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Yalan Qin

ICLR 2026×2AAAI 2026ACL 2026可解释性效率与系统推理多模态评测与基准
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一作贡献100
核心/参与5
方向广度16
合作网络6
3 一作 · 4 篇 · ICLR 2026 / AAAI 2026 / ACL 2026

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2026 顶会论文

4
一作ICLR 2026Poster· General Machine Learning / Representation Learning

Explainable $ K $-means Neural Networks for Multi-view Clustering

Yalan Qin · Xinpeng Zhang · Guorui Feng

可解释性OpenReview
一作ICLR 2026Poster· General Machine Learning / Representation Learning

Unified and Efficient Multi-view Clustering from Probabilistic Perspective

Yalan Qin · Guorui Feng

可解释性效率与系统OpenReview
作者位次 #8/11ACL 2026Findings· Findings of ACL

RSA -Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios

Yibo Zhang · Kaiwen Luo · Liang Lin · Shilinlu Yan · Jin Wang · Yaoqi Guo · Yitian Chen · Yalan Qin · Zhenhong Zhou · Kun Wang · Li Sun

摘要

While Audio Large Models (ALLMs) have achieved remarkable proficiency, their robustness remains brittle in real-world deployment. Existing evaluations largely rely on synthetic Gaussian noise or simplistic single-source interference, failing to capture the intricate, multi-layered acoustic dynami...

推理多模态评测与基准OpenReview 项目页

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