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Ka Lok Man - IEEE Xplore Author Profile
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Ka Lok Man

Also published under: Kalok Man, K. L. Man, K. Man, Ka lok Man, Ka-Lok Man

Publications
170
Citations
693
Publications by Year
20072025
Co-Authors:
Show All Co-Authors (273)
Image of author Ka Lok Man

Ka Lok Man

Also published under: Kalok Man, K. L. Man, K. Man, Ka lok Man, Ka-Lok Man

Affiliation

School of Advanced Technology
Xi’an Jiaotong–Liverpool University
Suzhou, China

Publication Topics

Biography

Ka Lok Man (Member, IEEE) received the Dr.Eng. degree in electronic engineering from Politecnico di Torino, Turin, Italy, in 1998, and the Ph.D. degree in computer science from Technische Universiteit Eindhoven, Eindhoven, The Netherlands, in 2006. He is currently a Professor of computer science and software engineering with Xi’an Jiaotong-Liverpool University, Suzhou, China. His research interests include formal methods and process algebras, embedded system design and testing, and photovoltaics.(Based on document published on 26 June 2024).
Publications
170
Citations
693
Publications by Year
20072025
Co-Authors:
Show All Co-Authors (273)
Author's Published Works

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WaterVG: Waterway Visual Grounding Based on Text-Guided Vision and mmWave Radar

Runwei Guan;Liye Jia;Shanliang Yao;Fengyufan Yang;Sheng Xu;Erick Purwanto;Xiaohui Zhu;Ka Lok Man;Eng Gee Lim;Jeremy Smith;Xuming Hu;Yutao Yue

IEEE Transactions on Intelligent Transportation Systems
Year: 2025 | Early Access Article |
Waterway perception is critical for the special operations and autonomous navigation of Unmanned Surface Vessels (USVs), but current perception schemes are sensor-based, neglecting the interaction between humans and USVs for embodied perception in various operations. Therefore, inspired by visual grounding, we present WaterVG, the inaugural visual grounding dataset tailored for USV-based waterway ...Show More

WaterVG: Waterway Visual Grounding Based on Text-Guided Vision and mmWave Radar

Runwei Guan;Liye Jia;Shanliang Yao;Fengyufan Yang;Sheng Xu;Erick Purwanto;Xiaohui Zhu;Ka Lok Man;Eng Gee Lim;Jeremy Smith;Xuming Hu;Yutao Yue

Year: 2025 | Early Access Article |

Beta-Particle-Filter Method for Sensorless Solar Tracking Systems under Partial Shading Conditions

Ming Huang;Jieming Ma;Ka Lok Man;Steven Guan;Xue Zhang

2024 IEEE Energy Conversion Congress and Exposition (ECCE)
Year: 2024 | Conference Paper |
Conventional sensor-based solar tracking systems face limitations in accurately tracking the maximum output power position under partial shading conditions (PSCs). The primary challenge of current solar tracking methods is to minimize global search efforts while efficiently tracking the optimal position with lower energy consumption. This paper introduces a beta-particle-filter (β-PF) sensorless s...Show More

Beta-Particle-Filter Method for Sensorless Solar Tracking Systems under Partial Shading Conditions

Ming Huang;Jieming Ma;Ka Lok Man;Steven Guan;Xue Zhang

Year: 2024 | Conference Paper |

Temporal Improvement of Video Traffic Anomaly Detection: A Positioning Paper

Xinyue Zhang;Yuxuan Zhao;Ka Lok Man;Jeremy S. Smith;Young-Ae Jung;Yutao Yue

2024 International Conference on Platform Technology and Service (PlatCon)
Year: 2024 | Conference Paper |
Internet of Things (IoT) technology can provide real-time public facilities data to Intelligent Transportation Systems (ITS), especially the surveillance cameras' video data. With the popularity of video surveillance systems, Video Anomaly Detection (VAD) has become more important in society and traffic management. However, the traditional, highly manual-dependent VAD method and the neural network...Show More

