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Chuxin Wang

ACL 2026×3多模态检索与知识智能体与工具推理安全
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方向广度10
合作网络9
0 一作 · 3 篇 · ACL 2026

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2026 顶会论文

3
作者位次 #3/7ACL 2026Findings· Findings of ACL

Bridging the Pose-Semantic Gap: A Cascade Framework for Text-Based Person Anomaly Search

Zequn Xie · Guijin Luo · Chuxin Wang · Sihang Cai · Tao Jin · Zhou Zhao · Yixuan Tang

摘要

Text-based person anomaly search retrieves specific behavioral events from surveillance archives using natural-language queries. Although recent pose-aware methods align geometric structures well, they face a fundamental Pose-Semantic Gap: semantically different actions can share similar skeletal...

智能体与工具多模态检索与知识OpenReview 项目页
作者位次 #4/6ACL 2026Findings· Findings of ACL

Iterative Self-Correction for Text-Driven Person Re-Identification with Large Vision-Language Models

Guijin Luo · Zequn Xie · Sihang Cai · Chuxin Wang · Zhou Zhao · Yixuan Tang

摘要

Person Re-Identification (ReID) has long struggled with the semantic gap between low-level visual features and high-level identity concepts. While Vision-Language Models (VLMs) offer promising semantic understanding, existing methods typically adopt a static “one-pass” paradigm, converting images...

多模态检索与知识推理OpenReview 项目页
作者位次 #6/9ACL 2026Findings· Findings of ACL

Generative-to-Discriminative Test-Time Adaptation via Manifold-Aware Diffusion and B ayesian Distillation

Boyun Zhang · Zequn Xie · Fangming Feng · Zihan Zhang · Yongbo He · Chuxin Wang · Sihang Cai · Tao Jin · Qifei Zhang

摘要

Multimodal Sentiment Analysis (MSA) models typically suffer significant performance degradation under domain shifts. While Test-Time Adaptation (TTA) aims to mitigate this, existing discriminative approaches often succumb to “confident but wrong” predictions on out-of-distribution samples. Conver...

安全多模态强化学习与后训练OpenReview 项目页

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