Dr Changjing Shang

BSc (NUDT), PhD (Heriot-Watt)

Dr Changjing Shang

Senior Research Fellow

Contact Details

Exclusive Lasso Assisted Two-Stage Fuzzy-Rough Feature Selection. / Qu, Yanpeng; Tan, Yi; Qiu, Lin et al.
In: IEEE Transactions on Emerging Topics in Computational Intelligence, 16.03.2026.

Research output: Contribution to journalArticlepeer-review

From Numerals to Letters: A Meta Learning-based Robotic Calligraphy System. / Chang, Xiang; Guo, Zhi-Hua; Chao, Fei et al.
In: IEEE Transactions on Artificial Intelligence, 07.01.2026, p. 1-12.

Research output: Contribution to journalArticlepeer-review

Lab-DN: Dual-branch lightweight network for Lab color space shadow removal. / Chu, Haocheng; Yang, Hong; Chao, Fei et al.
In: Expert Systems with Applications, Vol. 299, No. B, 01.03.2026, p. 130044.

Research output: Contribution to journalArticlepeer-review

Low-Rank Gradient Guidance With Mutual-Guided Mamba for Hyperspectral Pansharpening. / Wu, Chanyue; Wang, Dong; Mao, Hanyu et al.
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 19, 20.01.2026, p. 5948-5966.

Research output: Contribution to journalArticlepeer-review

Meta-learning with Dual-Branch Fusion Transformer for Hyperspectral Image Super-Resolution. / Wu, Chanyue; Wang, Dong; Shang, Changjing et al.
Proceedings of the UK Workshop on Computational Intelligence 2025 (UKCI 2025): Contributions Presented at The 24th UK Workshop on Computational Intelligence (UKCI 2025), September 3-5, 2025, Edinburgh, UK. ed. / Emma Hart; Tomas Horvath; Zhiyuan Tan; Sarah Thomson. Springer Nature, 2026. (Advances in Intelligent Systems and Computing; No. 1).

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (ISBN)

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