科研成果 - 论文发表




  • Qingxiao Chen, Ji Wu, Shusen Li, Peijun Lyu, Yong Wang, Miao Li. An ontology-driven, case-based clinical decision support model for removable partial denture design.Scientific Reports. 2016.

  • Zhiyang He, Xien Liu, Ping Lv and Ji Wu. Hidden Softmax Sequence Model for Dialogue Structure Analysis. The 54th Annual Meeting of the Association for Computational Linguistics. 2016.


  • He - Da Wang , Ji Wu. Collaborative Filtering of Call for Papers. 2015 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2015,P957-962

  • He-Da Wang, Ji Wu. Optimizing Seed Set for New User Cold Start.2015 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2015,P963-970

  • Ji Wu, Miao Li, Chin-hui Lee. A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution[J]. Audio, Speech, and Language Processing, IEEE Transactions on, 2015, 23(11): 2026 – 2035

  • Zhen Huang, Jinyu Li, Sabato Marco Siniscalchi, I-Fan Chen, Ji Wu and Chin-Hui Lee. Rapid Adaptation for Deep Neural Networks through Multi-Task Learning. Interspeech 2015.

  • Ji Wu, Miao Li and Chin-Hui Lee. An Entropy Minimization Framework for Goal-Driven Dialogue Management[C]//Sixteenth Annual Conference of the International Speech Communication Association. 2015.

  • Zhang Teng, Ji Wu. SPEECH EMOTION RECOGNITION WITH I-VECTOR FEATURE AND RNN MODEL. The Third IEEE China Summit and International Conference on Signal and Information Processing (China SIP 2015).

  • Zhiyang He, Ji Wu, Tao Li. Label Correlation Mixture Model: A Supervised Generative Approach to Multilabel Spoken Document Categorization[J]. Emerging Topics in Computing, IEEE Transactions on, 2015, 3(2),p235-245. (EI: 20152600983879)

  • Hongyi Ding,Ji Wu. Predicting Retweet Scale Using Log-Normal Distribution. BigMM 2015.(EI: 20153701270913)

  • Hongyi Ding, Ji Wu. A Retweet Scale Prediction Model Based on Truncated Distribution Estimation. WSDM-BData 2015.


  • Teng Zhang, Ji Wu, Dingding Wang, Tao Li. Audio Retrieval Based on Perceptual Similarity. collaborateCom,2014, pp 342-348, January 19, 2015

  • Yungang Ma, Ji Wu. Combining N-Gram and Dependency Word Pair for Multi-document Summarization. 2014 IEEE 17th International Conference on Computational Science and Engineering (CSE), pp.27-31.


  • Zhipeng Chen, Teng Zhang, Ji Wu. SUBWORD SCHEME FOR KEYWORD SEARCH.in SLT,2014,483-488

  • Gang Zhao, Ping Lu, Ruochen Xu, Qiyu Zhi, and Ji Wu. Msiipl_thu at tac2014 entity discovery and linking track. In Proc. Text Analysis Conference (TAC2014).

  • Zhiyang He, Ping Lv, Ji Wu.An Effective and Robust Approach to Mandarin Spoken Language Understanding in Specific Domain.ISCSLP 2014,Singapore,2014.9, pp.604-608.

  • Zhiyang He, Ping Lv, Ji Wu.Minimum Classification Error Rate Training of Supervised Topic Mixture Model for Multi-label Text Categorization. ISCSLP 2014,Singapore,2014.9, pp.39-43.

  • Zhipeng Chen, Zhiyang He, Ping Lv, Ji Wu.Improving Keyword Search by Query Expansion in a Probabilistic Framework. ISCSLP 2014, Singapore, 2014.9, pp.187-191.

  • Miao Li, Hongyi Ding, Ji Wu,Global Discriminative Model for Dependency Parsing in NLP Pipeline. ISCSLP 2014,Singapore,2014.9, pp.614-618.

  • Shusen Li, Zhiyang He, Ji Wu.An Ontology Semantic Tree based Natural Language Interface. ISCSLP 2014,Singapore,2014.9, pp.226-230.


  • Zhipeng Chen, Zhiyang He, Ping Lv, Ji Wu. Efficiency Optimization on WFST Network Construction and WFST-based Decoder in Speech Recognition. National Conference on Man-Machine Speech Communication, NCMMSC2013,Guiyang,2013.

