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2020 – today
- 2025
[j27]Jing Lou, Ruifang Liu, Jinlong Shu:
Toughness and distance spectral radius in graphs involving minimum degree. Discret. Appl. Math. 361: 34-47 (2025)- 2024
- [j26]Qixuan Yuan, Ruifang Liu, Jinjiang Yuan:
The spectral radius of H2k-free graphs. Appl. Math. Comput. 469: 128560 (2024) - [j25]Jie Xue, Ruifang Liu, Pei Liu:
Independence number and spectral radius of cactus graphs. Discret. Appl. Math. 351: 81-93 (2024) - [j24]Ao Fan, Ruifang Liu, Guoyan Ao:
Spectral radius, fractional [a,b]-factor and ID-factor-critical graphs. Discret. Math. 347(7): 113976 (2024) - [j23]Feiyu Lu
, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Ruifang Liu, Jianjun Xu, Jingyi Huo:
DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain. Reliab. Eng. Syst. Saf. 252: 110454 (2024) - [c36]Shijie Cheng, Ruifang Liu, Hao Wu, Keith Siu-Fung Sze, Qianjin Feng:
A Pulse Correlation Model for PPG Signal Quality Assessment and Key Pulse Extraction. AICAS 2024: 567-571 - [c35]Chenji Lu, Ge Bai, Shilong Li, Ying Liu, Xiyan Liu, Zerong Zeng, Ruifang Liu:
CausalME: Balancing bi-modalities in Visual Question Answering. ICASSP 2024: 10556-10560 - [c34]Shilong Li, Chenji Lu, Ge Bai, Ying Liu, Xiyan Liu, Zhang Zhang, Ruifang Liu:
CDUMA: An Adaptive Approach for Mitigating Confounder for MCQA. ICASSP 2024: 10566-10570 - [c33]Ying Liu, Ge Bai, Chenji Lu, Shilong Li, Zhang Zhang, Ruifang Liu, Wenbin Guo:
Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention. ICME 2024: 1-6 - [c32]Ruifang Liu, Shijie Cheng, Hao Wu, Keith Siu-Fung Sze, Qianjin Feng:
A Frequency-domain Features Based Clustering Algorithm for Blood Pressure Estimation with Photoplethysmogram Signal. ISCAS 2024: 1-5 - [c31]Ge Bai, Chenji Lu, Daichi Guo, Shilong Li, Ying Liu, Zhang Zhang, Guanting Dong, Ruifang Liu, Yong Sun:
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning. NAACL (Short Papers) 2024: 70-78 - [c30]Shilong Li, Ge Bai, Zhang Zhang, Ying Liu, Chenji Lu, Daichi Guo, Ruifang Liu, Yong Sun:
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction. NAACL (Short Papers) 2024: 79-85 - [i4]Shilong Li, Ge Bai, Zhang Zhang, Ying Liu, Chenji Lu, Daichi Guo, Ruifang Liu, Yong Sun:
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction. CoRR abs/2406.11429 (2024) - 2023
- [j22]Jie Xue, Ruifang Liu, Jiaxin Guo, Jinlong Shu:
The maximum spectral radius of irregular bipartite graphs. Adv. Appl. Math. 142: 102433 (2023) - [j21]Tingyan Ma, Guoyan Ao, Ruifang Liu, Ligong Wang, Yang Hu:
An improvement of sufficient condition for k-leaf-connected graphs. Discret. Appl. Math. 331: 1-10 (2023) - [j20]Lu Miao, Ruifang Liu, Jie Xue:
Maxima of the Q-index of non-bipartite graphs: Forbidden short odd cycles. Discret. Appl. Math. 340: 104-114 (2023) - [j19]Qixuan Yuan, Ruifang Liu, Jinjiang Yuan:
The Aα-spectral radius of nonregular graphs (digraphs) and maximum degree (outdegree). Discret. Optim. 47: 100758 (2023) - [j18]Guoyan Ao, Ruifang Liu, Jinjiang Yuan:
Spectral radius and spanning trees of graphs. Discret. Math. 346(8): 113400 (2023) - [c29]Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu:
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. AAAI 2023: 5213-5221 - [c28]Ge Bai, Chenji Lu, Jiaxiang Geng, Shilong Li, Yidong Shi, Xiyan Liu, Ying Liu, Zhang Zhang, Ruifang Liu:
Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction. EMNLP (Findings) 2023: 10533-10542 - [c27]Yanyi Chen, Ruifang Liu, Xiyan Liu, Yidong Shi, Ge Bai:
An Interpretable Model Using Evidence Information for Multi-Hop Question Answering Over Long Texts. ICASSP 2023: 1-5 - [c26]Xiyan Liu, Yidong Shi, Ruifang Liu, Ge Bai, Yanyi Chen:
