Yiming Wang

According to our database, Yiming Wang authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting.

Jinjin Chi, Lei Feng, Lulu Zhang, Yongcheng Jing, Yiming Wang, Ximing Li, Jialie Shen, Leszek Rutkowski, Dacheng Tao

CoRR, May, 2026

Generalizing Dynamics Modeling More Easily from Representation Perspective.

Yiming Wang, Zhengnan Zhang, Genghe Zhang, Jiawen Dan, Changchun Li, Chenlong Hu, Chris Nugent, Jun Liu, Ximing Li, Bo Yang

CoRR, March, 2026

2025

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations.

Bing Wang, Ximing Li, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

A collection of nine multi-label text classification datasets.

Yiming Wang

Dataset, November, 2024

Applying Kumaraswamy distribution on stick-breaking process: a Dirichlet neural topic model approach.

Jihong Ouyang, Teng Wang, Jingyue Cao, Yiming Wang

Neural Comput. Appl., August, 2024

2022

Extracting nonlinear neural topics with neural variational bayes.

Yiming Wang, Ximing Li, Jihong Ouyang, Zeqi Guo, Yimeng Wang

World Wide Web, 2022

Weakly-supervised Text Classification with Wasserstein Barycenters Regularization.

Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Layer-Assisted Neural Topic Modeling over Document Networks.

Yiming Wang, Ximing Li, Jihong Ouyang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts.

Yiming Wang, Ximing Li, Xiaotang Zhou, Jihong Ouyang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks.

Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Semantics-assisted Wasserstein Learning for Topic and Word Embeddings.

Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020