  • Xiao-Lei Zhang, Ji Wu. Deep belief networks based voice activity detection. IEEE Transactions on Audio, Speech, and Language Processing, vol.21,no.4,697-710, April 2013. (IDSNumber:072ZB,EI:20130415922806)

  • Xiao-Lei Zhang, Ji Wu. Denoising deep neural networks based voice activity detection. In Proceedings of the 38th IEEE International Conference on Acoustic, Speech, and Signal Processing, Vancouver, Canada, May,pp853-857,2013.

  • Xiao-Lei Zhang, Ji Wu. Weight optimization and layered clustering-based ECOC.In Proceedings of the 38th IEEE International Conference on Acoustic, Speech, and Signal Processing, Vancouver, Canada, May,pp3477-3481,2013.


  • Yang Le, Wu Ji, LV Ping. Construction Algorithm of Sub-word Unit in Speech Retrieval. Computer Engineering, vol.38, no. 24, p251-253,2012.12.

  • Zhiyang He, Ping Lv, Wei Li, Wu Ji, A Synchronized Pruning Composition Algorithm of Weighted Finite State Transducers for Large Vocabulary Speech Recognition. the 8th International Symposium on Chinese Spoken Language Processing (ISCSLP2012) , Hongkong, 2012.12. pp11-15. (EI:20131016084504)

  •  Qinghua Wu, Zhang Xiao-Lei, Ping Lv, Wu Ji, Perceptual Similarity between Audio Clips and Feature Selection for Its Measurement. the 8th International Symposium on Chinese Spoken Language Processing (ISCSLP2012) , Hongkong, 2012.12. pp387-391. (EI:20131016084506)

  • X.-L. Zhang and J. Wu, “Linearithmic time sparse and convex maximum margin clustering,” IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, vol. 42, no.6, pp. 1669-1692, 2012. (IDS Number:040VS,EI:20124815713863)

  •  X. L. Zhang, J. Wu, Z. P. Chen, and P. Lv, Optimized weighted decoding for error correcting output codes. in Proceedings of the  International Conference on Acoustic, Speech, and Signal Processing (ICASSP), 2012, pp. 2101–2104. (ISTP : BDA84,EI: 20124315596765)

  • Zhihui Du, Xiangyu Li, Ji Wu. Accelerating the Training of HTK on GPU with CUDA. ParLearning 2012. Shanghai, China,pp.1907-1914,May,2012. (ISTP:BCA26,EI:20124215581182)


  • Yu Xiaojie, Wu Ji, Kong Fanting, Li Shusen, Fusing Multi-information for Automatic Story Segmentation of Broadcast News. Journal of Chinese Information Processing, 2012, 3, 26(2). pp 121-127.


  • Wu Ji, Zhang Xiao-Lei. SPARSE KERNEL MAXIMUM MARGIN CLUSTERING. Source: NEURAL NETWORK WORLD, v 21, n 6, p 551-573.2011.

  • Li Wei,Wu Ji, Ping Lv. Query expansion based high performance Chinese voice retrieval, Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, August 2011,24,(4),pp561-566.

  • Zhang Xiaolei, Wu Ji, Ping Lv.Support vector machine based VAD by using multiple observation compound feature. Tsinghua Science and Technology Journal of Tsinghua University Science and Technology,2011,51(9)pp1209-1214.

  • Li Wei , He Zhiyang, Ping Lv, Wu Ji.Topology-related ε-Removal Algorithm for Weighted Finite-state Transducer, National Conference on Man-Machine Speech Communication, NCMMSC2011,Xi’an,2011,10.

  • Yu Xiaojie, Shao Yang, Wu Ji, Wang XiaA Fusion Summarization     Framework based on SVM and MMR, National Conference on Man-Machine Speech Communication, NCMMSC2011,Xi’an,2011,10.

  • Wu Ji and Zhang Xiao-Lei. Efficient multiple kernel support vector machine based voice activity detection, IEEE Signal Process Letters, vol. 18, no. 8, pp. 466-469, 2011.

  • Wu Ji and Zhang Xiao-Lei. An efficient voice activity detection algorithm by combining statistical model and energy detection,  EURASIP Journal on Advances in Signal Processing, vol. 2011, no. 1, pp. 18-27, 2011.

  • Wu Ji and Zhang Xiao-Lei. Maximum margin clustering based statistical VAD with multiple observation compound feature, IEEE Signal Process. Lett., vol. 18, no. 5, pp. 283–286.