Temporal Improvement of Video Traffic Anomaly Detection: A Positioning Paper

Xinyue Zhang;Yuxuan Zhao;Ka Lok Man;Jeremy S. Smith;Young-Ae Jung;Yutao Yue

Year: 2024 | Conference Paper |

Image Edge-Based CNN Architecture for Detecting Mosaic Augmentation in Datasets: A Novel Approach for Assuring Data Quality

Linxuan Biao;Runwei Guan;Jie Zhang;Yutao Yue;Ka Lok Man;Yuechun Wang;Young-Ae Jung

2024 International Conference on Platform Technology and Service (PlatCon)
Year: 2024 | Conference Paper |
This research uncovers a pioneering method for distinguishing mosaic augmentation in datasets, an area yet to be thoroughly investigated. Utilizing conventional visual preprocessing tactics, such as Gaussian blurring and Canny Edge Detection, together with a Convolutional Neural Network (CNN), we develop a strategy for detecting mosaic enhancements in datasets. This methodology achieved an remarka...Show More

Image Edge-Based CNN Architecture for Detecting Mosaic Augmentation in Datasets: A Novel Approach for Assuring Data Quality

Linxuan Biao;Runwei Guan;Jie Zhang;Yutao Yue;Ka Lok Man;Yuechun Wang;Young-Ae Jung

Year: 2024 | Conference Paper |

Choosing the Right Path: A Comparative Study of CNN, RNN, and Transformer Models for Sequential Recommendation Systems

Yuchen Liu;Gangmin Li;Terry R. Payne;Yong Yue;Ka Lok Man

2024 International Conference on Platform Technology and Service (PlatCon)
Year: 2024 | Conference Paper |
As the Internet continues to evolve rapidly, the accuracy and efficiency of recommendation systems are crucial for Internet platforms. Concurrently, the continuous advancement of deep learning has led to the emergence of various recommendation system models based on Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and attention mechanisms. This model diversity presents a cha...Show More

Choosing the Right Path: A Comparative Study of CNN, RNN, and Transformer Models for Sequential Recommendation Systems

Yuchen Liu;Gangmin Li;Terry R. Payne;Yong Yue;Ka Lok Man

Year: 2024 | Conference Paper |

Designs of Dual-band Metamaterials for Near-field Wireless Power Transmission

Xiaozhe Ji;Jingchen Wang;Ka Lok Man;Eng Gee Lim;Yutao Yue;Jiafeng Zhou

2024 21st International SoC Design Conference (ISOCC)
Year: 2024 | Conference Paper |
Within the ever-changing environment of Wireless Power Transmission (WPT), the goal of increased efficiency and charging range has gained significant interest. A significant difficulty is the inherent reduction in energy transmission with increasing distance and decreasing coupling coefficients. Metamaterials (MTMs), designed objects with remarkable electromagnetic characteristics, represent a pos...Show More

Designs of Dual-band Metamaterials for Near-field Wireless Power Transmission

Xiaozhe Ji;Jingchen Wang;Ka Lok Man;Eng Gee Lim;Yutao Yue;Jiafeng Zhou

Year: 2024 | Conference Paper |

Low-Cost Dual-Band Active Transponder for SAR Satellites Calibration

Gianfranco Avitabile;Marco Rossano;Ka Lok Man

2024 21st International SoC Design Conference (ISOCC)
Year: 2024 | Conference Paper |
We propose the design of a low-cost dual-band transponder for calibrating C-band and X-band Synthetic Aperture Radar (SAR) satellites. The production costs are reduced since the design was done on an FR4 substrate. The amplifiers utilize a multistage common emitter (CE) topology while antennas consist of an 8-element concentric circular array.Show More

Low-Cost Dual-Band Active Transponder for SAR Satellites Calibration

Gianfranco Avitabile;Marco Rossano;Ka Lok Man

Year: 2024 | Conference Paper |

State of Charge Estimation for Lithium-Ion Batteries Based on Informer-LSTM Hybrid Network

Ningfei Song;Nanlin Jin;Jingchen Wang;Jie Zhang;Ka Lok Man;Jeremy S. Smith;Yutao Yue

