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Home/Authors/Jing Ye

Jing Ye

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Architecture×2Robotics×1AI×1Crypto×1

Frequent co-authors

Zizhen Liu2×
Cheng Liu2×
Huawei Li2×
Tianle Zeng1×
Hanjing Ye1×
Jianwei Peng1×

Research Timeline

2026
On the Vulnerability of FHE Computation to Silent Data Corruption

This paper evaluates the vulnerability of Fully Homomorphic Encryption (FHE) computation to silent data corruption (SDC) using large-scale fault-injection experiments and theoretical analysis.

FT-Pilot: Automated Fault-Tolerant RTL Rewriting via Vulnerability-Guided LLMs

FT-Pilot is a novel GNN-guided LLM framework that automatically rewrites RTL code to harden digital circuits against soft errors, providing an efficient, automated path for reliability optimization.

TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues

The paper proposes a memory-augmented, traversability-aware framework for outdoor VLN that maintains stable, goal-consistent guidance even when semantic cues are interrupted or unavailable.

Highlighted terms show continued research focus across papers

Papers

cs.ROcs.AIRecentMay 29, 2026

TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues

Tianle Zeng, Hanjing Ye, Jianwei Peng, Jingwen Yu +2 more

The paper proposes a memory-augmented, traversability-aware framework for outdoor VLN that maintains stable, goal-consistent guidance even when semantic cues are interrupted or unavailable.

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cs.ARRecentMay 27, 2026

FT-Pilot: Automated Fault-Tolerant RTL Rewriting via Vulnerability-Guided LLMs

Weixing Liu, Zizhen Liu, Jing Ye, Naixing Wang +3 more

FT-Pilot is a novel GNN-guided LLM framework that automatically rewrites RTL code to harden digital circuits against soft errors, providing an efficient, automated path for reliability optimization.

View →
cs.CRcs.ARRecentMar 24, 2026

On the Vulnerability of FHE Computation to Silent Data Corruption

Jianan Mu, Ge Yu, Zhaoxuan Kan, Song Bian +5 more

This paper evaluates the vulnerability of Fully Homomorphic Encryption (FHE) computation to silent data corruption (SDC) using large-scale fault-injection experiments and theoretical analysis.

View →