Zobrazeno 1 - 10
of 5 281
pro vyhledávání: '"Qin Jing"'
Integrating multi-modal clinical data, such as electronic health records (EHR) and chest X-ray images (CXR), is particularly beneficial for clinical prediction tasks. However, in a temporal setting, multi-modal data are often inherently asynchronous.
Externí odkaz:
http://arxiv.org/abs/2410.17918
Log anomaly detection (LAD) is essential to ensure safe and stable operation of software systems. Although current LAD methods exhibit significant potential in addressing challenges posed by unstable log events and temporal sequence patterns, their l
Externí odkaz:
http://arxiv.org/abs/2410.16612
With the recent evolution of large language models (LLMs), concerns about aligning such models with human values have grown. Previous research has primarily focused on assessing LLMs' performance in terms of the Helpful, Honest, Harmless (3H) basic p
Externí odkaz:
http://arxiv.org/abs/2409.12739
Multi-modal magnetic resonance imaging (MRI) provides rich, complementary information for analyzing diseases. However, the practical challenges of acquiring multiple MRI modalities, such as cost, scan time, and safety considerations, often result in
Externí odkaz:
http://arxiv.org/abs/2409.08500
In the era of large language models (LLMs), the task of ``System I''~-~the fast, unconscious, and intuitive tasks, e.g., sentiment analysis, text classification, etc., have been argued to be successfully solved. However, sarcasm, as a subtle linguist
Externí odkaz:
http://arxiv.org/abs/2408.11319
Autor:
Yang, Haoxin, Xu, Xuemiao, Xu, Cheng, Zhang, Huaidong, Qin, Jing, Wang, Yi, Heng, Pheng-Ann, He, Shengfeng
Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving privacy without sacrificing image clarity. Traditional methods, such as en
Externí odkaz:
http://arxiv.org/abs/2408.09458
The distribution-free method of conformal prediction (Vovk et al, 2005) has gained considerable attention in computer science, machine learning, and statistics. Candes et al. (2023) extended this method to right-censored survival data, addressing rig
Externí odkaz:
http://arxiv.org/abs/2408.06539
Transfer learning has emerged as a highly sought-after and actively pursued research area within the statistical community. The core concept of transfer learning involves leveraging insights and information from auxiliary datasets to enhance the anal
Externí odkaz:
http://arxiv.org/abs/2407.21682
Elaborating a series of intermediate reasoning steps significantly improves the ability of large language models (LLMs) to solve complex problems, as such steps would evoke LLMs to think sequentially. However, human sarcasm understanding is often con
Externí odkaz:
http://arxiv.org/abs/2407.12725
Autor:
Huang, Zikai, Xu, Xuemiao, Xu, Cheng, Zhang, Huaidong, Zheng, Chenxi, Qin, Jing, He, Shengfeng
Dance, as an art form, fundamentally hinges on the precise synchronization with musical beats. However, achieving aesthetically pleasing dance sequences from music is challenging, with existing methods often falling short in controllability and beat
Externí odkaz:
http://arxiv.org/abs/2407.07554