Ruifang Liu - RankMe

81 papers A* 2A 2B 1C 1Misc 7Journal 41Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Eigenvalues and spanning tree in regular graphs. Discret. Math. Ao Fan, Ruifang Liu, Jiangbo Xie
2026	—	`conf`	Reconstruct Then Match: An End-to-End Generative Match Framework for Efficient Semantic Relation Understanding. AIACT Zhang Zhang, Ruifang Liu
2026	J	`jnl`	Spectral extremal problem on all (a, b, k)-critical graphs. Comput. Appl. Math. Qixuan Yuan, Ruifang Liu, Jinjiang Yuan
2026	J	`jnl`	Spectral radius and critical covered graphs. Comput. Appl. Math. Qixuan Yuan, Ruifang Liu, Jinjiang Yuan
2026	J	`jnl`	Spectral radius and perfect matching in graphs with given fractional property. Discret. Appl. Math. Huicai Jia, Ao Fan, Ruifang Liu
2026	J	`jnl`	Wavelet packet energy embedded autoencoder with dynamic weighting strategy for fault diagnosis under unknown working conditions. Reliab. Eng. Syst. Saf. Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Ruifang Liu, Jianjun Xu, Jingyi Huo
2025	—	`conf`	An AutoEncoder-Based Semi-Supervised Learning for Efficient Blood Pressure Estimation with Minimal Labeled Data. AICAS Huimin Rong, Hao Wu, Ruifang Liu
2025	J	`jnl`	Spectral Turán problem of non-bipartite graphs: Forbidden books. Eur. J. Comb. Ruifang Liu, Lu Miao
2025	J	`jnl`	Spectral extremal problems on factors in tough graphs, and beyond. Discret. Math. Ruifang Liu, Ao Fan, Jinlong Shu
2025	J	`jnl`	Spectral versions on Lovász's (a,b)-parity factor theorem in graphs. Discret. Appl. Math. Huicai Jia, Jing Lou, Ruifang Liu
2025	J	`jnl`	Sufficient conditions for k-factors and spanning trees of graphs. Discret. Appl. Math. Guoyan Ao, Ruifang Liu, Jinjiang Yuan, C. T. Ng, T. C. E. Cheng
2025	J	`jnl`	Toughness and distance spectral radius in graphs involving minimum degree. Discret. Appl. Math. Jing Lou, Ruifang Liu, Jinlong Shu
2024	C	`conf`	A Frequency-domain Features Based Clustering Algorithm for Blood Pressure Estimation with Photoplethysmogram Signal. ISCAS Ruifang Liu, Shijie Cheng, Hao Wu, Keith Siu-Fung Sze, Qianjin Feng
2024	—	`conf`	A Pulse Correlation Model for PPG Signal Quality Assessment and Key Pulse Extraction. AICAS Shijie Cheng, Ruifang Liu, Hao Wu, Keith Siu-Fung Sze, Qianjin Feng
2024	—	`conf`	Accuracy of RingConn Smart Ring in Sleep Assessment Compared to Polysomnography. BioCAS Yan Dong, Hao Wu, Ruifang Liu, Keith Siu-Fung Sze, Jiahui Xia, Jiguang Wang
2024	Misc	`conf`	CDUMA: An Adaptive Approach for Mitigating Confounder for MCQA. ICASSP Shilong Li, Chenji Lu, Ge Bai, Ying Liu, Xiyan Liu, Zhang Zhang, Ruifang Liu
2024	Misc	`conf`	CausalME: Balancing bi-modalities in Visual Question Answering. ICASSP Chenji Lu, Ge Bai, Shilong Li, Ying Liu, Xiyan Liu, Zerong Zeng, Ruifang Liu
2024	—	`conf`	Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning. NAACL (Short Papers) Ge Bai, Chenji Lu, Daichi Guo, Shilong Li, Ying Liu, Zhang Zhang, Guanting Dong, Ruifang Liu, Yong Sun
2024	J	`jnl`	DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain. Reliab. Eng. Syst. Saf. Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Ruifang Liu, Jianjun Xu, Jingyi Huo
2024	A	`conf`	Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention. ICME Ying Liu, Ge Bai, Chenji Lu, Shilong Li, Zhang Zhang, Ruifang Liu, Wenbin Guo
2024	J	`jnl`	Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention. CoRR Ying Liu, Ge Bai, Chenji Lu, Shilong Li, Zhang Zhang, Ruifang Liu, Wenbin Guo
2024	—	`conf`	Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction. NAACL (Short Papers) Shilong Li, Ge Bai, Zhang Zhang, Ying Liu, Chenji Lu, Daichi Guo, Ruifang Liu, Yong Sun
2024	J	`jnl`	Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction. CoRR Shilong Li, Ge Bai, Zhang Zhang, Ying Liu, Chenji Lu, Daichi Guo, Ruifang Liu, Yong Sun
2024	J	`jnl`	Independence number and spectral radius of cactus graphs. Discret. Appl. Math. Jie Xue, Ruifang Liu, Pei Liu
