Zobrazeno 1 - 10
of 10 751
pro vyhledávání: '"Cheng, Hong"'
Individual personalities significantly influence our perceptions, decisions, and social interactions, which is particularly crucial for gaining insights into human behavior patterns in online social network analysis. Many psychological studies have o
Externí odkaz:
http://arxiv.org/abs/2407.03568
Artificial general intelligence on graphs has shown significant advancements across various applications, yet the traditional 'Pre-train & Fine-tune' paradigm faces inefficiencies and negative transfer issues, particularly in complex and few-shot set
Externí odkaz:
http://arxiv.org/abs/2406.05346
Supervised and self-supervised learning are two main training paradigms for skeleton-based human action recognition. However, the former one-hot classification requires labor-intensive predefined action categories annotations, while the latter involv
Externí odkaz:
http://arxiv.org/abs/2405.20606
Autor:
Wu, Xixi, Shen, Yifei, Shan, Caihua, Song, Kaitao, Wang, Siwei, Zhang, Bohang, Feng, Jiarui, Cheng, Hong, Chen, Wei, Xiong, Yun, Li, Dongsheng
Task planning is emerging as an important research topic alongside the development of large language models (LLMs). It aims to break down complex user requests into solvable sub-tasks, thereby fulfilling the original requests. In this context, the su
Externí odkaz:
http://arxiv.org/abs/2405.19119
Autor:
Huang, Minbin, Long, Yanxin, Deng, Xinchi, Chu, Ruihang, Xiong, Jiangfeng, Liang, Xiaodan, Cheng, Hong, Lu, Qinglin, Liu, Wei
Text-to-image (T2I) generation models have significantly advanced in recent years. However, effective interaction with these models is challenging for average users due to the need for specialized prompt engineering knowledge and the inability to per
Externí odkaz:
http://arxiv.org/abs/2403.08857
This paper is an extended abstract of our original work published in KDD23, where we won the best research paper award (Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, and Jihong Guan. All in one: Multi-task prompting for graph neural networks. KDD 23) The
Externí odkaz:
http://arxiv.org/abs/2403.07040
Understanding the 3D structures of protein multimers is crucial, as they play a vital role in regulating various cellular processes. It has been empirically confirmed that the multimer structure prediction~(MSP) can be well handled in a step-wise ass
Externí odkaz:
http://arxiv.org/abs/2402.18813
Active distribution networks (ADNs) incorporating massive photovoltaic (PV) devices encounter challenges of rapid voltage fluctuations and potential violations. Due to the fluctuation and intermittency of PV generation, the state gap, arising from ti
Externí odkaz:
http://arxiv.org/abs/2402.17268
Large Language Models (LLMs) have revolutionized the fields of computer vision (CV) and natural language processing (NLP). One of the most notable advancements of LLMs is that a single model is trained on vast and diverse datasets spanning multiple d
Externí odkaz:
http://arxiv.org/abs/2402.09834
Graph plays a significant role in representing and analyzing complex relationships in real-world applications such as citation networks, social networks, and biological data. Recently, Large Language Models (LLMs), which have achieved tremendous succ
Externí odkaz:
http://arxiv.org/abs/2311.12399