Kaixiang Wang — accepted AI-conference papers

2026

E-mem: Multi-Agent Based Episodic Context Reconstruction for LLM Agent Memory

Kaixiang Wang, Yidan Lin, Jiong Lou, Zihan Wang, Bunyod Suvonov, Zhaojiacheng Zhou +5

ICML 2026poster

The evolution of Large Language Model (LLM) agents towards System~2 reasoning, characterized by deliberative, high-precision problem-solving, necessitates maintaining rigorous logical integrity over extended horizons. However, prevalent memory preprocessing paradigms incur destructive de-contextuali…

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2025

Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning

Kaixiang Wang, Xiaojian Ding, Fan Yang

IJCAI 2025

Multi-view multi-label data often suffers from incomplete feature views and label noise. This paper is the first to address both challenges simultaneously, rectifying critical deficiencies in existing methodologies that inadequately extract and fuse high-order structural correlations across views wh

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