Junhan Zhao
Orcid: 0000-0002-0316-8365
According to our database1,
Junhan Zhao
authored at least 20 papers
between 2018 and 2024.
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Bibliography
2024
SAC-Net: Enhancing Spatiotemporal Aggregation in Cervical Histological Image Classification via Label-Efficient Weakly Supervised Learning.
IEEE Trans. Circuits Syst. Video Technol., August, 2024
Error-Robust and Label-Efficient Deep Learning for Understanding Tumor Microenvironment From Spatial Transcriptomics.
IEEE Trans. Circuits Syst. Video Technol., August, 2024
Optimal sensor placement for permanent magnet synchronous motor condition monitoring using a digital twin-assisted fault diagnosis approach.
Reliab. Eng. Syst. Saf., February, 2024
PFIMPA: A Multimodal Approach to Predict Physical Function Impairment in Older Adults Using Physical Activity From Wrist-Worn Accelerometer.
IEEE Trans. Instrum. Meas., 2024
CoRR, 2024
Comput. Biol. Medicine, 2024
Briefings Bioinform., 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Vis. Intell., 2023
Federated contrastive learning models for prostate cancer diagnosis and Gleason grading.
CoRR, 2023
2022
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
2021
IEEE Trans. Vis. Comput. Graph., 2021
2020
Click or not: different mouseover effects may affect clicking-through rate while browsing interactive information visualization.
J. Vis., 2020
ProtoViewer: Visual Interpretation and Diagnostics of Deep Neural Networks with Factorized Prototypes.
Proceedings of the 31st IEEE Visualization Conference, 2020
2019
2018
IEEE Computer Graphics and Applications, 2018
Phoenixmap: Spatio-Temporal Distribution Analysis With Deep Learning Classifications.
Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018
Deep CNN-Based Methods to Evaluate Neighborhood-Scale Urban Valuation Through Street Scenes Perception.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018