| 2026 | ACL | MedErrBench: A Fine-Grained Multilingual Benchmark for Medical Error Detection and Correction with Clinical Expert Annotations. | Congbo Ma, Yichun Zhang, Yousef Al-Jazzazi, Ahamed Foisal, Laasya Sharma, Yousra Sadqi, Khaled Saleh, Jihad Mallat, Farah E. Shamout |
| 2026 | WWW | LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection. | Zitai Qiu, Rongwei Xu, Congbo Ma, Shan Xue, Jian Yang, Guanfeng Liu, Quan Z. Sheng, Amin Beheshti, Jia Wu |
| 2026 | WWW | PIGCN: Physics-Inspired Graph Convolution Networks for Heterogeneous Social Event Detection. | Yongsheng Yu, Congbo Ma, Zitai Qiu, Shan Xue, Jian Yang, Jia Wu |
| 2025 | ACL | HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs. | Qing Li, Jiahui Geng, Zongxiong Chen, Derui Zhu, Yuxia Wang, Congbo Ma, Chenyang Lyu, Fakhri Karray |
| 2025 | ACL | Explicit and Implicit Data Augmentation for Social Event Detection. | Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov |
| 2025 | ACL | Text is All You Need: LLM-enhanced Incremental Social Event Detection. | Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang |
| 2025 | ADMA | Rethinking Transformer-Based Multi-Document Summarization: An Empirical Investigation. | Congbo Ma, Wei Zhang, Dileepa Pitawela, Haojie Zhuang, Yanfeng Shu, Qing Li, Hu Wang |
| 2025 | WWW | Enhanced Social Event Detection through Dynamically Weighted Meta-Paths Modeling. | Congbo Ma, Zitai Qiu, Hu Wang, Jing Du, Shan Xue, Jia Wu, Jian Yang |
| 2024 | ADMA | Enhancing Chemistry-Domain Scientific Paper Summarization by Knowledge Graphs. | Yutong Qu, Jian Yang, Weitong Chen, Yan Jiao, Lishan Yang, Congbo Ma |
| 2024 | IJCNN | Disentangling Specificity for Abstractive Multi-document Summarization. | Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo |
| 2024 | MICCAI | Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. | Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral |
| 2024 | WWW | An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space. | Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang |
| 2023 | CVPR | Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. | Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro |
| 2023 | MICCAI | Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. | Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Louise Hull, Gustavo Carneiro |
| 2022 | ECCV | Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. | Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro |
| 2022 | EMNLP | Learning From the Source Document: Unsupervised Abstractive Summarization. | Haojie Zhuang, Wei Emma Zhang, Jian Yang, Congbo Ma, Yutong Qu, Quan Z. Sheng |
| 2022 | IJCNLP | An Empirical Study on Topic Preservation in Multi-Document Summarization. | Mong Yuan Sim, Wei Emma Zhang, Congbo Ma |
| 2022 | PACLIC | Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. | Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo |
| 2021 | SIGIR | Improving Deep Learning based Multi-document Summarization through Linguistic Knowledge. | Congbo Ma |
| 2020 | IJCAI | Unsupervised Representation Learning by Predicting Random Distances. | Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma |
| 2019 | MICCAI | Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. | Congbo Ma, Hu Wang, Steven C. H. Hoi |