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Bin Liang, Rongdi Yin, Jiachen Du, Lin Gui, Yulan He, Min Yang, Ruifeng Xu*. Embedding Refinement Framework for Targeted Aspect-based Sentiment Analysis. IEEE Transactions on Affective Computing. 2023. 14(1): 279-293（SCI IF 11.2，JCR 1区，CCF-B）Early Access in 2021
Geng Tu, Bing Liang, Dazhi Jiang*, Ruifeng Xu*. Sentiment- Emotion- and Context-guided Knowledge Selection Framework for Emotion Recognition in Conversations. IEEE Transactions on Affective Computing. 2023. 14(3) 1803-1816 (SCI IF 11.2, JCR 1区, CCF-B） Early Access in 2022
Bin Liang, Xiang Li, Lin Gui, Chaofa Yuan, Yulan He, Min Yang, Ruifeng Xu*. Few-Shot Aspect Category Sentiment Analysis via Meta-Learning. ACM Transactions on Information System. Vol. 41, No. 1, Article No.: 22, pp 1–31, 2023 （SCI IF 4.797，JCR 1区，CCF-A) Early Access in 2022
Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, and Ruifeng Xu*. Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis. IEEE Transactions on Affective Computing. 2023 (SCI IF 11.2，JCR 1区，CCF-B) Early Access
Xingwei Liang, Geng Tu, Jiachen Du, Ruifeng Xu. Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations. Journal of Artificial Intelligence Research. 2023 (SCI IF 5.0，JCR 2区，CCF-B)
Keyang Ding, Chuang Fan, Yiwen Ding, Qianlong Wang, Zhiyuan Wen, Jing Li, Ruifeng Xu. LCSEP: A Large-Scale Chinese Dataset for Social Emotion Prediction to Online Trending Topics. IEEE Transactions on Computational Social Systems. 2023 (SCI IF5.0, JCR 1区, CCF-C)
Xingwei Liang, Lu Zhang, Zhiyong Wu, Ruifeng Xu*. Lite-RTSE: Exploring A Cost-Effective Lite DNN Model for Real-Time Speech Enhancement in RTC Scenarios. IEEE Signal Processing Letters. 2023 (SCI IF 3.9, JCR 2区，CCF-C) Early Access
Zhiyuan Wen, Rui Wang, Xuan Luo, Qianlong Wang, Bin Liang, Jiachen Du, Xiaoqi Yu, Lin Gui，Ruifeng Xu*. Multi-perspective Contrastive Learning Framework Guided by Sememe Knowledge and Label Information for Sarcasm Detection. International Journal of Machine Learning and Cybernetics. 2023 (SCI IF 5.6, JCR 2区)
Xingwei Liang, Jiachen Du, Taiyu Niu, Lanjun Zhou, and Ruifeng Xu. Knowledge Interpolated Conditional Variational Auto-Encoder for Knowledge Grounded Dialogues. Applied Sciences. Vol. 13, no. 15: 8707. 2023 (SCI IF 2.7, JCR 2区）
Xingwei Liang, Zehua Zhang, Ruifeng Xu*. Multi-task Deep Cross-attention Networks for Far-field Speaker Verification and Keyword Spotting. EURASIP Journal on Audio, Speech, and Music Processing 2023, 28 (SCI IF 2.4 JCR 2区）
Xingwei Liang, You Zou, Xinnan Zhuang, Jie Yang, Taiyu Niu, Ruifeng Xu*. MMATERIC: Multi-Task Learning and Multi-Fusion for AudioText Emotion Recognition in Conversation. Electronics. 2023, 12(7), 1534 (SCI IF 2.9, JCR 2区）
Zhiyuan Wen, Rui Wang, Shiwei Chen, Qianlong Wang, Keyang Ding, Bin Liang, Ruifeng Xu*. RDVI: A Retrieval-Detection Framework for Verbal Irony Detection. Electronics. 2023，12(12) 2673 (SCI IF 2.9, JCR 2区）
Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, Lanjun Zhou, Xuan Wang. Learning to Generate Tips from Song Reviews. Neural Networks. Vol. 161, 746-756, 2023 (SCI IF 9.657, JCR 1区)
Ziyu Lyu，Xiao Liu, Min Yang, Dongding Lin, Piji Li, Ruifeng Xu. Hierarchical Conversation Flow Transition and Reasoning for Conversational Machine Comprehension. to appear in Neural Computing and Applications 2022. 35(3): 2413-2428 (SCI IF 5.102, JCR 2区， CCF-C) Early Access in 2022
梁斌 林子杰 徐睿峰 秦兵*.面向话题的讽刺识别:新任务、新数据和新方法. 中文信息学报. 2023, 37(2): 138-147
Zhiyuan Wen, Lin Gui, Qianlong Wang, Mingyue Guo, Xiaoqi Yu, Jiachen Du, Ruifeng Xu*, Sememe Knowledge and Auxiliary Information Enhanced Approach for Sarcasm Detection, Information Processing & Management, Vol. 59, No.3, 102883 (SCI IF 6.222, JCR 1区, CCF-B)
Lin Gui, Jia Leng, Jiyun Zhou, Ruifeng Xu, Yulan He. Multi Task Mutual Learning for Joint Sentiment Classification and Topic Detection. IEEE Transactions on Knowledge and Data Engineering. Vol. 34, No.4, pp. 1915-1927. 2022. (SCI IF 6.977, JCR 1区, CCF-A）Early Access on 2020
Xiaoyan Zhao, Min Yang*, Qiang Qu, Ruifeng Xu and Jieke Li, Exploring Privileged Features for Relation Extraction with Contrastive Student-Teacher Learning. to appear in IEEE Transactions on Knowledge & Data Engineering, (SCI IF 6.977, JCR 1区, CCF-A）Early Access
Chuang Fan, Jiaming Li, Xuan Luo, Ruifeng Xu*. Enhancing Structure Preservation in Coreference Resolution by Constrained Graph Encoding. IEEE/ACM Transactions on Audio, Speech and Language Processing. Vol. 30, pp. 2557-2567,. 2022.（SCI IF 4.364 JCR 1区, CCF-B)
Han Zhang, Bin Liang, Min Yang, Hui Wang, Ruifeng Xu*. Prompt-Based Prototypical Framework for Continual Relation Extraction. IEEE/ACM Transactions on Audio, Speech and Language Processing. Vol. 30, pp. 2801-2813. 2022.（SCI IF 4.364, JCR 1区, CCF-B)
Qianlong Wang, Zhiyuan Wen, Keyang Ding, Qin Zhao, MinYang, Xiaoqi Yu, RuifengXu*. Improving Sequence Labeling with Labeled Clue Sentences. Knowledge-Based Systems, 2022, 109828 (SCI IF 8.038, JCR 1区, CCF-C）
Min Yang, Zhenwei Wang, Chengming Li*, Ruifeng Xu. Leveraging Hierarchical Semantic-Emotional Memory in Emotional Conversation Generation. to appear in CAAI Transactions on Intelligence Technology. 2022 (SCI IF 7.985，JCR 1区）
Qin Zhao, Chenguang Hou, Ruifeng Xu*. Quantum-inspired Complex-valued Language models for Aspect-based Sentiment Classification. Entropy. Vol. 24, No.5, Article 61, 2022 (SCI IF 2.524, JCR 2区)
祝清麟,梁斌,徐睿峰,刘宇瀚,陈奕,毛瑞彬. 结合金融领域情感词典和注意力机制的细粒度情感分析. 中文信息学报. 2022, 36 (8): 109-117
