Using Structured Events to Predict Stock Price Movement: An Empirical Investigation. - Xiao Ding; Yue Zhang 004; Ting Liu 001; Junwen Duan (EMNLP, 2014)

Mining Intention-Related Products on Online Q&A Community. - Junwen Duan; Xiao Ding; Ting Liu 001 (SMP, 2014)

Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network. - Xiao Ding; Ting Liu 001; Junwen Duan; Jian-Yun Nie (AAAI, 2015)

Deep Learning for Event-Driven Stock Prediction. - Xiao Ding; Yue Zhang 004; Ting Liu 001; Junwen Duan (IJCAI, 2015)

A Gaussian Copula Regression Model for Movie Box-office Revenue Prediction with Social Media. - Junwen Duan; Xiao Ding; Ting Liu 001 (SMP, 2015)

Mining Intention-Related Products on Online Q&A Community. - Junwen Duan; Yiheng Chen; Ting Liu 001; Xiao Ding (J. Comput. Sci. Technol., 2015)

Knowledge-Driven Event Embedding for Stock Prediction. - Xiao Ding; Yue Zhang 004; Ting Liu 001; Junwen Duan (COLING, 2016)

A Gaussian copula regression model for movie box-office revenues prediction. - Junwen Duan; Xiao Ding; Ting Liu 001 (Sci. China Inf. Sci., 2017)

Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction. - Junwen Duan; Yue Zhang 004; Xiao Ding; Ching-Yun Chang; Ting Liu 001 (COLING, 2018)

Learning Sentence Representations over Tree Structures for Target-Dependent Classification. - Junwen Duan; Xiao Ding; Ting Liu 001 (NAACL-HLT, 2018)

Event Representation Learning Enhanced with External Commonsense Knowledge. - Xiao Ding; Kuo Liao; Ting Liu 001; Zhongyang Li; Junwen Duan (EMNLP/IJCNLP (1), 2019)

TEND: A Target-Dependent Representation Learning Framework for News Document. - Junwen Duan; Xiao Ding; Yue Zhang 004; Ting Liu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

EFCA: An Extended Formal Concept Analysis Method for Aspect Extraction in Healthcare Informatics. - Zohair Ahmed; Junwen Duan; Fang-Xiang Wu; Jianxin Wang 001 (BIBM, 2021)

nPTAS: A Novel Platform for Text Annotation and Service. - Xuehong Wu; Junwen Duan; Jianhua Li; Min Li 007 (BIBM, 2021)

Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process. - Xiao Ding; Jihao Shi; Junwen Duan; Bing Qin 001; Ting Liu 001 (Sci. China Inf. Sci., 2021)

ASNet: An Adversarial Sparse Network for Multi-task Biomedical Named Entity Recognition. - Junwen Duan; Huai Guo; Min Zeng; Jianxin Wang 001 (BIBM, 2022)

WSpeller: Robust Word Segmentation for Enhancing Chinese Spelling Check. - Fangfang Li; Youran Shan; Junwen Duan; Xingliang Mao; Minlie Huang (EMNLP (Findings), 2022)

Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension. - Shuyue Liu; Junwen Duan; Feng Gong; Hailin Yue; Jianxin Wang 001 (ISBRA, 2022)

Automatic ICD Coding Based on Multi-granularity Feature Fusion. - Ying Yu; Junwen Duan; Han Jiang; Jian-Xin Wang 001 (ISBRA, 2022)

Multi-task deep learning model based on hierarchical relations of address elements for semantic address matching. - Fangfang Li 004; Yiheng Lu; Xingliang Mao; Junwen Duan; Xiyao Liu 001 (Neural Comput. Appl., 2022)

CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection. - Junwen Duan; Fangyuan Wei; Jin Liu 012; Hongdong Li; Tianming Liu 001; Jianxin Wang 001 (ACL (Findings), 2023)

FBC: Fusing Bi-Encoder and Cross-Encoder for Long-Form Text Matching. - Jianbo Liao; Mingyi Jia; Junwen Duan; Jianxin Wang 001 (ECAI, 2023)

Towards Better Representations for Multi-Label Text Classification with Multi-granularity Information. - Fangfang Li; Puzhen Su; Junwen Duan; Weidong Xiao (EMNLP (Findings), 2023)

MHLAT: Multi-Hop Label-Wise Attention Model for Automatic ICD Coding. - Junwen Duan; Han Jiang; Ying Yu (ICASSP, 2023)

Enhancing Database Principles Teaching with ChatGPT-Like Language Models. - Junwen Duan; Fei Guo 001; Jin Liu 012; Hongdong Li (ICCSE (1), 2023)

Training Methods of Innovative Talents in Medical Imaging Informatics Under the Background of New Engineering. - Jin Liu; Qian Bi; Ping Zhong; Hong-Dong Li; Fei Guo; Junwen Duan (ICCSE (3), 2023)

