| 2026 | ACL | HTMR: Hybrid Token Masking Reinforcement Learning with Verifiable Rewards for Event Argument Extraction with Multi-Perspective Reasoning. | Jianwen Luo, Yongkang Jin, Yu Hong, Jianmin Yao |
| 2025 | EMNLP | REAR: Reinforced Reasoning Optimization for Event Argument Extraction with Relation-Aware Support. | Jianwen Luo, Yu Hong, Shuai Yang, Jianmin Yao |
| 2025 | IJCNN | ICLR: Coupling In-Context Learning with Refiner for Aspect Term Extraction. | Chaoqun Liu, Yu Hong, Qingting Xu, Jianmin Yao |
| 2024 | CIKM | Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition. | Zhipang Wang, Yu Hong, Yuxiang Lu, Xiabing Zhou, Jianmin Yao, Guodong Zhou |
| 2024 | COLING | SGCM: Salience-Guided Context Modeling for Question Generation. | Chuyao Ding, Yu Hong, Jianmin Yao |
| 2024 | COLING | Demonstration Retrieval-Augmented Generative Event Argument Extraction. | Shiming He, Yu Hong, Shuai Yang, Jianmin Yao, Guodong Zhou |
| 2024 | COLING | Word-level Commonsense Knowledge Selection for Event Detection. | Shuai Yang, Yu Hong, Shiming He, Qingting Xu, Jianmin Yao |
| 2023 | ECIR | Intention-Aware Neural Networks for Question Paraphrase Identification. | Zhiling Jin, Yu Hong, Rui Peng, Jianmin Yao, Guodong Zhou |
| 2023 | ECIR | Feature Differentiation and Fusion for Semantic Text Matching. | Rui Peng, Yu Hong, Zhiling Jin, Jianmin Yao, Guodong Zhou |
| 2023 | EMNLP | Smart "Chef": Verifying the Effect of Role-based Paraphrasing for Aspect Term Extraction. | Jiaxiang Chen, Yu Hong, Qingting Xu, Jianmin Yao |
| 2023 | IJCNN | EBAMQ: Exposure Bias Alleviation via Moment Matching for Question Generation. | Dong Liu, Yu Hong, Chuyao Ding, Jianmin Yao, Guodong Zhou |
| 2023 | IJCNN | Question Generation via Generative Adversarial Networks. | Dong Liu, Yu Hong, Jianmin Yao, Guodong Zhou |
| 2023 | IJCNN | Data Augmentation via Back-translation for Aspect Term Extraction. | Qingting Xu, Yu Hong, Jiaxiang Chen, Jianmin Yao, Guodong Zhou |
| 2022 | COLING | Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection. | Zhongqiu Li, Yu Hong, Jie Wang, Shiming He, Jianmin Yao, Guodong Zhou |
| 2022 | COLING | Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation. | Xiaolin Xing, Yu Hong, Minhan Xu, Jianmin Yao, Guodong Zhou |
| 2022 | ECIR | Bi-granularity Adversarial Training for Non-factoid Answer Retrieval. | Zhiling Jin, Yu Hong, Hongyu Zhu, Jianmin Yao, Min Zhang |
| 2022 | IJCNN | Aspect Term Extraction via Contrastive Learning over Self-augmented Data. | Yuchen Pan, Yu Hong, Qingting Xu, Jiaxiang Chen, Jianmin Yao |
| 2022 | ICTAI | Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features. | Jiaxiang Chen, Yu Hong, Qingting Xu, Jianmin Yao, Guodong Zhou |
| 2022 | ICTAI | Event Detection with Cross-Sentence Graph Convolutional Networks. | Shiming He, Yu Hong, Zhongqiu Li, Jianmin Yao, Guodong Zhou |
| 2022 | ICTAI | Concession-First Learning and Coarse-to-Fine Retrieval for Open-Domain Conversational Question Answering. | Xibo Li, Bowei Zou, Mengxing Dong, Jianmin Yao, Yu Hong |
| 2020 | ACL | Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction. | Zhenkai Wei, Yu Hong, Bowei Zou, Meng Cheng, Jianmin Yao |
| 2018 | COLING | Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition. | Yu Hong, Yang Xu, Huibin Ruan, Bowei Zou, Jianmin Yao, Guodong Zhou |
| 2018 | EMNLP | Using Active Learning to Expand Training Data for Implicit Discourse Relation Recognition. | Yang Xu, Yu Hong, Huibin Ruan, Jianmin Yao, Min Zhang, Guodong Zhou |
| 2006 | PRIMA | Research on Algorithms of Gabor Wavelet Neural Network Based on Parallel Structure. | Tingfa Xu, Zefeng Nie, Jianmin Yao, Guoqiang Ni |