I am a postdoctoral research fellow at Macquarie University, working with Associate Professor Jia Wu. During my doctoral studies, I worked under the supervision of Dr. Wei (Emma) Zhang, Dr. Mingyu Guo and Dr. Weitong Chen at the University of Adelaide. Prior to this, I gained research experience as a research assistant while working under the supervision of Professor Steven Hoi at the Singapore Management University. My research interests lie in natural language processing, data mining, medical machine learning, and multi-modal learning, etc.
News
Publications
Disentangling Specificity for Abstractive Multi-Document Summarization.
C Ma, WE Zhang, H Wang, H ZHuang, M Guo
Accepted by WCCI-IJCNN 2024
To be appear
C Ma, WE Zhang, H Wang, H ZHuang, M Guo
Accepted by WCCI-IJCNN 2024
To be appear
An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space.
Z Qiu, C Ma, J Wu, J Yang
Accepted by WWW 2024
To be appear
Z Qiu, C Ma, J Wu, J Yang
Accepted by WWW 2024
To be appear
Learnable cross-modal knowledge distillation for multi-modal learning with missing modality.
H Wang, C Ma, J Zhang, Y Zhang, J Avery, L Hull, G Carneiro
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023)
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H Wang, C Ma, J Zhang, Y Zhang, J Avery, L Hull, G Carneiro
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023)
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Data hiding with deep learning: a survey unifying digital watermarking and steganography.
Z Wang, O Byrnes, H Wang, R Sun, C Ma, H Chen, Q Wu, M Xue
IEEE Transactions on Computational Social Systems
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Z Wang, O Byrnes, H Wang, R Sun, C Ma, H Chen, Q Wu, M Xue
IEEE Transactions on Computational Social Systems
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Multi-modal Learning with Missing Modality via Shared-Specific Feature Modeling.
H Wang, Y Chen, C Ma, J Avery, L Hull, G Carneiro
IEEE Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023)
[PDF]
H Wang, Y Chen, C Ma, J Avery, L Hull, G Carneiro
IEEE Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023)
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An Empirical Study on Topic
Preservation in Multi-Document Summarization.
M Sim, WE Zhang, C Ma
Asia-Pacific Chapter of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing (AACL-IJCNLP SRW 2022)
[PDF]
M Sim, WE Zhang, C Ma
Asia-Pacific Chapter of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing (AACL-IJCNLP SRW 2022)
[PDF]
Learning From the Source Document: Unsupervised Abstractive Summarization.
H Zhuang, WE Zhang, J Yang, C Ma, Y Qu and QZ Sheng.
2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings)
[PDF]
H Zhuang, WE Zhang, J Yang, C Ma, Y Qu and QZ Sheng.
2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings)
[PDF]
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization.
C Ma, WE Zhang, H Wang, S Gupta ,M Guo
Pacific Asia Conference on Language Information and Computation 2022 (PACLIC 2022)
[PDF]
C Ma, WE Zhang, H Wang, S Gupta ,M Guo
Pacific Asia Conference on Language Information and Computation 2022 (PACLIC 2022)
[PDF]
Combining Document-aware Encoding and Linguistic-guided Encoding for Abstractive
Multi-document Summarization.
C Ma, WE Zhang, PD Pitawela, Y Qu, H Zhuang, H Wang
IEEE World Congress on Computational Intelligence 2022 (WCCI 2022)
[PDF]
C Ma, WE Zhang, PD Pitawela, Y Qu, H Zhuang, H Wang
IEEE World Congress on Computational Intelligence 2022 (WCCI 2022)
[PDF]
Multi-document Summarization via Deep Learning Techniques: A Survey.
C Ma, WE Zhang, M Guo, H Wang, QZ Sheng
ACM Computing Survey (2022)
[PDF]
C Ma, WE Zhang, M Guo, H Wang, QZ Sheng
ACM Computing Survey (2022)
[PDF]
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction.
H Wang, J Zhang, Y Chen, C Ma, J Avery, L Hull, G Carneiro
European Conference on Computer Vision 2022 (ECCV 2022)
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H Wang, J Zhang, Y Chen, C Ma, J Avery, L Hull, G Carneiro
European Conference on Computer Vision 2022 (ECCV 2022)
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Improving Deep Learning based Multi-document Summarization through
Linguistic Knowledge.
C Ma
International ACM SIGIR Conference on Research and Development in Information Retrieval, Doctoral Consortium Paper (SIGIR’21)
[PDF]
C Ma
International ACM SIGIR Conference on Research and Development in Information Retrieval, Doctoral Consortium Paper (SIGIR’21)
[PDF]
The 10 research topics in the Internet of Things.
WE Zhang, QZ Sheng, A Mahmood, M Zaib, SAHamad, A Aljubairy, AAF Alhazmi, S Sagar, C Ma
IEEE 6th International Conference on Collaboration and Internet Computing 2020 (CIC 2020)
[PDF]
WE Zhang, QZ Sheng, A Mahmood, M Zaib, SAHamad, A Aljubairy, AAF Alhazmi, S Sagar, C Ma
IEEE 6th International Conference on Collaboration and Internet Computing 2020 (CIC 2020)
[PDF]
Multi-label thoracic disease image classification with cross-attention networks.
C Ma, H Wang, SCH Hoi
Medical Image Computing and Computer Assisted Interventions 2019 (MICCAI 2019)
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C Ma, H Wang, SCH Hoi
Medical Image Computing and Computer Assisted Interventions 2019 (MICCAI 2019)
[PDF]
Randomized online CP decomposition.
C Ma, X Yang, H Wang
International Conference on Advanced Computational Intelligence 2018 (ICACI 2018)
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C Ma, X Yang, H Wang
International Conference on Advanced Computational Intelligence 2018 (ICACI 2018)
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A Fast Image Matting Method based on Interval-line Sampling.
H Wang, Z Yang, C Ma
IEEE International Conference on Computational Science and Engineering 2017 (ICSE 2017)
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H Wang, Z Yang, C Ma
IEEE International Conference on Computational Science and Engineering 2017 (ICSE 2017)
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