4 citations · 4 across the 5 of their papers we have counts for
5 papers
Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration
Chongsheng Zhang, Hao Wang, Zelong Yu +7
Imbalanced data are commonly present in real-world applications. While data synthesis can effectively mitigate data scarcity for rare classes, and LLMs have revolutionized text gen…
GUARD: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation
Yuanhao Ding, Esteban Garces Arias, Meimingwei Li +6
Open-ended text generation faces a critical challenge: balancing coherence with diversity in LLM outputs. While contrastive search-based decoding strategies have emerged to address…
Explainable Coarse-to-Fine Ancient Manuscript Duplicates Discovery
Chongsheng Zhang, Shuwen Wu, Yingqi Chen +5
Ancient manuscripts are the primary source of ancient linguistic corpora. However, many ancient manuscripts exhibit duplications due to unintentional repeated publication or delibe…
A Systematic Review on Long-Tailed Learning
Chongsheng Zhang, George Almpanidis, Gaojuan Fan +6
Long-tailed data is a special type of multi-class imbalanced data with a very large amount of minority/tail classes that have a very significant combined influence. Long-tailed lea…
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification
Chongsheng Zhang, Paolo Soda, Jingjun Bi +3
In predictive tasks, real-world datasets often present different degrees of imbalanced (i.e., long-tailed or skewed) distributions. While the majority (the head) classes have suffi…