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Home/Authors/Jiale Li

Jiale Li

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2Vision×2NLP×1ML×1Crypto×1

Frequent co-authors

Xinchen Zhang1×
Bowei Liu1×
Jiale Liu1×
Chufan Shi1×
Yizhen Zhang1×
Junhong Liu1×

Research Timeline

2026
CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models

The paper proposes CAAP, a capture-aware adversarial patch framework, demonstrating that deep palmprint recognition systems remain vulnerable to physically realizable attacks despite existing defenses.

OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration

The paper introduces OmniVerifier-M1, a multimodal meta-verifier that uses symbolic outputs and decoupled reinforcement learning to provide robust, fine-grained verification and error localization for large multimodal models.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.AIcs.CVRecentMay 27, 2026

OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration

Xinchen Zhang, Bowei Liu, Jiale Liu, Chufan Shi +6 more

The paper introduces OmniVerifier-M1, a multimodal meta-verifier that uses symbolic outputs and decoupled reinforcement learning to provide robust, fine-grained verification and error localization for…

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cs.CVcs.AIcs.CRRecentApr 8, 2026

CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models

Renyang Liu, Jiale Li, Jie Zhang, Cong Wu +5 more

The paper proposes CAAP, a capture-aware adversarial patch framework, demonstrating that deep palmprint recognition systems remain vulnerable to physically realizable attacks despite existing defenses…

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