李熙铭

Professor

Gender:Male

Education Level:Doctor graduate

Publication

Current position: Home > Scientific Research > Publication

Ximing Li, Changchun Li, Jinjin Chi and Jihong Ouyang. Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling. International Joint Conference on Artificial Intelligence, 2018, 2404-2410. CCF Rank A
Ximing Li and Bo Yang. A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words. International Conference on Computational Linguistics, 2018, 1908-1917. CCF Rank B
Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang and Wenting Wang. Black-box Expectation Propagation for Bayesian Models. SIAM International Conference on Data Mining, 2018, 603-611. CCF Rank B
Ximing Li, Jinjin Chi, Changchun Li, Jihong Ouyang and Bo Fu. Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs. International Conference on Computational Linguistics. Osaka Japan, 2016, 151-160. CCF Rank B
Ximing Li, Jihong Ouyang and Xiaotang Zhou. Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation. SIAM International Conference on Data Mining. Florida, USA, 2016, 729-737. CCF Rank B
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
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
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
Zhijuan Xu, Xueyan Liu, Xianjuan Cui, Ximing Li and Bo Yang. Robust Stochastic Block Model. Neurocomputing. 2019, 379:398-412，SCI, CCF Rank C
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

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