Using Multicast Dependence Tree Model for Network Delay Tomography. - Ruifang Liu; Wenbin Guo; Huimin Xu (ICNS, 2006)

The minimal Laplacian spectral radius of trees with a given diameter. - Ruifang Liu; Zhonghua Lu; Jinlong Shu (Theor. Comput. Sci., 2009)

Minimizing the least eigenvalue of unicyclic graphs with fixed diameter. - Mingqing Zhai; Ruifang Liu; Jinlong Shu (Discret. Math., 2010)

On the spectra of tricyclic graphs. - Ruifang Liu; Huicai Jia; Jinlong Shu (Ars Comb., 2011)

On the (Laplacian) spectral radius of bipartite graphs with given number of blocks. - Mingqing Zhai; Ruifang Liu; Jinlong Shu (Ars Comb., 2011)

Super λ3-optimality of regular graphs. - Litao Guo; Ruifang Liu; Xiaofeng Guo (Appl. Math. Lett., 2012)

Minimizing the least eigenvalue of bicyclic graphs with k pendant vertices. - Ruifang Liu; Huicai Jia; Jinlong Shu (Ars Comb., 2012)

Super Connectivity and Super Edge Connectivity of the Mycielskian of a Graph. - Litao Guo; Ruifang Liu; Xiaofeng Guo (Graphs Comb., 2012)

PRIS at TREC2013 Knowledge Base Acceleration Track. - Chunyun Zhang; Weiran Xu; Ruifang Liu; Weitai Zhang; Dai Zhang; Janshu Ji; Jing Yang (TREC, 2013)

Tree with minimal Laplacian spectral radius and diameter n-4. - Ruifang Liu; Huicai Jia; Jinjiang Yuan (Ars Comb., 2013)

Network Robustness under Large-Scale Attacks. - Qing Zhou; Long Gao 001; Ruifang Liu; Shuguang Cui (Springer, 2013)

Word distributed representation based text clustering. - Shan Feng; Ruifang Liu; Qinlong Wang; Ruisheng Shi (CCIS, 2014)

Weighted Graph Clustering for Community Detection of Large Social Networks. - Ruifang Liu; Shan Feng; Ruisheng Shi; Wenbin Guo (ITQM, 2014)

An integrated model for detecting spam microblogs combining latent paragraph and user vector. - Hongqiao Li; Ruifang Liu; Zhaoxiong Bao; Qinlong Wang (ICNC, 2015)

Topical Paragraph Vector learning. - Qinlong Wang; Ruifang Liu; Hongqiao Li; Wenbin Guo (ICNC, 2015)

General Randić matrix and general Randić incidence matrix. - Ruifang Liu; Wai Chee Shiu (Discret. Appl. Math., 2015)

Beijing University of Posts and Telecommunications(BUPT) at TREC 2016: A Rating Model Based on Tags for ABSTRACT Contextual Suggestion. - Danping Yin; Siyuan Gao; Zonghui Peng; Yameng Li; Ruifang Liu (TREC, 2016)

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 (DASC/PiCom/DataCom/CyberSciTech, 2017)

A deep learning method to estimate independent source number. - Wenmei Hu; Ruifang Liu; Xuming Lin; Yameng Li; Xin Zhou; Xiaoxin He (ICSAI, 2017)

An Option Gate Module for Sentence Inference on Machine Reading Comprehension. - Xuming Lin; Ruifang Liu; Yiwei Li (CIKM, 2018)

A Gamma-Poisson Block Model for Community Detection in Directed Network. - Siyuan Gao; Ruifang Liu; Hang Miao (ICNC-FSKD, 2018)

Wiener index and Harary index on Hamilton-connected and traceable graphs. - Huicai Jia; Ruifang Liu; Xue Du (Ars Comb., 2018)

Neural Entity Reasoner for Global Consistency in NER. - Xiaoxiao Yin; Daqi Zheng; Zhengdong Lu; Ruifang Liu (CoRR, 2018)

A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. - Xiaoxiao Yin; Ruifang Liu; Daqi Zheng; Zhengdong Lu (ICNC-FSKD, 2019)

Multi-level Feature Combination in Dialogue State Tracking. - Yang Zheng; Ruifang Liu; Sheng Gao (ICNC-FSKD, 2019)

