1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Computational Challenges in Token Economics: Bridging Economic Theory and AI System Design
Ou Wu, Yingjun Deng
Token economics has emerged as a useful lens for understanding resource allocation, value creation, and pricing in large language model systems. While recent work has increasingly…
stat.ME2022
A Latent Logistic Regression Model with Graph Data
Haixiang Zhang, Yingjun Deng, Alan J. X. Guo +2
Recently, graph (network) data is an emerging research area in artificial intelligence, machine learning and statistics. In this work, we are interested in whether node's labels (p…
cs.LG2022★ 1 cited
Exploring the Learning Difficulty of Data Theory and Measure
Weiyao Zhu, Ou Wu, Fengguang Su +1
As learning difficulty is crucial for machine learning (e.g., difficulty-based weighting learning strategies), previous literature has proposed a number of learning difficulty meas…