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Peng Sun

Assistant Professor of Data Science at Duke Kunshan University
DKU Faculty

Selected Publications


Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system

Journal Article Expert Systems with Applications · September 15, 2024 The development of modern manufacturing has raised greater demands on the accuracy, response speed, and operating cost of industrial accident warnings. Compared to conventional contact sensors, surveillance cameras can contactlessly capture spatial–tempora ... Full text Cite

The evolution of detection systems and their application for intelligent transportation systems: From solo to symphony

Journal Article Computer Communications · September 1, 2024 The emergence of autonomous driving technologies has been significantly influenced by advancements in perception systems. Traditional single-agent detection models, while effective in certain scenarios, exhibit limitations in complex environments, necessit ... Full text Cite

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models

Journal Article ACM Computing Surveys · July 31, 2024 Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance systems, enabling the temporal or spatial identification of anomalous events within videos. While existing reviews predominantly concentrate on conventional unsupe ... Full text Cite

LEHA: A novel lightweight efficient and highly accurate lane departure warning system

Journal Article Multimedia Tools and Applications · March 1, 2024 As one of the most indispensable means of transportation in modern society, vehicles guarantee our daily commuting and logistics transportation. However, with the increasing number of vehicles, vehicles have also caused increasingly serious traffic safety ... Full text Cite

AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System

Journal Article IEEE Transactions on Industrial Informatics · February 1, 2024 As essential tools for industry safety protection, automatic video anomaly detection systems (AVADS) are designed to detect anomalous events of concern in surveillance videos. Existing VAD methods lack effective exploration of the prototypical appearance a ... Full text Cite

A novel hierarchical distributed vehicular edge computing framework for supporting intelligent driving

Journal Article Ad Hoc Networks · February 1, 2024 Recently, various infrastructure-assisted or onboard driving assistant applications have been proposed as a component of intelligent transportation systems (ITS) to improve the transportation system's efficiency and release public concern about road safety ... Full text Cite

Efficient Vehicular Collaborative Perception Based on Saptial-Temporal Feature Compression

Journal Article IEEE Transactions on Vehicular Technology · January 1, 2024 In collaborative perception, autonomous vehicles with limited perception capabilities can communicate with each other to achieve a more holographic and effective perception result. Real-world communication systems, however, are usually constrained by wirel ... Full text Cite

What2comm: Towards Communication-efficient Collaborative Perception via Feature Decoupling

Conference MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia · October 26, 2023 Multi-agent collaborative perception has received increasing attention recently as an emerging application in driving scenarios. Despite advancements in previous approaches, challenges remain due to redundant communication patterns and vulnerable collabora ... Full text Cite

Robust COVID-19 vaccination control in a multi-city dynamic transmission network: A novel reinforcement learning-based approach

Journal Article Journal of Network and Computer Applications · October 1, 2023 Vaccines are a highly effective intervention in mitigating the COVID-19 pandemic, but with limited resources, an optimal vaccine allocation plan is essential for reducing the number of infections. However, most previous studies on vaccine allocation strate ... Full text Cite

A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks

Journal Article Computer Communications · September 1, 2023 The efficient and smooth operation of the transportation system is crucial for ensuring the normal functioning of modern society and people's daily lives. However, the increase in vehicles has led to more frequent and severe traffic congestion due to the l ... Full text Cite

Average Age Upon Decisions of Wireless Networks with Truncated HARQ in the Finite Blocklength Regime

Conference MSWiM 2022 - Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems · October 24, 2022 We consider an update-and-decide IoT-based wireless network, where information packets generated from dual sources are co-stored in the transmitter's buffer, while decisions are made at the destination. Two practical assumptions about the communications be ... Full text Cite

18th ACM Q2SWinet Chairs' Welcome

Conference Q2SWinet 2022 - Proceedings of the 18th ACM International Symposium on QoS and Security for Wireless and Mobile Networks · October 24, 2022 Full text Cite

A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow Prediction

Conference MSWiM 2022 - Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems · October 24, 2022 How to effectively improve the efficiency of vehicle traffic in the road system will play an essential role in improving the operational efficiency of the traffic system while eliminating the energy consumption and environmental pollution problems caused i ... Full text Cite

A novel cloud-based traffic aware data routing protocol for smart connected vehicles

Journal Article Computing · July 1, 2022 In recent years, increasing concern about safe driving has stimulated the development of intelligent transportation systems (ITS). One of the critical technologies for realizing ITS is sharing traffic information between vehicles in real-time. Due to the i ... Full text Cite

A Novel Reinforcement Learning-Based Cooperative Traffic Signal System Through Max-Pressure Control

Journal Article IEEE Transactions on Vehicular Technology · February 1, 2022 Improving the efficiency of traffic signal control is an effective way to alleviate traffic congestion at signalized intersections. To achieve effective management of the system-wide traffic flows, current research tends to focus on applying reinforcement ... Full text Cite

FECO: An Efficient Deep Reinforcement Learning-Based Fuel-Economic Traffic Signal Control Scheme

Journal Article IEEE Transactions on Sustainable Computing · January 1, 2022 Vehicle fuel efficiency (VFE) has a pivotal role in solving energy shortage issue due to the increasing global demand for energy. The high frequency of go-stop movements and long waiting times at intersections significantly reduce the VFE. Such negative im ... Full text Cite

A Novel Two-Mode QoS-Aware Mobile Charger Scheduling Method for Achieving Sustainable Wireless Sensor Networks

Journal Article IEEE Transactions on Sustainable Computing · January 1, 2022 For developing a sustainable wireless sensor network (WSN), wireless energy charging and mobile data collection are two promising techniques for enhancing energy efficiency and achieving semi-permanent operation time of WSNs. Currently, many energy-aware m ... Full text Cite

Towards A Practical Pedestrian Detection Method for Supporting Autonomous Driving

Conference IEEE International Conference on Communications · January 1, 2022 In recent years, people have paid more and more attention to the operational efficiency of the transportation system and the corresponding traffic safety and energy consumption issues. As a possible solution, with the improvement of vehicle detection capab ... Full text Cite

A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network

Conference IEEE International Conference on Communications · January 1, 2022 How to effectively improve the traffic efficiency of the road network plays a crucial role in ensuring the regular operation of modern society. This is also a key concern in the field of intelligent transportation systems. As the basis for formulating traf ... Full text Cite

Reliability-Oriented Design Framework in NOMA-Assisted Mobile Edge Computing

Journal Article IEEE Access · January 1, 2022 In this paper, we consider mission-critical task offloading in the non-orthogonal multiple access (NOMA)-assisted mobile edge computing (MEC) networks, where local information collected from multiple local devices are processed at the MEC node. The process ... Full text Cite