( en | de | ru )

 

Disambiguation of "Gao, Jiaxin"

Author of the publication

copydeleteadd this publication to your clipboard
Breaking the water dilemma: Transmission-guided bilevel adaptive learning for underwater imagery.

, , , , , and . Neurocomputing, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jiaxin Pan

Jiaxin Dong

Jiaxin Zhao

Zhigang Gao

Gao Guo

 

Other publications of authors with the same name

Research on the Integrated Navigation Technology of SINS with Couple Odometers for Land Vehicles., , and . Sensors, 20 (2): 546 (2020)Generalized Countable Fuzzy Semi-Compactness in L-Topological Spaces., , and . FSDM, volume 378 of Frontiers in Artificial Intelligence and Applications, page 670-676. IOS Press, (2023)Learning adaptive hyper-guidance via proxy-based bilevel optimization for image enhancement., , , and . Vis. Comput., 39 (4): 1471-1484 (April 2023)Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning., , , and . CoRR, (2024)LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow., , , , and . CoRR, (2024)CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting., , , , and . CoRR, (2023)Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation., , , , , and . IJCAI, page 1137-1145. ijcai.org, (2024)N-Compactness of Intuitionistic L-Fuzzy Topological Space., , and . FSDM, volume 378 of Frontiers in Artificial Intelligence and Applications, page 434-441. IOS Press, (2023)XML2NN: A Unified Modeling Method Accelerated by Distributed Training with an XML File., , , and . ACAI, page 80:1-80:7. ACM, (2021)Self-Adaptive Task Allocation for Decentralized Deep Learning in Heterogeneous Environments., , , and . SEKE, page 154-159. KSI Research Inc., (2022)