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Guang Cheng

ICML 2026×5理论与学习动力学可解释性强化学习与后训练

新星分资深

19

一作贡献0

核心/参与12

方向广度6

合作网络3

0 一作 · 5 篇 · ICML 2026

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2026 顶会论文

5

作者位次 #2/3ICML 2026Poster· Theory / Game Theory

Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System

Yuantong Li · Guang Cheng · Xiaowu Dai

可解释性理论与学习动力学OpenReview

作者位次 #6/6ICML 2026Poster· Deep Learning / Generative Models and Autoencoders

ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learning

Xiaofeng Lin · Seungbae Kim · Zhuoya Li · Zachary DeSoto · Charles Fleming · Guang Cheng

强化学习与后训练OpenReview

作者位次 #7/7ICML 2026Poster

TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data

Namjoon Suh · Yuning Yang · Din-Yin Hsieh · Qitong Luan · Shirong Xu · Shixiang Zhu · Guang Cheng

作者位次 #6/6ICML 2026Poster· Theory / Probabilistic Methods

Corrected Samplers for Discrete Flow Models

Zhengyan Wan · Yidong Ouyang · Liyan Xie · Hongyuan Zha · Fang Fang · Guang Cheng

理论与学习动力学OpenReview

作者位次 #7/7ICML 2026Poster· Theory / Probabilistic Methods

Error Analysis of Discrete Flow with Generator Matching

Zhengyan Wan · Yidong Ouyang · Qiang Yao · Liyan Xie · Fang Fang · Hongyuan Zha · Guang Cheng

理论与学习动力学OpenReview

常见合作者

ZWZhengyan Wan×2 YOYidong Ouyang×2 LXLiyan Xie×2 HZHongyuan Zha×2 FFFang Fang×2 YLYuantong Li XDXiaowu Dai XLXiaofeng Lin SKSeungbae Kim ZLZhuoya Li ZDZachary DeSoto CFCharles Fleming