Research
Our current major research interest
♦︎ Robot Vision: Imitation learning for robot manipulation with temporal skill abstractors
♦︎ Medical Image Processing: Semi-supervised medical image segmentation regularizing logits between different networks
♦︎ Visual Question and Answering: Visual question generation utilizing image and object-aware captions
Preprint
⌛ (Under Review) “Enhancing Multi-Hop Question Answering through Automatic Prompt Generation with Cycle Consistnecy of Thought,” Engineering
Applications of Artificial Intelligence(2023-JCR-IF: 7.5, 5/179, Top 2.5%)
⌛ (Under Review) “Automatic Network Compression via Evolutionary Search-guided Channel Pruning of Deep Convolutional Neural Networks,” Applied
Soft Computing(2023-JCR-IF: 7.2, 15/169, Top 8.6%)
⌛ (Under Review) “Pseudo-Supervised Contrastive Clustering,” Applied Sfot Computing(2023-JCR-IF: 7.2, 15/169, Top 8.6%)
⌛ (Under Review) “Enriching Object-aware Image-Text Highlight Information for Visual Question Generation”
⌛ (Under Review) “Extended Consistency Regularization and Morphological Refinement for Semi-supervised 3D Medical Image Segmentation
Published
2025-02
2025-01
2024-12
2024-09
2024-07
2024-06
2024-04
2024-03
2024-02
2024-01
2024
2023-12
2023-11
2023-10
2023-09
2023-08
2023-06
2023-04
2023-01
2023
2022-12
2022-09
2022-08
2022-03
2022
2021-12
2021-11
2021-09
2021-07
2020-07
2019-01
2018-10
2018-06
2018-04
2017-10
2017-03
2016-12
2015-12
2015-01
2014-08
2014
2013-11