Xiaoxuan Li
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Xiaoxuan Li 001 (University of Auckland, School of Computer Science, Auckland, New Zealand)
- Xiaoxuan Li 002 (Osaka University, Department of Clinical Thanatology and Geriatric Behavioral Science, Osaka, Japan)
- Xiaoxuan Li 003 (University of New South Wales, Sydney, NSW, Australia)
- Xiaoxuan Liang 001 (University of British Columbia, Department of Computer Science, Vancouver, BC, Canada)
- Xiaoxuan Liang 002 (University of Massachusetts Amherst, MA, USA)
- Xiaoxuan Liao
- Xiaoxuan Liu
Bibliography
2025
An integrated framework for river assimilative capacity allocation based on environmental fairness and efficiency trade-offs with a modified optimization model in a river basin.
Environ. Model. Softw., 2025
2024
Reinforcement-Learning-Based Multilane Cooperative Control for On-Ramp Merging in Mixed-Autonomy Traffic.
IEEE Internet Things J., December, 2024
Appl. Intell., September, 2024
Research on Remote-Sensing Identification Method of Typical Disaster-Bearing Body Based on Deep Learning and Spatial Constraint Strategy.
Remote. Sens., April, 2024
Feasibility evaluation of Copula theory for substation equipment with multiple nonlinear-related seismic response indexes.
Reliab. Eng. Syst. Saf., 2024
2022
Int. J. Fuzzy Syst., 2022
Proceedings of the Advances in Computer Graphics, 2022
2019
Practice and Challenge of International Peer Review: A Case Study of Research Evaluation of CAS Centers for Excellence.
J. Data Inf. Sci., 2019
Combining Water Fraction and DEM-Based Methods to Create a Coastal Flood Map: A Case Study of Hurricane Harvey.
ISPRS Int. J. Geo Inf., 2019
2016
Improved Document Feature Selection with Categorical Parameter for Text Classification.
Proceedings of the Mobile, Secure, and Programmable Networking, 2016
2013
Eur. J. Oper. Res., 2013
Automatic road damage detection using high-resolution satellite images and road maps.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013