Jinjin Chi

According to our database, Jinjin Chi authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploiting multi-level consistency learning for source-free domain adaptation.

Jihong Ouyang, Zhengjie Zhang, Qingyi Meng, Ximing Li, Jinjin Chi

Multim. Syst., October, 2024

Generalized Variational Inference via Optimal Transport.

Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization.

Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Approximate posterior inference for Bayesian models: black-box expectation propagation.

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang

Knowl. Inf. Syst., 2022

Fast copula variational inference.

Jinjin Chi, Jihong Ouyang, Ang Zhang, Xinhua Wang, Ximing Li

J. Exp. Theor. Artif. Intell., 2022

Approximate continuous optimal transport with copulas.

Jinjin Chi, Bilin Wang, Huiling Chen, Lejun Zhang, Ximing Li, Jihong Ouyang

Int. J. Intell. Syst., 2022

2021

Variational Wasserstein Barycenters with c-Cyclical Monotonicity.

Jinjin Chi, Zhiyao Yang, Jihong Ouyang, Ximing Li

CoRR, 2021

2019

Topic representation: Finding more representative words in topic models.

Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Ximing Li, Xinhua Wang

Pattern Recognit. Lett., 2019

Approximate Optimal Transport for Continuous Densities with Copulas.

Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Short text topic modeling by exploring original documents.

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang

Knowl. Inf. Syst., 2018

Empirical study on variational inference methods for topic models.

Jinjin Chi, Jihong Ouyang, Ximing Li, Changchun Li

J. Exp. Theor. Artif. Intell., 2018

Filtering out the noise in short text topic modeling.

Ximing Li, Yue Wang, Ang Zhang, Changchun Li, Jinjin Chi, Jihong Ouyang

Inf. Sci., 2018

Black-box Expectation Propagation for Bayesian Models.

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Wenting Wang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling.

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dataless Text Classification: A Topic Modeling Approach with Document Manifold.

Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016

Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs.

Ximing Li, Jinjin Chi, Changchun Li, Jihong Ouyang, Bo Fu

Proceedings of the COLING 2016, 2016