Publications (45)
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum
Xiaolin Wen, Kim Siang Yeo, Yong Wang +3
Ethereum has become a popular blockchain with smart contracts for investors nowadays. Due to the decentralization and anonymity of Ethereum, Ponzi schemes have been easily deployed…
Examining the Effect of Pre-training on Time Series Classification
Jiashu Pu, Shiwei Zhao, Ling Cheng +4
Although the pre-training followed by fine-tuning paradigm is used extensively in many fields, there is still some controversy surrounding the impact of pre-training on the fine-tu…
Spatial Mode Diversity for Robust Free-Space Optical Communications
Mitchell A. Cox, Carmelo Rosales-Guzmán, Ling Cheng +1
Free-space communication links are severely affected by atmospheric turbulence, which causes degradation in the transmitted signal. One of the most common solutions to overcome thi…
Channel Modeling for Ultraviolet Non-Line-of-Sight Communications Incorporating an Obstacle
Tianfeng Wu, Fang Yang, Tian Cao +5
Existing studies on ultraviolet (UV) non-line-of-sight (NLoS) channel modeling primarily focus on scenarios without any obstacle, which makes them unsuitable for small transceiver…
Low-Complexity Detection of Multiweight Permutation Modulation Space-Time Block Codes for Indoor Visible Light Communication
Oluwafemi Kolade, Ling Cheng
In this paper, the spectral efficiency of permutation modulation-based multiple input multiple output (MIMO) visible light communication is improved using systematically designed,…
LLM-based Few-Shot Early Rumor Detection with Imitation Agent
Fengzhu Zeng, Qian Shao, Ling Cheng +4
Early Rumor Detection (EARD) aims to identify the earliest point at which a claim can be accurately classified based on a sequence of social media posts. This is especially challen…
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics
Ling Cheng, Jiashu Pu, Ruicheng Liang +3
Semi-supervised community detection methods are widely used for identifying specific communities due to the label scarcity. Existing semi-supervised community detection methods typ…
Optimal DG allocation and sizing in power system networks using swarm-based algorithms
Kayode Adetunji, Ivan Hofsajer, Ling Cheng
Distributed generation (DG) units are power generating plants that are very important to the architecture of present power system networks. The benefit of the addition of these DG…
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation
Jiashu Pu, Yajing Wan, Yuru Zhang +6
Previous in-context learning (ICL) research has focused on tasks such as classification, machine translation, text2table, etc., while studies on whether ICL can improve human-like…
Modelling the Memory of Turbulence-Induced Beam Wander
Mitchell A. Cox, Lucas Gailele, Ling Cheng +1
One of the major challenges for long range, high speed Free-Space Optical (FSO) communication is turbulence induced beam wander. Beam wander causes fluctuations in the received int…
Bit Flipping Moment Balancing Schemes for Insertion, Deletion and Substitution Error Correction
Ling Cheng, Hendrik C. Ferreira
In this paper, two moment balancing schemes, namely a variable index scheme and a fixed index scheme, for either single insertion/deletion error correction or multiple substitution…
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence
Huiwen Liu, Feida Zhu, Ling Cheng
Existing research on federated learning has been focused on the setting where learning is coordinated by a centralized entity. Yet the greatest potential of future collaborative in…
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency
Ling Cheng, Feida Zhu, Yong Wang +2
With the ever-increasing boom of Cryptocurrency, detecting fraudulent behaviors and associated malicious addresses draws significant research effort. However, most existing studies…
From Asset Flow to Status, Action and Intention Discovery: Early Malice Detection in Cryptocurrency
Ling Cheng, Feida Zhu, Yong Wang +2
Cryptocurrency has been subject to illicit activities probably more often than traditional financial assets due to the pseudo-anonymous nature of its transacting entities. An ideal…
Symbol-Level Synchronisation Channel Modelling With Real-World Application: From Davey-Mackay, Fritchman to Markov
Shamin Achari, Daniel Glenn Holmes, Ling Cheng
Errors in realistic channels contain not only substitution errors, but synchronisation errors as well. Moreover, these errors are rarely statistically independent in nature. By ext…
