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pro vyhledávání: '"liu, Yan"'
Multi-modality (MM) semi-supervised learning (SSL) based medical image segmentation has recently gained increasing attention for its ability to utilize MM data and reduce reliance on labeled images. However, current methods face several challenges: (
Externí odkaz:
http://arxiv.org/abs/2410.17565
Autor:
Wei, Runpu, Yin, Zijin, Liang, Kongming, Min, Min, Pan, Chengwei, Yu, Gang, Huang, Haonan, Liu, Yan, Ma, Zhanyu
Automatic polyp segmentation is helpful to assist clinical diagnosis and treatment. In daily clinical practice, clinicians exhibit robustness in identifying polyps with both location and size variations. It is uncertain if deep segmentation models ca
Externí odkaz:
http://arxiv.org/abs/2410.16732
Autor:
Li, Tian-Ming, Zhang, Jia-Chi, Chen, Bing-Jie, Huang, Kaixuan, Liu, Hao-Tian, Xiao, Yong-Xi, Deng, Cheng-Lin, Liang, Gui-Han, Chen, Chi-Tong, Liu, Yu, Li, Hao, Bao, Zhen-Ting, Zhao, Kui, Xu, Yueshan, Li, Li, He, Yang, Liu, Zheng-He, Yu, Yi-Han, Zhou, Si-Yun, Liu, Yan-Jun, Song, Xiaohui, Zheng, Dongning, Xiang, Zhong-Cheng, Shi, Yun-Hao, Xu, Kai, Fan, Heng
For superconducting quantum processors, stable high-fidelity two-qubit operations depend on precise flux control of the tunable coupler. However, the pulse distortion poses a significant challenge to the control precision. Current calibration methods
Externí odkaz:
http://arxiv.org/abs/2410.15041
Autor:
Schnitzer, Mireille E, Talbot, Denis, Liu, Yan, Berger, David, Wang, Guanbo, O'Loughlin, Jennifer, Sylvestre, Marie-Pierre, Ertefaie, Ashkan
Causal variable selection in time-varying treatment settings is challenging due to evolving confounding effects. Existing methods mainly focus on time-fixed exposures and are not directly applicable to time-varying scenarios. We propose a novel two-s
Externí odkaz:
http://arxiv.org/abs/2410.08283
Resource competition problems are often modeled using Colonel Blotto games. However, Colonel Blotto games only simulate scenarios where players act simultaneously. In many real-life scenarios, competition is sequential, such as cybersecurity, cloud s
Externí odkaz:
http://arxiv.org/abs/2410.07690
In recent decades, there has been substantial advances in time series models and benchmarks across various individual tasks, such as time series forecasting, classification, and anomaly detection. Meanwhile, compositional reasoning in time series is
Externí odkaz:
http://arxiv.org/abs/2410.04047
Localization microscopy enables imaging with resolutions that surpass the conventional optical diffraction limit. Notably, the MINFLUX method achieves super-resolution by shaping the excitation point-spread function (PSF) to minimize the required pho
Externí odkaz:
http://arxiv.org/abs/2410.03349
Autor:
Liu, Yan, Yi, Xiaoyuan, Chen, Xiaokang, Yao, Jing, Yi, Jingwei, Zan, Daoguang, Liu, Zheng, Xie, Xing, Ho, Tsung-Yi
The demand for regulating potentially risky behaviors of large language models (LLMs) has ignited research on alignment methods. Since LLM alignment heavily relies on reward models for optimization or evaluation, neglecting the quality of reward mode
Externí odkaz:
http://arxiv.org/abs/2409.19024
Autor:
Zhou, Yujia, Liu, Yan, Li, Xiaoxi, Jin, Jiajie, Qian, Hongjin, Liu, Zheng, Li, Chaozhuo, Dou, Zhicheng, Ho, Tsung-Yi, Yu, Philip S.
Retrieval-Augmented Generation (RAG) has quickly grown into a pivotal paradigm in the development of Large Language Models (LLMs). While much of the current research in this field focuses on performance optimization, particularly in terms of accuracy
Externí odkaz:
http://arxiv.org/abs/2409.10102
Autor:
Shao, Hao-Chiang, Chen, Guan-Yu, Lin, Yu-Hsien, Lin, Chia-Wen, Fang, Shao-Yun, Tsai, Pin-Yian, Liu, Yan-Hsiu
Recent advances in VLSI fabrication technology have led to die shrinkage and increased layout density, creating an urgent demand for advanced hotspot detection techniques. However, by taking an object detection network as the backbone, recent learnin
Externí odkaz:
http://arxiv.org/abs/2409.10021