Qi Zhang
6 papers · Latest:
Profiling for Pennies: Unveiling the Privacy Iceberg of LLM Agents
LLM agents can create detailed personal profiles cheaply and quickly, exposing significant privacy risks due to platform failures and lack of awareness.
Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware
This paper introduces a quantum feature selection method using higher-order binary optimization on trapped-ion hardware, showing competitive performance.
Kwai Summary Attention Technical Report
Kwai Summary Attention (KSA) reduces LLM long-context modeling costs by compressing historical contexts into learnable summary tokens.
Towards Understanding Android APIs: Official Lists, Vendor Customizations, and Real-World Usage
This paper empirically studies official Android API lists, revealing inconsistencies and the impact of vendor customizations on research validity and reproducibility.
DUET: Joint Exploration of User Item Profiles in Recommendation System
Duet is a novel LLM-based recommendation system that jointly generates user and item textual profiles, outperforming baselines by aligning them for better recommendations.
Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet
MDA uses Continuous-Orthogonal Mode Decomposition to predict haptic signals for the Tactile Internet, achieving high accuracy and ultra-low latency.
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