2024	J	`jnl`	Spectral radius, fractional [a,b]-factor and ID-factor-critical graphs. Discret. Math. Ao Fan, Ruifang Liu, Guoyan Ao
2024	J	`jnl`	The spectral radius of Appl. Math. Comput. Qixuan Yuan, Ruifang Liu, Jinjiang Yuan
2023	—	`conf`	Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction. EMNLP (Findings) Ge Bai, Chenji Lu, Jiaxiang Geng, Shilong Li, Yidong Shi, Xiyan Liu, Ying Liu, Zhang Zhang, Ruifang Liu
2023	Misc	`conf`	An Interpretable Model Using Evidence Information for Multi-Hop Question Answering Over Long Texts. ICASSP Yanyi Chen, Ruifang Liu, Xiyan Liu, Yidong Shi, Ge Bai
2023	J	`jnl`	An improvement of sufficient condition for k-leaf-connected graphs. Discret. Appl. Math. Tingyan Ma, Guoyan Ao, Ruifang Liu, Ligong Wang, Yang Hu
2023	—	`conf`	Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People. ICASSP Workshops Mingyang Sun, Qixiang Gao, Yutao Mou, Guanting Dong, Ruifang Liu, Wenbin Guo
2023	—	`conf`	MGRE: A Multi-Granularity Representation Enhancement Method in Multiple-Choice Question Answering. ICNC-FSKD Yuhang Hou, Xiyan Liu, Jiaxing Song, Yidong Shi, Ruifang Liu
2023	J	`jnl`	Maxima of the Q-index of non-bipartite graphs: Forbidden short odd cycles. Discret. Appl. Math. Lu Miao, Ruifang Liu, Jie Xue
2023	Misc	`conf`	Narrow Down Before Selection: A Dynamic Exclusion Model for Multiple-Choice QA. ICASSP Xiyan Liu, Yidong Shi, Ruifang Liu, Ge Bai, Yanyi Chen
2023	J	`jnl`	Spectral radius and spanning trees of graphs. Discret. Math. Guoyan Ao, Ruifang Liu, Jinjiang Yuan
2023	J	`jnl`	The Aα-spectral radius of nonregular graphs (digraphs) and maximum degree (outdegree). Discret. Optim. Qixuan Yuan, Ruifang Liu, Jinjiang Yuan
2023	J	`jnl`	The maximum spectral radius of irregular bipartite graphs. Adv. Appl. Math. Jie Xue, Ruifang Liu, Jiaxin Guo, Jinlong Shu
2023	A*	`conf`	Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. AAAI Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
2022	—	`conf`	A Relation Enhanced Model For Abstractive Dialogue Summarization. CyberC Pengyao Yi, Ruifang Liu
2022	J	`jnl`	A Unique Characterization of Spectral Extrema for Friendship Graphs. Electron. J. Comb. Mingqing Zhai, Ruifang Liu, Jie Xue
2022	J	`jnl`	Hamiltonian Discret. Math. Ruifang Liu, Hong-Jian Lai, Rao Li
2022	J	`jnl`	Improved sufficient conditions for k-leaf-connected graphs. Discret. Appl. Math. Guoyan Ao, Ruifang Liu, Jinjiang Yuan, Rao Li
2022	J	`jnl`	Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. CoRR Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu
2021	—	`conf`	A Federated Learning Based Chinese Text Classification Model with Parameter Factorization Weighting. IC-NIDC Huan Wang, Zerong Zeng, Ruifang Liu, Sheng Gao
2021	Misc	`conf`	Adaptive Re-Balancing Network with Gate Mechanism for Long-Tailed Visual Question Answering. ICASSP Hongyu Chen, Ruifang Liu, Han Fang, Ximing Zhang
2021	A*	`conf`	Correlation-Guided Representation for Multi-Label Text Classification. IJCAI Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, Min-Ling Zhang
2021	—	`conf`	Cross-modal Relational Reasoning Network for Visual Question Answering. ICCVW Hongyu Chen, Ruifang Liu, Bo Peng
2021	—	`conf`	DSAMT: Dual-Source Aligned Multimodal Transformers for TextCaps. IC-NIDC Chenyang Liao, Ruifang Liu, Sheng Gao
2021	—	`conf`	Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning. ACL/IJCNLP (Findings) Ximing Zhang, Qian-Wen Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao
2021	J	`jnl`	Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning. CoRR Ximing Zhang, Qian-Wen Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao
2021	—	`conf`	Jointly Learning Salience and Redundancy by Adaptive Sentence Reranking for Extractive Summarization. CCL Ximing Zhang, Ruifang Liu
2021	J	`jnl`	On graphs whose third largest distance eigenvalue dose not exceed -1. Appl. Math. Comput. Jie Xue, Ruifang Liu, Jinlong Shu
2020	J	`jnl`	Unimodality of Principal Eigenvector and its Applications. Graphs Comb. Jie Xue, Ruifang Liu, Jinlong Shu