2024 21st International SoC Design Conference (ISOCC)
Year: 2024 | Conference Paper |
Accurate State of Charge (SoC) estimation is essential for efficient battery management systems (BMS). In this study, we propose a novel hybrid neural network architecture, combining the Informer and Long Short-Term Memory (LSTM) networks. Our hybrid network captures temporal dependencies and nonlinear characteristics inherent in battery data, enhancing sequence integration capabilities and comput...Show More

State of Charge Estimation for Lithium-Ion Batteries Based on Informer-LSTM Hybrid Network

Ningfei Song;Nanlin Jin;Jingchen Wang;Jie Zhang;Ka Lok Man;Jeremy S. Smith;Yutao Yue

Year: 2024 | Conference Paper |

DDS-PLL Architecture for Adaptive Beam Steering

Gianfranco Avitabile;Ka Lok Man;Claudio Talarico

2024 21st International SoC Design Conference (ISOCC)
Year: 2024 | Conference Paper |
The path loss contribution in a modern telecommunications system is particularly critical due to the higher frequencies employed. However, this can be mitigated by improving the antenna section gain. Adaptive beam steering systems are an enabling technology to seek for this objective, by focusing the antenna pattern towards a given position in the space. In this work, we propose a novel architectu...Show More

DDS-PLL Architecture for Adaptive Beam Steering

Gianfranco Avitabile;Ka Lok Man;Claudio Talarico

Year: 2024 | Conference Paper |

Noise Canceling-FPPT for PV Systems Under Fluctuating Irradiance Conditions

Jiang Yuan;Zhongbei Tian;Jieming Ma;Ka Lok Man

2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Year: 2024 | Conference Paper |
The Flexible Power Point Tracking (FPPT) algorithm is vital in managing the active power output of grid-connected photovoltaic (PV) systems to align with grid require-ments. However, conventional FPPT algorithms encounter chal-lenges with tracking misjudgments under fluctuating irradiance conditions. To enhance control of photovoltaic systems in such fluctuating environments, this paper proposes a...Show More

Noise Canceling-FPPT for PV Systems Under Fluctuating Irradiance Conditions

Jiang Yuan;Zhongbei Tian;Jieming Ma;Ka Lok Man

Year: 2024 | Conference Paper |

Intellectual Property Data Trading Through NFTization

Ziyang Ji;Jie Zhang;Steven Guan;Ka Lok Man

2024 2nd International Conference on Big Data and Privacy Computing (BDPC)
Year: 2024 | Conference Paper |
Intellectual Property (IP) is a special type of data that has broad and high trading demands. Existing blockchain-based IP data trading schemes can promote the IP data trading market by removing the dependence on centralized platforms. However, the problem of trading fairness among sellers and buyers is more challenging compared to centralized approaches. This paper addresses the trading fairness ...Show More

Intellectual Property Data Trading Through NFTization

Ziyang Ji;Jie Zhang;Steven Guan;Ka Lok Man

Year: 2024 | Conference Paper |

A Cross-Dimensional Attention Discriminating Masked Method for Building Energy Time-Series Data Imputation

Jialong Pei;Jieming Ma;Ka Lok Man;Chun Zhao;Zhongbei Tian

2024 9th International Conference on Smart and Sustainable Technologies (SpliTech)
Year: 2024 | Conference Paper |
Missing data in building energy time series is a pervasive issue, which leads to data format inconsistencies and hindrances in energy prediction and management. The most common approach to addressing missing data in building energy data is through data imputation. The critical challenge of data imputation is ensuring that the imputed data closely approximates the real values. This paper proposes a...Show More

A Cross-Dimensional Attention Discriminating Masked Method for Building Energy Time-Series Data Imputation

Jialong Pei;Jieming Ma;Ka Lok Man;Chun Zhao;Zhongbei Tian

Year: 2024 | Conference Paper |

Digital Twin Integration With Data Fusion for Enhanced Photovoltaic System Management: A Systematic Literature Review

