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Guang Tan - IEEE Xplore Author Profile
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Guang Tan

Also published under: G. Tan

Publications
55
Citations
852
Publications by Year
20052025
Co-Authors:
Show All Co-Authors (74)
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Guang Tan

Also published under: G. Tan

Affiliation

School of Intelligent Systems Engineering
Shenzhen Campus of Sun Yat-sen University
Shenzhen, China

Publication Topics

Biography

Guang Tan received the BS degree from the Chongqing University of Posts and Telecommunications, China, in 1999, the MS degree from the Huazhong University of Science and Technology, China, in 2002, and the PhD degree in computer science from the University of Warwick, United Kingdom, in 2007. He is currently an associate researcher at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China, where he works in the area of distributed systems and networks. From 2007 to 2010, he was a postdoctoral researcher at INRIA-Rennes, France. He is a member of the IEEE.(Based on document published on 22 October 2012).
Publications
55
Citations
852
Publications by Year
20052025
Co-Authors:
Show All Co-Authors (74)
Author's Published Works

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Edge Assisted Low-Latency Cooperative BEV Perception With Progressive State Estimation

Yuhan Lin;Haoran Xu;Zhimeng Yin;Guang Tan

IEEE Transactions on Mobile Computing
Year: 2025 | Volume: 24, Issue: 4 | Journal Article |
Modern intelligent vehicles (IVs) are equipped with a variety of sensors and communication modules, empowering Advanced Driver Assistance Systems (ADAS) and enabling inter-vehicle connectivity. This paper focuses on multi-vehicle cooperative perception, with a primary objective of achieving low latency. The task involves nearby cooperative vehicles sending their camera data to an edge server, whic...Show More

Edge Assisted Low-Latency Cooperative BEV Perception With Progressive State Estimation

Yuhan Lin;Haoran Xu;Zhimeng Yin;Guang Tan

Year: 2025 | Volume: 24, Issue: 4 | Journal Article |

PCTrack: Accurate Object Tracking for Live Video Analytics on Resource-Constrained Edge Devices

Xinyi Zhang;Haoran Xu;Chenyun Yu;Guang Tan

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2024 | Early Access Article |
The task of live video analytics relies on real-time object tracking that typically involves computationally expensive deep neural network (DNN) models. In practice, it has become essential to process video data on edge devices deployed near the cameras. However, these edge devices often have very limited computing resources and thus suffer from poor tracking accuracy. Through a measurement study,...Show More

PCTrack: Accurate Object Tracking for Live Video Analytics on Resource-Constrained Edge Devices

Xinyi Zhang;Haoran Xu;Chenyun Yu;Guang Tan

Year: 2024 | Early Access Article |

Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction

Di Wen;Haoran Xu;Zhaocheng He;Zhe Wu;Guang Tan;Peixi Peng

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2024 | Conference Paper |
Multi-agent trajectory prediction is essential in autonomous driving, risk avoidance, and traffic flow control. However, the heterogeneous traffic density on interactions, which caused by physical laws, social norms and so on, is often overlooked in existing methods. When the density varies, the number of agents involved in interactions and the corresponding interaction probability change dynami-c...Show More

Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction

Di Wen;Haoran Xu;Zhaocheng He;Zhe Wu;Guang Tan;Peixi Peng

Year: 2024 | Conference Paper |

Resolving Loop Closure Confusion in Repetitive Environments for Visual SLAM through AI Foundation Models Assistance

Hongzhou Li;Sijie Yu;Shengkai Zhang;Guang Tan

2024 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2024 | Conference Paper |
In visual SLAM (VSLAM) systems, loop closure plays a crucial role in reducing accumulated errors. However, VSLAM systems relying on low-level visual features often suffer from the problem of perceptual confusion in repetitive environments, where scenes in different locations are incorrectly identified as the same. Existing work has attempted to introduce object-level features or artificial landmar...Show More

Resolving Loop Closure Confusion in Repetitive Environments for Visual SLAM through AI Foundation Models Assistance

Hongzhou Li;Sijie Yu;Shengkai Zhang;Guang Tan

Year: 2024 | Conference Paper |

InterCoop: Spatio-Temporal Interaction Aware Cooperative Perception for Networked Vehicles

Wentao Wang;Haoran Xu;Guang Tan

2024 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2024 | Conference Paper |
In autonomous driving, cooperative perception through vehicle-to-vehicle (V2V) communication is considered crucial for enhancing traffic safety and efficiency. However, existing methods often simplify the handling of perception data from multiple vehicles. In these approaches, the egovehicle aggregates observations from all neighboring connected cooperative vehicles (CCV), without considering the ...Show More