Narrow Down Before Selection: A Dynamic Exclusion Model for Multiple-Choice QA. ICASSP 2023: 1-5 - [c25]Mingyang Sun, QiXiang Gao, Yutao Mou, Guanting Dong, Ruifang Liu, Wenbin Guo:
Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People. ICASSP Workshops 2023: 1-5 - [c24]Yuhang Hou, Xiyan Liu, Jiaxing Song, Yidong Shi, Ruifang Liu:
MGRE: A Multi-Granularity Representation Enhancement Method in Multiple-Choice Question Answering. ICNC-FSKD 2023: 1-5 - 2022
- [j17]Mingqing Zhai, Ruifang Liu, Jie Xue:
A Unique Characterization of Spectral Extrema for Friendship Graphs. Electron. J. Comb. 29(3) (2022) - [j16]Guoyan Ao, Ruifang Liu, Jinjiang Yuan, Rao Li:
Improved sufficient conditions for k-leaf-connected graphs. Discret. Appl. Math. 314: 17-30 (2022) - [j15]Ruifang Liu, Hong-Jian Lai, Rao Li:
Hamiltonian s-properties and eigenvalues of k-connected graphs. Discret. Math. 345(4): 112774 (2022) - [c23]Pengyao Yi, Ruifang Liu:
A Relation Enhanced Model For Abstractive Dialogue Summarization. CyberC 2022: 240-246 - [i3]Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu:
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. CoRR abs/2212.01117 (2022) - 2021
- [j14]Jie Xue, Ruifang Liu, Jinlong Shu:
On graphs whose third largest distance eigenvalue dose not exceed -1. Appl. Math. Comput. 402: 126137 (2021) - [c22]Ximing Zhang, Qian-Wen Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao:
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning. ACL/IJCNLP (Findings) 2021: 1190-1200 - [c21]Ximing Zhang, Ruifang Liu:
Jointly Learning Salience and Redundancy by Adaptive Sentence Reranking for Extractive Summarization. CCL 2021: 112-126 - [c20]Hongyu Chen, Ruifang Liu, Han Fang, Ximing Zhang:
Adaptive Re-Balancing Network with Gate Mechanism for Long-Tailed Visual Question Answering. ICASSP 2021: 3605-3609 - [c19]Hongyu Chen, Ruifang Liu, Bo Peng:
Cross-modal Relational Reasoning Network for Visual Question Answering. ICCVW 2021: 3939-3948 - [c18]Huan Wang, Zerong Zeng, Ruifang Liu, Sheng Gao:
A Federated Learning Based Chinese Text Classification Model with Parameter Factorization Weighting. IC-NIDC 2021: 299-303 - [c17]Chenyang Liao, Ruifang Liu, Sheng Gao:
DSAMT: Dual-Source Aligned Multimodal Transformers for TextCaps. IC-NIDC 2021: 373-377 - [c16]Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, Min-Ling Zhang:
Correlation-Guided Representation for Multi-Label Text Classification. IJCAI 2021: 3363-3369 - [i2]Ximing Zhang, Qian-Wen Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao:
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning. CoRR abs/2106.03103 (2021) - 2020
- [j13]Jie Xue, Ruifang Liu, Jinlong Shu:
Unimodality of Principal Eigenvector and its Applications. Graphs Comb. 36(4): 1177-1188 (2020)
2010 – 2019
- 2019
- [j12]Ruifang Liu, Erle Yang, Jiayao Chen, Shuangxia Niu:
Novel Bearing Current Suppression Approach in Doubly-Fed Induction Generators. IEEE Access 7: 171525-171532 (2019) - [j11]Ruifang Liu, Hong-Jian Lai, Yingzhi Tian, Yang Wu:
Vertex-connectivity and eigenvalues of graphs with fixed girth. Appl. Math. Comput. 344-345: 141-149 (2019) - [c15]Xiaoxiao Yin, Ruifang Liu, Daqi Zheng, Zhengdong Lu:
A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. ICNC-FSKD 2019: 63-71 - [c14]Yang Zheng, Ruifang Liu, Sheng Gao:
Multi-level Feature Combination in Dialogue State Tracking. ICNC-FSKD 2019: 72-80 - [c13]Hang Miao, Ruifang Liu, Sheng Gao:
Option Attentive Capsule Network for Multi-choice Reading Comprehension. ICONIP (3) 2019: 306-318 - [c12]Hang Miao, Ruifang Liu, Sheng Gao:
A Multiple Granularity Co-Reasoning Model for Multi-choice Reading Comprehension. IJCNN 2019: 1-7 - 2018