Jiang Yuan;Jieming Ma;Zhongbei Tian;Ka Lok Man

IEEE Open Journal of Power Electronics
Year: 2024 | Volume: 5 | Journal Article |
Cited by: Papers (1)
The integration of Digital Twin (DT) technology into the photovoltaic (PV) sector represents a significant advancement in energy management, optimization, servicing, and maintenance. This comprehensive literature review aims to enhance understanding, categorization, and adoption of DT and data fusion technologies within the PV industry to guide future research endeavors. The review categorizes PV ...Show More

Digital Twin Integration With Data Fusion for Enhanced Photovoltaic System Management: A Systematic Literature Review

Jiang Yuan;Jieming Ma;Zhongbei Tian;Ka Lok Man

Year: 2024 | Volume: 5 | Journal Article |

WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces

Shanliang Yao;Runwei Guan;Zhaodong Wu;Yi Ni;Zile Huang;Ryan Wen Liu;Yong Yue;Weiping Ding;Eng Gee Lim;Hyungjoon Seo;Ka Lok Man;Jieming Ma;Xiaohui Zhu;Yutao Yue

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 11 | Journal Article |
Cited by: Papers (7)
Autonomous driving on water surfaces plays an essential role in executing hazardous and time-consuming missions, such as maritime surveillance, survivor rescue, environmental monitoring, hydrography mapping and waste cleaning. This work presents WaterScenes, the first multi-task 4D radar-camera fusion dataset for autonomous driving on water surfaces. Equipped with a 4D radar and a monocular camera...Show More

WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces

Shanliang Yao;Runwei Guan;Zhaodong Wu;Yi Ni;Zile Huang;Ryan Wen Liu;Yong Yue;Weiping Ding;Eng Gee Lim;Hyungjoon Seo;Ka Lok Man;Jieming Ma;Xiaohui Zhu;Yutao Yue

Year: 2024 | Volume: 25, Issue: 11 | Journal Article |

RAV4D: A Radar-Audia-Visual Dataset for Indoor Multi - Person Tracking

Yi Zhou;Ningfei Song;Jieming Ma;Ka Lok Man;Miguel Lopez-Benitez;Limin Yu;Yutao Yue

2024 IEEE Radar Conference (RadarConf24)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Indoor multi-person tracking is a widely explored area of research. However, publicly available datasets are either oversimplified or provide only visual data. To fill this gap, our paper presents the RAV4D dataset, a novel multimodal dataset that includes data from radar, microphone arrays, and stereo cameras. This dataset is characterised by the provision of 3D positions, Euler angles and Dopple...Show More

RAV4D: A Radar-Audia-Visual Dataset for Indoor Multi - Person Tracking

Yi Zhou;Ningfei Song;Jieming Ma;Ka Lok Man;Miguel Lopez-Benitez;Limin Yu;Yutao Yue

Year: 2024 | Conference Paper |

Virtual Reality Based Shading Pattern Recognition and Interactive Global Maximum Power Point Tracking in Photovoltaic Systems

Kangshi Wang;Jieming Ma;Xiao Lu;Jingyi Wang;Ka Lok Man;Kaizhu Huang;Xiaowei Huang

Journal of Modern Power Systems and Clean Energy
Year: 2024 | Volume: 12, Issue: 6 | Journal Article |
The performance of photovoltaic (PV) systems is influenced by various factors, including atmospheric conditions, geographical locations, and spatial and temporal characteristics. Consequently, the optimization of PV systems relies heavily on the global maximum power point tracking (GMPPT) methods. In this paper, we adopt virtual reality (VR) technology to visualize PV entities and simulate their p...Show More

Virtual Reality Based Shading Pattern Recognition and Interactive Global Maximum Power Point Tracking in Photovoltaic Systems

Kangshi Wang;Jieming Ma;Xiao Lu;Jingyi Wang;Ka Lok Man;Kaizhu Huang;Xiaowei Huang

Year: 2024 | Volume: 12, Issue: 6 | Journal Article |

Real-Time Power Prediction for Bifacial PV Systems in Varied Shading Conditions: A Circuit-LSTM Approach Within a Digital Twin Framework

