Wang, Guoyin

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

Shen, D., Wang, G., Wang, W., Min, M. R., Su, Q., Zhang, Y., Li, C., Henao, R., & Carin, L. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 328

A Fast Adaptive k-means with No Bounds

Xia, S., Peng, D., Meng, D., Zhang, C., Wang, G., Giem, E., Wei, W., & Chen, Z. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Clustering Algorithms ResearchData Mining and Machine Learning Applications

Cited by 149

Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification

Li, S., Yang, J., Bao, H., Xia, D., Zhang, Q., & Wang, G. (2025) · IEEE Transactions on Knowledge and Data Engineering

Rough Sets and Fuzzy LogicText and Document Classification Technologies

Cited by 45

Language Models As Semantic Indexers

Jin, B., Zeng, H., Wang, G., Chen, X., Wei, T., Li, R., Wang, Z., Li, Z., Li, Y., Lu, H., et al. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2

Are Human-generated Demonstrations Necessary for In-context Learning?

Li, R., Wang, G., & Li, J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1