InterCoop: Spatio-Temporal Interaction Aware Cooperative Perception for Networked Vehicles

Wentao Wang;Haoran Xu;Guang Tan

Year: 2024 | Conference Paper |

Enhancing Vision and Language Navigation With Prompt-Based Scene Knowledge

Zhaohuan Zhan;Jinghui Qin;Wei Zhuo;Guang Tan

IEEE Transactions on Circuits and Systems for Video Technology
Year: 2024 | Volume: 34, Issue: 10 | Journal Article |
Cited by: Papers (1)
A challenging task in embodied artificial intelligence is enabling the robot to carry out a navigational task following natural language instruction. In the task, the navigator needs to understand objects, directions, as well as room types, which serve as landmarks for navigation. Although it is easy to encode objects and directions with an external encoder like an object detector, current navigat...Show More

Enhancing Vision and Language Navigation With Prompt-Based Scene Knowledge

Zhaohuan Zhan;Jinghui Qin;Wei Zhuo;Guang Tan

Year: 2024 | Volume: 34, Issue: 10 | Journal Article |

Graph Contrastive Learning With Adaptive Proximity-Based Graph Augmentation

Wei Zhuo;Guang Tan

IEEE Transactions on Neural Networks and Learning Systems
Year: 2024 | Volume: 35, Issue: 10 | Journal Article |
Cited by: Papers (2)
Graph neural networks (GNNs) have been successful in a variety of graph-based applications. Recently, it is shown that capturing long-range relationships between nodes helps improve the performance of GNNs. The phenomenon is mostly confirmed in a supervised learning setting. In this article, inspired by contrastive learning (CL), we propose an unsupervised learning pipeline, in which different typ...Show More

Graph Contrastive Learning With Adaptive Proximity-Based Graph Augmentation

Wei Zhuo;Guang Tan

Year: 2024 | Volume: 35, Issue: 10 | Journal Article |

PIT: Progressive Interaction Transformer for Pedestrian Crossing Intention Prediction

Yuchen Zhou;Guang Tan;Rui Zhong;Yaokun Li;Chao Gou

IEEE Transactions on Intelligent Transportation Systems
Year: 2023 | Volume: 24, Issue: 12 | Journal Article |
Cited by: Papers (23)
For autonomous driving, one of the major challenges is to predict pedestrian crossing intention in ego-view. Pedestrian intention depends not only on their intrinsic goals but also on the stimulation of surrounding traffic elements. Considering the influence of other traffic elements on pedestrian intention, recent work introduced more traffic element information into the model to successfully imp...Show More

PIT: Progressive Interaction Transformer for Pedestrian Crossing Intention Prediction

Yuchen Zhou;Guang Tan;Rui Zhong;Yaokun Li;Chao Gou

Year: 2023 | Volume: 24, Issue: 12 | Journal Article |

CurveLight: An Accurate and Practical Light Positioning System

Shangyao Yan;Zhimeng Yin;Guang Tan

IEEE/ACM Transactions on Networking
Year: 2023 | Volume: 31, Issue: 5 | Journal Article |
This paper presents CurveLight, an accurate and practical light positioning system. In CurveLight, the signal transmitter includes an infrared LED, covered by a hemispherical and rotatable shade, and the receiver detects the light signals with a photosensitive diode. When the shade is rotating, the transmitter generates a unique sequence of light signals for each point in the covered space. The ma...Show More

CurveLight: An Accurate and Practical Light Positioning System

Shangyao Yan;Zhimeng Yin;Guang Tan

Year: 2023 | Volume: 31, Issue: 5 | Journal Article |

SatProbe: Low-Energy and Fast Indoor/Outdoor Detection via Satellite Existence Sensing

Kongyang Chen;Guang Tan

IEEE Transactions on Mobile Computing
Year: 2021 | Volume: 20, Issue: 3 | Journal Article |
Cited by: Papers (4)
Indoor-outdoor (IO) detection provides very useful hints for a mobile device to perform context-aware services. To that end, GPS presents a viable solution by relating a device's IO status with its positioning performance, which depends on the device's exposure to the open sky. This approach, however, is prohibitively expensive in terms of energy consumption and response time. Recent work has thus...Show More

SatProbe: Low-Energy and Fast Indoor/Outdoor Detection via Satellite Existence Sensing

