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Shiqing Ma - IEEE Xplore Author Profile

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Author details

Shiqing Ma

Publications

28

Citations

405

Publications by Year

20162025

Co-Authors:

Yousra AaferEhsan AbbasnejadMohannad AlhanahnahShengwei AnMichael Backes

Show All Co-Authors (71)

Shiqing Ma

Affiliation

Manning College of Information & Computer Sciences

University of Massachusetts

Amherst, MA, USA

Publication Topics

Threat Model,
Attack Success Rate,
Target Label,
Clean Samples,
Adversarial Training,
Backdoor Attacks,
Input Samples,
Latent Space,
Target Class,
Training Data,
Activation Function,
Adversarial Attacks

Biography

Shiqing Ma received the BE degree from Shanghai Jiao Tong University, in 2013, and the PhD degree in computer science from Purdue University, in 2019. He is an assistant professor with the Department of Computer Science, Rutgers University, the State University of New Jersey. His research interests include focuses on program analysis, software and system security, adversarial machine learning, and software engineering. He is the recipient of Distinguished Paper Awards from NDSS 2016 and USENIX Security 2017.(Based on document published on 22 December 2022).

Publications

28

Citations

405

Publications by Year

20162025

Co-Authors:

Yousra Aafer
Ehsan Abbasnejad
Mohannad Alhanahnah
Shengwei An
Michael Backes

Show All Co-Authors (71)

Author's Published Works

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Showing 1-25 of 42 results

Conferences (40)

Journals (2)

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Wenhong Wei(41)
Qingxia Li(9)
Wenjun Xiao(9)
Ming Tao(5)
Yong Qin(4)
School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China(11)
Department of Computer Science, South China University of Technology, Guangzhou, China(11)
School of Computer, Dongguan University of Technology, Dongguan, China(7)
School of Artificial Intelligence, Dongguan City University, Dongguan, China(5)
Engineering & Technology Institute, Dongguan University of Technology, Dongguan, China(3)
2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)(4)
2008 First International Conference on Intelligent Networks and Intelligent Systems(2)
2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies(2)
2023 China Automation Congress (CAC)(2)
2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)(2)
IEEE(42)
Xi'an, China(6)
Kuching, Malaysia(4)
Qingdao, China(4)
Chongqing, China(2)
Dalian, China(2)
Basic Network(6)
Time Complexity(6)
Fault-tolerant(5)
Local Optimum(5)
Multi-objective Optimization(5)

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Siamese Multi-View Masked Autoencoders for Skeleton-Based Action Representation Learning

Ronggui Liu;Ziliang Ren;Wenhong Wei;Ziyang Zheng;Qieshi Zhang

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

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In recent years, supervised skeleton-based action recognition has achieved notable results. However, these methods rely on labeled data, which is both resource-intensive and time-demanding to obtain. Self-supervised methods do not require data labels and has attracted considerable interest within the academic community. Masked Autoencoders are a self-supervised learning paradigm, and Siamese netwo...Show More

Siamese Multi-View Masked Autoencoders for Skeleton-Based Action Representation Learning

Ronggui Liu;Ziliang Ren;Wenhong Wei;Ziyang Zheng;Qieshi Zhang

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2024 | Conference Paper |

Competitive Swarm Optimizer with Momentum for Numerical Optimization

Shuxian Zheng;Yuhui Zhang;Wenhong Wei

2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)

Year: 2024 | Conference Paper |

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Competitive swarm optimizer (CSO) is a powerful variant of particle swarm optimization (PSO) that has been demonstrated to be effective in solving large-scale optimization problems. In this paper, we propose Momentum-incorporated Competitive Swarm Optimizer (MOCSO), which extends CSO by introducing a momentum mechanism inspired by gradient-based optimization algorithms. The key idea behind MOCSO i...Show More

Competitive Swarm Optimizer with Momentum for Numerical Optimization

Shuxian Zheng;Yuhui Zhang;Wenhong Wei

2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)

Year: 2024 | Conference Paper |

A Novel Reinforcement Learning Multi-Objective Community Detection Algorithm with $\epsilon$ -Gradient-Greedy Strategy

Wenhong Wei;Yi Meng;Qingxia Li

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

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Accurately categorizing communities within a social network is a crucial aspect of community detection, carrying significant practical relevance. To achieve a higher quality of community division, we combine reinforcement learning methods to learn the distribution characteristics of community nodes during the iteration process of the algorithm, which guides the nodes to migrate to other communitie...Show More

