Biography
I am a third-year joint Phd student, advised by Prof. Maggie,
Wenjie
Li@NLP Group, PolyU and Prof. Jiang Liu@iMED Shenzhen,
SUSTech. I received my Master's degree
from China Agricultural University (CAU) in 2020, and Bachelor's degree from
Guangdong University of Technology (GDUT) in 2017.
Always open to collaboration. Feel free to drop an email and I'll be happy to have a discussion. 😁
Research
Currently, I am working on Medical Natural Language Processing and Medical Multimodal Learning. Especially, I
focus on the following directions:
- Medical Report Generation:
- Healthcare Agents: interested in developing healthcare agents that can utilize other medical
applications (e.g., medical report generation systems) and provide consultations (DFMed@ACL'23 Findings and IADDx).
Publications
Preprint
-
ICon: Improving Inter-Report Consistency of Radiology
Report Generation via Lesion-aware Mix-up
Augmentation
Wenjun Hou, Yi
Cheng*, Kaishuai Xu*, Yan Hu,
Wenjie
Li, Jiang Liu. (*: Equal Contribution)
arXiv:2402.12844, 2024.
[project][arXiv][code]
-
Medical Dialogue Generation via Intuitive-then-Analytical Differential Diagnosis
Kaishuai Xu, Wenjun Hou*, Yi
Cheng*, Jian Wang,
Wenjie
Li. (*: Equal Contribution)
arXiv:2401.06541, 2024.
[arXiv]
2021 - Present
-
Recap:
Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning
Wenjun Hou, Yi Cheng*, Kaishuai Xu*, Wenjie
Li, Jiang Liu. (*:
Equal Contribution)
In Findings of the Association for Computational Linguistics: EMNLP 2023 (EMNLP Findings),
2023.
[project][arXiv][code]
-
ORGan:
Observation-Guided Radiology Report Generation via Tree Reasoning
Wenjun Hou, Kaishuai Xu*, Yi Cheng*, Wenjie
Li, Jiang Liu. (*: Equal Contribution)
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics
(ACL), 2023.
[project][arXiv][code]
-
Medical Dialogue Generation via Dual Flow
Modeling
Kaishuai Xu, Wenjun Hou*, Yi Cheng*, Jian Wang,
Wenjie
Li. (*:
Equal Contribution)
In Findings of the Association for Computational Linguistics: ACL 2023 (ACL Findings),
2023.
[arXiv][code]
2018 - 2020 (Before PhD)
-
End-to-End Emotion-Cause Pair Extraction with
Graph Convolutional Network
Ying Chen, Wenjun Hou, Shoushan Li, Caicong Wu, Xiaoqiang Zhang.
In Proceedings of the 28th International Conference on Computational Linguistics (COLING),
2020.
[code]
-
Sentence-Level Propaganda Detection Using BERT with
Context-Dependent Input Pairs
Wenjun Hou, Ying Chen.
In Proceedings of the 2nd Workshop on NLP for Internet Freedom: Censorship, Disinformation, and
Propaganda (NLP4IF), 2019.
[code]
-
Joint Learning for Emotion Classification and Emotion
Cause
Detection
Ying Chen, Wenjun Hou, Xiyao Cheng, Shoushan Li.
In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
(EMNLP), 2018.
-
Hierarchical Convolutional Neural
Network for Emotion Cause Detection on Microblogs
Ying Chen, Wenjun Hou, Xiyao Cheng.
International Conference on Artificial Neural Networks (ICANN), 2018.
Experience
-
Research Intern, DiDi Global, 12/2018 - 03/2019.
Professional Activities
Teaching Assistant
-
TA for COMP4424 Extended Reality: Theory and Practice, Spring 2023, PolyU.
-
TA for COMP2S01 Technology Beyond Borders: Service Learning Across Cultural, Ethnic and Community Lines, Fall
2022 / Spring 2022 / Fall 2021, PolyU.
-
TA for Computational Methods, Fall 2019, CAU.
Conference Reviewer
-
ACL ARR (2024), EMNLP (2023, 2022), COLING (2024, 2022)