Kongyang Chen;Guang Tan

Year: 2021 | Volume: 20, Issue: 3 | Journal Article |

Modeling and Improving the Energy Performance of GPS Receivers for Location Services

Kongyang Chen;Guang Tan;Jiannong Cao;Mingming Lu;Xiaopeng Fan

IEEE Sensors Journal
Year: 2020 | Volume: 20, Issue: 8 | Journal Article |
Cited by: Papers (14)
Integrated GPS receivers have become a basic module in today's mobile devices. While serving as the cornerstone for location based services, GPS modules have a serious battery drain problem due to high computation load. This paper aims to reveal the impact of key software parameters on GPS energy consumption, by establishing an energy model for a standard GPS receiver architecture as found in both...Show More

Modeling and Improving the Energy Performance of GPS Receivers for Location Services

Kongyang Chen;Guang Tan;Jiannong Cao;Mingming Lu;Xiaopeng Fan

Year: 2020 | Volume: 20, Issue: 8 | Journal Article |

Slide: Towards Fast and Accurate Mobile Fingerprinting for Wi-Fi Indoor Positioning Systems

Kongyang Chen;Chen Wang;Zhimeng Yin;Hongbo Jiang;Guang Tan

IEEE Sensors Journal
Year: 2018 | Volume: 18, Issue: 3 | Journal Article |
Cited by: Papers (37)
The deployment of Wi-Fi fingerprint-based indoor positioning systems is severely hindered by the lack of an efficient and low-cost way to establish a signal fingerprint database. In this paper, we present a novel fingerprinting method, slide, that can collect fingerprints in a fast and accurate way. Slide uses a commodity flashlight and a smartphone to achieve linear positioning. This allows autom...Show More

Slide: Towards Fast and Accurate Mobile Fingerprinting for Wi-Fi Indoor Positioning Systems

Kongyang Chen;Chen Wang;Zhimeng Yin;Hongbo Jiang;Guang Tan

Year: 2018 | Volume: 18, Issue: 3 | Journal Article |

Improving the energy performance of GPS receivers for location tracking applications

Kongyang Chen;Guang Tan;Mingming Lu

2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Year: 2017 | Conference Paper |
Cited by: Papers (5)
Integrated GPS receivers have become a basic module in location based services, such as position sharing, wild animal monitoring, and location tracking. However, GPS modules have a serious battery drain problem due to their high computation load. This paper aims to reveal the impact of key software parameters on GPS energy consumption, by establishing an energy model for a standard GPS receiver ar...Show More

Improving the energy performance of GPS receivers for location tracking applications

Kongyang Chen;Guang Tan;Mingming Lu

Year: 2017 | Conference Paper |

SatProbe: Low-energy and fast indoor/outdoor detection based on raw GPS processing

Kongyang Chen;Guang Tan

IEEE INFOCOM 2017 - IEEE Conference on Computer Communications
Year: 2017 | Conference Paper |
Cited by: Papers (18)
Indoor-outdoor (IO) detection provides very useful hints for a mobile device to perform context-aware services. To that end, GPS presents a viable solution by relating a device's IO status with its positioning performance, which depends on the device's exposure to the open sky. This approach, however, is prohibitively expensive in terms of energy consumption and response time. Recent work has thus...Show More

SatProbe: Low-energy and fast indoor/outdoor detection based on raw GPS processing

Kongyang Chen;Guang Tan

Year: 2017 | Conference Paper |

3-D BLE Indoor Localization Based on Denoising Autoencoder

Chao Xiao;Daiqin Yang;Zhenzhong Chen;Guang Tan

IEEE Access
Year: 2017 | Volume: 5 | Journal Article |
Cited by: Papers (99)
Bluetooth low energy (BLE)-based indoor localization has attracted increasing interests for its low-cost, low-power consumption, and ubiquitous availability in mobile devices. In this paper, a novel denoising autoencoder-based BLE indoor localization (DABIL) method is proposed to provide high-performance 3-D positioning in large indoor places. A deep learning model, called denoising autoencoder, i...Show More

3-D BLE Indoor Localization Based on Denoising Autoencoder

Chao Xiao;Daiqin Yang;Zhenzhong Chen;Guang Tan

Year: 2017 | Volume: 5 | Journal Article |

HotGraph: Efficient Asynchronous Processing for Real-World Graphs

Yu Zhang;Xiaofei Liao;Hai Jin;Lin Gu;Guang Tan;Bing Bing Zhou

IEEE Transactions on Computers
Year: 2017 | Volume: 66, Issue: 5 | Journal Article |
Cited by: Papers (21)
For large-scale graph analysis on a single PC, asynchronous processing methods are known to converge more quickly than the synchronous approach, because of more efficient propagation of vertices state. However, current asynchronous methods are still very suboptimal in propagating state across different graph partitions. This presents a bottleneck for cross-partition state update and slows down the...Show More

