| 2024 | ICASSP | CDUMA: An Adaptive Approach for Mitigating Confounder for MCQA. | Shilong Li, Chenji Lu, Ge Bai, Ying Liu, Xiyan Liu, Zhang Zhang, Ruifang Liu |
| 2024 | ICASSP | CausalME: Balancing bi-modalities in Visual Question Answering. | Chenji Lu, Ge Bai, Shilong Li, Ying Liu, Xiyan Liu, Zerong Zeng, Ruifang Liu |
| 2024 | ISCAS | A Frequency-domain Features Based Clustering Algorithm for Blood Pressure Estimation with Photoplethysmogram Signal. | Ruifang Liu, Shijie Cheng, Hao Wu, Keith Siu-Fung Sze, Qianjin Feng |
| 2024 | NAACL | Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning. | Ge Bai, Chenji Lu, Daichi Guo, Shilong Li, Ying Liu, Zhang Zhang, Guanting Dong, Ruifang Liu, Yong Sun |
| 2024 | NAACL | Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction. | Shilong Li, Ge Bai, Zhang Zhang, Ying Liu, Chenji Lu, Daichi Guo, Ruifang Liu, Yong Sun |
| 2023 | AAAI | Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. | Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu |
| 2023 | EMNLP | Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction. | Ge Bai, Chenji Lu, Jiaxiang Geng, Shilong Li, Yidong Shi, Xiyan Liu, Ying Liu, Zhang Zhang, Ruifang Liu |
| 2023 | ICASSP | An Interpretable Model Using Evidence Information for Multi-Hop Question Answering Over Long Texts. | Yanyi Chen, Ruifang Liu, Xiyan Liu, Yidong Shi, Ge Bai |
| 2023 | ICASSP | Narrow Down Before Selection: A Dynamic Exclusion Model for Multiple-Choice QA. | Xiyan Liu, Yidong Shi, Ruifang Liu, Ge Bai, Yanyi Chen |
| 2023 | ICASSP | Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People. | Mingyang Sun, QiXiang Gao, Yutao Mou, Guanting Dong, Ruifang Liu, Wenbin Guo |
| 2023 | ICNC | MGRE: A Multi-Granularity Representation Enhancement Method in Multiple-Choice Question Answering. | Yuhang Hou, Xiyan Liu, Jiaxing Song, Yidong Shi, Ruifang Liu |
| 2021 | ACL | Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning. | Ximing Zhang, Qian-Wen Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao |
| 2021 | ICASSP | Adaptive Re-Balancing Network with Gate Mechanism for Long-Tailed Visual Question Answering. | Hongyu Chen, Ruifang Liu, Han Fang, Ximing Zhang |
| 2021 | IJCAI | Correlation-Guided Representation for Multi-Label Text Classification. | Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, Min-Ling Zhang |
| 2019 | ICNC | A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. | Xiaoxiao Yin, Ruifang Liu, Daqi Zheng, Zhengdong Lu |
| 2019 | ICNC | Multi-level Feature Combination in Dialogue State Tracking. | Yang Zheng, Ruifang Liu, Sheng Gao |
| 2019 | ICONIP | Option Attentive Capsule Network for Multi-choice Reading Comprehension. | Hang Miao, Ruifang Liu, Sheng Gao |
| 2019 | IJCNN | A Multiple Granularity Co-Reasoning Model for Multi-choice Reading Comprehension. | Hang Miao, Ruifang Liu, Sheng Gao |
| 2018 | CIKM | An Option Gate Module for Sentence Inference on Machine Reading Comprehension. | Xuming Lin, Ruifang Liu, Yiwei Li |
| 2018 | ICNC | A Gamma-Poisson Block Model for Community Detection in Directed Network. | Siyuan Gao, Ruifang Liu, Hang Miao |
| 2017 | DASC | A Deep Convolutional Network Demodulator for Mixed Signals with Different Modulation Types. | Xuming Lin, Ruifang Liu, Wenmei Hu, Yameng Li, Xin Zhou, Xiao-Xin He |
| 2015 | ICNC | An integrated model for detecting spam microblogs combining latent paragraph and user vector. | Hongqiao Li, Ruifang Liu, Zhaoxiong Bao, Qinlong Wang |
| 2015 | ICNC | Topical Paragraph Vector learning. | Qinlong Wang, Ruifang Liu, Hongqiao Li, Wenbin Guo |