- [j10]Huicai Jia, Ruifang Liu, Xue Du:
Wiener index and Harary index on Hamilton-connected and traceable graphs. Ars Comb. 141: 53-62 (2018) - [c11]Xuming Lin, Ruifang Liu, Yiwei Li:
An Option Gate Module for Sentence Inference on Machine Reading Comprehension. CIKM 2018: 1743-1746 - [c10]Siyuan Gao, Ruifang Liu, Hang Miao:
A Gamma-Poisson Block Model for Community Detection in Directed Network. ICNC-FSKD 2018: 819-824 - [i1]Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, Ruifang Liu:
Neural Entity Reasoner for Global Consistency in NER. CoRR abs/1810.00347 (2018) - 2017
- [c9]Xuming Lin, Ruifang Liu, Wenmei Hu, Yameng Li, Xin Zhou, Xiao-Xin He:
A Deep Convolutional Network Demodulator for Mixed Signals with Different Modulation Types. DASC/PiCom/DataCom/CyberSciTech 2017: 893-896 - [c8]Wenmei Hu, Ruifang Liu, Xuming Lin, Yameng Li, Xin Zhou, Xiaoxin He:
A deep learning method to estimate independent source number. ICSAI 2017: 1055-1059 - 2016
- [c7]Danping Yin, Siyuan Gao, Zonghui Peng, Yameng Li, Ruifang Liu:
Beijing University of Posts and Telecommunications(BUPT) at TREC 2016: A Rating Model Based on Tags for ABSTRACT Contextual Suggestion. TREC 2016 - 2015
- [j9]Ruifang Liu, Wai Chee Shiu:
General Randić matrix and general Randić incidence matrix. Discret. Appl. Math. 186: 168-175 (2015) - [c6]Hongqiao Li, Ruifang Liu, Zhaoxiong Bao, Qinlong Wang:
An integrated model for detecting spam microblogs combining latent paragraph and user vector. ICNC 2015: 52-57 - [c5]Qinlong Wang, Ruifang Liu, Hongqiao Li, Wenbin Guo:
Topical Paragraph Vector learning. ICNC 2015: 182-187 - 2014
- [c4]Shan Feng, Ruifang Liu, Qinlong Wang, Ruisheng Shi:
Word distributed representation based text clustering. CCIS 2014: 389-393 - [c3]Ruifang Liu, Shan Feng, Ruisheng Shi, Wenbin Guo:
Weighted Graph Clustering for Community Detection of Large Social Networks. ITQM 2014: 85-94 - 2013
- [b1]Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui:
Network Robustness under Large-Scale Attacks. Springer Briefs in Computer Science, Springer 2013, ISBN 978-1-4614-4859-4, pp. i-viii, 1-41 - [j8]Ruifang Liu, Huicai Jia, Jinjiang Yuan:
Tree with minimal Laplacian spectral radius and diameter n-4. Ars Comb. 109: 345-352 (2013) - [c2]Chunyun Zhang, Weiran Xu, Ruifang Liu, Weitai Zhang, Dai Zhang, Janshu Ji, Jing Yang:
PRIS at TREC2013 Knowledge Base Acceleration Track. TREC 2013 - 2012
- [j7]Litao Guo, Ruifang Liu, Xiaofeng Guo:
Super λ3-optimality of regular graphs. Appl. Math. Lett. 25(2): 128-132 (2012) - [j6]Ruifang Liu, Huicai Jia, Jinlong Shu:
Minimizing the least eigenvalue of bicyclic graphs with k pendant vertices. Ars Comb. 103: 19-32 (2012) - [j5]Litao Guo, Ruifang Liu, Xiaofeng Guo:
Super Connectivity and Super Edge Connectivity of the Mycielskian of a Graph. Graphs Comb. 28(2): 143-147 (2012) - 2011
- [j4]Mingqing Zhai, Ruifang Liu, Jinlong Shu:
On the (Laplacian) spectral radius of bipartite graphs with given number of blocks. Ars Comb. 98: 311-319 (2011) - [j3]Ruifang Liu, Huicai Jia, Jinlong Shu:
On the spectra of tricyclic graphs. Ars Comb. 100: 19-32 (2011) - 2010
- [j2]Mingqing Zhai, Ruifang Liu, Jinlong Shu:
Minimizing the least eigenvalue of unicyclic graphs with fixed diameter. Discret. Math. 310(4): 947-955 (2010)
2000 – 2009
- 2009
- [j1]Ruifang Liu, Zhonghua Lu, Jinlong Shu:
The minimal Laplacian spectral radius of trees with a given diameter. Theor. Comput. Sci. 410(1): 78-83 (2009) - 2006
- [c1]Ruifang Liu, Wenbin Guo, Huimin Xu:
Using Multicast Dependence Tree Model for Network Delay Tomography. ICNS 2006: 2
Coauthor Index
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