Bin Liang, Hang Su, Lin Gui, Erik Cambria and Ruifeng Xu*. Aspect-Based Sentiment Analysis via Affective Knowledge Enhanced Graph Convolutional Networks, Knowledge-based Systems. Vol. 235, 2022, 107643. (SCI IF 8.038, JCR 1区）(ESI热点论文）
Fengji Liang, Yuan Quan, Andong Wu , Ying Chen,Ruifeng Xu, Yuexing Zhu, Jianghui Xiong*. Insulin-Resistance and Depression Cohortdata Mining to Identify Nutraceutical RelatedDNA Methylation Biomarker for Type 2diabetes. Genes&Diseases. Vol. 8, No. 5, 2021, 669-676 （SCI IF 7.103, JCR 1区)
Chuang Fan, Chaofa Yuan, Lin Gui, Yue Zhang, and Ruifeng Xu*. Multi-task Sequence Tagging for Emotion-Cause Pair Extraction via Tag Distribution Refinement. IEEE/ACM Transactions on Audio, Speech and Language Processing. Vol. 29, pp. 2339-2350, 2021,（SCI IF3.919, JCR 1区)
Junhao Liu, Min Yang, Chengming Li, Ruifeng Xu. Improving Cross-Modal Image-Text Retrieval with Teacher-Student Learning. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 31, No.8, 3242-3253, August 2021（SCI IF 4.133 JCR 1区）
Chunpu Xu, Min Yang, Xiang Ao, Ying Shen, Ruifeng Xu, Jinwen Tian. Retrieval-enhanced Adversarial Training with Dynamic Memory-augmented Attention for Image Paragraph Captioning. Knowledge-based Systems. Vol. 214, 106730, 2021 (SCI IF 8.038, JCR 1区）
骆旺达，刘宇瀚，梁斌，徐睿峰*. 基于循环交互注意力网络的问答立场分析.清华大学学报（自然科学版） 2021.01 网络首发 (EI)
林子杰，龙云飞，杜嘉晨，徐睿峰*. 一种基于多任务学习的多模态情感识别方法. 北京大学学报（自然科学版）Vol. 57, No.1, pp. 7-15, 2021 (EI) Accession number: 20210909982118
Jiachen Du, Lin Gui, Ruifeng Xu*, Yunqing Xia*, Xuan Wang. Commonsense Knowledge Enhanced Memory Network for Stance Classification. IEEE Intelligent Systems 35(4) 102-109 (2020) (SCI IF 4.464, JCR 1区)
Ruifeng Xu, Zhiyuan Wen, Lin Gui*, Qin Lu, Binyang Li, Xizhao Wang. Ensemble with Estimation: Seeking for Optimization in Class Noisy Data. International Journal of Machine Learning and Cybernetics. (SCI IF 3.844, JCR 1区) 2020 11,231-248 online first June 2019.
Qin Zhao, Chenguang Hou, Changjian Liu, Peng Zhang and Ruifeng Xu*, A Quantum Expectation Value Based Language Model with Application to Question Answering. Entropy. 2020, 22, 533; (SCI IF 2.419, JCR 1区)
Wanwei He, Yang Sun, MinYang, Feng Ji, Chengming Li, Ruifeng Xu, Multi-goal multi-agent learning for task-oriented dialogue with two-to-one teacher-student learning，Knowledge-based Systems,Volume 213, 2021,106667, https://doi.org/10.1016/j.knosys.2020.106667
Haifeng Li ; Shang Feng ; Lin Ma ; Zhongliang Xu ; Ruifeng Xu ; Tzyy-Ping Jung.
Common Cross-Spectral Patterns of Electroencephalography for Reliable Cognitive Task Identification. IEEE Access, vol. 8, pp. 17652-17662, 2020. (SCI IF 3.557, JCR 1区)
Yuan Quan, Hong-Yu Zhang, Jang-Hui Xiong, Rui-Feng Xu, Min Gao. Heat diffusion kernel algorithm-based interpretation of the disease intervention mechanism for DHA. Genes.
Genes 2020, 11(7), 754; DOI:10.3390/genes11070754 (SCI IF 3.759, JCR 1区)
Yuan Quan, Qing-Ye Zhang, Bo-Min Lv, Rui-Feng Xu, Hong-Yu Zhang. Genome-wide pathogenesis interpretation using a heat diffusion-based systems genetics method and implications for gene function annotation. Molecular Genetics & Genomic Medicine. Sep 1:e1456 (SCI IF 1.996, JCR 3区)
Yuan Quan, Fengji Liang, Deqing Wu, Xueqing Yao, Zhihuang Hu, Yuexing Zhu, Ying Chen, Andong Wu, Danian Tang, Bingyang Huang, Ruifeng Xu, Zejian Lyu, Qian Yan, Zhengzhi Ning, Yong Li, Jianghui Xiong. Blood cell DNA methylation of aging-related ubiquitination gene DZIP3 can predict the onset of early stage colorectal cancer. Frontiers in Oncology.（SCI IF 4.848, JCR 1区）
刘常健、杜嘉晨、冷佳、陈荻、毛瑞彬、张俊、徐睿峰. 一种融入背景知识的交互文本立场分析方法。北京大学学报（自然科学版） Vol. 56, no.1, 16-22, 2020 (EI )
巫继鹏,鲍建竹,蓝恭强,徐睿峰. 结合规则蒸馏的情感原因发现. 清华大学学报（自然科学版）2020年vol. 60, no. 5, 422-4290 （EI）
周晔恒, 石嘉晗, 徐睿峰. 结合预训练模型和语言知识库的文本匹配方法. 中文信息学报 Vol.34, no.2, 63-72, 2020
刘宇瀚,刘常健,徐睿峰*,骆旺达,陈奕,吉忠晟,应能涛. 结合字形特征与迭代学习的金融领域命名实体识别。中文信息学报. 2020, 34 (11): 74-83
Ruifeng Xu, Jiachen Du, Zhishan Zhao, Yulan He, Qinghong Gao, Lin Gui, Inferring User Profiles in Social Media by Joint Modeling of Text and Networks.SCIENCE CHINA Information Sciences. 2019, 62(11): 219104. （SCI IF 2.731, JCR 2区
Jiyun Zhou, Qin Lu, Lin Gui, Ruifeng Xu*, Yunfei Long, Hongpeng Wang. MTTFsite: Cross-cell-type TF Binding Site Prediction by using Multi-task Learning. Bioinformatics, btz451, https://doi.org/10.1093/bioinformatics/btz451 (SCI IF 5.481 JCR1区)
Gongqiang Lan, Jiyun Zhou*, Ruifeng Xu,*, Qin Lu and Hongpeng Wang, Cross-Cell-Type Prediction of TF-Binding Site by Integrating Convolutional Neural Network and Adversarial Network. International Journal of Molecular Science. 20(14), 3425; （SCI IF 4.183, JCR 1区)
Yuan Quan, Fengji Liang, Yuexing Zhu, Ying chen, Xu Zi, Fang Du, Ke Lv, Hailong Chen, Lina Qu, Ruifeng Xu, Hong-Yu Zhang, Yinghui Li, Jianghui Xiong. Integrated Analysis of DNA Methylation and Biochemical/metabolic Parameter during the Long-term Isolation Environment. Frontiers in Physiology. 2019. 10:917. Manuscript ID: 452116 (SCI IF 3.201, JCR 1区）
Jiyun Zhou, Qin Lu, Ruifeng Xu*, Lin Gui, Hongpeng Wang. Prediction of TF-binding site by inclusion of higher order position dependencies. IEEE/ACM Transactions on Computational Biology and Bioinformatics.(SCI IF 2.896, JCR 1区) https://ieeexplore.ieee.org/document/8607082
Jiachen Du, Lin Gui, Yulan He, Ruifeng Xu, Xuan Wang. Convolution-Based Neural Attention with Applications to Sentiment Classification. IEEE ACCESS. Vol. 7, Issue 1, 22983-27992, 2019.(SCI IF 3.557, JCR 1区)
Hongjian Bo, Lin Ma, Quansheng Liu, Ruifeng Xu, Haifeng Li. Music-evoked emotion recognition based on cognitive principles inspired EEG temporal and spectral features.
