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JL

Jiye Liang

ICML 2026×5AAAI 2026×2强化学习与后训练效率与系统理论与学习动力学可解释性

新星分资深

23

一作贡献0

核心/参与12

方向广度11

合作网络3

0 一作 · 7 篇 · ICML 2026 / AAAI 2026

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2026 顶会论文

7

作者位次 #7/7ICML 2026Spotlight· Reinforcement Learning / Deep RL

ScaleMoE: Mixture-of-Experts for Scalable Continuous Control in Actor-Critic Reinforcement Learning

Yi Ma · Chenjun Xiao · Hongyao Tang · Yaodong Yang · Jinyi Liu · Jing Liang · Jiye Liang

强化学习与后训练效率与系统OpenReview

作者位次 #6/6ICML 2026Poster· Reinforcement Learning / Batch/Offline

Q-SAM: Unlocking Sharpness-Aware Minimization for Generalization in Offline Reinforcement Learning

Da Wang · Yi Ma · Ting Guo · Lin Li · Wei Wei · Jiye Liang

强化学习与后训练理论与学习动力学OpenReview

作者位次 #3/3ICML 2026Poster· Applications / Time Series

Credibility-Aware Weighting Federated Causal Discovery for Time Series

Jiegang Xu · Fuyuan CAO · Jiye Liang

作者位次 #5/5ICML 2026Poster· Deep Learning / Graph Neural Networks

Learning Molecular Semantic Invariant Representation with Prototype Constraint

Zhiqiang Li · Jianqing Liang · Zhiqiang Wang · Xizhao Luo · Jiye Liang

可解释性OpenReview

作者位次 #7/7ICML 2026Poster· Deep Learning / Graph Neural Networks

Multi-scale Explainer for Graph Neural Networks

Lutong Wu · Shiying Cheng · Zhiqiang Wang · Jianqing Liang · Peng Song · Xizhao Luo · Jiye Liang

作者位次 #3/5AAAI 2026Poster· Artificial Intelligence

Point Cloud Semantic Scene Completion with Prototype-Guided Transformer

Chenghao Fang · Jianqing Liang · Jiye Liang · Zijin Du · Feilong Cao

作者位次 #3/5AAAI 2026Poster· Artificial Intelligence

Semantic Guided Part Relation-aware Network for Point Cloud Completion

Zhensheng Zhou · Jianqing Liang · Jiye Liang · Zijin Du · Chenghao Fang

常见合作者

JLJianqing Liang×4 YMYi Ma×2 ZWZhiqiang Wang×2 XLXizhao Luo×2 CFChenghao Fang×2 ZDZijin Du×2 CXChenjun Xiao HTHongyao Tang YYYaodong Yang JLJinyi Liu JLJing Liang DWDa Wang