Zobrazeno 1 - 10
of 46 268
pro vyhledávání: '"XIAO, MING"'
We present Legommenders, a unique library designed for content-based recommendation that enables the joint training of content encoders alongside behavior and interaction modules, thereby facilitating the seamless integration of content understanding
Externí odkaz:
http://arxiv.org/abs/2412.15973
Autor:
Li, Guolong, Lu, Xiao-Ming
Linear measurement is an important class of measurements for sensing classical signals including gravitational wave (GW), dark matter, infrared ray, rotation rate, etc. In this Letter, we focus on multiparameter linear measurement and establish a gen
Externí odkaz:
http://arxiv.org/abs/2412.15031
The Cahn-Hilliard equation is a fundamental model that describes phase separation processes of two-phase flows or binary mixtures. In recent years, the dynamic boundary conditions for the Cahn-Hilliard equation have been proposed and analyzed. Our fi
Externí odkaz:
http://arxiv.org/abs/2412.08170
We study the topological properties of the one-dimensional generalized quasiperiodic modulated Su-Schrieffer-Heeger model. The results reveal that topological re-entrant phase transition emerges. Through the analysis of a real-space winding number ,
Externí odkaz:
http://arxiv.org/abs/2412.08067
Autor:
Liu, Bo, Zou, Ke, Zhan, Liming, Lu, Zexin, Dong, Xiaoyu, Chen, Yidi, Xie, Chengqiang, Cao, Jiannong, Wu, Xiao-Ming, Fu, Huazhu
Medical Visual Question Answering (VQA) is an essential technology that integrates computer vision and natural language processing to automatically respond to clinical inquiries about medical images. However, current medical VQA datasets exhibit two
Externí odkaz:
http://arxiv.org/abs/2411.16778
Autor:
Zhao, Xiangyu, Zhou, Zhiwang, Zhang, Wenlong, Liu, Yihao, Chen, Xiangyu, Gong, Junchao, Chen, Hao, Fei, Ben, Chen, Shiqi, Ouyang, Wanli, Wu, Xiao-Ming, Bai, Lei
The Earth's weather system encompasses intricate weather data modalities and diverse weather understanding tasks, which hold significant value to human life. Existing data-driven models focus on single weather understanding tasks (e.g., weather forec
Externí odkaz:
http://arxiv.org/abs/2411.05420
Autor:
Zhang, Xiao-Ming
Quantum state preparation, as a general process of loading classical data to quantum device, is essential for end-to-end implementation of quantum algorithms. Yet, existing methods suffer from either high circuit depth or complicated hardware, limiti
Externí odkaz:
http://arxiv.org/abs/2411.02782
Autor:
Fang, Xinran, Lei, Chengleyang, Feng, Wei, Chen, Yunfei, Xiao, Ming, Ge, Ning, Wang, Chengxiang
Rapid advancements in field robots have brought a new kind of cyber physical system (CPS)--unmanned robotic system--under the spotlight. In the upcoming sixth-generation (6G) era, these systems hold great potential to replace humans in hazardous task
Externí odkaz:
http://arxiv.org/abs/2410.18382
Equipping humanoid robots with the capability to understand emotional states of human interactants and express emotions appropriately according to situations is essential for affective human-robot interaction. However, enabling current vision-aware m
Externí odkaz:
http://arxiv.org/abs/2410.18373
Autor:
Shi, Guangyuan, Lu, Zexin, Dong, Xiaoyu, Zhang, Wenlong, Zhang, Xuanyu, Feng, Yujie, Wu, Xiao-Ming
Aligning large language models (LLMs) through fine-tuning is essential for tailoring them to specific applications. Therefore, understanding what LLMs learn during the alignment process is crucial. Recent studies suggest that alignment primarily adju
Externí odkaz:
http://arxiv.org/abs/2410.17875