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ORCIDCong Cong 0001
Person information
- affiliation: Macquarie University, Australian Institute of Health Innovation (AIHI), Sydney, Australia
- affiliation (PhD 2024): University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
Other persons with the same name
- Cong Cong 0002
![[0000-0003-0364-797X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0364-797X")
— North China Electric Power University, Beijing, China - Cong Cong 0003 — Massachusetts Institute of Technology, Cambridge, MA, USA (and 1 more)
- Cong Cong 0004 — Chinese Academy of Sciences, Institute of Software, Beijing, China
Other persons with a similar name
- Ying-Cong Chen (aka: Yingcong Chen)
- Gao Cong — Nanyang Technological University, Singapore (and 4 more)
- Jason Cong — University of California, Los Angeles, USA
- Cong Li — disambiguation page
- Cong Ling 0001 — Imperial College London, Department of Electrical and Electronic Engineering, UK (and 2 more)
- Cong Liu — disambiguation page
- Cong Shen 0001 — University of Virginia, Charles L. Brown Department of Electrical and Computer Engineering, Charlottesville, VA, USA (and 3 more)
- Cong Wang — disambiguation page
- Cong Wang 0001 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
- Cong Zhang — disambiguation page
- show all similar names
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2020 – today
- 2026
[j5]Cong Cong, Yang Song, Antonio Di Ieva, Qiangguo Jin, Lei Fan, Angela Chou, Anthony J. Gill, Sidong Liu:
Slide-aware deep feature prompting for enhanced whole slide image classification. Expert Syst. Appl. 331: 133079 (2026)- [i10]Junze Wang, Lei Fan, Dezheng Zhang, Weipeng Jing, Donglin Di, Yang Song, Sidong Liu, Cong Cong:
Visual Prompt-Agnostic Evolution. CoRR abs/2601.20232 (2026) - [i9]Linkuan Zhou, Yinghao Xia, Yufei Shen, Xiangyu Li, Wenjie Du, Cong Cong, Leyi Wei, Ran Su, Qiangguo Jin:
SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation. CoRR abs/2603.21904 (2026) - [i8]Luru Jing, Cong Cong, Yanyuan Chen, Yongzhi Cao:
Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration. CoRR abs/2605.00578 (2026) - 2025
- [j4]Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su:
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. Knowl. Based Syst. 324: 113785 (2025) - [c15]Homay Danaei Mehr, Cong Cong, Imran Noorani, Antonio Di Ieva, Sidong Liu:
Adaptive Clustering for EGFR Amplification Prediction in Glioblastoma: A Variational Autoencoder-Dirichlet Bayesian Gaussian Approach. AIME (1) 2025: 88-97 - [c14]Yizhi Zhang, Lei Fan, Zhulin Tao, Donglin Di, Yang Song, Sidong Liu, Cong Cong:
Cross-Stain Contrastive Learning for Paired Immunohistochemistry and Histopathology Slide Representation Learning. BIBM 2025: 1458-1463 - [c13]Qiangguo Jin, Xurong Chen, Hui Cui, Changming Sun, Youpeng Deng, Cong Cong, Yuqi Fang, Ran Su, Leyi Wei, Xiaoqing Zhao:
ADSA-Net: Addressing Intra- and Inter-Class Variabilities for Severity Assessment of Atopic Dermatitis. BIBM 2025: 2329-2334 - [c12]Wenjin Zhong, Cong Cong, Ghasem Azemi, Mehnaz Tabassum, Antonio Di Ieva, Sidong Liu:
Multi-Sequence MRI to Multi-Tracer Pet Generation via Diffusion Model. ISBI 2025: 1-4 - [c11]Haolong Jin, Shenglin Liu, Cong Cong, Qingmin Feng, Yongzhi Liu, Lina Huang, Yingzi Hu:
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation. MICCAI (14) 2025: 178-188 - [c10]Wenjin Zhong, Cong Cong, Zihan Wang, Zeya Yan, Antonio Di Ieva, Sidong Liu:
FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality. MICCAI (16) 2025: 227-236 - [c9]Junze Wang, Lei Fan, Weipeng Jing, Donglin Di, Yang Song, Sidong Liu, Cong Cong:
Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities. MICCAI (11) 2025: 283-293 - [i7]Junze Wang, Lei Fan, Weipeng Jing, Donglin Di, Yang Song, Sidong Liu, Cong Cong:
Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities. CoRR abs/2505.16809 (2025) - [i6]Haolong Jin, Shenglin Liu, Cong Cong, Qingmin Feng, Yongzhi Liu, Lina Huang, Yingzi Hu:
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation. CoRR abs/2506.15365 (2025) - [i5]Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su:
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. CoRR abs/2508.04044 (2025) - [i4]Linkuan Zhou, Zhexin Chen, Yufei Shen, Junlin Xu, Ping Xuan, Yixin Zhu, Yuqi Fang, Cong Cong, Leyi Wei, Ran Su, Jia Zhou, Qiangguo Jin:
ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images. CoRR abs/2508.19815 (2025) - [i3]Qiangguo Jin, Xianyao Zheng, Hui Cui, Changming Sun, Yuqi Fang, Cong Cong, Ran Su, Leyi Wei, Ping Xuan, Junbo Wang:
CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering. CoRR abs/2511.01357 (2025) - [i2]Yizhi Zhang, Lei Fan, Zhulin Tao, Donglin Di, Yang Song, Sidong Liu, Cong Cong:
Cross-Stain Contrastive Learning for Paired Immunohistochemistry and Histopathology Slide Representation Learning. CoRR abs/2512.03577 (2025) - 2024
- [b1]Cong Cong:
Computer Vision in Histopathology Image Analysis: Preprocessing and Classification. University of New South Wales, Sydney, Australia, 2024 - [j3]Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song:
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification. Expert Syst. Appl. 251: 123783 (2024) - [c8]Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song:
Decoupled Optimisation for Long-Tailed Visual Recognition. AAAI 2024: 1380-1388 - [c7]Kunzi Xie, Ruoyu Guo, Cong Cong, Maurice Pagnucco, Yang Song:
Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning. ECAI 2024: 354-361 - [c6]Wei Song, Cong Cong, Haonan Zhong, Jingling Xue:
Correction-based Defense Against Adversarial Video Attacks via Discretization-Enhanced Video Compressive Sensing. USENIX Security Symposium 2024 - [i1]Cong Cong, Shiyu Xuan, Sidong Liu, Maurice Pagnucco, Shiliang Zhang, Yang Song:
Dataset Distillation for Histopathology Image Classification. CoRR abs/2408.09709 (2024) - 2023
- [j2]Zhichao Yang, Cong Cong, Maurice Pagnucco, Yang Song:
Multi-scale multi-reception attention network for bone age assessment in X-ray images. Neural Networks 158: 249-257 (2023) - 2022
- [j1]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Colour adaptive generative networks for stain normalisation of histopathology images. Medical Image Anal. 82: 102580 (2022) - [c5]Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Yang Song:
Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network. ISBI 2022: 1-4 - [c4]Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song:
Adaptive Unified Contrastive Learning for Imbalanced Classification. MLMI@MICCAI 2022: 348-357 - 2021
- [c3]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images. ISBI 2021: 1949-1952 - [c2]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. MICCAI (8) 2021: 581-591 - 2020
- [c1]Cong Cong, Zhichao Yang, Yang Song, Maurice Pagnucco:
Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection. ICARCV 2020: 297-302
Coauthor Index
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