Congbo Ma

Orcid: 0000-0002-3270-5609

According to our database1, Congbo Ma authored at least 25 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis.
CoRR, 2024

Rethinking Transformer-based Multi-document Summarization: An Empirical Investigation.
CoRR, 2024

Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities.
CoRR, 2024

An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space.
Proceedings of the ACM on Web Conference 2024, 2024

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Disentangling Specificity for Abstractive Multi-document Summarization.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography.
IEEE Trans. Comput. Soc. Syst., December, 2023

Multi-document Summarization via Deep Learning Techniques: A Survey.
ACM Comput. Surv., 2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.
CoRR, 2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization.
CoRR, 2022

Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization.
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

An Empirical Study on Topic Preservation in Multi-Document Summarization.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Learning From the Source Document: Unsupervised Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography.
CoRR, 2021

Kernel Agnostic Real-world Image Super-resolution.
CoRR, 2021

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline.
CoRR, 2021

Improving Deep Learning based Multi-document Summarization through Linguistic Knowledge.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Unsupervised Representation Learning by Predicting Random Distances.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

The 10 Research Topics in the Internet of Things.
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

2019
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Randomized online CP decomposition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
A Fast Image Matting Method Based on Interval-Line Sampling.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017


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