Option Attentive Capsule Network for Multi-choice Reading Comprehension. - Hang Miao; Ruifang Liu; Sheng Gao (ICONIP (3), 2019)

A Multiple Granularity Co-Reasoning Model for Multi-choice Reading Comprehension. - Hang Miao; Ruifang Liu; Sheng Gao (IJCNN, 2019)

Novel Bearing Current Suppression Approach in Doubly-Fed Induction Generators. - Ruifang Liu; Erle Yang; Jiayao Chen; Shuangxia Niu (IEEE Access, 2019)

Vertex-connectivity and eigenvalues of graphs with fixed girth. - Ruifang Liu; Hong-Jian Lai; Yingzhi Tian; Yang Wu 007 (Appl. Math. Comput., 2019)

Unimodality of Principal Eigenvector and its Applications. - Jie Xue 004; Ruifang Liu; Jinlong Shu (Graphs Comb., 2020)

Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning. - Ximing Zhang; Qian-Wen Zhang; Zhao Yan; Ruifang Liu; Yunbo Cao (ACL/IJCNLP (Findings), 2021)

Jointly Learning Salience and Redundancy by Adaptive Sentence Reranking for Extractive Summarization. - Ximing Zhang; Ruifang Liu (CCL, 2021)

Adaptive Re-Balancing Network with Gate Mechanism for Long-Tailed Visual Question Answering. - Hongyu Chen 005; Ruifang Liu; Han Fang; Ximing Zhang (ICASSP, 2021)

Cross-modal Relational Reasoning Network for Visual Question Answering. - Hongyu Chen 005; Ruifang Liu; Bo Peng (ICCVW, 2021)

DSAMT: Dual-Source Aligned Multimodal Transformers for TextCaps. - Chenyang Liao; Ruifang Liu; Sheng Gao (IC-NIDC, 2021)

A Federated Learning Based Chinese Text Classification Model with Parameter Factorization Weighting. - Huan Wang; Zerong Zeng; Ruifang Liu; Sheng Gao (IC-NIDC, 2021)

Correlation-Guided Representation for Multi-Label Text Classification. - Qian-Wen Zhang; Ximing Zhang; Zhao Yan; Ruifang Liu; Yunbo Cao; Min-Ling Zhang (IJCAI, 2021)

On graphs whose third largest distance eigenvalue dose not exceed -1. - Jie Xue 004; Ruifang Liu; Jinlong Shu (Appl. Math. Comput., 2021)

A Relation Enhanced Model For Abstractive Dialogue Summarization. - Pengyao Yi; Ruifang Liu (CyberC, 2022)

A Unique Characterization of Spectral Extrema for Friendship Graphs. - Mingqing Zhai; Ruifang Liu; Jie Xue 004 (Electron. J. Comb., 2022)

Improved sufficient conditions for k-leaf-connected graphs. - Guoyan Ao; Ruifang Liu; Jinjiang Yuan; Rao Li (Discret. Appl. Math., 2022)

Hamiltonian s-properties and eigenvalues of k-connected graphs. - Ruifang Liu; Hong-Jian Lai; Rao Li (Discret. Math., 2022)

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. - Hongzhan Lin 001; Pengyao Yi; Jing Ma 004; Haiyun Jiang; Ziyang Luo; Shuming Shi 001; Ruifang Liu (AAAI, 2023)

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 (EMNLP (Findings), 2023)

An Interpretable Model Using Evidence Information for Multi-Hop Question Answering Over Long Texts. - Yanyi Chen; Ruifang Liu; Xiyan Liu; Yidong Shi; Ge Bai (ICASSP, 2023)

Narrow Down Before Selection: A Dynamic Exclusion Model for Multiple-Choice QA. - Xiyan Liu; Yidong Shi; Ruifang Liu; Ge Bai; Yanyi Chen (ICASSP, 2023)

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 (ICASSP Workshops, 2023)

MGRE: A Multi-Granularity Representation Enhancement Method in Multiple-Choice Question Answering. - Yuhang Hou; Xiyan Liu; Jiaxing Song; Yidong Shi; Ruifang Liu (ICNC-FSKD, 2023)