2019	—	`conf`	A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. ICNC-FSKD Xiaoxiao Yin, Ruifang Liu, Daqi Zheng, Zhengdong Lu
2019	B	`conf`	A Multiple Granularity Co-Reasoning Model for Multi-choice Reading Comprehension. IJCNN Hang Miao, Ruifang Liu, Sheng Gao
2019	—	`conf`	Multi-level Feature Combination in Dialogue State Tracking. ICNC-FSKD Yang Zheng, Ruifang Liu, Sheng Gao
2019	J	`jnl`	Novel Bearing Current Suppression Approach in Doubly-Fed Induction Generators. IEEE Access Ruifang Liu, Erle Yang, Jiayao Chen, Shuangxia Niu
2019	—	`conf`	Option Attentive Capsule Network for Multi-choice Reading Comprehension. ICONIP (3) Hang Miao, Ruifang Liu, Sheng Gao
2019	J	`jnl`	Vertex-connectivity and eigenvalues of graphs with fixed girth. Appl. Math. Comput. Ruifang Liu, Hong-Jian Lai, Yingzhi Tian, Yang Wu
2018	—	`conf`	A Gamma-Poisson Block Model for Community Detection in Directed Network. ICNC-FSKD Siyuan Gao, Ruifang Liu, Hang Miao
2018	A	`conf`	An Option Gate Module for Sentence Inference on Machine Reading Comprehension. CIKM Xuming Lin, Ruifang Liu, Yiwei Li
2018	J	`jnl`	Neural Entity Reasoner for Global Consistency in NER. CoRR Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, Ruifang Liu
2018	J	`jnl`	Wiener index and Harary index on Hamilton-connected and traceable graphs. Ars Comb. Huicai Jia, Ruifang Liu, Xue Du
2017	—	`conf`	A Deep Convolutional Network Demodulator for Mixed Signals with Different Modulation Types. DASC/PiCom/DataCom/CyberSciTech Xuming Lin, Ruifang Liu, Wenmei Hu, Yameng Li, Xin Zhou, Xiao-Xin He
2017	—	`conf`	A deep learning method to estimate independent source number. ICSAI Wenmei Hu, Ruifang Liu, Xuming Lin, Yameng Li, Xin Zhou, Xiaoxin He
2016	—	`conf`	Beijing University of Posts and Telecommunications(BUPT) at TREC 2016: A Rating Model Based on Tags for ABSTRACT Contextual Suggestion. TREC Danping Yin, Siyuan Gao, Zonghui Peng, Yameng Li, Ruifang Liu
2015	Misc	`conf`	An integrated model for detecting spam microblogs combining latent paragraph and user vector. ICNC Hongqiao Li, Ruifang Liu, Zhaoxiong Bao, Qinlong Wang
2015	J	`jnl`	General Randić matrix and general Randić incidence matrix. Discret. Appl. Math. Ruifang Liu, Wai Chee Shiu
2015	Misc	`conf`	Topical Paragraph Vector learning. ICNC Qinlong Wang, Ruifang Liu, Hongqiao Li, Wenbin Guo
2014	—	`conf`	Weighted Graph Clustering for Community Detection of Large Social Networks. ITQM Ruifang Liu, Shan Feng, Ruisheng Shi, Wenbin Guo
2014	—	`conf`	Word distributed representation based text clustering. CCIS Shan Feng, Ruifang Liu, Qinlong Wang, Ruisheng Shi
2013	—	`book`	Network Robustness under Large-Scale Attacks. Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui
2013	—	`conf`	PRIS at TREC2013 Knowledge Base Acceleration Track. TREC Chunyun Zhang, Weiran Xu, Ruifang Liu, Weitai Zhang, Dai Zhang, Janshu Ji, Jing Yang
2013	J	`jnl`	Tree with minimal Laplacian spectral radius and diameter n-4. Ars Comb. Ruifang Liu, Huicai Jia, Jinjiang Yuan
2012	J	`jnl`	Minimizing the least eigenvalue of bicyclic graphs with k pendant vertices. Ars Comb. Ruifang Liu, Huicai Jia, Jinlong Shu
2012	J	`jnl`	Super Connectivity and Super Edge Connectivity of the Mycielskian of a Graph. Graphs Comb. Litao Guo, Ruifang Liu, Xiaofeng Guo
2012	J	`jnl`	Super λ Appl. Math. Lett. Litao Guo, Ruifang Liu, Xiaofeng Guo
2011	J	`jnl`	On the (Laplacian) spectral radius of bipartite graphs with given number of blocks. Ars Comb. Mingqing Zhai, Ruifang Liu, Jinlong Shu
2011	J	`jnl`	On the spectra of tricyclic graphs. Ars Comb. Ruifang Liu, Huicai Jia, Jinlong Shu
2010	J	`jnl`	Minimizing the least eigenvalue of unicyclic graphs with fixed diameter. Discret. Math. Mingqing Zhai, Ruifang Liu, Jinlong Shu
2009	J	`jnl`	The minimal Laplacian spectral radius of trees with a given diameter. Theor. Comput. Sci. Ruifang Liu, Zhonghua Lu, Jinlong Shu
2006	—	`conf`	Using Multicast Dependence Tree Model for Network Delay Tomography. ICNS Ruifang Liu, Wenbin Guo, Huimin Xu