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 • 29 Nov 2023 • Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin
Understanding time is a pivotal aspect of human cognition, crucial in the broader framework of grasping the intricacies of the world.
no code implementations • 8 Nov 2023 • Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin
To address this issue, we propose MTGER, a novel Multi-view Temporal Graph Enhanced Temporal Reasoning framework for temporal reasoning over time-involved documents.
1 code implementation • 27 Sep 2023 • Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu
Chain-of-thought reasoning, a cognitive process fundamental to human intelligence, has garnered significant attention in the realm of artificial intelligence and natural language processing.
no code implementations • 13 Sep 2023 • Zheng Li, Zhengyu Zhu, Zheng Chu, Yingying Guan, De Mi, Fan Liu, Lie-Liang Yang
Wireless sensing and wireless energy are enablers to pave the way for smart transportation and a greener future.
no code implementations • 29 Jun 2023 • Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, Bing Qin
The proposed approach comprises two main components: a GNN-based predictor and a reasoning path distiller.
no code implementations • SemEval (NAACL) 2022 • Zheng Chu, Ziqing Yang, Yiming Cui, Zhigang Chen, Ming Liu
The same multi-word expressions may have different meanings in different sentences.
no code implementations • 5 Jan 2022 • Zhengyu Zhu, Zheng Li, Zheng Chu, Gangcan Sun, Wanming Hao, Pei Xiao, Inkyu Lee
By jointly designing the radar signal covariance (RSC) matrix, the beamforming vector of the communication system, and the IRS phase shift, the ISAC system transmission rate can be improved while matching the desired waveform for radar.
no code implementations • 28 Apr 2021 • Zheng Chu, Pei Xiao, De Mi, Wanming Hao, Mohsen Khalily, Lie-Liang Yang
Our proposed policy for the considered WPSN is called IRS assisted harvest-then-transmit time switching, which is able to schedule the transmission time slots by switching between energy collection and energy reflection modes.
no code implementations • 19 Mar 2021 • Zheng Chu, Zhengyu Zhu, Miao Zhang, Fuhui Zhou, Li Zhen, Xueqian Fu, and Naofal Al-Dhahir
To evaluate the performance of this IRS assisted WPSN, we are interested in maximizing its system sum throughput to jointly optimize the energy beamforming of the PS, the transmission time allocation, as well as the phase shifts of the WET and WIT phases.