Weizhi Li
Orcid: 0009-0006-3587-8317
According to our database1,
Weizhi Li
authored at least 26 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the IEEE International Conference on Acoustics, 2024
DIFFSC: Semantic Communication Framework With Enhanced Denoising Through Diffusion Probabilistic Models.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
IEEE Trans. Cogn. Commun. Netw., December, 2023
Int. J. Comput. Intell. Syst., December, 2023
2022
Sensors, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
2021
Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021
Proceedings of the 26th IEEE Asia-Pacific Conference on Communications, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
IEEE Trans. Image Process., 2019
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019
2017
CoRR, 2017
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
Arbitrarily Accessible 3D Microfluidic Device for Combinatorial High-Throughput Drug Screening.
Sensors, 2016
The Effects of Image Dehazing Methods Using Dehazing Contrast-Enhancement Filters on Image Compression.
KSII Trans. Internet Inf. Syst., 2016
Semi-supervised structured output prediction by local linear regression and sub-gradient descent.
CoRR, 2016
CoRR, 2016
Multispectral imaging burn wound tissue classification system: a comparison of test accuracies between several common machine learning algorithms.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
A Novel Transfer Learning Method Based on Common Space Mapping and Weighted Domain Matching.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
2014
Proceedings of the AMIA 2014, 2014