1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
Ying-Hsuan Wu, Jun-Wei Hsieh, Li Xin +3
Real-world datasets commonly exhibit noisy labels and class imbalance, such as long-tailed distributions. While previous research addresses this issue by differentiating noisy and…
cs.LG2023★ 1 cited
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction
Cheng Ruei Tang, Jun Wei Hsieh, Shin You Teng
Existing traffic signal control systems rely on oversimplified rule-based methods, and even RL-based methods are often suboptimal and unstable. To address this, we propose a cooper…