Prof Qiang Shen BSc, MSc, PhD, DSc, CEng, FBCS, FLSW, FREng
Pro Vice-Chancellor: Faculty of Business and Physical Sciences
Contact Details
- Email: qqs@aber.ac.uk
- ORCID: 0000-0001-9333-4605
- Office: E46A, Llandinam Building
- Phone: +44 (0) 1970 622424
- Personal Website: http://users.aber.ac.uk/qqs
- Research Portal Profile
Profile
Qiang Shen is a professor, and Pro Vice-Chancellor: Faculty of Business and Physical Sciences at Aberystwyth University. He is a Fellow of the Royal Academy of Engineering and a Fellow and Council Member of the Learned Society of Wales (the national academy of Wales).
Professor Shen was a member of the UK Research Excellence Framework (REF) 2021 Sub-panel 11: Computer Science and Informatics and also, a REF 2014 panel member. He was a London 2012 Olympic Torch Relay torchbearer, nominated to carry the Olympic torch in celebration of the centenary of Alan Turing. He is the recipient of the 2024 IEEE CIS Fuzzy Systems Pioneer Award.
Research Groups
Publications
Guo, BW, Chao, F, Chang, X, Shang, C & Shen, Q 2024, 'Actor-Critic with Synthesis Loss for Solving Approximation Biases', IEEE Transactions on Cybernetics, vol. 54, no. 9, pp. 5323-5336.
Zhang, L, Zheng, X, Wu, J, Chang, X, Copner, N, Lin, C-M, Chao, F, Chen, Y, Shang, C & Shen, Q 2024, A Hybrid Performance Estimation Strategy for Optimizing Neural Architecture Search. in UKCI 2024: 23rd UK Workshop on Computational Intelligence. 23rd UK Workshop on Computational Intelligence and 8th International Conference on Belief Functions (BELIEF 2024), Belfast, United Kingdom of Great Britain and Northern Ireland, 04 Sept 2024.
Guo, B, Chang, X, Chao, F, Zheng, X, Lin, CM, Chen, Y, Shang, C & Shen, Q 2024, 'ARLP: Automatic multi-agent transformer reinforcement learning pruner for one-shot neural network pruning', Knowledge-Based Systems, vol. 300, 112122. 10.1016/j.knosys.2024.112122
Wang, J, Zhang, X & Shen, Q 2024, 'Choquet-like Integrals with Rough Attribute Fuzzy Measures for Data-driven Decision-making', IEEE Transactions on Fuzzy Systems, vol. 32, no. 5, pp. 2825-2836. 10.1109/TFUZZ.2024.3363415
Chu, H, Dai, S, Ding, W, Shi, X, Xu, T, Dai, P, Zhang, S, Zhang, Y, Chang, X, Lin, C-M, Chao, F, Shang, C & Shen, Q 2024, CPE COIN++: Towards Optimized Implicit Neural Representation Compression via Chebyshev Positional Encoding. in The 7th Chinese Conference on Pattern Recognition and Computer Vision PRCV 2024. Springer Publishing, 7th Chinese Conference on Pattern Recognition and Computer Vision, Urumqi, Xinjiang, China, 18 Oct 2024.
More publications on the Research Portal