International Journal of Machine Learning and Cybernetics. published online, 2018
Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang. EL_LSTM: Prediction of DNA-binding residue from Protein sequence by Combining Long Short-Term Memory and Ensemble Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics.(SCI IF 2.428, JCR 2区)
Jiyun Zhou, Hongpeng Wang, Zhishan Zhao, Ruifeng Xu* and Qin Lu. CNNH_PSS: Protein 8-class Secondary Structure Prediction by Convolutional Neural Network with Highway. BMC Bioinformatics 19(Suppl 4):60 2018 (SCI IF 2.448, JCR 1区)
Lin Gui, Ruifeng Xu*, Qin Lu, Jiachen Du, Yu Zhou. Negative transfer detection in transductive transfer learning, International Journal of Machine Learning and Cybernetics. Volume 9,Issue 2,pp 185-197, 2018
张庆林, 杜嘉晨, 徐睿峰. 基于对抗学习的讽刺识别研究. 北京大学学报(自然科学版) (EI)
殷轶平,徐睿峰.DP2Gsister:差分隐私社交网络图发布模型[J].信息技术与网络安全,2018,37(6):11-17,27. DOI:10.19358/j.issn.2096-5133.2018.06.003.
李海峰,丰上,马琳,徐睿峰,徐忠亮.面向事件相关电位成分的稀疏字典构建方法[J].信号处理,2018,34(08):891-896. DOI：10.16798/j.issn.1003-0530.2018.08.002
李洪伟,李海峰,马琳,薄洪健,徐睿峰.音乐欣赏中脑对音乐属性变化加工规律的脑电研究[J].复旦学报(自然科学版),2018,57(03):385-392. DOI：10.15943/j.cnki.fdxb-jns.2018.03.012
Lin Gui, Yu Zhou, Ruifeng Xu*, et al. Learning representations from heterogeneous network for sentiment classification of product reviews. Knowledge-Based Systems. Vol. 124. 34-45, 2017.05 (SCI IF 4.529, JCR 1区)
Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang. Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN，Expert Systems with Applications，Vol.72, 221-230 2017.04 (SCI IF 3.928, JCR 1区) ESI高被引论文
Jiyun Zhou, Qin Lu, Ruifeng Xu, Yulan He and Hongpeng Wang. EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation. BMC Bioinformatics . Vol.18, No.1, 379,Aug. 2017(SCI IF 2.448, JCR 1区)
Jiyun Zhou, Qin Lu, Ruifeng Xu*, Lin Gui, Hongpeng Wang. Prediction of DNA-binding residues from sequence information using convolutional neural network. International Journal of Data Mining and Bioinformatics. Volume 17, Issue 2. (SCI IF 0.624, JCR 4区)
Ruifeng Xu, Jiannan Hu, et al.An Ensemble Approach for Emotion Cause Detection with Event Extraction and Multi-kernel SVMs. Tsinghua Science and Technology. 22(6): 646-659, 2017. (SCI IF 1.25 JCR 3区)
吴冬茵、桂林、陈钊、徐睿峰*，基于深度表示学习和高斯过程迁移学习的情感分析方法，中文信息学报，2017 , 31 (1) :169-176
Qikang Wei; Tao Chen; Ruifeng Xu*; Yulan He; Lin Gui. Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks. Database 2016;baw140 Sep. 2016, (SCI IF 2.627, JCR 1区)
Jiyun Zhou, Ruifeng Xu*, Yulan He, Qin Lu, Hongpeng Wang, Bing Kong, PDNAsite: Identification of DNA-binding Site from Protein Sequence by Incorporating Spatial and Sequence Context, Scientific Reports.6, Article number: 27653 June 10 2016. (SCI IF 5.228 , JCR 1区 ESI)
Tao Chen, Ruifeng Xu*, Yulan He, Yunqing Xia, Xuan Wang, Learning User and Product Distributed Representations Using a Sequence Model for Sentiment Analysis. IEEE Computational Intelligence Magazine, Volume 11, no.3, pp.34-44, August 2016, (SCI IF 3.647, JCR 1区 ESI)
Ruifeng Xu, Lin Gui, Qin Lu , Shuai Wang, Jian Xu, Incorporating multi-kernel function and Internet verification for Chinese person name disambiguation. Frontiers of Computer Science. Vol. 10, no.6, pp. 1026-1038, First online: 14 May 2016. (SCI IF 0.66, JCR 3区 ESI)
Ruifeng Xu, Jiyun Zhou, Hongpeng Wang, Yulan He, Xiaolong Wang, Bin Liu*, Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation, BMC Systems Biology. 2015, Vol. 9(Suppl 1):S10 (SCI, IF 2.213 JCR 1区 ESI) http://www.biomedcentral.com/1752-0509/9/S1/S10 Published: 6 February 2015
Ruifeng Xu, Tao Chen, Yunqing Xia, Qin Lu, Bin Liu, Xuan Wang, Word Embedding Composition for Data Imbalances in Sentiment and Emotion Classification. Cognitive Computation.Vol. 7, No.2, 226-240, 2015 (SCI IF 1.933 JCR 2区 ESI)
Tao Chen, Ruifeng Xu* , Yulan He and Xuan Wang, A Gloss Composition and Context Clustering Based Distributed Word Sense Representation Model, Entropy. 2015, 17(9), 6007-6024 (SCI IF 1.743 JCR 2区 ESI)
陈钊、徐睿峰、桂林、陆勤，结合卷积神经网络和词语情感序列特征的中文情感分析. 中文信息学报, Vol. 29, No.5, pp.154-160, Dec. 2015
Ruifeng Xu, Jiyun Zhou, Bin Liu*, Yulan He, Quan Zou, Xiaolong Wang, Kuo-Chen Chou, Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach, Journal of Biomolecular Structure and Dynamics. (SCI, IF 2.919, JCR2区 ESI) Volume 33, Issue 8 Published online: 28 Oct 2014 ESI高被引论文 DOI:10.1080/07391102.2014.968624
Ruifeng Xu, Jiyun Zhou, Bin Liu*, Lin Yao, Yulan He, Quan Zou and Xiaolong Wang, enDNA-Prot: Identification of DNA-binding Proteins by Applying Ensemble Learning. BioMed Research International Volume 2014 (2014), Article ID 294279, 26 May 2014(SCI, IF 1.579 JCR 3区) Published
Bin Liu, Jinghao Xu, Quan Zou, Ruifeng Xu*, Xiaolong Wang and Qingcai Chen, Using distances between Top-n-gram and residue pairs for protein remote homology detection. BMC Bioinformatics 2014, 15(Suppl 2):S3 ( SCI IF 2.67，JCR 2区 ESI) Published: 24 January 2014
Bin Liu*, Jinghao Xu, Xun Lan, Ruifeng Xu, Jiyun Zhou, Xiaolong Wang, Kuo-Chen Chou*, iDNA-Prot dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition, PLoS ONE, 2014 9(9): e106691 (SCI, IF 3.534, JCR1区 ESI)
Bin Liu*, Jinghao Xu, Shixi Fan, Ruifeng Xu, Jiyun Zhou, Xiaolong Wang, PseDNA-Pro: DNA-binding Protein Identification by Combining Chou‘s PseAAC and Physicochemical Distance Transformation. Molecular Informatics. Article first published online: 26 SEP 2014
Bin Liu, Xiaolong Wang, Ruifeng Xu, Buzhou Tang, Protein remote homology detection by combining profile-based protein representation with local alignment kernel, Journal of Medical and Bioengineering, 3(1), pp 17-22, March 2014.
