| 2026 | AAAI | Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset. | Songcheng Du, Yang Zou, Jiaxin Li, Mingxuan Liu, Ying Li, Changjing Shang, Qiang Shen |
| 2026 | ACL | Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule Interpolation. | Huachen Qi, Ruiyu Zhuo, Bowen Shi, Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen |
| 2025 | ICASSP | Pyramid Attention Enhancement Network for Nighttime UAV Tracking. | Xiaomin Huang, Zhenhua Wu, Ying Li, Changjing Shang, Qiang Shen |
| 2025 | IJCNN | Optimizing Time-Step Sampling Probabilities in Diffusion Models for Enhanced Training Efficiency. | Beibei Zhang, Wenjing Liu, Xiang Chang, Changjing Shang, Qiang Shen, Fei Chao |
| 2023 | ICASSP | SAR Image Despeckling with Residual-in-Residual Dense Generative Adversarial Network. | Yunpeng Bai, Yayuan Xiao, Xuan Hou, Ying Li, Changjing Shang, Qiang Shen |
| 2023 | ICRA | Automated Action Evaluation for Robotic Imitation Learning via Siamese Neural Networks. | Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen |
| 2020 | IJCNN | A Novel Self-Organizing Emotional CMAC Network for Robotic Control | Juncheng Zhang, Quanfeng Li, Xiang Chang, Fei Chao, Chih-Min Lin, Longzhi Yang, Tuan-Tu Huynh, Ling Zheng, Changle Zhou, Changjing Shang |
| 2019 | GECCO | Helper and equivalent objective different evolution for constrained optimisation. | Tao Xu, Jun He, Changjing Shang |
| 2019 | UIC | Robotic Chinese Calligraphy with Human Preference. | Fei Chao, Jitu Lyu, Ruiqi Wu, Xingen Gao, Changle Zhou, Longzhi Yang, Chih-Min Lin, Changjing Shang |
| 2018 | HPCC | Intelligent Dynamic Honeypot Enabled by Dynamic Fuzzy Rule Interpolation. | Nitin Naik, Changjing Shang, Qiang Shen, Paul Jenkins |
| 2018 | ICRA | Generative Adversarial Nets in Robotic Chinese Calligraphy. | Fei Chao, Jitu Lv, Dajun Zhou, Longzhi Yang, Chih-Min Lin, Changjing Shang, Changle Zhou |
| 2017 | ICNC | A new approach to exploring rough set boundary region for feature selection. | Rong Li, Yanpeng Qu, Ansheng Deng, Qiang Shen, Changjing Shang |
| 2014 | IJCNN | Interpolating Deep Spatio-Temporal Inference Network features for image classification. | Yongfeng Zhang, Changjing Shang, Qiang Shen |
| 2012 | IJCNN | Support vector machine-based classification of rock texture images aided by efficient feature selection. | Changjing Shang, Dave Barnes |
| 2010 | ICIP | Combining support vector machines and information gain ranking for classification of mars McMurdo panorama images. | Changjing Shang, Dave Barnes |
| 2009 | ISDA | Effective Feature Selection for Mars McMurdo Terrain Image Classification. | Changjing Shang, Dave Barnes, Qiang Shen |
| 2000 | ICIP | Analysis and Classification of Tissue Section Images Using Directional Fractal Dimension Features. | Changjing Shang, Craig Daly, John McGrath, John Barker |
| 1999 | ICASSP | Modelling magnetic material images with simultaneous autoregressions. | Changjing Shang, D. M. Titterington |
| 1996 | ICASSP | Least-mean-log-likelihood adaptive algorithm in single-layer perceptron based communication channel equalisation. | Changjing Shang, Colin F. N. Cowan, Murray J. J. Holt |
| 1993 | ICASSP | Cascaded neural networks based image classifier. | Changjing Shang, Keith E. Brown |