| 2025 | COLING | medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs. | Mingyi Jia, Junwen Duan, Yan Song, Jianxin Wang |
| 2025 | COLING | RUIE: Retrieval-based Unified Information Extraction using Large Language Model. | Xincheng Liao, Junwen Duan, Yixi Huang, Jianxin Wang |
| 2025 | EMNLP | DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration. | Zhihao Jia, Mingyi Jia, Junwen Duan, Jian-xin Wang |
| 2025 | ICIP | GMD: A Multimodal Framework for AI-Generated Misinformation Detection. | Junwen Duan, Wuyue Zhang, Zhende Liu |
| 2025 | Mobisys | SigChord: Sniffing Wide Non-sparse Multiband Signals for Terrestrial and Non-terrestrial Networks. | Jinbo Peng, Junwen Duan, Zheng Lin, Haoxuan Yuan, Yue Gao, Zhe Chen |
| 2025 | NAACL | Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models. | Siyin Wang, Xingsong Ye, Qinyuan Cheng, Junwen Duan, Shimin Li, Jinlan Fu, Xipeng Qiu, Xuanjing Huang |
| 2024 | AAAI | Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. | Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu |
| 2024 | ACL | Multi-modal Concept Alignment Pre-training for Generative Medical Visual Question Answering. | Quan Yan, Junwen Duan, Jianxin Wang |
| 2024 | EMNLP | MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction. | Han Jiang, Junwen Duan, Zhe Qu, Jianxin Wang |
| 2024 | Interspeech | Pre-trained Feature Fusion and Matching for Mild Cognitive Impairment Detection. | Junwen Duan, Fangyuan Wei, Hong-Dong Li, Jin Liu |
| 2023 | ACL | CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection. | Junwen Duan, Fangyuan Wei, Jin Liu, Hongdong Li, Tianming Liu, Jianxin Wang |
| 2023 | ECAI | FBC: Fusing Bi-Encoder and Cross-Encoder for Long-Form Text Matching. | Jianbo Liao, Mingyi Jia, Junwen Duan, Jianxin Wang |
| 2023 | EMNLP | Towards Better Representations for Multi-Label Text Classification with Multi-granularity Information. | Fangfang Li, Puzhen Su, Junwen Duan, Weidong Xiao |
| 2023 | ICASSP | MHLAT: Multi-Hop Label-Wise Attention Model for Automatic ICD Coding. | Junwen Duan, Han Jiang, Ying Yu |
| 2022 | EMNLP | WSpeller: Robust Word Segmentation for Enhancing Chinese Spelling Check. | Fangfang Li, Youran Shan, Junwen Duan, Xingliang Mao, Minlie Huang |
| 2019 | EMNLP | Event Representation Learning Enhanced with External Commonsense Knowledge. | Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan |
| 2018 | COLING | Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction. | Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu |
| 2018 | NAACL | Learning Sentence Representations over Tree Structures for Target-Dependent Classification. | Junwen Duan, Xiao Ding, Ting Liu |
| 2016 | COLING | Knowledge-Driven Event Embedding for Stock Prediction. | Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan |
| 2015 | AAAI | Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network. | Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie |
| 2015 | IJCAI | Deep Learning for Event-Driven Stock Prediction. | Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan |
| 2014 | EMNLP | Using Structured Events to Predict Stock Price Movement: An Empirical Investigation. | Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan |