1 citations · 3 across the 9 of their papers we have counts for
9 papers
The Semantic Least-Energy Principle: A Hypothesis for Intelligence
Jie Zhang, Haoyuan Zhu, James Jinheng Zhang +1
Despite remarkable advances in artificial intelligence and cognitive neuroscience, no generally accepted first-principle explains why intelligent systems organize latent semantic s…
Information Abstraction for Data Transmission Networks based on Large Language Models
Haoyuan Zhu, Haonan Hu, Jie Zhang
Biological systems, particularly the human brain, achieve remarkable energy efficiency by abstracting information across multiple hierarchical levels. In contrast, modern artificia…
iPLAN: Redefining Indoor Wireless Network Planning Through Large Language Models
Jinbo Hou, Stefanos Bakirtzis, Kehai Qiu +5
Efficient indoor wireless network (IWN) planning is crucial for providing high-quality 5G in-building services. However, traditional meta-heuristic and artificial intelligence-base…
Mean Age of Information in Partial Offloading Mobile Edge Computing Networks
Ying Dong, Hang Xiao, Haonan Hu +3
The age of information (AoI) performance analysis is essential for evaluating the information freshness in the large-scale mobile edge computing (MEC) networks. This work proposes…
Modelling and Performance Analysis of the Over-the-Air Computing in Cellular IoT Networks
Ying Dong, Haonan Hu, Qiaoshou Liu +3
Ultra-fast wireless data aggregation (WDA) of distributed data has emerged as a critical design challenge in the ultra-densely deployed cellular internet of things network (CITN) d…
On the performance of an integrated communication and localization system: an analytical framework
Yuan Gao, Haonan Hu, Jiliang Zhang +3
Quantifying the performance bound of an integrated localization and communication (ILAC) system and the trade-off between communication and localization performance is critical. In…
CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation
Haonan Hu, Dazhong Rong, Jianhai Chen +2
The cold-start problem is quite challenging for existing recommendation models. Specifically, for the new items with only a few interactions, their ID embeddings are trained inadeq…
On the Performance of Data Compression in Clustered Fog Radio Access Networks
Haonan Hu, Yan Jiang, Jiliang Zhang +3
The fog-radio-access-network (F-RAN) has been proposed to address the strict latency requirements, which offloads computation tasks generated in user equipments (UEs) to the edge t…
Energy Efficient and Fair Resource Allocation for LTE-Unlicensed Uplink Networks: A Two-sided Matching Approach with Partial Information
Yuan Gao, Haonan Hu, Yue Wu +2
LTE-Unlicensed (LTE-U) has recently attracted worldwide interest to meet the explosion in cellular traffic data. By using carrier aggregation (CA), licensed and unlicensed bands ar…