李熙铭论文成果

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李熙铭
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论文成果当前位置: 中文主页 >> 科学研究 >> 论文成果

[16] Ximing Li, Jihong Ouyang and Xiaotang Zhou. Adaptive Centroid-based Algorithm for Document Clustering. International Symposium on Parallel Architectures, Algorithms and Programming. Beijing, P.R. China, 2014, 63-68
[17] Jihong Ouyang, You Lu and Ximing Li. Momentum Online LDA for Large-scale Datasets. European Conference on Artificial Intelligence, 2014, 1075-1076. (short paper) CCF Rank B
[18] Ximing Li, Yang Wang, Zhao Zhang, Richang Hong and Meng Wang. RMoR-Aion: Robust Multi-output Regression by Simultaneously Alleviating Input and Output Noises. IEEE Transactions on Neural Networks and Learning Systems. 2020, in press. SCI, CCF Rank B
[19] Zhijuan Xu, Xueyan Liu, Xianjuan Cui, Ximing Li and Bo Yang. Robust Stochastic Block Model. Neurocomputing. 2019, 379:398-412，SCI, CCF Rank C
[20] Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li* and Xinhua Wang. Topic Representation: Finding More Representative Words in Topic Models. Pattern Recognition Letters. 2019, 123:53-60, SCI, CCF Rank C
[21] Bo Fu, Xiaoyang Zhao, Chuanming Song, Ximing Li and Xiang-Hai Wang. A Salt and Pepper Noise Image Denoising Method based on the Generative Classification. Multimedia Tools and Applications. 2019, 78(9):12043-12053, SCI, CCF Rank C
[22] Ximing Li, Ang Zhang, Changchun Li, Lantian Guo, Wenting Wang and Jihong Ouyang. Relational Biterm Topic Model: Short Text Topic Modeling using Word Embeddings. The Computer Journal. 2019, 62(3):359-372, SCI, CCF Rank B
[23] Jinjin Chi, Jihong Ouyang, Ximing Li and Changchun Li. Empirical Study on Variational Inference Methods for Topic Models. Journal of Experimental Theoretical and Artificial. Intelligence. 2019, 30(1):129-142, SCI, CCF Rank C
[24] Ximing Li, Ang Zhang, Changchun Li, Jihong Ouyang and Yi Cai. Exploring Coherent Topics by Topic Modeling with Term Weighting. Information Processing and Management. 2018, 54(6):1345-1358, SCI, CCF Rank B
[25] Xiaotang Zhou, Jihong Ouyang and Ximing Li. Two Time-efficient Gibbs Sampling Inference Algorithms for Biterm Topic Model. Applied. Intelligence. 2018, 48(3):730-754, SCI, CCF Rank C
[26] Xiaotang Zhou, Jihong Ouyang and Ximing Li. A More Time-efficient Gibbs Sampling Algorithm based on SparseLDA for Latent Dirichlet Allocation. Intelligent Data Analysis. 2018, 22(6):1227-1257, SCI, CCF Rank C
[27] Ximing Li, Yue Wang, Ang Zhang, Changchun Li, Jinjin Chi and Jihong Ouyang. Filtering out the Noise in Short Text Topic Modeling. Information Sciences. 2018, 456:83-96, SCI, CCF Rank B
[28] Ximing Li, Changchun Li, Jinjin Chi and Jihong Ouyang. Short text Topic Modeling by Exploring Original Documents. Knowledge and Information Systems. 2018, 56(2):443-462, SCI, CCF Rank B
[29] Yue-peng Zou, Jihong Ouyang and Ximing Li*. Supervised Topic Models with Weighted Words: Multi-label Document Classification. Frontiers of Information Technology & Electronic Engineering. 2018, 19(4):513-523, SCI
[30] Jianfeng Qu, Dantong Ouyang, Wen Hua, Yuxin Ye and Ximing Li. Distant Supervision for Neural Relation Extraction Integrated with Word Attention and Property Features. Neural Networks. 2018, 100:59-69, SCI, CCF Rank B

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