Ken Wang

According to our database, Ken Wang authored at least 8 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation.

Xuefeng Hu, Ke Zhang, Lu Xia, Albert Chen, Jiajia Luo, Yuyin Sun, Ken Wang, Nan Qiao, Xiao Zeng, Min Sun, Cheng-Hao Kuo, Ram Nevatia

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multi-wavelength sources for Optical IO Co-packaged optics.

Matthew N. Sysak, Radek Roucka, Nandita Aggarwal, Chen Li, Fernando Luna, Sally El-Hemawy, John Frey, Manan Raval, Ken Wang, Li-Fan Yang, Mark Wade, Chen Sun

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

2023

Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data.

David Augustin, Ben Lambert, Ken Wang, Antje-Christine Walz, Martin Robinson, David Gavaghan

PLoS Comput. Biol., 2023

2022

Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development.

Yann-Stanislas H. M. Barral, Liudmila Polonchuk, Gary R. Mirams, Michael Clerx, Guy Page, Katrina Sweat, Najah Abi-Gerges, Ken Wang, David J. Gavaghan

Proceedings of the Computing in Cardiology, 2022

Modelling the Effect of Intracellular Calcium in the Rundown of L-Type Calcium Current.

Aditi Agrawal, Michael Clerx, Ken Wang, Liudmila Polonchuk, David J. Gavaghan, Gary R. Mirams

Proceedings of the Computing in Cardiology, 2022

2017

The LOINC/RSNA Radiology Playbook: A unified terminology for radiology procedures.

Daniel J. Vreeman, Ken Wang, Chris Carr, Beverly Collins, Swapna Abhyankar, Jamalynne Deckard, Clement J. McDonald, Daniel L. Rubin, Curtis P. Langlotz

Proceedings of the AMIA 2017, 2017

2013

A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling.

Anna Sher, Ken Wang, Andrew J. Wathen, Philip John Maybank, Gary R. Mirams, David Abramson, Denis Noble, David Gavaghan

Future Gener. Comput. Syst., 2013

2010

A Local Sensitivity Analysis Method for Developing Biological Models with Identifiable Parameters: Application to L-type Calcium Channel Modelling.

Anna Sher, Ken Wang, Andrew J. Wathen, Gary R. Mirams, David Abramson, David Gavaghan

Proceedings of the Sixth International Conference on e-Science, 2010