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Journal Articles
- 2024
[j13]Hongren Zhou
, Hechang Chen, Bo Yu, Shuchao Pang, Xianling Cong, Lele Cong:
An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides. Expert Syst. Appl. 237(Part A): 121379 (2024)- [j12]Anan Du, Tianfei Zhou, Shuchao Pang, Qiang Wu, Jian Zhang:
PCL: Point Contrast and Labeling for Weakly Supervised Point Cloud Semantic Segmentation. IEEE Trans. Multim. 26: 8902-8914 (2024) - 2023
- [j11]Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong:
Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides. Knowl. Based Syst. 260: 110168 (2023) - [j10]Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu:
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. IEEE Trans. Cybern. 53(11): 6776-6787 (2023) - 2022
- [j9]Shuchao Pang, Matthew Field, Jason Dowling, Shalini K. Vinod, Lois Holloway, Arcot Sowmya:
Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings. Artif. Intell. Medicine 123: 102230 (2022) - 2021
- [j8]Shuchao Pang, Anan Du, Mehmet A. Orgun, Yunyun Wang, Zhenmei Yu:
Tumor attention networks: Better feature selection, better tumor segmentation. Neural Networks 140: 203-222 (2021) - 2020
- [j7]Shu-Chao Pang, AnAn Du, Mehmet A. Orgun, Hechang Chen:
Weakly supervised learning for image keypoint matching using graph convolutional networks. Knowl. Based Syst. 197: 105871 (2020) - 2019
- [j6]Shu-Chao Pang, AnAn Du, Mehmet A. Orgun, Zhezhou Yu:
A novel fused convolutional neural network for biomedical image classification. Medical Biol. Eng. Comput. 57(1): 107-121 (2019) - 2018
- [j5]Shu-Chao Pang, Mehmet A. Orgun, Zhezhou Yu:
A novel biomedical image indexing and retrieval system via deep preference learning. Comput. Methods Programs Biomed. 158: 53-69 (2018) - [j4]Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez:
Deep Learning and Preference Learning for Object Tracking: A Combined Approach. Neural Process. Lett. 47(3): 859-876 (2018) - 2017
- [j3]Shu-Chao Pang, Zhezhou Yu, Mehmet A. Orgun:
A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images. Comput. Methods Programs Biomed. 140: 283-293 (2017) - [j2]Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez:
Deep learning to frame objects for visual target tracking. Eng. Appl. Artif. Intell. 65: 406-420 (2017) - 2014
- [j1]Zhezhou Yu, Yuhao Liu, Bin Li, Shu-Chao Pang, Cheng-Cheng Jia:
Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition. J. Appl. Math. 2014: 928051:1-928051:10 (2014)
Conference and Workshop Papers
- 2024
- [c16]Liming Lu, Zhenghan Chen, Xiaoyu Lu, Yihang Rao, Lujun Li, Shuchao Pang:
UniADS: Universal Architecture-Distiller Search for Distillation Gap. AAAI 2024: 14167-14174 - [c15]Xiang Gu, Shuchao Pang, Anan Du, Yifei Wang, Jixiang Miao, Jorge Díez:
Dynamic Multimodal Prompt Tuning: Boost Few-Shot Learning with VLM-Guided Point Cloud Models. ECAI 2024: 761-768 - [c14]Yue Chen, Shuchao Pang, Rui Zhang:
Anti-AsynDGAN: Black-box Membership Inference Attacks Against Medical Distributed Generation Models. IJCNN 2024: 1-10 - [c13]Haichen Wang, Shuchao Pang, Zhigang Lu, Yihang Rao, Yongbin Zhou, Minhui Xue:
dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis. USENIX Security Symposium 2024 - 2023
- [c12]Anan Du, Shuchao Pang, Mehmet A. Orgun:
Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining. ADMA (1) 2023: 417-430 - [c11]Can Li, Sheng Shao, Junyi Qu, Shuchao Pang, Mehmet A. Orgun:
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets. BIBM 2023: 2081-2084 - [c10]Junyao Hu, Yimin He, Weiyu Zhang, Shuchao Pang, Ruhao Ma, Anan Du:
A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images. DSAA 2023: 1-10 - 2022
- [c9]Jie Liu, Hong Lai, Jinshu Ma, Shuchao Pang:
ConTenNet: Quantum Tensor-augmented Convolutional Representations for Breast Cancer Histopathological Image Classification. BIBM 2022: 1654-1657 - [c8]Hao Wu, Shuchao Pang, Arcot Sowmya:
Tgnet: A Task-Guided Network Architecture for Multi-Organ and Tumour Segmentation from Partially Labelled Datasets. ISBI 2022: 1-5 - 2020
- [c7]Anan Du, Shuchao Pang, Xiaoshui Huang, Jian Zhang, Qiang Wu:
Exploring Long-Short-Term Context For Point Cloud Semantic Segmentation. ICIP 2020: 2755-2759 - [c6]Zhenmei Yu, Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Hong Lin:
Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies. Medical Imaging: Image Processing 2020: 113130E - [c5]Shu-Chao Pang, AnAn Du, Zhenmei Yu, Mehmet A. Orgun:
Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation. PAKDD (1) 2020: 462-474 - 2019
- [c4]Shu-Chao Pang, AnAn Du, Xiaoli He, Jorge Díez, Mehmet A. Orgun:
Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework. ICONIP (4) 2019: 589-597 - 2017
- [c3]Shu-Chao Pang, Mehmet A. Orgun, AnAn Du, Zhezhou Yu:
Leveraging deep preference learning for indexing and retrieval of biomedical images. NER 2017: 126-129 - 2016
- [c2]Shu-Chao Pang, Juan José del Coz, Zhezhou Yu, Oscar Luaces, Jorge Díez:
Combining Deep Learning and Preference Learning for Object Tracking. ICONIP (3) 2016: 70-77 - 2014
- [c1]Alexey Potapov, Vita Batishcheva, Shuchao Pang:
Universalization of narrow methods: Case study on autoencoders. CCIS 2014: 302-304
Informal and Other Publications
- 2024
- [i7]Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang:
Enhancing Content-based Recommendation via Large Language Model. CoRR abs/2404.00236 (2024) - [i6]Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, Yucheng Wang, Yazhou Yao:
Foster Adaptivity and Balance in Learning with Noisy Labels. CoRR abs/2407.02778 (2024) - [i5]Shaorong Sun, Shuchao Pang, Yazhou Yao, Xiaoshui Huang:
COMOGen: A Controllable Text-to-3D Multi-object Generation Framework. CoRR abs/2409.00590 (2024) - 2023
- [i4]Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong:
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides. CoRR abs/2304.09314 (2023) - [i3]Can Li, Sheng Shao, Junyi Qu, Shuchao Pang, Mehmet A. Orgun:
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets. CoRR abs/2311.10251 (2023) - 2022
- [i2]Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu:
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. CoRR abs/2207.14472 (2022) - 2020
- [i1]Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu:
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation. CoRR abs/2005.03924 (2020)
Coauthor Index
aka: AnAn Du
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