Breaking the Complexity Barrier in Compositional Minimax Optimization. - Jin Liu 012; Xiaokang Pan; Junwen Duan; Hongdong Li; Youqi Li; Zhe Qu (CoRR, 2023)

You Only Forward Once: Prediction and Rationalization in A Single Forward Pass. - Han Jiang; Junwen Duan; Zhe Qu; Jianxin Wang 001 (CoRR, 2023)

IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction. - Mingliang Dou; Jiaqi Ding; Genlang Chen; Junwen Duan; Fei Guo 001; Jijun Tang (Briefings Bioinform., 2023)

Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications. - Xuehong Wu; Junwen Duan; Yi Pan 001; Min Li 007 (Big Data Min. Anal., 2023)

Multigranularity Label Prediction Model for Automatic International Classification of Diseases Coding in Clinical Text. - Ying Yu; Tian Qiu; Junwen Duan; Jian-Xin Wang 001 (J. Comput. Biol., 2023)

LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism. - Min Zeng; Yifan Wu 008; Yiming Li; Rui Yin 002; Chengqian Lu; Junwen Duan; Min Li 007 (Bioinform., 2023)

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. - Jin Liu 012; Xiaokang Pan; Junwen Duan; Hongdong Li; Youqi Li; Zhe Qu (AAAI, 2024)

Multi-modal Concept Alignment Pre-training for Generative Medical Visual Question Answering. - Quan Yan; Junwen Duan; Jianxin Wang 001 (ACL (Findings), 2024)

MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction. - Han Jiang; Junwen Duan; Zhe Qu; Jianxin Wang 001 (EMNLP, 2024)

Pre-trained Feature Fusion and Matching for Mild Cognitive Impairment Detection. - Junwen Duan; Fangyuan Wei; Hong-Dong Li; Jin Liu (INTERSPEECH, 2024)

KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt. - Junwen Duan; Xincheng Liao; Ying An; Jianxin Wang 001 (Big Data Min. Anal., 2024)

KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection. - Quan Yan; Junwen Duan; Jianxin Wang (Big Data Min. Anal., 2024)

medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs. - Mingyi Jia; Junwen Duan; Yan Song; Jianxin Wang 001 (CoRR, 2024)

Cross-Modality Safety Alignment. - Siyin Wang; Xingsong Ye; Qinyuan Cheng; Junwen Duan; Shimin Li; Jinlan Fu; Xipeng Qiu; Xuanjing Huang 001 (CoRR, 2024)

Boundary-Aware Dual Biaffine Model for Sequential Sentence Classification in Biomedical Documents. - Junwen Duan; Huai Guo; Han Jiang; Fei Guo 001; Jian-xin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Chinese EMR Named Entity Recognition Using Fused Label Relations Based on Machine Reading Comprehension Framework. - Junwen Duan; Shuyue Liu; Xincheng Liao; Feng Gong; Hailin Yue; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Exploiting Conversation-Branch-Tweet HyperGraph Structure to Detect Misinformation on Social Media. - Fangfang Li 004; Zhi Liu; Junwen Duan; Xingliang Mao; Heyuan Shi; Shichao Zhang 001 (ACM Trans. Knowl. Discov. Data, 2024)

HyperMatch: long-form text matching via hypergraph convolutional networks. - Junwen Duan; Mingyi Jia; Jianbo Liao; Jian-Xin Wang 001 (Knowl. Inf. Syst., 2024)

medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs. - Mingyi Jia; Junwen Duan; Yan Song; Jianxin Wang (COLING, 2025)

RUIE: Retrieval-based Unified Information Extraction using Large Language Model. - Xincheng Liao; Junwen Duan; Yixi Huang; Jianxin Wang 001 (COLING, 2025)

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 001 (NAACL (Findings), 2025)

Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model. - Fangfang Li; Jie Jiang; Dafu Tang; Youran Shan; Junwen Duan; Shichao Zhang (Knowl. Inf. Syst., 2025)

FIND: Fine-grained Information Density Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis. - Mingyi Jia; Junwen Duan; Yan Song; Jianxin Wang (CoRR, 2025)

SigChord: Sniffing Wide Non-sparse Multiband Signals for Terrestrial and Non-terrestrial Wireless Networks. - Jinbo Peng; Junwen Duan; Zheng Lin; Haoxuan Yuan; Yue Gao 001; Zhe Chen (CoRR, 2025)

CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection. - Yuanzhuo Wang; Junwen Duan; Xinyu Li; Jianxin Wang (CoRR, 2025)

DDO: Dual-Decision Optimization via Multi-Agent Collaboration for LLM-Based Medical Consultation. - Zhihao Jia; Mingyi Jia; Junwen Duan; Jianxin Wang (CoRR, 2025)

Computed Tomography Visual Question Answering with Cross-modal Feature Graphing. - Yuanhe Tian; Chen Su; Junwen Duan; Yan Song (CoRR, 2025)

OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration. - Junwen Duan; Wei Xue; Ziyao Kang; Shixia Liu; Jiazhi Xia (CoRR, 2025)