Zobrazeno 1 - 10
of 437
pro vyhledávání: '"Wang, Yongheng"'
Autor:
Zhou, Zhiguang, Ye, Li, Cai, Lihong, Wang, Lei, Wang, Yigang, Wang, Yongheng, Chen, Wei, Wang, Yong
Massive Open Online Courses (MOOCs) platforms are becoming increasingly popular in recent years. Online learners need to watch the whole course video on MOOC platforms to learn the underlying new knowledge, which is often tedious and time-consuming d
Externí odkaz:
http://arxiv.org/abs/2401.11132
This paper proposes a collaborative planning model for the active distribution network (ADN) and electric vehicle (EV) charging stations that fully considers the vehicle-to-grid (V2G) function and reactive power support of EVs in different regions. T
Externí odkaz:
http://arxiv.org/abs/2312.16258
The human ability to learn, generalize, and control complex manipulation tasks through multi-modality feedback suggests a unique capability, which we refer to as dexterity intelligence. Understanding and assessing this intelligence is a complex task.
Externí odkaz:
http://arxiv.org/abs/2311.07226
Autor:
Cheng, Siyuan, Tian, Bozhong, Liu, Qingbin, Chen, Xi, Wang, Yongheng, Chen, Huajun, Zhang, Ningyu
In this paper, we focus on editing Multimodal Large Language Models (MLLMs). Compared to editing single-modal LLMs, multimodal model editing is more challenging, which demands a higher level of scrutiny and careful consideration in the editing proces
Externí odkaz:
http://arxiv.org/abs/2310.08475
Knowledge distillation (KD) exploits a large well-trained model (i.e., teacher) to train a small student model on the same dataset for the same task. Treating teacher features as knowledge, prevailing methods of knowledge distillation train student b
Externí odkaz:
http://arxiv.org/abs/2305.17007
Autor:
Chen, Xiang, Zhang, Jintian, Wang, Xiaohan, Zhang, Ningyu, Wu, Tongtong, Wang, Yuxiang, Wang, Yongheng, Chen, Huajun
Current Multimodal Knowledge Graph Construction (MKGC) models struggle with the real-world dynamism of continuously emerging entities and relations, often succumbing to catastrophic forgetting-loss of previously acquired knowledge. This study introdu
Externí odkaz:
http://arxiv.org/abs/2305.08698
Autor:
Cao, Yuan, Zhang, Xudong, Zhang, Fan, Kou, Feifei, Poon, Josiah, Jin, Xiongnan, Wang, Yongheng, Chen, Jinpeng
Session-based recommendation (SBR) problem, which focuses on next-item prediction for anonymous users, has received increasingly more attention from researchers. Existing graph-based SBR methods all lack the ability to differentiate between sessions
Externí odkaz:
http://arxiv.org/abs/2302.03997
Autor:
Zhang Yumang, Wang Yongheng, Wang Chengyu, Gao Yunhang, Liu Shuxia, Xie Zhonglei, Chang Hongyan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Using polyaspartic acid (PAsp) and bentonite (BT) as the main raw materials, a new type of degradable soil water retaining agent (PAsp-AA/BT) was synthesized by microwave radiation. The optimum synthesis conditions and comprehensive properti
Externí odkaz:
https://doaj.org/article/ad3c568d553041129509bac5dbc43c07
Data workers usually seek to understand the semantics of data wrangling scripts in various scenarios, such as code debugging, reusing, and maintaining. However, the understanding is challenging for novice data workers due to the variety of programmin
Externí odkaz:
http://arxiv.org/abs/2209.13995
Ensemble clustering integrates a set of base clustering results to generate a stronger one. Existing methods usually rely on a co-association (CA) matrix that measures how many times two samples are grouped into the same cluster according to the base
Externí odkaz:
http://arxiv.org/abs/2205.05937