The maximum spectral radius of irregular bipartite graphs. - Jie Xue 004; Ruifang Liu; Jiaxin Guo; Jinlong Shu (Adv. Appl. Math., 2023)

The Aα-spectral radius of nonregular graphs (digraphs) and maximum degree (outdegree). - Qixuan Yuan; Ruifang Liu; Jinjiang Yuan (Discret. Optim., 2023)

An improvement of sufficient condition for k-leaf-connected graphs. - Tingyan Ma; Guoyan Ao; Ruifang Liu; Ligong Wang; Yang Hu (Discret. Appl. Math., 2023)

Spectral radius and spanning trees of graphs. - Guoyan Ao; Ruifang Liu; Jinjiang Yuan (Discret. Math., 2023)

Maxima of the Q-index of non-bipartite graphs: Forbidden short odd cycles. - Lu Miao; Ruifang Liu; Jie Xue 004 (Discret. Appl. Math., 2023)

A Pulse Correlation Model for PPG Signal Quality Assessment and Key Pulse Extraction. - Shijie Cheng; Ruifang Liu; Hao Wu; Keith Siu-Fung Sze; Qianjin Feng (AICAS, 2024)

Accuracy of RingConn Smart Ring in Sleep Assessment Compared to Polysomnography. - Yan Dong; Hao Wu 007; Ruifang Liu; Keith Siu-Fung Sze; Jiahui Xia; Jiguang Wang (BioCAS, 2024)

CDUMA: An Adaptive Approach for Mitigating Confounder for MCQA. - Shilong Li; Chenji Lu; Ge Bai; Ying Liu; Xiyan Liu; Zhang Zhang; Ruifang Liu (ICASSP, 2024)

CausalME: Balancing bi-modalities in Visual Question Answering. - Chenji Lu; Ge Bai; Shilong Li; Ying Liu; Xiyan Liu; Zerong Zeng; Ruifang Liu (ICASSP, 2024)

Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention. - Ying Liu; Ge Bai; Chenji Lu; Shilong Li; Zhang Zhang; Ruifang Liu; Wenbin Guo (ICME, 2024)

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 (ISCAS, 2024)

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 (NAACL (Short Papers), 2024)

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 (NAACL (Short Papers), 2024)

Independence number and spectral radius of cactus graphs. - Jie Xue; Ruifang Liu; Pei Liu (Discret. Appl. Math., 2024)

Spectral radius, fractional [a,b]-factor and ID-factor-critical graphs. - Ao Fan; Ruifang Liu; Guoyan Ao (Discret. Math., 2024)

DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain. - Feiyu Lu; Qingbin Tong; Xuedong Jiang; Ziwei Feng; Ruifang Liu; Jianjun Xu; Jingyi Huo (Reliab. Eng. Syst. Saf., 2024)

The spectral radius of H2k-free graphs. - Qixuan Yuan; Ruifang Liu; Jinjiang Yuan (Appl. Math. Comput., 2024)

Sufficient conditions for k-factors and spanning trees of graphs. - Guoyan Ao; Ruifang Liu; Jinjiang Yuan; C. T. Ng 001; T. C. E. Cheng (Discret. Appl. Math., 2025)

Spectral versions on Lovász's (a,b)-parity factor theorem in graphs. - Huicai Jia; Jing Lou; Ruifang Liu (Discret. Appl. Math., 2025)

Toughness and distance spectral radius in graphs involving minimum degree. - Jing Lou; Ruifang Liu; Jinlong Shu (Discret. Appl. Math., 2025)

Spectral extremal problems on factors in tough graphs, and beyond. - Ruifang Liu; Ao Fan; Jinlong Shu (Discret. Math., 2025)

Spectral Turán problem of non-bipartite graphs: Forbidden books. - Ruifang Liu; Lu Miao (Eur. J. Comb., 2025)

Wavelet packet energy embedded autoencoder with dynamic weighting strategy for fault diagnosis under unknown working conditions. - Feiyu Lu; Qingbin Tong; Xuedong Jiang; Ziwei Feng; Ruifang Liu; Jianjun Xu; Jingyi Huo (Reliab. Eng. Syst. Saf., 2026)