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Shaobo Li, Chengjie Sun, Bingquan Liu, Yuanchao Liu, Zhenzhou Ji. Modeling Extractive Question Answering Using Encoder-Decoder Models with Constrained Decoding and Evaluation-Based Reinforcement Learning[J]. Mathematics, 2023, 11(7):1624.
Shaobo Li, Chengjie Sun, Zhen Xu, Prayag Tiwari, Bingquan Liu, Deepak Gupta, K. Shankar, Zhenzhou Ji, Mingjiang Wang. Toward Explainable Dialogue System Using Two-stage Response Generation[J]. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, 22(3): 1-18.
Ziyi Cao; Bingquan Liu; Shaobo Li ; RPA: Reasoning Path Augmentation in Iterative Retrieving for Multihop QA, 37th AAAI Con ference on Artificial Intelligence, AAAI 2023, Washington DC, USA, 2023-2-7至2023-2-14
Shaobo Li; Xiaoguang Li; Lifeng Shang; Zhenhua Dong; Chengjie Sun; Bingquan Liu; Zhenzhou Ji; Xin Jiang; Qun Liu ; How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis, 60th Annual Meeting of the Association for Computational Linguistics, Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, 2022-5-22至2022-5-27
Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu. Pre-training Language Models with Deterministic Factual Knowledge[C]. Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, United Arab Emirates, 2022: 11118-11131
Shaobo Li*, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu. HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions, 35th AAAI Conference on Artificial Intelligence, A virtual conference, 2021.2
李少博，孙承杰，徐振，刘秉权，季振洲，王明江. 基于知识拷贝机制的生成式对话模型. CCL 2019,计算语言学会议，昆明，2019.10
Zhen Xu, Chengjie Sun, Yinong Long, Bingquan Liu, Baoxun Wang, Mingjiang Wang, Min Zhang, and Xiaolong Wang. Dynamic Working Memory for Context-Aware Response Generation. IEEE/ACM Transactions on Audio Speech & Language Processing, 2019, 27(9):1419-1431.
Liu,BQ; Xu,Z;Sun,CJ; Wang,BX; Wang,XL; Wong,Derek F.; Zhang,M Content-Oriented User Modelingfor Personalized Response Ranking in Chatbots[J]. IEEE/ACM Transactions onAudio Speech & Language Processing, 2018, 26(1):122-133.
XuZ, Liu B, Wang B, et al. NeuralResponse Generation via GAN with an Approximate Embedding Layer[C]//Proceedingsof the 2017 Conference on Empirical Methods in Natural Language Processing.2017: 617–626.
Z.Xu, B. Liu, B. Wang, C. Sun and X.Wang, "Incorporating loose-structured knowledge into conversation modelingvia recall-gate LSTM," 2017 International Joint Conference on NeuralNetwork
BingquanLiu,Yumeng Liu, Xiao-long Wang, and Bin Liu. iRSpot-DACC: a computational predictorfor recombination hot/cold spots identification based on dinucleotide-basedauto-cross covariance, Scientific Reports 6, 33483; doi:10.1038/srep33483(2016).
BingquanLiu1#*,Yumeng Liu2#, Dong Huang. Recombination hot/cold spot identification combiningthree different features via an ensemble learning approach, BioMed ResearchInternational, Volume 2016,
Junjie Chen,1 Bingquan Liu(通讯作者),2 andDong Huang1,3. Protein Remote Homology Detection Based on an Ensemble LearningApproach, BioMed Research International,Volume 2016
刘秉权，徐振，刘峰，刘铭，孙承杰，王晓龙. 面向问答社区的答案摘要方法研究综述，中文信息学报，Vol.30(1),2016:1-7
刘秉权，刘峰，王晓龙，孙承杰，刘铭. 社会网络中序列行为的链接值及事件结果预测. 中国科学：信息科学，2015年，第45卷，第12期：1558-1573
F Liu，B Liu，C Sun，M Liu，X Wang. Deep Belief Network-Based Approachesfor Link Prediction in Signed Social Networks. Entropy, 2015, 17(4):2140-2169
BingquanLiu,JianFeng,Ming Liu,Haifeng Hu,Xiaolong Wang. Predicting the quality ofuser-generated answers using co-training in community-based question answeringportals. Pattern Recognition Letters,58(2015):29-34
BingquanLiu,Baoxun Wang, Zhen Xu, Xiaolong Wang, Peng Li. Classifying Blog Posts with TagPropagation, International Journal of Asian Language Processing,Vol23(1):35-45,2015
BingquanLiu, Jian Feng, Ming Liu, Feng Liu, Xiaolong Wang, and Peng Li, Computing SemanticRelatedness Using a Word-Text Mutual Guidance Model, The 3rd CCFConference on Natural Language Processing &Chinese Computing (NLPCC 2014), December5.2014, pp. 67–78.