A Novel Reinforcement Learning Multi-Objective Community Detection Algorithm with $\epsilon$-Gradient-Greedy Strategy

Wenhong Wei;Yi Meng;Qingxia Li

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

Augmenting Particle Swarm Optimization with Simulated Annealing and Dimensional Learning for UAVs Path Planning

Jie Wei;Yuhui Zhang;Wenhong Wei

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

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In order to mitigate premature convergence commonly faced by conventional Particle Swarm Optimization (PSO) and enhance the algorithm's global search cparticles can swiftly navigatingapability in UAV path planning, this paper proposes a simulated annealing and dimensional learning augmented particle swarm optimization algorithm (SDPSO). Firstly, learning factors and inertia weights are dynamically...Show More

Augmenting Particle Swarm Optimization with Simulated Annealing and Dimensional Learning for UAVs Path Planning

Jie Wei;Yuhui Zhang;Wenhong Wei

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

Clustering-based Co-evolutionary Crow Search Algorithm for Feature Selection in High-dimensional Data

Huan Li;Zhipeng Chen;Wenhong Wei

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

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The present data collection techniques can generate thousands or even more features in a dataset. However, an excessive number of redundant features can negatively impact the learning speed and classification performance of machine learning models. Selecting important features from high-dimensional data is a challenge. To address this challenge, We propose a cooperative evolutionary algorithm base...Show More

Clustering-based Co-evolutionary Crow Search Algorithm for Feature Selection in High-dimensional Data

Huan Li;Zhipeng Chen;Wenhong Wei

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

Self-Attention Residual Connection and Graph Neural Hawkes Bilayer Model for Session-Based Recommendation

Huan Li;Senpeng Chen;Wenhong Wei;Ani Dong;Qingxia Li

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

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Session-based recommendation aims to make recommendations for anonymous users based on limited session data. However, traditional session-based recommendation methods fail to capture complex item transitions and simply represent the user's last clicked item as a short-term preference, neglecting the global sequential information of the session. This approach struggles to consider transitions betwe...Show More

Self-Attention Residual Connection and Graph Neural Hawkes Bilayer Model for Session-Based Recommendation

Huan Li;Senpeng Chen;Wenhong Wei;Ani Dong;Qingxia Li

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

Solving Vehicle Routing Problem With Time Windows Based on Chaotic Adaptive Discrete Particle Swarm Optimization Algorithm

Wenhong Wei;Yu Ma;Ani Dong;Qingxia Li

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

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To address the limitations of existing particle swarm optimization algorithms in solving discrete problems, this paper proposes a discrete particle swarm optimization algorithm for vehicle routing problem with time windows. This algorithm enhances the velocity and position updating mechanism using an set-based strategy, making it more efficient in the discrete search process. Additionally, to furt...Show More

Solving Vehicle Routing Problem With Time Windows Based on Chaotic Adaptive Discrete Particle Swarm Optimization Algorithm

Wenhong Wei;Yu Ma;Ani Dong;Qingxia Li

2024 IEEE International Conference on Big Data (BigData)

Year: 2024 | Conference Paper |

Optimal path planning based on goal heuristics IQLA for mobile robots

Tianfeng Zhou;Qingxia Li;Wenhong Wei

2024 International Joint Conference on Neural Networks (IJCNN)

Year: 2024 | Conference Paper |

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Path planning is an indispensable part of the application of intelligent mobile robots. Q-learning is a type of reinforcement learning without prior knowledge and is currently a popular path planning method. Although there are numerous research articles on Q-learning for mobile robot path planning, the difficulties of stability and convergence speed of its path planning can hinder the effectivenes...Show More

Optimal path planning based on goal heuristics IQLA for mobile robots

Tianfeng Zhou;Qingxia Li;Wenhong Wei

2024 International Joint Conference on Neural Networks (IJCNN)

Year: 2024 | Conference Paper |

Graph Self-Attention Residual Connection Neural Network for Session-Based Recommendation

Senpeng Chen;Huan Li;Wenhong Wei;Ani Dong;Jie Zhao

2024 International Joint Conference on Neural Networks (IJCNN)

Year: 2024 | Conference Paper |

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Session-based recommendation aims to provide item recommendations to users based solely on anonymous session data, without relying on the users’ historical preferences. Traditional session-based recommendation models often treat sessions as sequences, recommending items based on the relevance of user preferences in the current session to the last clicked item. While this approach has shown some ef...Show More

