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Shulan Ruan
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2020 – today
- 2024
- [j3]Jun Shi, Zhaohui Wang, Shulan Ruan, Minfan Zhao, Ziqi Zhu, Hongyu Kan, Hong An, Xudong Xue, Bing Yan:
Rethinking automatic segmentation of gross target volume from a decoupling perspective. Comput. Medical Imaging Graph. 112: 102323 (2024) - [j2]Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen:
Color Enhanced Cross Correlation Net for Image Sentiment Analysis. IEEE Trans. Multim. 26: 4097-4109 (2024) - [i6]Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan:
Predictive Accuracy-Based Active Learning for Medical Image Segmentation. CoRR abs/2405.00452 (2024) - 2023
- [c8]Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang:
PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. CIKM 2023: 2178-2187 - [c7]Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu:
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization. IJCAI 2023: 1676-1685 - [c6]Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue:
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. MICCAI (4) 2023: 692-702 - [c5]Xiangneng Gao, Shulan Ruan, Jun Shi, Guoqing Hu, Wei Wei:
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer. SMC 2023: 653-658 - [i5]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR abs/2306.08817 (2023) - [i4]Xiangneng Gao, Shulan Ruan, Jun Shi, Guoqing Hu, Wei Wei:
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer. CoRR abs/2306.14646 (2023) - [i3]Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue:
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. CoRR abs/2307.01486 (2023) - 2022
- [j1]Wei Cao, Kun Zhang, Shulan Ruan, Hanqing Tao, Sirui Zhao, Hao Wang, Qi Liu, Enhong Chen:
Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction. IEEE Trans. Affect. Comput. 13(4): 1743-1758 (2022) - 2021
- [c4]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. AAAI 2021: 14411-14419 - [c3]Jun Shi, Huite Yi, Shulan Ruan, Zhaohui Wang, Xiaoyu Hao, Hong An, Wei Wei:
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images. BIBM 2021: 1528-1533 - [c2]Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen:
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. ICCV 2021: 13940-13949 - [i2]Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen:
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. CoRR abs/2108.12141 (2021) - 2020
- [c1]Shulan Ruan, Kun Zhang, Yijun Wang, Hanqing Tao, Weidong He, Guangyi Lv, Enhong Chen:
Context-Aware Generation-Based Net For Multi-Label Visual Emotion Recognition. ICME 2020: 1-6 - [i1]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
R2-Net: Relation of Relation Learning Network for Sentence Semantic Matching. CoRR abs/2012.08920 (2020)
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last updated on 2024-06-10 23:06 CEST by the dblp team
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