Baoxun Wang, Bingquan Liu, Chengjie Sun, Xiaolong Wang. Thread SegmentationBased Answer Detection in Chinese Online Forums. ACTA AUTOMATICA SINICA,2013Vol. 39 (1): 11-20
Ming Liu, Bingquan Liu, Yuanchao Liu, Chengjie Sun. Data Evolvement AnalysisBased on Topology Self-Adaptive Clustering Algorithm. Information Technologyand Control. Vol.41(2), pp.162-172, 2012
BAOXUN WANG, BINGQUAN LIU, XIAOLONG WANG, CHENGJIE SUN, and DEYUAN ZHANG. DeepLearning Approaches to Semantic Relevance Modeling for Chinese Question-AnswerPairs. ACM Transactions on Asian Language Information Processing (TALIP),Vol.10(4), pp.2101-2116, 2011
Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong Wang. Learning the kernelcombination for object categorization. Computer and Information Science,Vol.4(3), pp.2929-2932, 2011
Haifeng Hu, Bingquan Liu, Baoxun Wang, Ming Liu, Xiaolong Wang. Multimodal DBNfor Predicting High-Quality Answers. The 51th Annual Meeting of the Associationfor Computational Linguistics, Sofia, Bulgaria, Aug. 4-9, 2013:843-847
Feng Liu, Bingquan Liu, Xiaolong Wang, Ming Liu, Baoxun Wang. Features forlink prediction in social networks: a comprehensive study. 2012 IEEEInternational Conference on Systems,Man,and Cybernetics. pp1706 – 1711, Seoul,Korea, Oct.14-17,2012
BingquanLiu,Baoxun Wang, Chengjie Sun and Xiaolong Wang. Classifying Blog Posts with TagPropagation. NLP-KE 2012 Proceedings of the 8th International Conference onNatural Language Processing and Knowledge Engineering. pp156-166,Hefei,China,SEPT, 20-24,2012
Bo You, Ming Liu, Bingquan Liu and Xiaolong Wang. Detecting Hot Topics in TechnologyNews Streams. Proceedings of the 2012 International Conference on MachineLearning and Cybernetics, pp1968-1974, Xi’an, China, July 15-17, 2012
WEN-FENG XUAN, BING-QUAN LIU, CHENG-JIE SUN, DE-YUAN ZHANG, XIAO-LONG WANG.FINDING MAIN TOPICS IN BLOGOSPHERE USING DOCUMENT CLUSTERING BASED ON TOPICMODEL. Proceedings of the 2011 International Conference on Machine Learning andCybernetics, pp.1902-1908, Guilin, China, July 10-13, 2011
Baoxun Wang, Xiaolong Wang, Chengjie Sun, Bingquan Liu and Lin Sun. ModelingSemantic Relevance for Question-Answer Pairs in Web Social Communities. The48th Annual Meeting of the Association for Computational Linguistics,pp:1230-1238, Uppsala, Sweden, July 11–16, 2010
Lin Sun, Bingquan Liu, Wang Baoxun Xiaolong Wang. A Clustering based Fast Detection Algorithm for Large Scale Duplicate Emails.Proceedings of the Ninth Inernational Conference on Machine Learning andCybernetics, pp.3270-3274, Qingdao,China, July 11-14, 2010
Lin Sun, Bingquan Liu, Baoxun Wang, Deyuan Zhang, Xiaolong Wang . A StudyOf Features On Primary Question Detection In Chinese Online Forums. Proceedings- 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery,FSKD 2010, v5, pp.2422-2427, Yantai, China, August 10-12, 2010
Deyuan Zhang, Xiaolong Wang, Bingquan Liu. Learning the KernelCombination for Object Categorization. 2010 20th International Conference onPattern Recognition, pp.2929-2932, Istanbul, Turkey, August 23-26, 2010
Lei Jiang , Yuanchao Liu, Bingquan Liu, Chengjie Sun, XiaolongWang. Research of Sentiment Block Identification for Customer Reviews Based onConditional Random Fields. Lecture Notes in Computer Science (includingsubseries Lecture Notes in Artificial Intelligence and Lecture Notes inBioinformatics) ;The Sixth Asia Information Retrieval Societies Conference(AIRS 2010), pp.261-269, December 1-3, 2010
Yong Cheng ，Chengjie Sun ，Bingquan Liu ，LeiLin. CRF tagging for head recognition based on Stanford parser. Proceedings ofCIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP2010),pp.322-325, Beijing,China, August 28-29,2010
Chang Sun, Bingquan Liu, Chengjie Sun, Deyuan Zhang, Xiaolong Wang. SimRank: ALink Analysis Based Blogger Recommendation Algorithm Using Text Similarity.2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010,v 6, pp.3368-3373, Qingdao, China, July 11-14, 2010
Qi Zhao Chengjie Sun, Bingquan Liu, Yong Cheng. Learning to Detect Hedges and theirScope using CRF. Proceedings of the Fourteenth Conference on ComputationalNatural Language Learning: SharedTask, pp.100–105, Uppsala,Sweden, July15-16,2010
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