HotGraph: Efficient Asynchronous Processing for Real-World Graphs

Yu Zhang;Xiaofei Liao;Hai Jin;Lin Gu;Guang Tan;Bing Bing Zhou

Year: 2017 | Volume: 66, Issue: 5 | Journal Article |

Enhancing the Malloc System with Pollution Awareness for Better Cache Performance

Xiaofei Liao;Rentong Guo;Hai Jin;Jianhui Yue;Guang Tan

IEEE Transactions on Parallel and Distributed Systems
Year: 2017 | Volume: 28, Issue: 3 | Journal Article |
Cited by: Papers (4)
Cache pollution, by which weak-locality data unduly replaces strong-locality data, may notably degrade application performance in a shared-cache multicore machine. This paper presents NightWatch, a cache management subsystem that provides general, transparent and low-overhead pollution control to applications. NightWatch is based on the observation that data within the same memory chunk or chunks ...Show More

Enhancing the Malloc System with Pollution Awareness for Better Cache Performance

Xiaofei Liao;Rentong Guo;Hai Jin;Jianhui Yue;Guang Tan

Year: 2017 | Volume: 28, Issue: 3 | Journal Article |

SAE: Toward Efficient Cloud Data Analysis Service for Large-Scale Social Networks

Yu Zhang;Xiaofei Liao;Hai Jin;Guang Tan

IEEE Transactions on Cloud Computing
Year: 2017 | Volume: 5, Issue: 3 | Journal Article |
Cited by: Papers (8)
Social network analysis is used to extract features of human communities and proves to be very instrumental in a variety of scientific domains. The dataset of a social network is often so large that a cloud data analysis service, in which the computation is performed on a parallel platform in the could, becomes a good choice for researchers not experienced in parallel programming. In the cloud, a ...Show More

SAE: Toward Efficient Cloud Data Analysis Service for Large-Scale Social Networks

Yu Zhang;Xiaofei Liao;Hai Jin;Guang Tan

Year: 2017 | Volume: 5, Issue: 3 | Journal Article |

A Unified Metric for Correlated Diversity in Wireless Networks

Shuai Wang;Anas Basalamah;Song Min Kim;Guang Tan;Yunhuai Liu;Tian He

IEEE Transactions on Wireless Communications
Year: 2016 | Volume: 15, Issue: 9 | Journal Article |
Cited by: Papers (14)
Recent pioneer work has shown that packet receptions on adjacent links are correlated, which contradicts the long held assumption that wireless links are statistically independent. Since wireless link correlation affects a wide range of protocol designs, it is essential to quantify the impact generically. In particular, this paper focuses on a unified transmission cost metric for diversity-based r...Show More

A Unified Metric for Correlated Diversity in Wireless Networks

Shuai Wang;Anas Basalamah;Song Min Kim;Guang Tan;Yunhuai Liu;Tian He

Year: 2016 | Volume: 15, Issue: 9 | Journal Article |

LiveRender: A Cloud Gaming System Based on Compressed Graphics Streaming

Xiaofei Liao;Li Lin;Guang Tan;Hai Jin;Xiaobin Yang;Wei Zhang;Bo Li

IEEE/ACM Transactions on Networking
Year: 2016 | Volume: 24, Issue: 4 | Journal Article |
Cited by: Papers (31)
In cloud gaming systems, the game program runs at servers in the cloud, while clients access game services by sending input events to the servers and receiving game scenes via video streaming. In this paradigm, servers are responsible for all performance-intensive operations, and thus suffer from poor scalability. An alternative paradigm is called graphics streaming, in which graphics commands and...Show More

LiveRender: A Cloud Gaming System Based on Compressed Graphics Streaming

Xiaofei Liao;Li Lin;Guang Tan;Hai Jin;Xiaobin Yang;Wei Zhang;Bo Li

Year: 2016 | Volume: 24, Issue: 4 | Journal Article |

Trap Array: A Unified Model for Scalability Evaluation of Geometric Routing

Guang Tan;Zhimeng Yin;Hongbo Jiang

IEEE/ACM Transactions on Networking
Year: 2016 | Volume: 24, Issue: 1 | Journal Article |
Scalable routing for large-scale wireless networks needs to find near shortest paths with low state on each node, preferably sublinear with the network size. Two approaches are considered promising toward this goal: compact routing and geometric routing (geo-routing). To date, the two lines of research have been largely independent, perhaps because of the distinct principles they follow. In partic...Show More

