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Xiping Hu

AAAI 2026×2ICML 2026INFOCOM 2026SIGIR 2026多模态强化学习与后训练智能体与工具效率与系统可解释性
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0 一作 · 5 篇 · AAAI 2026 / ICML 2026 / INFOCOM 2026 / SIGIR 2026

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2026 顶会论文

5
作者位次 #5/5ICML 2026Poster· Reinforcement Learning / Multi-agent

Sparse Topology-Aware Pairwise Scoring for Large-Scale Multi-Agent Reinforcement Learning

Zhibo Deng · Feng Liang · Yong Zhang · Xiaoxi Zhang · Xiping Hu

智能体与工具强化学习与后训练OpenReview
作者位次 #8/9SIGIR 2026Oral· Information Retrieval (Full)

Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation

Jinfeng Xu · Zheyu Chen · Shuo Yang · Jinze Li · Hewei Wang · Jianheng Tang · Wei Wang · Xiping Hu · Edith Cheuk-Han Ngai

摘要

Recent advancements in multimodal recommendations, which leverage diverse modality information to mitigate data sparsity and improve recommendation accuracy, have gained significant attention. However, existing multimodal recommendations overlook the critical role of user representation initializ...

效率与系统可解释性多模态OpenReview
作者位次 #3/4INFOCOM 2026Oral· Computer Communications & Networking

MoVi: Real-Time Large Multimodal Model-Driven Interactive Video Analytics on Mobile Devices

Zekai Li · Xiaoyi Fan · Xiping Hu · Yifei Zhu

多模态OpenReview

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