| 2026 | SIMULTECH | Performance Optimization of Transient Pressure Acoustic Simulation by Coarse-Grain Diffusion Model. | Qian Shi, Ian Flood, Hassan Azad |
| 2024 | IGARSS | Explicable Sub-Pixel Mapping Based on Nested Self-Attention Network with Spatial Correlation Learnable Mechanism. | Da He, Qian Shi, Jingqian Xue, XueXiaoping Liu |
| 2024 | RECOMB | Accurate Assembly of Circular RNAs with TERRACE. | Tasfia Zahin, Qian Shi, Xiaofei Carl Zang, Mingfu Shao |
| 2023 | ICASSP | Incorporating Reliability in Graph Information Propagation by Fluid Dynamics Diffusion: A case of Multimodal Semisupervised Deep Learning. | Andrea Marinoni, Marine Mercier, Qian Shi, Sivasakthy Selvakumaran, Mark Girolami |
| 2023 | IGARSS | Using High-Resolution Nighttime Remote Sensing Data to Identify Light Sources in Hong Kong. | Shengjie Liu, Chu Wing So, Hung Chak Ho, Qian Shi, Chun Shing Jason Pun |
| 2022 | IGARSS | A Deep Learning Method for Fined-Grained Urban Green Space Mapping. | Mengxi Liu, Jianlong Li, Zeteng Li, Qian Shi |
| 2022 | IGARSS | Estimating PM2.5 and PM10 on Zhuhai-1 Hyperspectral Imagery. | Shengjie Liu, Qian Shi |
| 2021 | IAS | Improving Embedded Convolutional Object Detectors Through Low-res Training. | Qian Shi, Jiahui Zhu, Zhonglin Nian, Andre Rosendo |
| 2021 | IGARSS | Rethinking the High Frequency Components in Deep Sub-Pixel Mapping Network. | Da He, Yanfei Zhong, Qian Shi, Xiaoping Liu |
| 2021 | IGARSS | DSAMNet: A Deeply Supervised Attention Metric Based Network for Change Detection of High-Resolution Images. | Mengxi Liu, Qian Shi |
| 2021 | IGARSS | Multi-Label Local Climate Zone Mapping as Scene Classification Using Very High Resolution Imagery: Preliminary Result of Hong Kong. | Shengjie Liu, Qian Shi |
| 2020 | Interspeech | Improved Guided Source Separation Integrated with a Strong Back-End for the CHiME-6 Dinner Party Scenario. | Hangting Chen, Pengyuan Zhang, Qian Shi, Zuozhen Liu |
| 2020 | IGARSS | Siamese Generative Adversarial Network for Change Detection Under Different Scales. | Mengxi Liu, Qian Shi, Penghua Liu, Cheng Wan |
| 2020 | VTC | An LS-SVM control method for path following of autonomous ground vehicles. | Qian Shi, Hui Zhang |
| 2019 | IGARSS | The Coupling Characteristics of Arctic Seaice Concentration and Seaice Motion in Winter. | Jie Su, Qian Shi, Ping Chen, Hongjie Liang |
| 2019 | IJCAI | Ensemble-based Ultrahigh-dimensional Variable Screening. | Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian |
| 2019 | IGARSS | Accessibility-Free Active Learning for Hyperspectral Image Classification. | Chenying Liu, Jun Li, Mercedes Eugenia Paoletti, Juan Mario Haut, Antonio Plaza, Qian Shi |
| 2018 | IGARSS | Retrieval and Validation of Sea Ice Concentration from AMSR-E/AMSR2 in Polar Regions. | Qian Shi, Jie Su |
| 2016 | CSCWD | Integrating the codification and personalisation views of knowledge for collaborative design. | Hongwei Wang, Oluwakemi Olayinka, Heming Zhang, Qian Shi |
| 2016 | IGARSS | Active learning approach for remote sensing imagery classification using spatial information. | Qian Shi, Xin Huang, Jiayi Li, Liangpei Zhang |
| 2015 | CEC | Improved chaotic gravitational search algorithms for global optimization. | Dongmei Shen, Tao Jiang, Wei Chen, Qian Shi, Shangce Gao |
| 2013 | IGARSS | Spatial correlated information based batch mode active learning method for remote sensing image classification. | Qian Shi, Liangpei Zhang, Bo Du |