Surface Damage Detection Scheme using Convolutional Neural Network and Artificial Neural Network
Alice Yi Yang, Ling Cheng
Surface damage on concrete is important as the damage can affect the structural integrity of the structure. This paper proposes a two-step surface damage detection scheme using Con…
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
Wei Wei, Ling Cheng, Xianling Mao +2
Recently, automatic image caption generation has been an important focus of the work on multimodal translation task. Existing approaches can be roughly categorized into two classes…
A Comprehensive Analysis of Correlated Source Compression Using Edge Computing in Distributed Systems
Benjamin Rosen, Shane House, Shamin Achari +1
This paper examines the theory pertaining to lossless compression of correlated sources located at the edge of a network. Importantly, communication between nodes is prohibited. In…
A high-speed, wavelength invariant, single-pixel wavefront sensor with a digital micromirror device
Mitchell A. Cox, Ermes Toninelli, Ling Cheng +2
The wavefront measurement of a light beam is a complex task, which often requires a series of spatially resolved intensity measurements. For instance, a detector array may be used…
Far-Field Tunable Nano-focusing Based on Metallic Slits Surrounded with Nonlinear-Variant Widths and Linear-Variant Depths of Circular Dielectric Grating
Peng-Fei Cao, Ling Cheng, Xiao-Ping Zhang +3
In this work, we design a new tunable nanofocusing lens by the linear-variant depths and nonlinear-variant widths of circular grating for far field practical applications. The cons…
Long-Bone Fracture Detection using Artificial Neural Networks based on Contour Features of X-ray Images
Alice Yi Yang, Ling Cheng
The following paper proposes two contour-based fracture detection schemes. The development of the contour-based fracture is based on the line-based fracture detection schemes propo…
Neural Network Model for OAM Crosstalk due to Turbulence-Induced Tilt and Lateral Displacement
Mitchell A. Cox, Steven G. Makoni, Ling Cheng
Accurately modelling orbital angular momentum (OAM) mode crosstalk in turbulent environments is challenging yet essential for developing free-space optical systems that employ OAM…
Modelling Noise and Pulse Width Modulation Interference in Indoor Visible Light Communication Channels
Daniel G. Holmes, Ling Cheng, Mulundumina Shimaponda-Nawa +2
Visible light communication (VLC) has the potential to supplement the growing demand for wireless connectivity. In order to realise the full potential of VLC, channel models are re…
A Full-History Network Dataset for BTC Asset Decentralization Profiling
Ling Cheng, Qian Shao, Fengzhu Zeng +1
Since its advent in 2009, Bitcoin (BTC) has garnered increasing attention from both academia and industry. However, due to the massive transaction volume, no systematic study has q…
On Decentralization of Bitcoin: An Asset Perspective
Ling Cheng, Feida Zhu, Huiwen Liu +1
Since its advent in 2009, Bitcoin, a cryptography-enabled peer-to-peer digital payment system, has been gaining increasing attention from both academia and industry. An effort desi…
Optimization Algorithms for Improving the Performance of Permutation Trellis Codes
Oluwafemi Kolade, Mulundumina Shimaponda-Nawa, Daniel J. J. Versfeld +1
In this paper, soft-decision (SD) decoders of permutation trellis code (PTC) with -ary frequency shift keying are designed using three optimization algorithms and presented in f…
Path Loss Modeling for NLoS Ultraviolet Channels Incorporating Scattering and Reflection Effects
Tianfeng Wu, Fang Yang, Fei Li +6
This paper tackles limitations in existing non-line-of-sight (NLoS) ultraviolet (UV) channel models, where conventional approaches assume obstacle-free propagation or uniform radia…
Watermark-Based Code Construction for Finite-State Markov Channel with Synchronisation Errors
Shamin Achari, Ling Cheng
With advancements in telecommunications, data transmission over increasingly harsher channels that produce synchronisation errors is inevitable. Coding schemes for such channels ar…
Structured Light in Turbulence
Mitchell A. Cox, Nokwazi Mphuthi, Isaac Nape +3
Optical communication is an integral part of the modern economy, having all but replaced electronic communication systems. Future growth in bandwidth appears to be on the horizon u…
Is Deep Learning a Renormalization Group Flow?