Graph Self-Attention Residual Connection Neural Network for Session-Based Recommendation

Senpeng Chen;Huan Li;Wenhong Wei;Ani Dong;Jie Zhao

2024 International Joint Conference on Neural Networks (IJCNN)

Year: 2024 | Conference Paper |

Multi-View Contrastive Self-Supervised Triplet Network for Skeleton-Based Action Recognition

Huaigang Yang;Ziliang Ren;Huaqiang Yuan;Qieshi Zhang;Wenhong Wei;Xiaoyu Hong

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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Improving feature discrimination power from different viewpoints has long been a hot topic of interest for skeleton-based action recognition. Most of the existing methods are based on fully supervised approaches for feature representation learning, which need to rely on a large number of labeled samples. However, it is easy to lead to overfitting and insufficient generalization of the model. In th...Show More

Multi-View Contrastive Self-Supervised Triplet Network for Skeleton-Based Action Recognition

Huaigang Yang;Ziliang Ren;Huaqiang Yuan;Qieshi Zhang;Wenhong Wei;Xiaoyu Hong

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Human Motion Prediction Based on Graph Convolutional Networks and Multilayer Perceptron

Miaomiao Jin;Ziliang Ren;Wenhong Wei;Qian Chen;Ni An

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

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In the field of computer vision, human motion prediction is a classic problem with many great uses. Methods for predicting human movement aim to process and analyze human movement data for predicting future human movement. There are complex problems of loss constraint and training process in this method. For solving the above problems, reduce the training and prediction time and provide a new pers...Show More

Human Motion Prediction Based on Graph Convolutional Networks and Multilayer Perceptron

Miaomiao Jin;Ziliang Ren;Wenhong Wei;Qian Chen;Ni An

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2023 | Conference Paper |

Research on Mobile Robot Path Planning in Angle-Guided Ant Colony Optimization Algorithm

Shuai Wu;Qingxia Li;Wenhong Wei;Zijing Ye

2023 China Automation Congress (CAC)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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Addressing the issues of slow convergence, low smoothness, and long computation time in the basic Ant Colony Optimization algorithm, this paper proposes a novel variant of the Ant Colony Optimization algorithm. The proposed algorithm improves the heuristic function by introducing angle guidance. It incorporates the idea of the estimation function from the A* algorithm to enhance the direction towa...Show More

Research on Mobile Robot Path Planning in Angle-Guided Ant Colony Optimization Algorithm

Shuai Wu;Qingxia Li;Wenhong Wei;Zijing Ye

2023 China Automation Congress (CAC)

Year: 2023 | Conference Paper |

A Study on Improved Particle Swarm Optimization Algorithm in Portfolio Optimization Problem

Hao Wu;Qingxia Li;Wenhong Wei;Xiaohua Zeng

2023 China Automation Congress (CAC)

Year: 2023 | Conference Paper |

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The PSO algorithm suffers from a singular population and a propensity to settle on a local optimal solution. We propose CPSO algorithm to enhance the diversity of the particle population and prevent local optima. The algorithm modifies the initialization process to ensure higher diversity and ergodicity of particles within the pre-stage. It employs non-linearly varying inertia weights and accelera...Show More

A Study on Improved Particle Swarm Optimization Algorithm in Portfolio Optimization Problem

Hao Wu;Qingxia Li;Wenhong Wei;Xiaohua Zeng

2023 China Automation Congress (CAC)

Year: 2023 | Conference Paper |

Shift Swin Transformer Multimodal Networks for Action Recognition in Videos

Xiongjiang Xiao;Ziliang Ren;Wenhong Wei;Huan Li;Hua Tan

2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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Action recognition aims to understand human behavior. Currently, action recognition is mainly studied using deep neural networks. The traditional 2D CNN (Convolutional Neural Network) has low calculation cost, but it is difficult to capture action sequence information; the 3D CNN-based methods can extract excellent spatiotemporal information, but it has many parameters and a large amount of comput...Show More

Shift Swin Transformer Multimodal Networks for Action Recognition in Videos

Xiongjiang Xiao;Ziliang Ren;Wenhong Wei;Huan Li;Hua Tan

2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Year: 2022 | Conference Paper |

Multi-objective Community Detection Algorithm based on the Adaptive Mutation Operator

Wenxue Wang;Qingxia Li;Wenhong Wei;Simin Yang

2022 12th International Conference on Information Science and Technology (ICIST)