Dou Hong;Jieming Ma;Kangshi Wang;Ka Lok Man;Huiqing Wen;Prudence Wong

IEEE Journal of Photovoltaics
Year: 2024 | Volume: 14, Issue: 4 | Journal Article |
Cited by: Papers (1)
The prediction of bifacial photovoltaic (bPV) system performance under variable conditions has persistently challenged researchers and practitioners alike, largely due to the unstable and imprecise irradiance measurements and the extensive training processes required for machine learning-based methods. Addressing these issues, this study introduces an innovative digital twin system that integrates...Show More

Real-Time Power Prediction for Bifacial PV Systems in Varied Shading Conditions: A Circuit-LSTM Approach Within a Digital Twin Framework

Dou Hong;Jieming Ma;Kangshi Wang;Ka Lok Man;Huiqing Wen;Prudence Wong

Year: 2024 | Volume: 14, Issue: 4 | Journal Article |

Sim-to-Real Global Maximum Power Point Tracking With Domain Randomization and Adaptation for Photovoltaic Systems

Kangshi Wang;Jieming Ma;Ka Lok Man;Kaizhu Huang;Xiaowei Huang

IEEE Journal of Emerging and Selected Topics in Industrial Electronics
Year: 2024 | Volume: 5, Issue: 3 | Journal Article |
Cited by: Papers (1)
Simulations of photovoltaic (PV) systems help understand the nonlinear power–voltage characteristics in real-world atmospheric conditions. However, the gaps between simulation and real-world domain are usually significant due to the modeling errors. Therefore, we propose a simulation-to-reality (sim-to-real) global maximum power point tracking (GMPPT) method with domain randomization and adaptatio...Show More

Sim-to-Real Global Maximum Power Point Tracking With Domain Randomization and Adaptation for Photovoltaic Systems

Kangshi Wang;Jieming Ma;Ka Lok Man;Kaizhu Huang;Xiaowei Huang

Year: 2024 | Volume: 5, Issue: 3 | Journal Article |

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Shanliang Yao;Runwei Guan;Xiaoyu Huang;Zhuoxiao Li;Xiangyu Sha;Yong Yue;Eng Gee Lim;Hyungjoon Seo;Ka Lok Man;Xiaohui Zhu;Yutao Yue

IEEE Transactions on Intelligent Vehicles
Year: 2024 | Volume: 9, Issue: 1 | Journal Article |
Cited by: Papers (40)
Driven by deep learning techniques, perception technology in autonomous driving has developed rapidly in recent years, enabling vehicles to accurately detect and interpret surrounding environment for safe and efficient navigation. To achieve accurate and robust perception capabilities, autonomous vehicles are often equipped with multiple sensors, making sensor fusion a crucial part of the percepti...Show More

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Shanliang Yao;Runwei Guan;Xiaoyu Huang;Zhuoxiao Li;Xiangyu Sha;Yong Yue;Eng Gee Lim;Hyungjoon Seo;Ka Lok Man;Xiaohui Zhu;Yutao Yue

Year: 2024 | Volume: 9, Issue: 1 | Journal Article |

Patch-Based Multi-Level Attention Mechanism for Few-Shot Multi-Label Medical Image Classification

Mingyuan Li;Yichuan Wang;Junfeng Huang;Erick Purwanto;Ka Lok Man

2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)
Year: 2023 | Conference Paper |
Few-shot learning stands as a prominent trend in the field of computer vision, with substantial applications in vision tasks such as image classification and semantic segmentation. It has gained popularity due to its potential to reduce the demand for computer resources and its ability to lessen dependence on large datasets. However, generating high-performance models becomes challenging since thi...Show More

Patch-Based Multi-Level Attention Mechanism for Few-Shot Multi-Label Medical Image Classification

Mingyuan Li;Yichuan Wang;Junfeng Huang;Erick Purwanto;Ka Lok Man

Year: 2023 | Conference Paper |

Customizing SAM for histologic image segmentation of kidney biopsy by a detector approach: det-SAM

