| 2025 | VISIGRAPP | Herbicide Efficacy Prediction Based on Object Segmentation of Glasshouse Imagery. | Majedaldein Almahasneh, Baihua Li, Haibin Cai, Nasir Rajabi, Laura Davies, Qinggang Meng |
| 2024 | AINA | PRVC: A Novel Vehicular Ad-Hoc Network Caching Based on Pre-trained Reinforcement Learning. | Ziyang Zhang, Lin Guan, Yuanchen Li, Seth Gbd Johnson, Qinggang Meng |
| 2024 | AINA | A Hybrid Deep Reinforcement Learning Routing Method Under Dynamic and Complex Traffic with Software Defined Networking. | Ziyang Zhang, Lin Guan, Qinggang Meng |
| 2023 | ICIP | A Multi-Modal Transformer Approach for Football Event Classification. | Yixiao Zhang, Baihua Li, Hui Fang, Qinggang Meng |
| 2023 | IJCNN | Learning to Classify Faster Using Spiking Neural Networks. | Pranav Machingal, Mohammed Thousif, Shirin Dora, Suresh Sundaram, Qinggang Meng |
| 2022 | ICIAP | Self-Adaptive Logit Balancing for Deep Learning Robustness in Computer Vision. | Jiefei Wei, Qinggang Meng, Luyan Yao |
| 2022 | SMC | Graph Instinctive Attention Convolutional Network for Skeleton-Based Action Recognition. | Jinze Huo, Haibin Cai, Qinggang Meng |
| 2022 | SMC | An Improved Novel View Synthesis Approach Based on Feature Fusion and Channel Attention. | Lei Jiang, Gerald Schaefer, Qinggang Meng |
| 2021 | AAAI | RadarMath: An Intelligent Tutoring System for Math Education. | Yu Lu, Yang Pian, Penghe Chen, Qinggang Meng, Yunbo Cao |
| 2021 | ICCE | Does Large Dataset Matter? An Evaluation on the Interpreting Method for Knowledge Tracing. | Yu Lu, Deliang Wang, Penghe Chen, Qinggang Meng |
| 2021 | ICMLA | Current Advances on Deep Learning-based Human Action Recognition from Videos: a Survey. | Yixiao Zhang, Baihua Li, Hui Fang, Qinggang Meng |
| 2020 | ACCV | Compact and Fast Underwater Segmentation Network for Autonomous Underwater Vehicles. | Jiangtao Wang, Baihua Li, Yang Zhou, Emanuele Rocco, Qinggang Meng |
| 2020 | AIED | Towards Interpretable Deep Learning Models for Knowledge Tracing. | Yu Lu, Deliang Wang, Qinggang Meng, Penghe Chen |
| 2020 | IJCNN | Balance Control of a Bipedal Robot Utilizing Intuitive Pattern Generators with Extended Normalized Advantage Functions. | Christos Kouppas, Mohamad Saada, Qinggang Meng, Mark King, Dennis Majoe |
| 2020 | INDIN | AdversarialStyle: GAN Based Style Guided Verification Framework for Deep Learning Systems. | Jiefei Wei, Qinggang Meng |
| 2020 | SMC | Real-time and Embedded Compact Deep Neural Networks for Seagrass Monitoring. | Jiangtao Wang, Baihua Li, Yang Zhou, Qinggang Meng, Sante Francesco Rende, Emanuele Rocco |
| 2019 | AIED | A Task-Oriented Dialogue System for Moral Education. | Yan Peng, Penghe Chen, Yu Lu, Qinggang Meng, Qi Xu, Shengquan Yu |
| 2018 | ICARCV | Camera Based Decision Making at Roundabouts for Autonomous Vehicles. | Weichao Wang, Qinggang Meng, Paul Wai Hing Chung |
| 2018 | SAC | Fast consensus for fully distributed multi-agent task allocation. | Joanna Turner, Qinggang Meng, Gerald Schaefer, Andrea Soltoggio |
| 2015 | IROS | A novel distributed scheduling algorithm for time-critical multi-agent systems. | Amanda Whitbrook, Qinggang Meng, Paul W. H. Chung |
| 2015 | ICRA | Increasing allocated tasks with a time minimization algorithm for a search and rescue scenario. | Joanna Turner, Qinggang Meng, Gerald Schaefer |
| 2013 | SMC | Vehicle Detection from UAVs by Using SIFT with Implicit Shape Model. | Xiyan Chen, Qinggang Meng |
| 2013 | SMC | A Machine Learning Method for Identification of Key Body Poses in Cyclic Physical Exercises. | Pablo Fernndez de Dios, Qinggang Meng, Paul Wai Hing Chung |
| 2012 | ICMLA | An Extension of the Consensus-Based Bundle Algorithm for Multi-agent Tasks with Task Based Requirements. | Simon Hunt, Qinggang Meng, Chris J. Hinde |
| 2012 | ICONIP | An Extension of the Consensus-Based Bundle Algorithm for Group Dependant Tasks with Equipment Dependencies. | Simon Hunt, Qinggang Meng, Chris J. Hinde |
| 2012 | ICONIP | Robot Dancing: Adapting Robot Dance to Human Preferences. | Qinggang Meng, Ibrahim Tholley, Paul Wai Hing Chung |
| 2012 | ICONIP | An Efficient Algorithm for Anomaly Detection in a Flight System Using Dynamic Bayesian Networks. | Mohamad Saada, Qinggang Meng |
| 2007 | ICANN | Functional Modelling of Large Scattered Data Sets Using Neural Networks. | Qinggang Meng, Baihua Li, Nicholas Costen, Horst Holstein |
| 2006 | CGI | Adaptive Point-Cloud Surface Interpretation. | Qinggang Meng, Baihua Li, Horst Holstein |
| 2006 | ICIP | Compact Representation of Range Imaging Surfaces. | Baihua Li, Qinggang Meng, Horst Holstein |
| 2006 | ICRA | Error-driven Active Learning in Growing Radial Basis Function Networks for Early Robot Learning. | Qinggang Meng, Mark H. Lee |
| 2006 | IROS | Development of an Embedded Control Platform of a Continuous Passive Motion Machine. | Yili Fu, Fuxiang Zhang, Shuguo Wang, Qinggang Meng |
| 2006 | IROS | Biologically inspired automatic construction of cross-modal mapping in robotic eye/hand systems. | Qinggang Meng, Mark H. Lee |
| 2005 | IJCAI | Growth of Motor Coordination in Early Robot Learning. | Mark H. Lee, Qinggang Meng |
| 2005 | SMC | Staged development of robot motor coordination. | Mark H. Lee, Qinggang Meng |
| 2004 | ICPR | New Method for Sparse Point-Sets Matching with Underlying Non-Rigidity. | Baihua Li, Qinggang Meng, Horst Holstein |
| 2003 | SMC | Point pattern matching and applications-a review. | Baihua Li, Qinggang Meng, Horst Holstein |
| 2002 | ICARCV | Learning and reuse of experience in behavior-based service robots. | Mark H. Lee, Qinggang Meng, Horst Holstein |
| 2002 | ICARCV | Articulated point pattern matching in optical motion capture systems. | Baihua Li, Horst Holstein, Qinggang Meng |