  • Wu Ji, Zhiyang He and Ping Lv. An Active Learning Approach to Task Adaptation, in Proc. Interspeech 2011, Florence, Italy, 2011, pp. 2597-2600.

  • 李伟, 吴及, 吕萍. 低空间复杂度的加权有限状态转换器合成算法. 计算机应用研究, 28 (8), 2931-2934,2011.


  • Wei Li, Wu Ji, Ping Lv. High Performance Chinese Spoken Term Detection Based on Term Expansion. ISCSLP 2010, Tainan, TaiWan, 2010, pp. 430-434

  • Wenzhu SHEN, Wu Ji and Wei LI. Web-Based Keyword Adapted Language Modeling for Keyword Spotting ISCSLP 2010, Tainan, TaiWan, 2010, pp. 251-255

  • 李伟 吕萍 吴及, 面向海量数据的语音敏感信息检测系统. 信息工程大学学报, 2010, 11(5): 544-548

  • Wu Ji, X. Zhang, and W. Li, “A New VAD Framework Using Statistical Model and Human Knowledge Based Empirical Rule,” in Proceedings of the 11th annual conference of the ISCA (INTERSPEECH 2010), Sept. 2010, pp. 3090–3093

  • 李伟, 吴及, 吕萍,基于前后向语言模型的语音识别词图生成算法,《计算机应用》,2010 Vol. 30 (10): 2563-2566

  • 苏藤荣, 吴及, 王作英. 基于空间相关性变换的声学模型训练, 电子与信息学报, 2010, 32(4),P1003-1007.

  • 苏藤荣, 吴及, 王作英, 吕萍. 利用空间相关性的改进HMM模型, 计算机工程与设计, 2010, 31(5),  P1023-1026.


  • Wenzhu Shen, Roger Peng Yu, Frank Seide, Ji Wu. Automatic Punctuation Generation For Speech, In: Proc. IEEE Automatic Speech Recognition and Understanding Workshop(ASRU), Merano, Italy, 2009.12, p 586-589

  • 苏腾荣, 吴及, 王作英. 用于语音识别的空间相关性变换. 清华大学学报(自然科学版), 2009, 49(10): 1655-1659.

  • Su, Tengrong, Wu, Ji, Wang, Zuoying, Hao, Jie. Improvements on minimum covariance based spatial correlation transformation. ICASSP 2009. vol 1-8: 4581-4584.

  • 李伟, 吴及, 王智国. 一种快速的语音识别词图生成算法. 清华大学学报(自然科学版), 2009, S1: 1254-1257.

  • 钱胜, 吕萍, 吴及. 改进的基于增量估计的快速高斯计算. 清华大学学报(自然科学版), 2009, S1: 1258-1261.

  • 苏腾荣, 吴及, 王作英. 空间相关性变换及其在语音识别中的应用. 清华大学学报(自然科学版), 2009, 10: 82-86

  • 贺志阳, 李伟, 吴及. 基于任务分析的自适应数据挑选. 第十届全国人机语音通讯学术会议暨国际语音语言处理研讨会论文摘要集.


  • Su, Tengrong, Wu, Ji, Wang, Zuoying. Spatial correlation transformation based on minimum covariance. ICASSP, 2008, vols 1-12: 4697-4700.

  • 胡艳芳, 吴及, 刘慧星. 基于MLER的语音/音乐分类方法. 清华大学学报(自然科学版), 2008, vol.48: 720-724.

  • Li, Wei, Wu, Ji, Wang, Zhiguo. A trellis based fast lattice generating algorithm. ISCSLP 2008: 189-192.

  • 王智国, 吴及, 戴礼荣, 王仁华. 一种对加性噪声和信道函数联合补偿的模型估计方法. 声学学报(中文版), 2008, 33(3): 238-243.

  • He, ZY, Li, W, Wu, J. Task Analysis Methods for Data Selection in Task Adaptation on Mandarin Isolated Word Recognition. ICSP 2008 vols. 1-5: 697-700

  • He, ZY, Wang, ZG, Li, W, Wu, J. A Combined Task Analysis Method for Data Selection in Mandarin Isolated Word Recognition System. ISCSLP 2008: 213-216


  • 胡艳芳,吴及,刘慧星. 基于MLER的语音/音乐分类方法. 第九届全国人机语言通讯学术会议论文集,黄山,2007.10.

  • 雷雄国,鄢志杰,王智国,吴及. 非均匀高斯绑定技术的研究. 第九届全国人机语言通讯学术会议论文集,黄山,2007.10.


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