Xujia Ning;Yi Ni;Kaicheng Liang;Duan Wang;Erick Purwanto;Ka Lok Man

2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)
Year: 2023 | Conference Paper |
In recent years, large models have manifested unparalleled strengths in various fields and became a major trend in AI advancement. In the field of computer vision, the Segment Anything Model (SAM) has surpassed the majority of conventional models with its high generalization ability and profound understanding of the notion of “object”. However, despite its outstanding capacity in common semantic s...Show More

Customizing SAM for histologic image segmentation of kidney biopsy by a detector approach: det-SAM

Xujia Ning;Yi Ni;Kaicheng Liang;Duan Wang;Erick Purwanto;Ka Lok Man

Year: 2023 | Conference Paper |

Achelous: A Fast Unified Water-Surface Panoptic Perception Framework Based on Fusion of Monocular Camera and 4D mmWave Radar

Runwei Guan;Shanliang Yao;Xiaohui Zhu;Ka Lok Man;Eng Gee Lim;Jeremy Smith;Yong Yue;Yutao Yue

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2023 | Conference Paper |
Cited by: Papers (5)
Current perception models for different tasks usually exist in modular forms on Unmanned Surface Vehicles (USVs), which infer extremely slowly in parallel on edge devices, causing the asynchrony between perception results and USV position, and leading to error decisions of autonomous navigation. Compared with Unmanned Ground Vehicles (UGVs), the robust perception of USVs develops relatively slowly...Show More

Achelous: A Fast Unified Water-Surface Panoptic Perception Framework Based on Fusion of Monocular Camera and 4D mmWave Radar

Runwei Guan;Shanliang Yao;Xiaohui Zhu;Ka Lok Man;Eng Gee Lim;Jeremy Smith;Yong Yue;Yutao Yue

Year: 2023 | Conference Paper |

Bioinspired Solution-processed Artificial Synaptic Thin-Film Transistor

J Y Li;G X Sun;C Zhao;K L Man;S Lam;X Tu

2023 20th International SoC Design Conference (ISOCC)
Year: 2023 | Conference Paper |
Our work proposes an artificial synaptic transistor fabricated with aqueous solution process. The device is in thin-film transistor structure and can potentially emulate synaptic behavior (Long-Term Potentiation - LTP) via charge transfer mechanism. The device is a potential candidate to build neuromorphic computing hardware.Show More

Bioinspired Solution-processed Artificial Synaptic Thin-Film Transistor

J Y Li;G X Sun;C Zhao;K L Man;S Lam;X Tu

Year: 2023 | Conference Paper |

A Simple Active Transponder for X-band SAR Satellite Applications

Gianfranco Avitabile;Roberto Cancelli;Antonello Florio;Ka Lok Man;Giuseppe Coviello

2023 20th International SoC Design Conference (ISOCC)
Year: 2023 | Conference Paper |
In this work, we propose the design of an active reflector for X-band Synthetic Aperture Radar (SAR) satellite calibration. The target requirements are low-cost and low-power consumption to be a valid alternative for passive reflectors. The amplifier has a multistage common emitter topology. The radiating section deploys a pair of 4x4 rectangular arrays. Simulations prove the device to reach a Rad...Show More

A Simple Active Transponder for X-band SAR Satellite Applications

Gianfranco Avitabile;Roberto Cancelli;Antonello Florio;Ka Lok Man;Giuseppe Coviello

Year: 2023 | Conference Paper |

Image Radar Point Cloud Segmentation with Segment Anything Model

Yu Du;Jeremy S. Smith;Ka Lok Man;Eng Gee Lim

2023 20th International SoC Design Conference (ISOCC)
Year: 2023 | Conference Paper |
Radar point clouds are a rich source of information for various applications. However, clustering or classification of radar point clouds is challenging due to their sparsity, noise, and ambiguity. In this paper, we propose a novel approach that leverages the Segment Anything Model (SAM), a segmentation model introduced by Meta AI that can produce high-quality segment masks from 2D images, to pred...Show More

Image Radar Point Cloud Segmentation with Segment Anything Model

Yu Du;Jeremy S. Smith;Ka Lok Man;Eng Gee Lim

Year: 2023 | Conference Paper |

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