Trap Array: A Unified Model for Scalability Evaluation of Geometric Routing

Guang Tan;Zhimeng Yin;Hongbo Jiang

Year: 2016 | Volume: 24, Issue: 1 | Journal Article |

CorLayer: A Transparent Link Correlation Layer for Energy-Efficient Broadcast

Shuai Wang;Song Min Kim;Yunhuai Liu;Guang Tan;Tian He

IEEE/ACM Transactions on Networking
Year: 2015 | Volume: 23, Issue: 6 | Journal Article |
Cited by: Papers (12)
Recent work has shown that wireless links are not independent, and that transmissions from a transmitter to multiple receivers are correlated. This finding has profound implications for the performance of network protocols such as broadcast, multicast, opportunistic routing, and network coding. In this paper, we show how link correlation can significantly impact broadcast. We present the design an...Show More

CorLayer: A Transparent Link Correlation Layer for Energy-Efficient Broadcast

Shuai Wang;Song Min Kim;Yunhuai Liu;Guang Tan;Tian He

Year: 2015 | Volume: 23, Issue: 6 | Journal Article |

Inc-Part: Incremental Partitioning for Load Balancing in Large-Scale Behavioral Simulations

Yu Zhang;Xiaofei Liao;Hai Jin;Guang Tan;Geyong Min

IEEE Transactions on Parallel and Distributed Systems
Year: 2015 | Volume: 26, Issue: 7 | Journal Article |
Cited by: Papers (7)
Large-scale behavioral simulations are widely used to study real-world multi-agent systems. Such programs normally run in discrete time-steps or ticks, with simulated space decomposed into domains that are distributed over a set of workers to achieve parallelism. A distinguishing feature of behavioral simulations is their frequent and high-volume group migration, the phenomenon in which simulated ...Show More

Inc-Part: Incremental Partitioning for Load Balancing in Large-Scale Behavioral Simulations

Yu Zhang;Xiaofei Liao;Hai Jin;Guang Tan;Geyong Min

Year: 2015 | Volume: 26, Issue: 7 | Journal Article |

OnionMap: A Scalable Geometric Addressing and Routing Scheme for 3D Sensor Networks

Kechao Cai;Zhimeng Yin;Hongbo Jiang;Guang Tan;Peng Guo;Chonggang Wang;Bo Li

IEEE Transactions on Wireless Communications
Year: 2015 | Volume: 14, Issue: 1 | Journal Article |
Cited by: Papers (15)
Geometric routing or geo-routing has been shown as a promising approach to scalable routing in sensor networks. Despite its success in 2-D networks, very few designs are available for 3-D networks that can ensure short routes using only small per-node state, without incurring high load imbalance on the nodes. In this paper, we propose a novel addressing and routing scheme, i.e., OnionMap, for 3-D ...Show More

OnionMap: A Scalable Geometric Addressing and Routing Scheme for 3D Sensor Networks

Kechao Cai;Zhimeng Yin;Hongbo Jiang;Guang Tan;Peng Guo;Chonggang Wang;Bo Li

Year: 2015 | Volume: 14, Issue: 1 | Journal Article |

Connectivity-Based Segmentation in Large-Scale 2-D/3-D Sensor Networks: Algorithm and Applications

Hongbo Jiang;Tianlong Yu;Chen Tian;Guang Tan;Chonggang Wang

IEEE/ACM Transactions on Networking
Year: 2015 | Volume: 23, Issue: 1 | Journal Article |
Cited by: Papers (10)
Efficient sensor network design requires a full understanding of the geometric environment in which sensor nodes are deployed. In practice, a large-scale sensor network often has a complex and irregular topology, possibly containing obstacles/holes. Convex network partitioning, also known as convex segmentation, is a technique to divide a network into convex regions in which traditional algorithms...Show More

Connectivity-Based Segmentation in Large-Scale 2-D/3-D Sensor Networks: Algorithm and Applications

Hongbo Jiang;Tianlong Yu;Chen Tian;Guang Tan;Chonggang Wang

Year: 2015 | Volume: 23, Issue: 1 | Journal Article |

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