Year: 2022 | Conference Paper |

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Multi-objective optimization algorithms have been applied to community detection in recent years, notwithstanding, there are still problems such as poor stability and low computational efficiency. In order to improve the accuracy and calculation efficiency of community delineation, this paper proposed a multi-objective optimization algorithm (PDMOGA). PDMOGA fuses individual similarity to design a...Show More

Multi-objective Community Detection Algorithm based on the Adaptive Mutation Operator

Wenxue Wang;Qingxia Li;Wenhong Wei;Simin Yang

2022 12th International Conference on Information Science and Technology (ICIST)

Year: 2022 | Conference Paper |

A Modified Decomposition Based Multi-objective Optimization Algorithm for High Dimensional Feature Selection

Manlin Xuan;Lingjie Li;Qiuzhen Lin;Zhong Ming;Wenhong Wei

2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

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Feature selection (FS) is an important research topic in the field of data preprocessing. For this reason, a modified decomposition based multi-objective optimization algorithm, namely M-MOEA/D, is proposed for high dimensional FS, in which an efficient elimination and repair strategy and a modified binary differential evolution (DE) operator are implemented in the decomposition-based framework. S...Show More

A Modified Decomposition Based Multi-objective Optimization Algorithm for High Dimensional Feature Selection

Manlin Xuan;Lingjie Li;Qiuzhen Lin;Zhong Ming;Wenhong Wei

2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)

Year: 2021 | Conference Paper |

Evolutionary Convolutional Neural Network: An Application to Intrusion Detection

Yi Chen;Shuo Chen;Manlin Xuan;Qiuzhen Lin;Wenhong Wei

2021 13th International Conference on Advanced Computational Intelligence (ICACI)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Intrusion detection system (IDS) plays a significant role to secure our privacy data, which can avoid various threats from Internet. There are more and more research studies to use convolutional neural networks (CNNs) as IDSs. However, it is still very challenging on how to develop a reliable and effective IDS by using CNNs. Thus, this paper suggests an evolutionary convolutional neural network (E...Show More

Evolutionary Convolutional Neural Network: An Application to Intrusion Detection

Yi Chen;Shuo Chen;Manlin Xuan;Qiuzhen Lin;Wenhong Wei

2021 13th International Conference on Advanced Computational Intelligence (ICACI)

Year: 2021 | Conference Paper |

On Inverses of Permutation Polynomials of Small Degree Over Finite Fields

Yanbin Zheng;Qiang Wang;Wenhong Wei

IEEE Transactions on Information Theory

Year: 2020 | Volume: 66, Issue: 2 | Journal Article |

Cited by: Papers (16)

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Permutation polynomials (PPs) and their inverses have applications in cryptography, coding theory and combinatorial design theory. In this paper, we make a brief summary of the inverses of PPs of finite fields, and give the inverses of all PPs of degree ≤ 6 over finite fields Fq for all q and the inverses of all PPs of degree 7 over F2(n). The explicit inverse of a class of fifth degree PPs is the...Show More

On Inverses of Permutation Polynomials of Small Degree Over Finite Fields

Yanbin Zheng;Qiang Wang;Wenhong Wei

IEEE Transactions on Information Theory

Year: 2020 | Volume: 66, Issue: 2 | Journal Article |

Feature Selection Using an Improved Multi-objective Immune Algorithm for Intrusion Detection

Wenhong Wei;Shuo Chen;Qiuzhen Lin;Junkai Ji;Jianyong Chen

2019 IEEE Symposium Series on Computational Intelligence (SSCI)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

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Feature selection is important for running data classification. By selecting a suitable subset of features, the training time of the classification model can be reduced while the classification accuracy can be improved. In this paper, we propose a feature selection method using an improved multi-objective immune algorithm for intrusion detection. We modified a traditional multi-objective immune al...Show More

Feature Selection Using an Improved Multi-objective Immune Algorithm for Intrusion Detection

Wenhong Wei;Shuo Chen;Qiuzhen Lin;Junkai Ji;Jianyong Chen

2019 IEEE Symposium Series on Computational Intelligence (SSCI)

Year: 2019 | Conference Paper |

Fast access for ZigBee-enabled IoT devices using raspberry Pi

Ming Tao;Xiaoyu Hong;Chao Qu;Jie Zhang;Wenhong Wei

2018 Chinese Control And Decision Conference (CCDC)

Year: 2018 | Conference Paper |

Cited by: Papers (9)

