no code implementations • 3 Jun 2024 • Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin
Retrieval-augmented generation integrates the capabilities of large language models with relevant information retrieved from an extensive corpus, yet encounters challenges when confronted with real-world noisy data.
no code implementations • 28 Feb 2024 • Guangyuan Liu, Nguyen Van Huynh, Hongyang Du, Dinh Thai Hoang, Dusit Niyato, Kun Zhu, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Dong In Kim
For that, this paper aims to provide a comprehensive survey on applications, challenges, and opportunities of GAI in unmanned vehicle swarms.
1 code implementation • 8 Dec 2023 • Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, Yi Guan
Addressing the challenge of cognitive constraints, we introduce a novel framework, the Multi-Agent Debate with Retrieval Augmented (MADRA).
1 code implementation • 4 Sep 2023 • Lei Ding, Kun Zhu, Daifeng Peng, Hao Tang, Kuiwu Yang, Lorenzo Bruzzone
In this work, we aim to utilize the strong visual recognition capabilities of VFMs to improve the change detection of high-resolution Remote Sensing Images (RSIs).
no code implementations • 28 Jul 2023 • Huan Wu, Huan-Feng Duan, Wallace W. L. Lai, Kun Zhu, Xin Cheng, Hao Yin, Bin Zhou, Chun-Cheung Lai, Chao Lu, Xiaoli Ding
Detecting leaks in water networks is a costly challenge.
1 code implementation • 7 Apr 2023 • Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin
Scientific literature review generation aims to extract and organize important information from an abundant collection of reference papers and produces corresponding reviews while lacking a clear and logical hierarchy.
no code implementations • 27 Dec 2022 • Xingliang Shen, Huan Wu, Kun Zhu, Yujia Li, Hua Zheng, Jialong Li, Liyang Shao, Perry Ping Shum, Chao Lu
Distributed acoustic sensing (DAS) is a novel enabling technology that can turn existing fibre optic networks to distributed acoustic sensors.
no code implementations • 20 Nov 2021 • Xuezhen Tu, Kun Zhu, Nguyen Cong Luong, Dusit Niyato, Yang Zhang, Juan Li
In this paper, we provide a comprehensive review for the economic and game theoretic approaches proposed in the literature to design various schemes for stimulating data owners to participate in FL training process.
no code implementations • 26 Oct 2021 • Tianxu Li, Kun Zhu, Nguyen Cong Luong, Dusit Niyato, Qihui Wu, Yang Zhang, Bing Chen
Then, we review a number of applications of MARL to solve emerging issues in future Internet.
no code implementations • 27 Mar 2021 • Kun-Peng Ning, Hu Xu, Kun Zhu, Sheng-Jun Huang
Imitation learning is a primary approach to improve the efficiency of reinforcement learning by exploiting the expert demonstrations.
no code implementations • 11 Mar 2021 • Nguyen Thi Thanh Van, Nguyen Cong Luong, Feng Shaohan, Huy T. Nguyen, Kun Zhu, Thien Van Luong, Dusit Niyato
To formulate the SP and network service selection, we adopt an evolutionary game in which the users are able to adapt their network selections depending on the utilities that they achieve.
Computer Science and Game Theory
no code implementations • 14 Jun 2019 • Tao Zhang, Kun Zhu, Ekram Hossain
As an important component in SON, self-healing is defined as a network paradigm where the faults of target networks are mitigated or recovered by automatically triggering a series of actions such as detection, diagnosis and compensation.