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Qinliang Su

ICML 2026×2ACL 2026效率与系统理论与学习动力学推理可解释性
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0 一作 · 3 篇 · ICML 2026 / ACL 2026

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2026 顶会论文

3
作者位次 #2/3ICML 2026Spotlight· Applications / Time Series

Generative Modeling of Irregular Time Series via SDE-Induced Continuous-Discrete Variational Inference

Zexin Yuan · Qinliang Su · Junxi Xiao

效率与系统OpenReview
作者位次 #2/2ICML 2026Poster· Theory / Probabilistic Methods

Copula-SVI: Vine-Copula Variational Inference with Stein Refining for Instance-Level Correlation Capturing

Junxi Xiao · Qinliang Su

效率与系统理论与学习动力学OpenReview
作者位次 #2/5ACL 2026Findings· Findings of ACL

Targeting the Needle, Ignoring the Haystack: Anchoring Crucial Cues for Evolving Scam Call Detection via an LLM -Assisted Classifier

Tong Wu · Qinliang Su · Jianxing Yu · Bo Liang · Minhua Huang

摘要

Automatic detection of fraudulent voice calls is essential for online service platforms but faces significant challenges due to the scarcity of labeled data and the continuous evolution of conversational contexts. Standard supervised methods often fail to generalize, as they tend to overfit to va...

推理可解释性效率与系统OpenReview 项目页

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