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With the development of Internet of Things (IoT) technology, the application of IoT is more and more importantly widespread. Meanwhile, how to achieve fast access for various IoT devices, especially for a large-scale of IoT devices, also has been a significant challenge in the development of IoT systems. To address this issue, a fast access protocol for ZigBee-enabled IoT devices is proposed in th...Show More

Fast access for ZigBee-enabled IoT devices using raspberry Pi

Ming Tao;Xiaoyu Hong;Chao Qu;Jie Zhang;Wenhong Wei

2018 Chinese Control And Decision Conference (CCDC)

Year: 2018 | Conference Paper |

Bias and self-similarity in Dongguan highway network

Wei Li;Wenhong Wei

The 27th Chinese Control and Decision Conference (2015 CCDC)

Year: 2015 | Conference Paper |

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The construction of highway network is closely related to the geographical environment, population distribution, social and economic development and it has both natural and social attributes. On the surface, it seems similar to two-dimensional GRID. This paper gives an in-depth analysis on Dongguan highway network (DGN) from the perspective of complex network and compares it with GRID. It is found...Show More

Bias and self-similarity in Dongguan highway network

Wei Li;Wenhong Wei

The 27th Chinese Control and Decision Conference (2015 CCDC)

Year: 2015 | Conference Paper |

Cooperative Routing for Multi-flow Wireless Sensor Networks

Ming Tao;Huaqiang Yuan;Wenhong Wei;Yong Qin;Zhixiong Li

2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing

Year: 2013 | Conference Paper |

Cited by: Papers (1)

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In data-centric and application-oriented Wireless Sensor Network, effective energy-saving is an eternal theme, while in the scenarios deployed multiple flows, the network resource competition directly influences the whole network performance. To address this issue, a cooperative routing scheme is developed by comprehensively taking both the routing selection and contention avoidance into account, ...Show More

Cooperative Routing for Multi-flow Wireless Sensor Networks

Ming Tao;Huaqiang Yuan;Wenhong Wei;Yong Qin;Zhixiong Li

2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing

Year: 2013 | Conference Paper |

Geographic information assisted routing flexibility control in hierarchical Ad Hoc networks

Ming Tao;Huaqiang Yuan;Wenhong Wei;Zhixiong Li;Yong Qin

Proceedings of the 32nd Chinese Control Conference

Year: 2013 | Conference Paper |

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In Ad Hoc networks with the hierarchical architecture, the triangle loop routing mode with serious network overhead is usually employed to process the communication for the nodes belonging to different Clusters, while the direct routing mode is not always the optimal one as well. By introducing the session arrival rate, the mobility and the position relationship of the communicating nodes, the ana...Show More

Geographic information assisted routing flexibility control in hierarchical Ad Hoc networks

Ming Tao;Huaqiang Yuan;Wenhong Wei;Zhixiong Li;Yong Qin

Proceedings of the 32nd Chinese Control Conference

Year: 2013 | Conference Paper |

Performance Compensation for the False Alarm of L2 Trigger in FMIPv6

Ming Tao;Huaqiang Yuan;Wenhong Wei;Zhixiong Li;Yong Qin

2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies

Year: 2013 | Conference Paper |

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With the timely link-layer (L2) trigger invoking the handover protocols of upper layer, the specified handover procedures in FMIPv6 can be fully accomplished before terminating the current access link for enhancing the network performance. Firing the L2 trigger however is not always preferable owing to the irregular mobility profile acted by the mobile terminals. The premature L2 trigger named fal...Show More

Performance Compensation for the False Alarm of L2 Trigger in FMIPv6

Ming Tao;Huaqiang Yuan;Wenhong Wei;Zhixiong Li;Yong Qin

2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies

Year: 2013 | Conference Paper |

Parallel Prefix Algorithm on BSN-Mesh

Wenhong Wei;Qingxia Li;Ming Tao

2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies

Year: 2013 | Conference Paper |

Cited by: Papers (3)

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A parallel algorithm for prefix computation of N=2n4 elements on a Biswapped network (BSN) whose basis network is n×n mesh network is presented. BSN is a recently proposed network model of parallel computing, which is built of 2n copies of an n-node basis network and its basic network may be Hypercube, Mesh and other networks, BSN-Mesh is Biswapped network whose basis network is Mesh network. In t...Show More

Parallel Prefix Algorithm on BSN-Mesh

Wenhong Wei;Qingxia Li;Ming Tao

2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies

Year: 2013 | Conference Paper |

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