李熙铭论文成果

扫描手机二维码

欢迎您的访问
您是第位访客

最后更新时间 : ..

English | 手机版

!tvu.isPriviewMode()true showstate0
李熙铭
!tvu.isPriviewMode()true showstate0
( 教授 ) 赞
!tvu.isPriviewMode()true showstate0
的个人主页 https://teachers.jlu.edu.cn/XimingLi/zh_CN/index.htm

教授

论文成果当前位置: 中文主页 >> 科学研究 >> 论文成果

[1] Changchun Li, Ximing Li*, Jihong Ouyang and Yiming Wang. Semantics-assisted Wasserstein Learning for Topic and Word Embeddings. IEEE International Conference on Data Mining (ICDM), 2020, in press. CCF Rank B
[2] Chuangye Zhang, Yan Niu, Tieru Wu and Ximing Li. Color Image Super-Resolution and Enhancement with Inter-Channel Details at Trivial Cost. Journal of Computer Science and Technology. 2020, in press. SCI, CCF Rank B
[3] Changchun Li, Ximing Li* and Jihong Ouyang. Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies. ACM International Conference on Information and Knowledge Management (CIKM), 2020, in press. CCF Rank B.
[4] Ximing Li and Yang Wang. Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning. International Joint Conference on Artificial Intelligence, 2020, in press. CCF Rank A.
[5] Yiyuan Wang, Shaowei Cai, Shiwei Pan, Ximing Li and Minghao Yin. Reduction and Local Search for Weighted Graph Coloring Problem. AAAI Conference on Artificial Intelligence, 2020, in press. CCF Rank A
[6] Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou and Ximing Li. A Fine-grained and Noise-aware Method for Neural Relation Extraction. ACM International Conference on Information and Knowledge Management, 2019, 659-668. CCF Rank B
[7] Jinjin Chi, Jihong Ouyang, Ximing Li*, Yang Wang and Meng Wang. Approximate Optimal Transport for Continuous Densities with Copulas. International Joint Conference on Artificial Intelligence, 2019, 2165-2171. CCF Rank A
[8] Changchun Li, Jihong Ouyang and Ximing Li*. Classifying Extremely Short Texts by Exploring Semantic Centroids in Word Mover’s Distance Space. The Web Conference, 2019, 939-949. CCF Rank A
[9] Ximing Li, Jiaojiao Zhang and Jihong Ouyang. Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. AAAI Conference on Artificial Intelligence, 2019, 7884-7891. CCF Rank A
[10] Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang and Chenliang Li. Dataless Text Classification: A Topic Modeling Approach with Document Manifold. ACM International Conference on Information and Knowledge Management, 2018, 973-982. CCF Rank B
[11] 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
[12] 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
[13] 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
[14] 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
[15] 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

共40条 1/3

首页上页下页尾页页

地址：吉林省长春市前进大街2699号
信息管理和技术维护：吉林大学大数据和网络管理中心
版权所有 2017 吉林大学吉ICP备06002985号-1