姚源林 王树伟 徐睿峰 刘滨 桂林 陆勤 王晓龙，面向微博文本的情绪标注语料库构建.中文信息学报.Vol. 28, No.5 pp.192-200, Sep. 2014
Ruifeng Xu, Lin Gui, Jun Xu, Qin Lu and Kam-Fai Wong. Cross Lingual Opinion Holder Extraction based on Multiple Kernel SVMs and Transfer Learning. World Wide Web-Internet and Web Information Systems, vol.16, 2013.(SCI IF 1.623 JCR 1区 ESI)
Bin Liu*, Deyuan Zhang, Ruifeng Xu, Jinghao Xu, Xiaolong Wang, Qingcai Chen, Qiwen Dong, Kuo-Chen Chou, Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection. Bioinformatics (2014) 30 (4): 472-479.doi: 10.1093/bioinformatics/btt709
First published online: December 5, 2013 (SCI IF 4.621 JCR 1区 ESI) http://bioinformatics.oxfordjournals.org/content/30/4/472.short
Ruifeng Xu, Lu Ye and Jun Xu. Reader’s Emotion Prediction Based on Weighted Latent Dirichlet Allocation and Multi-Label k-Nearest Neighbor Model. Journal of Computational Information Systems, vol. 9, no.6, 2013. (EI)
Lin Gui, Ruifeng Xu*, Jun Xu and Chengxiang Liu. A Cross-Lingual Approach for Opinion Holder Extraction. Journal of Computational Information Systems, vol. 9, no.6, 2013. (Corresponding author, EI)
Yue Zhang, Ruifeng Xu*, Jun Xu. Joint Extraction of Product Attribute and Appraisal Expression Using Tree-Structured Conditional Random Fields. Journal of Computational Information Systems, vol. 9, no.6, 2013. (Corresponding author, EI)
陈涛 徐睿峰* 吴明芬 刘滨. 一种基于情感句模的文本情感分类方法. 中文信息学报. Vol. 27. No.5,pp.67-74 Sep. 2013
徐睿峰,邹承天,郑燕珍,徐 军,桂 林,刘 滨,王晓龙. 一种基于情绪表达与情绪认知分离的新型情绪词典. 中文信息学报. Vol.26, No.6, pp.82-89, Nov. 2013
Ruifeng Xu and Chunyu Kit, Learning Multiple Level Features for Opinion Analysis, International Journal of Computer Processing of Oriental Languages, Vol.24, No.4, pp 349-371, 2011
Jun Xu, Ruifeng Xu*, Yuxin Ding, Xiaolong Wang and Chunyu Kit, Cross Lingual Opinion Analysis via Transfer Learning，Australian Journal of Intelligent Information Processing, Vol.11, No.2, pp 28-34, 2010 (EI)
Ruifeng Xu, Qin Lu, Kam-Fai Wong and Chunyu Kit, Building a Chinese Collocation Bank, International Journal of Computer Processing of Oriental Languages, vol.22, no.2, 2009
Kam-Fai Wong, Yunqing Xia, Ruifeng Xu, Mingli Wu and Wenjie Li, Pattern-based Opinion Mining for Stock Market Trend Prediction, International Journal of Computer Processing of Oriental Languages, Vol. 21, No. 4, pp.347-362, 2008
Ruifeng Xu, Qin Lu, Yin Li, and Wanyin Li, The Design and Construction of the PolyU Shallow Treebank, International Journal of Computational Linguistics and Chinese Language Processing, Vol.10, no.3, 2005
Ruifeng Xu, Daniel Yeung and Daming Shi, A Hybrid Post-processing System for Offline Handwritten Chinese Character Recognition based on a Statistical Language Model. International Journal of Pattern Recognition and Artificial Intelligence, vol. 19, no. 3, pp. 415-428, 2005 (SCI IDS:936JL) (EI Compendex 2005219116009)
Wanyin Li, Qin Lu and Ruifeng Xu, Similarity based Chinese Synonyms Collocation Extraction, International Journal of Computational Linguistics and Chinese Language Processing, vol.10, no.1, pp.123-144, 2005
Ruifeng Xu, Daniel Yeung, Wenhao Shu, and Jiafeng Liu, A Hybrid Post-processing System for Handwritten Chinese Character Recognition, International Journal of Pattern Recognition and Artificial Intelligence, vol. 16, no. 6, pp. 657-680, 2002 (SCI IDS: 606XB 4 Citation) (EI Compendex 2002487249391)
Daming Shi, Wenhao Shu, and Ruifeng Xu, An Extension Matrix Algorithm for Multi-class Problem with Joint Area, Journal of Software, Vol. 10, No.9, pp.889-995, 1999 (In Chinese) (EI Compendex 2000455310296)
Yang Lu, Fusi Wang, Tiecai Li and Ruifeng Xu, The Design of A PDA Software Development Platform, Journal of Microprocessor, Vol. 1997, No. 3, 1997 (In Chinese)
Fusi Wang, Yue Shu, Datong Chen and Ruifeng Xu, Automatic Assemble Language Program Translation System, Journal of Microprocessor, Vol. 1996, No. 2, pp.49-52, 1996 (In Chinese)
Book Chapters (2 SCI indexed, 3 EI Compendex indexed)
Ruifeng Xu, Kam-Fai Wong, Qin Lu, Yunqing Xia, Learning Multi Linguistic Knowledge for Opinion Analysis, in Lecture Notes in Computer Science 5226, Springer, 2008, pp.993-1000 (EI Compendex 20084811748318)
Guohong Fu, Kang-Kwong Luke, Guodong Zhou, Ruifeng Xu, Automatic Expansion of Abbreviations in Chinese News Text, in Lecture Notes in Computer Science 4182, Springer, 2006, pp.530-536 (SCI IDS: BFG22)(EI Compendex 20064810275736)
Ruifeng Xu, Kam-Fai Wong, Qin Lu, Wenjie Li, An Improved Method for Finding Bilingual Collocation Correspondences from Monolingual Corpora, in Lecture Notes in Computer Science 4285, Springer, 2006, pp.51-62
Wei Gao, Kam-Fai Wong, Yunqing Xia, Ruifeng Xu, Clique Percolation Method for Finding Naturally Cohesive and Overlapping Document Clusters, in Lecture Notes in Computer Science 4285, Springer, 2006, pp.97-108
Ruifeng Xu and Qin Lu, A Multi-stage Collocation Extraction System, in Lecture Notes in Artificial Intelligence 3930, Springer, 2006, pp.740-749 (SCI IDS: BEN35) (EI Compendex 20062810000638)
会议论文
Fangqi Zhu, Jun Gao, Changlong Yu, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu*. A Generative Approach for Script Event Prediction via Contrastive Fine-tuning. Proceedings of The 37th AAAI Conference on Artificial Intelligence, （AAAI 2023), Feb. 2023 Washington DC, USA (CCF-A)
Qiancheng Xu, Min Yang, Ruifeng Xu. Balanced Meta Learning and Diverse Sampling for Lifelong Task-oriented Dialogue Systems. Proceedings of The 37th AAAI Conference on Artificial Intelligence, （AAAI 2023), Feb. 2023 Washington DC, USA (CCF-A)
Xiaokang Liu, Jianquan Li, Jingjing Mu, Min Yang, Ruifeng Xu, Benyou Wang. Effective Open Intent Classification with K-Center Contrastive Learning and Adjustable Decision Boundary. Proceedings of The 37th AAAI Conference on Artificial Intelligence, （AAAI 2023), Feb. 2023 Washington DC, USA (CCF-A)
Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi, Ruifeng Xu*. A Synthetic Data Generation Framework for Grounded Dialogues. Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics, (ACL 2023), July 2023, Toronto, Canada (CCF-A)
Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong and Ruifeng Xu*. Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models. Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics, (ACL 2023), July 2023, Toronto, Canada (CCF-A)
Libo Qin, Shijue Huang, Qiguang Chen, Chenran Cai, Yudi Zhang, Bin Liang, Wanxiang Che and Ruifeng Xu*. MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System. Findings of The 61st Annual Meeting of the Association for Computational Linguistics, (ACL 2023), July 2023, Toronto, Canada (CCF-A)
Geng Tu, Bin Liang, Ruibin Mao, Min Yang and Ruifeng Xu*. Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations. Findings of The 61st Annual Meeting of the Association for Computational Linguistics, (ACL 2023), July 2023, Toronto, Canada (CCF-A)
Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu* and Haiqin Yang*. A Diffusion Model for Event Skeleton Generation. Findings of The 61st Annual Meeting of the Association for Computational Linguistics, (ACL 2023), July 2023, Toronto, Canada (CCF-A)
Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu, Min Yang and Ruifeng Xu*. Probing Graph Decomposition for Argument Pair Extraction. Findings of The 61st Annual Meeting of the Association for Computational Linguistics, (ACL 2023), July 2023, Toronto, Canada (CCF-A)
Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin and Ruifeng Xu*. An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis. Findings of The 61st Annual Meeting of the Association for Computational Linguistics, (ACL 2023), July 2023, Toronto, Canada (CCF-A)
Minghuan Tan, Min Yang and Ruifeng Xu. Focal Training and Tagger Decouple for Grammatical Error Correction. Findings of The 61st Annual Meeting of the Association for Computational Linguistics, (ACL 2023), July 2023, Toronto, Canada (CCF-A)
Tianshu Yu, Min Yang, Chengming Li and Ruifeng Xu. Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. Proceedings of The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, (SIGIR 2023), July, 2023, Taipei (CCF-A)
Feiteng Fang, Min Yang, Chengming Li and Ruifeng Xu. Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection. Proceedings of The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, (SIGIR 2023), July, 2023, Taipei (CCF-A)
Zhenhua Huang#, Yuhang He#, Shaojie Wang, Zhenyu Wang, Ruifeng Xu* and Sharad Merothra*. SRACas: A Social Role-Aware Graph Neural NetworkBased Model for Popularity Prediction of Information Cascades. Proceedings of 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), April 2023, Tianjin, China. (CCF-B)
Geng Tu, Bin Liang*, Xiucheng Lv, Lin Gui, Ruifeng Xu*. Do Topic and Causal Consistency Affect Emotion Cognition? An Interactive Graph Network for Conversational Emotion Detection. Proceedings of 26th European Conference on Artificial Intelligence （ECAI 2023). Sep. 2023, Kraków, Poland (CCF-B)
Yice Zhang, Yifan yang, Meng Li, Bin Liang, Shiwei Chen, Ruifeng Xu*. Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction. Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023), December 2023, Singapore. (CCF-B)
Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, Ruifeng Xu*. Stance Detection on Social Media with Background Knowledge. Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023), December 2023, Singapore. (CCF-B)
Geng Tu, Ran Jing, Bin Liang, Min Yang, Kam-Fai Wong, Ruifeng Xu*. A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection. Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023), December 2023, Singapore. (CCF-B)
Li jiangnan, Yice Zhang, Bin Liang, Kam-Fai Wong, Ruifeng Xu*. Set Learning for Generative Information Extraction. Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023), December 2023, Singapore. (CCF-B)
Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu*. Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023), December 2023, Singapore. (CCF-B)
Qianlong Wang, Keyang Ding, Bin Liang, Min Yang, Ruifeng Xu*. Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023), December 2023, Singapore. (CCF-B)
Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu*. An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023), December 2023, Singapore. (CCF-B)
Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu*. In-context Learning for Few-shot Multimodal Named Entity Recognition. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023), December 2023, Singapore. (CCF-B)
Hongru WANG, Rui Wang, Fei Mi, Yang Deng, Zezhong WANG, Bin Liang, Ruifeng Xu, Kam-Fai Wong. Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2023), December 2023, Singapore. (CCF-B)
Chenran Cai, Qin Zhao, Ruifeng Xu*, Bing Qin. Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling. Proceedings of The 12th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2023). Oct. 2023, Foshan, China (CCF-C)
Chenran Cai, Qin Zhao, Ruifeng Xu*, Bing Qin. Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling. Proceedings of The 12th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2023). Oct. 2023, Foshan, China (CCF-C)
Shijue Huang, Bingbing Wang, Qin, Qin Zhao, Ruifeng Xu*. Improving Few-Shot and Zero-Shot Entity Linking with Coarse-to-Fine Lexicon-Based Retriever. Proceedings of The 12th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2023). Oct. 2023, Foshan, China (CCF-C)
Yihui Li, Yice Zhang, Yifan Yang, Ruifeng Xu*. A Generative Model for Structured Sentiment Analysis. Proceedings of 2023 International Conference on AI and Mobile Services (AIMS 2023). Sep. 2023, Honolulu, Hawaii, (EI)
Yi Chen, Rui Wang, Haiyun Jiang, Shuming Shi, Ruifeng Xu*. Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study. Proceedings of The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023) , November 2023, Bali, Indonesia
Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang, Ruifeng Xu*. Zero-Shot Stance Detection via Contrastive Learning, Proceedings of The 31th Web Conference (WWW 2022), pp. 2738–2747, April 2022. Virtual Event, Lyon, France (CCF-A)
Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu*. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. Proceedings of 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), 2022. Dublin, Ireland (CCF-A)
Jianzhu Bao, Jingyi Sun, Qinglin Zhu, Ruifeng Xu*. Have my arguments been replied to? Argument Pair Extraction as Machine Reading Comprehension. Proceedings of 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), 2022. Dublin, Ireland (CCF-A)
Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu*. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. Proceedings of 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), 2022. Dublin, Ireland (CCF-A)
Yi Chen, Jiayang Cheng, Haiyun Jiang, Lemao Liu, Haisong Zhang, Shuming Shi, Ruifeng Xu*. Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing. Proceedings of 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), 2022. Dublin, Ireland (CCF-A)
Jun Gao, Wei Wang, Changlong Yu, Huan Zhao, Wilfred Ng, Ruifeng Xu*. Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering. Proceedings of 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), 2022. Dublin, Ireland (CCF-A)
Chuang Fan, Daoxing Liu, Libo Qin, Yue Zhang and Ruifeng Xu*. Towards Event-level Causal Relation Identification. Proceedings of 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain (CCF-A)
Chenwei Lou, Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Weiwei Tu and Ruifeng Xu*. Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction. Proceedings of 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain (CCF-A)
Qinglin Zhu, Bin Liang, Jingyi Sun, Jiachen Du, Lanjun Zhou and Ruifeng Xu*. Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge. Proceedings of 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain (CCF-A)
Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin and Ruifeng Xu*. Masking and Generation: An Unsupervised Method for Sarcasm Detection. Proceedings of 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain (CCF-A)
Lei Zhang, Min Yang, Chengming Li and Ruifeng Xu. Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization. Proceedings of 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain (CCF-A)
Shujie Li, Min Yang, Chengming Li and Ruifeng Xu. Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher. Proceedings of 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain (CCF-A)
Zijie Lin, Bin Liang, Yunfei Long, Yixue Dang, Min Yang, Min Zhang and Ruifeng Xu*. Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis. Proceedings of The 29th International Conference on Computational Linguistics (COLING 2022). Gyeongju, Korea （CCF-B)
Zeyi Zhong, Min Yang* and Ruifeng Xu. Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language Debiasing. Proceedings of The 29th International Conference on Computational Linguistics (COLING 2022). Gyeongju, Korea （CCF-B)
Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du, Bing Qin, Min Yang and Ruifeng Xu*. A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 ), Abu Dhabi, UAE. (CCF-B)
Yice Zhang, Yifan Yang, Yihui Li, Bin Liang, Shiwei Chen, Yixue Dang, Min Yang and Ruifeng Xu*. Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 ), Abu Dhabi, UAE. (CCF-B)
Jianzhu Bao, Yasheng Wang, Yitong Li, Fei Mi and Ruifeng Xu*. AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 ), Abu Dhabi, UAE. (CCF-B)
Bingbing Wang, Bin Liang, Jiachen Du, Min Yang and Ruifeng Xu*. SEMGraph: Incorporating Sentiment Knowledge and Eye Movement into Graph Model for Sentiment Analysis. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 ), Abu Dhabi, UAE. (CCF-B)
Han Zhang, Sheng Zhang, Yang Xiang, Bin Liang, Jinsong Su, Zhongjian Miao, Hui Wang and Ruifeng Xu*. CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation. Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 ), Abu Dhabi, UAE. (CCF-B)
Yi Chen, Haiyun Jiang, Lemao Liu, Rui Wang, Shuming Shi and Ruifeng Xu*. MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation. Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 ), Abu Dhabi, UAE. (CCF-B)
Jun Gao, Changlong Yu, Wei Wang, Huan Zhao and Ruifeng Xu*. Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 ), Abu Dhabi, UAE. (CCF-B)
Yang Sun, Bin Liang, Jianzhu Bao, Min Yang and Ruifeng Xu*. Probing Structural Knowledge from Pre-trained Language Model for Argumentation Relation Classification. Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 ), Abu Dhabi, UAE. (CCF-B)
Xuan Luo, Chuang Fan, Yice Zhang, Wanguo Jiang, Bing Qin and Ruifeng Xu*. Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering. Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 ), Abu Dhabi, UAE. (CCF-B)
Jun Gao, Yu Cao, Hanhao Qu, Liang Ding, Ruifeng Xu*. Interpretable Proof Generation via Iterative Backward Reasoning. Proceedings of 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2022)，Seattle, US (CCF-C)
Jun Wang, Qianlong Wang, Zhiyuan Wen, Xingwei Liang, Ruifeng Xu*. Interactive Fusion Network with Recurrent Attention for Multimodal Aspect-based Sentiment Analysis, Proceedings of The 2th CAAI International Conference(CICAI 2022). August 27–28, 2022, Virtual Event, Beijing, China (EI)
Zhenyu Li, Geng Tu, Xingwei Liang*, Ruifeng Xu*. Developing Relationships: A Heterogeneous Graph Network with Learnable Edge Representation for Emotion Identification in Conversations, Proceedings of the 2th CAAI International Conference (CICAI 2022). August 27–28, 2022, Virtual Event, Beijing, China (EI)
Xuan Luo, Yihui Li, Ruifeng Xu*. Solving a Cloze Test for Generative Commonsense Question Answering. Proceedings of 2022 International Conference on Cognitive Computing (ICCC 2022). December. (EI)
Ang Li, Xingwei Liang, Miao Zhang, Bingbing Wang, Guanrong Chen, Jun Gao, Qihui Lin, Ruifeng Xu*. A Coarse-to-Fine Text Matching Framework for Customer Service Question Answering. Proceedings of 2022 International Conference on Cognitive Computing (ICCC 2022). December. (EI) 会议Best Paper
Keyang Ding, Chenran Cai, Shijue Huang, Rui Wang, Qianlong Wang, Jianxin Li, Guozhong Shi, Feiran Hu, Fengxin Li, Ruifeng Xu*. Frequently Asked Question Pair Generation for Rule and Regulation Document, Proceedings of the 2022 International Conference on AI & Mobile Services (AIMS 2022). December 10 - 14, 2022. (EI)
Hongling Xu, Jingqian Zhao, Ruifeng Xu*, Yang Sun, Jianzhu Bao, Xiaoqi Yu, Yixue Dang. Indicator-Specific Recurrent Neural Networks with Co-Teaching for Stock Trend Prediction, Proceedings of the 2022 International Conference on AI & Mobile Services (AIMS 2022). December 10 - 14, 2022. (EI)
Jianzhu Bao, Chuang Fan, Jipeng Wu, Yixue Dang, Jiachen Du and Ruifeng Xu*. A Neural Transition-based Model for Argumentation Mining. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Vol. 1, pp. 354-6364, August 2021, Online（CCF-A）
Jun Gao, Wei Bi*, Ruifeng Xu* and Shuming Shi, An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pp. 2487-2500, August 2021, online. (CCF-A)
Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu and Min Yang*. Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) Vol.2, pp. 517-523, August 2021, online.(CCF-A）
Bin Liang, Chenwei Lou, Xiang Li, Lin Gui, Min Yang, Ruifeng Xu*. Multi-Modal Sarcasm Detection with Joint In-Modal and Cross-Modal Graphs. Proceedings of the 29th ACM International Conference on Multimedia (ACM MM 2021), pp. 4707-4715, October 2021, online. (CCF-A)
Chenwei Lou, Bin Liang, Lin Gui, Yulan He, Yixue Dang, Ruifeng Xu*. Affective Dependency Graph for Sarcasm Detection, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), pp. 1844–1849, August 2021, online.(CCF-A)
Binzong Geng, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu, Min Yang*. Iterative Pruning with Adaptive Regularization for Lifelong Sentiment Classification. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly (SIGIR 2021). pp. 1229–1238, July 2021, online. (CCF-A)
Lihan Wang, Min Yang*, Chengming Li, Ying Shen, Ruifeng Xu. Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). pp. 2086–2090, July 2021, online. (CCF-A)
Jianquan Li, Xiaokang Liu, Sheng Zhang, Min Yang*, Fengqing Qin, Ruifeng Xu. Accelerating Neural Architecture search for Text Classification with Knowledge Distillation and Earth Mover's Distance. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), pp. 2091–2095, July 2021, online. (CCF-A)
Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He, Ruifeng Xu*. Target-adaptive Graph for Cross-target Stance Detection, Proceedings of The 30th Web Conference (WWW 2021), pp. 3453–3464, April 2021, Online. (CCF-A)
