activity
20202026
most citedA Framework for Characterising the Value of Information in Hidden Markov Models

5 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IT2026

An Information-Theoretic Metric for Semantic Value of Spatiotemporal Information

Zijing Wang, Zhijin Qin, Siyu Lin +1

With the explosive growth of network scale and data volume, wireless communication is facing an increasingly severe limitation of spectrum resources. Semantic communication has eme…

cs.NI2026

Resilient and Freshness-Aware Scheduling for Industrial Multi-Hop IAB Networks: A Packet Duplication Approach

Shuo Zhu, Siyu Lin, Zijing Wang +3

In industrial millimeter-wave (mmWave) multi-hop Integrated Access and Backhaul (IAB) networks, dynamic blockages caused by moving obstacles pose a severe threat to robust and cont…

eess.SY2025

Urban Air Mobility: A Review of Recent Advances in Communication, Management, and Sustainability

Zhitong He, Zijing Wang, Lingxi Li

Urban Air Mobility (UAM) offers a transformative approach to addressing urban congestion, improving accessibility, and advancing environmental sustainability. Rapid progress has em…

eess.SP2025

Timeliness-Aware Joint Source and Channel Coding for Adaptive Image Transmission

Xiaolei Yang, Zijing Wang, Zhijin Qin +1

Accurate and timely image transmission is critical for emerging time-sensitive applications such as remote sensing in satellite-assisted Internet of Things. However, the bandwidth…

eess.SY2023

Optimal Mobility and Communication Strategy to Maximize the Value of Information in IoT Networks

Zijing Wang, Mihai-Alin Badiu, Justin P. Coon

The Internet of Things (IoT) is an emerging next-generation technology in the fourth industrial revolution. In industrial IoT networks, sensing devices are largely deployed to moni…

cs.IT2021★ 5 cited

A Framework for Characterising the Value of Information in Hidden Markov Models

Zijing Wang, Mihai-Alin Badiu, Justin P. Coon

In this paper, a general framework is formalised to characterise the value of information (VoI) in hidden Markov models. Specifically, the VoI is defined as the mutual information…

cs.IT2020★ 2 cited

A Value of Information Framework for Latent Variable Models

Zijing Wang, Mihai-Alin Badiu, Justin P. Coon

In this paper, a general value of information (VoI) framework is formalised for latent variable models. In particular, the mutual information between the current status at the sour…