Ellen de Mello Koch, Robert de Mello Koch, Ling Cheng
Although there has been a rapid development of practical applications, theoretical explanations of deep learning are in their infancy. Deep learning performs a sophisticated coarse…
Trends in the optimal location and sizing of electrical units in smart grids using meta-heuristic algorithms
Kayode Adetunji, Ivan Hofsajer, Ling Cheng
The development of smart grids has effectively transformed the traditional grid system. This promises numerous advantages for economic values and autonomous control of energy sourc…
Comparative study on aging effect in BiFeO3 thin films substituted at A- and B-site
Xi Wang, Guangda Hu, Ling Cheng +2
Typical characteristics of aging effect, double hysteresis loops, were observed in (100)-oriented Bi0.95Ca0.05FeO3 (BCFO) and BiFe0.95Ni0.05O3 (BFNO) films grown on LaNiO3(100)/Si…
Modeling of UV NLoS Communication Channels: From Atmospheric Scattering and Obstacle Reflection Perspectives
Tianfeng Wu, Fang Yang, Tian Cao +5
As transceiver elevation angles increase from small to large, existing ultraviolet (UV) non-line-of-sight (NLoS) models encounter two challenges: i) cannot estimate the channel cha…
Long-Bone Fracture Detection using Artificial Neural Networks based on Line Features of X-ray Images
Alice Yi Yang, Ling Cheng
Two line-based fracture detection scheme are developed and discussed, namely Standard line-based fracture detection and Adaptive Differential Parameter Optimized (ADPO) line-based…
Short sighted deep learning
Ellen de Melllo Koch, Anita de Mello Koch, Nicholas Kastanos +1
A theory explaining how deep learning works is yet to be developed. Previous work suggests that deep learning performs a coarse graining, similar in spirit to the renormalization g…
The Resilience of Hermite- and Laguerre-Gaussian Modes in Turbulence
Mitchell A. Cox, Luthando Maqondo, Ravin Kara +3
Vast geographical distances in Africa are a leading cause for the so-called "digital divide" due to the high cost of installing fibre. Free-Space Optical (FSO) communications offer…
Self-Synchronising On-Off-Keying Visible Light Communication System For Intra and Inter-Vehicle Data Transmission
Shamin Achari, Alice Yi Yang, James Goodhead +2
Visible Light Communication (VLC) is a current technology which allows data to be transmitted by modulating information onto a light source. It has many advantages over traditional…
Dynamic Electric Vehicle Charging Pricing for Load Balancing in Power Distribution Networks based on Collaborative DDPG Agents
Leloko J. Lepolesa, Kayode E. Adetunji, Khmaies Ouahada +2
The transition from the Internal Combustion Engine Vehicles (ICEVs) to the Electric Vehicles (EVs) is globally recommended to combat the unfavourable environmental conditions cause…
Information Leakage of Correlated Source Coded Sequences over Channel with an Eavesdropper
Reevana Balmahoon, Ling Cheng
A new generalised approach for multiple correlated sources over a wiretap network is investigated. A basic model consisting of two correlated sources where each produce a component…
A Note on Slepian-Wolf Bounds for Several Node Grouping Configurations
Benjamin Rosen, Adnan M. Abu-Mahfouz, Ling Cheng
The Slepian-Wolf bound on the admissible coding rate forms the most fundamental aspect of distributed source coding. As such, it is necessary to provide a framework with which to m…
Toward Intention Discovery for Early Malice Detection in Bitcoin
Ling Cheng, Feida Zhu, Yong Wang +1
Bitcoin has been subject to illicit activities more often than probably any other financial assets, due to the pseudo-anonymous nature of its transacting entities. An ideal detecti…
Geometry-Entangled Visual Semantic Transformer for Image Captioning
Ling Cheng, Wei Wei, Feida Zhu +2
Recent advancements of image captioning have featured Visual-Semantic Fusion or Geometry-Aid attention refinement. However, those fusion-based models, they are still criticized for…
Solving MKP Applied to IoT in Smart Grid Using Meta-heuristics Algorithms: A Parallel Processing Perspective
Jandre Albertyn, Ling Cheng, Adnan M. Abu-Mahfouz
Increasing electricity prices in South Africa and the imminent threat of load shedding due to the overloaded power grid has led to a need for Demand Side Management (DSM) devices l…
Single machine slack due-window assignment and scheduling of linear time-dependent deteriorating jobs and a deteriorating maintenance activity
Bo Cheng, Ling Cheng
In this paper, we consider the slack due-window assignment model and study a single machine scheduling problem of linear time-dependent deteriorating jobs and a deteriorating maint…
A multivariate water quality parameter prediction model using recurrent neural network
Dhruti Dheda, Ling Cheng
The global degradation of water resources is a matter of great concern, especially for the survival of humanity. The effective monitoring and management of existing water resources…