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2026 顶会论文

作者位次 #2/3NeurIPS 2026Poster· Reinforcement Learning / Everything Else

Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution

Zhenshuo Zhang · Ruoxuan Xiong · Hongyang Zhang

强化学习与后训练OpenReview

作者位次 #4/6NeurIPS 2026Poster· Social Aspects / Accountability, Transparency and Interpretability

Designing Kernel Surrogate Models for Multimodal Attribution

Ziniu Zhang · Zhenshuo Zhang · Jianglin Lu · Ruoxuan Xiong · Yun Fu · Hongyang Zhang

可解释性多模态社会与人本OpenReview

作者位次 #3/3ACL 2026Findings· Findings of ACL

Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness

Zihan Liang · Ziwen Pan · Ruoxuan Xiong

摘要

Multimodal clinical records contain structured measurements and clinical notes recorded over time, offering rich temporal information about the evolution of patient health. Yet these observations are sparse, and whether they are recorded depends on the patient’s latent condition. Observation patt...

评测与基准社会与人本可解释性OpenReview 项目页

作者位次 #3/5KDD 2026Oral· Knowledge Discovery & Data Mining

Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization

Yi He · Anpeng Wu · Ruoxuan Xiong · Yingrong Wang · Kun Kuang

检索与知识强化学习与后训练OpenReview

Ruoxuan Xiong

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2026 顶会论文

Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution

Designing Kernel Surrogate Models for Multimodal Attribution

Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness

Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization

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