Bowen Qin, Min Yang*, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu. Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. Proceedings of The Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI 2021), Vol. 35, No. 15, pp. 3453–3464, May 2021, online. (CCF-A)
Chunpu Xu, Min Yang*, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu. Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. Proceedings of The Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI 2021), Vol 35, No. 4, pp. 3453–3464, May 2021, online. (CCF-A)
Bin Liang#, Wangda Luo#, Xiang Li, Lin Gui, Min Yang, Xiaoqi Yu, Ruifeng Xu*. Enhancing Aspect-based Sentiment Analysis with Supervised Contrastive Learning. Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021), pp. 3242-3247, October 2021, Virtual Event, Australia. (CCF-B)
Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu, Rufieng Xu*. Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021 ), pp. 208-219, November 2021, online. (CCF-B)
Jianzhu Bao, Lin Liang, Jingyi Sun, Yice Zhang, Min Yang, Ruifeng Xu*. Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp. 3923-3934, November 2021, online. (CCF-B)
Qianlong Wang, Zhiyuan Wen, Qin Zhao, Min Yang, Ruifeng Xu*. Progressive Self-Training with Discriminator for Aspect Term Extraction. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), pp. 257-268, November 2021, online. (CCF-B)
Yi Chen, Haiyun Jiang, Lemao Liu, Shuming Shi, Chuang Fan, Min Yang, Ruifeng Xu*. An Empirical Study on Multiple Information Sources for Zero-shot Fine-grained Entity Typing. Proceedings of The 2021 Conference on Emperical Methods in Natural Language Processing (EMNLP 2021), pp. 2668–2678. November 2021, online (CCF-B)
Jun Gao, Yuhan Liu, Haolin Deng, Wei Wang, Yu Cao, Jiachen Du, Ruifeng Xu*. Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations.Findings of the Association for Computational Linguistics: EMNLP 2021 (EMNLP Findings 2021), pp. 807-819, November 2021, Punta Cana, Dominican Republic. (CCF-B)
Yuhan Liu, Jiachen Du*, Xiang Li, Ruifeng Xu*. Generating Empathetic Responses by Injecting Anticipated Emotion. Proceeding of Institute of Electrical and Electronics Engineers International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021). pp. 7403-7407, May 2021, Toronto, ON, Canada. (CCF-B)
Jingyi Sun, Qinglin Zhu, Jianzhu Bao, Ruifeng Xu*. A Hierarchical Sequence Labeling Model for Argument Pair Extraction. Proceedings of 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC2021), pp. 472-483, October. 2021, Qindao, China (CCF-C)
Qinglin Zhu, Zijie Lin, Yice Zhang, Jingyi Sun, Xiang Li, Qihui Lin, Yixue Dang, Ruifeng Xu*.HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection. Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021),pp. 521-526, August 2021, online.
Xuan Luo, Yiping Yin, Yice Zhang, and Ruifeng Xu*. A Privacy Knowledge Transfer Method for Clinical Concept Extraction. Proceedings of 2021 International Conference on AI and Mobile Services (AIMS 2021). pp. 18–28, December, 2021, online.
Yice Zhang, Yihui Li, Peng Xu, Ruifeng Xu*, Jianxin Li, Guozhong Shi, Feiran Hu. LightBERT: A Distilled Chinese BERT Model. Proceedings of 2021 International Conference on AI and Mobile Services (AIMS 2021). pp. 58-67, December, 2021, online.
Qin Zhao, Chenguang Hou, and Ruifeng Xu*. Quantum Attention Based Language Model for Answer Selection. Proceedings of 2021 International Conference on AI and Mobile Services (AIMS 2021). pp. 47-57, December, 2021, online.
Sean Xu, Yihui Li, Yice Zhang, Ruifeng Xu*, Jianxin Li, GuozhongShi, and Feiran Hu. Contrastive Learning for Multiple Models in One Supernet. Proceedings of 2021 International Conference on Cognitive Computing. December (ICCC 2021), pp.14-23, November, 2021. online.
Caihua Yang#, Jianzhu Bao, Xiaoqi Yu, Ruifeng Xu*. Target-based Sentiment Analysis in Finance with Domain Knowledge. Proceedings of 7th IEEE International Conference on Cloud Computing and Intelligence Systems. November, 2021.
Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui*, Min Yang and Ruifeng Xu*. Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. (ACL 2020), pp. 3707–3717, July 2020, Online. (CCF-A）
Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang*. Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Vol 34, No. 05, pp. 9169-9176. April 2020. (CCF-A）
Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang*. Interactive Dual Generative Adversarial Networks for Image Captioning. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Vol. 34, No. 07,pp. 11588-11595. April 2020. (CCF-A）
Bin Liang, Rongdi Yin, Lin Gui*, Jiachen Du, Yulan He, Ruifeng Xu*. Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. Proceedings of the 29th ACM International Conference on Information & Knowledge Management (CIKM 2020), pp. 825–834, October 2020 ,Virtual Event, Ireland. (CCF-B)
Chaofa Yuan, Chuang Fan, JianZhu Bao and Ruifeng Xu*. Emotion-Cause Pair Extraction as Sequence Labeling Based on A Novel Tagging Schema. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, pp. 3568–3573, November 2020, Online. (CCF-B)
Wanwei He, Min Yang*, Rui Yan, Chengming Li, Ying Shen and Ruifeng Xu. Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp. 3498–3507, November 2020, online. (CCF-B)
Jianquan Li, Xiaokang Liu, Honghong Zhao, Ruifeng Xu, Min Yang* and Yaohong Jin. BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover's Distance. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp. 3009–3018, November 2020, online. (CCF-B)
Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Ruifeng Xu*. Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis. Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), pp. 150–161, December 2020, Barcelona, Spain (online). (CCF-B)
Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang*. Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems. Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), pp. 4100–4110, December 2020, Barcelona, Spain, online. (CCF-B)
Rongdi Yin, Hang Su, Bin Liang, Jiachen Du and Ruifeng Xu*. Extracting the Collaboration of Entity and Attribute: Gated Interactive Networks for Aspect Sentiment Analysis. Proceedings of 9th CCF International Conference on Natural Language Processing and Chinese Computing. (NLPCC 2020), pp. 802–814, October 2020, Zhengzhou, China. (CCF-C)
Lei Chen, Ruifeng Xu, and Min Yang*. Overview of the NLPCC 2020 Shared Task: Multi-Aspect-based Multi-Sentiment Analysis (MAMS) . Proceedings of 9th CCF International Conference on Natural Language Processing and Chinese Computing. (NLPCC 2020), pp. 579-585, October 2020. Zhengzhou, China. (CCF-C)
Chaofa Yuan, Yuhan Liu, Jun Zhang, Ruibin Mao, Ruifeng Xu. Chinese Financial News Annotation For Target-based Sentiment Analysis. Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020), pp. 5040–5045, May 2020, Marseille, France.
