing, Fei Qiao, Qi Wei, Huazhong Yang
Approximate Adder with Hybrid Prediction and Error Compensation Technique. ISVLSI (2016)