Xiaochang Gong, Qin Zhao, Jun Zhang, Ruibin Mao, Ruifeng Xu. The Design and Construction of a Chinese Sarcasm Dataset. Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020), pp. 5034–5039, May 2020, Marseille, France.
Qin Zhao, Chenguang Hou, and Ruifeng Xu. Context Based Quantum Language Model with Application to Question Answering. Proceedings of The 4th International Conference on Cognitive Computing (ICCC 2020), pp. 27-38, September 2020. Honolulu, USA. (EI）
Wangda Luo, Hang Su, Yuhan Liu and Ruifeng Xu. A Dual Layer Regression Model for Cross-border Ecommerce Industry Sale and Hot Product Prediction. Proceedings of The 4th International Conference on Cognitive Computing (ICCC 2020), LNCS 12408 , pp. 50-61, September 2020. Honolulu, USA. (EI）
Jiaming Li, Yonghao Fu, Daoxing Liu and Ruifeng Xu. Improving Fake Product Detection with Aspect-based Sentiment Analysis. Proceedings of The 4th International Conference on Cognitive Computing (ICCC 2020), LNCS 12408, pp. 39-49 September 2020. Honolulu, USA. (EI）
Bin Liang, Jiachen Du, Ruifeng Xu*, Binyang Li and Hejiao Huang. Context-aware Embedding for Targeted Aspect-based Sentiment Analysis. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). pp. 4678–4683, June 2019, Florence, Italy. (CCF-A）
Chuang Fan, HongYu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu*, Ruibin Mao. A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). pp. 5614–5624. November 2019. Hong Kong, China. (CCF-B）
Lin Gui, Jia Leng, Gabriele Pergola, Ruifeng Xu, Yulan He. Neural Topic Model with Reinforcement Learning. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). pp. 3478–3483, November 2019, Hong Kong, China. (CCF-B）
Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang*. A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). pp. 6280–6285, November 2019, Hong Kong, China. (CCF-B）
Hongyu Yan, Qinghong Gao, Jiachen Du, Binyang Li and Ruifeng Xu*. Adversarial Training based Cross-lingual Emotion Cause Extraction. Proceedings of 20th International Conference on Computational Linguistics and Intelligent Text Processing(CICLING 2019). April , 2019, La Rochelle, France. (EI）
Changjian Liu, Jiaming Li, Yuhan Liu, Ruifeng Xu*, Buzhou Tang. Named Entity Recognition in Clinical Text based on Capsule-LSTM for Privacy Protection. Proceedings of the Eighth International Conference on AI and Mobile Services (AIMS 2019), Vol 11516, pp. 166-178, June 2019, San Diego, CA. (EI）
Yiping Yin, Qing Liao, Yang Liu and Ruifeng Xu*. Structural-based Graph Publishing under Differential Privacy. Proceedings of the third International Conference on Cognitive Computing (ICCC 2019). Vol 11518, pp. 67-78, JUN 2019, San Diego, CA. (EI）
Chuang Fan, Qinghong Gao, Jiachen Du, Lin Gui, Ruifeng Xu*, Kam-Fai Wong, Convolution-based Memory Network for Aspect-based Sentiment Analysis, Proceedings of The 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018). pp. 1161-1164, July 2018, Michigan, U.S.A. (CCF-A）
Di Chen, Jiachen Du, Lidong Bing, Ruifeng Xu. Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing(EMNLP 2018). pp. 665-670. November 2018, Brussels, Belgium. (CCF-B）
Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing and Xuan Wang. Variational Autoregressive Decoder for Neural Response Generation. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). pp. 3154–3163. November 2018, Brussels, Belgium. (CCF-B）
Lin Gui, Jiachen Du, Zhishan Zhao, Yulan He, Ruifeng Xu, Chuang Fan, An End-to-End Scalable Iterative Sequence Tagging with Multi-Task Learning. Proceedings of the 7th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2018). Vol. 11109, pp. 288-298. August 2018, Hohhot, China. (CCF-C)
Xu R, Wen Z. Evaluation of Cooperative Learning in Graduate Course of Natural Language Processing, Proceedings of the 3rd Annual International Symposium on Emerging Technologies for Education, Sete 2018 held in conjunction with ICWL 2018. LNCS 11284. pp. 180-189. August 2018, Chiang Mai, Thailand. (EI）
Li B, Xiang J, Chen L, et al. The UIR Uncertainty Corpus for Chinese: Annotating Chinese Microblog Corpus for Uncertainty Identification from Social Media, Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). pp. 495-498, May 2018, Miyazaki, Japan.
Chen D, Zhang Q, Chen G, et al. Forum User Profiling by Incorporating User Behavior and Social Network Connections, Proceedings of the 2nd International Conference on Cognitive Computing (ICCC 2018), Vol. 10971, pp. 30-42, June 2018, WA, USA. (EI）
Chen G, Zhang Q, Chen D. A Pair-Wise Method for Aspect-Based Sentiment Analysis, Proceedings of the 2nd International Conference on Cognitive Computing (ICCC 2018). Vol. 10971 pp. 18-29, June 2018, WA, USA. (EI）
Zhang Q, Chen G, Chen D. Adversarial Training for Sarcasm Detection,Proceedings of the 2nd International Conference on Cognitive Computing (ICCC 2018). Vol. 10971, pp. 43-54, June 2018, WA, USA. (EI）
Jiachen Du, Ruifeng Xu*, Yulan He, Lin Gui. Stance Classification with Target-Specific Neural Attention Networks. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017). pp. 3988–3994, August 2017, Melbourne, Australia. (CCF-A）
Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu* and Lu Qin, A Question Answering Approach for Emotion Cause Extraction. Proceedings of the 14th International Conference on Empirical Methods on Natural Language Processing (EMNLP 2017). No. 10 pp. 1593-1602, September 2017, Copenhagen, Denmark. (CCF-B）
Jiachen Du, Lin Gui, Ruifeng Xu* and Yulan He. A Convolutional Attention Model for Text Classification. Proceedings of the 6th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2017). Vol. 10619 pp. 183-195, November 2017, Dalian, China. (CCF-C）
Jiachen Du, Ruifeng Xu*, Lin Gui and Xuan Wang, Leveraging Target-oriented Information for Stance Classification. Proceedings of the 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING 2017). Vol. 10762 pp. 35-45, April 2017, Budapest, Hungary.
Zhishan Zhao, Jiachen Du, Qinghong Gao, Lin Gui, and Ruifeng Xu*. Inferring User Profile using Microblog Content and Friendship Network. Proceedings of the 6th National Conference on Social Media Processing (SMP 2017). Vol. 774 pp. 29-39, September 2017, Beijing, China.
Qinghong Gao, Jiannan Hu, Ruifeng Xu*, Yulan He, Kam-Fai Wong, Qin Lu. Overview of NTCIR-13 ECA Task. Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR 2017), pp. 361-366, December 2017, Tokyo, Japan.
Jiachen Du, Ruifeng Xu*, Zhiyuan Wen. A Symbolic Representation Approach of EEG Signals for Emotion Recognition. Proceedings of 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC 2017). pp. 666-671, December 2017, Shenzhen, China.
Jiachen Du, Lin Gui, Yulan He, Ruifeng Xu*. A Convolutional Attentional Neural Network for Sentiment Classification. Proceedings of 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC 2017). pp. 445-450, December 2017, Shenzhen, China.
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