most citedFeature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors

7 citations · 11 across the 8 of their papers we have counts for

collaborators

9 papers

math.OC2024

Quantum Assisted Stochastic Economic Dispatch for Renewables Rich Power Systems

Xutao Han, Zhiyi Li, Yue Xu

Considering widely dispersed uncertain renewable energy sources (RESs), scenario-based stochastic optimization is an effective method for the economic dispatch of renewables-rich p…

cs.IR20231 cited

Multi-factor Sequential Re-ranking with Perception-Aware Diversification

Yue Xu, Hao Chen, Zefan Wang +8

Feed recommendation systems, which recommend a sequence of items for users to browse and interact with, have gained significant popularity in practical applications. In feed produc…

cs.IR2023

Multi-channel Integrated Recommendation with Exposure Constraints

Yue Xu, Qijie Shen, Jianwen Yin +6

Integrated recommendation, which aims at jointly recommending heterogeneous items from different channels in a main feed, has been widely applied to various online platforms. Thoug…

cs.CV20237 cited

Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors

Long Tang, Dengpan Ye, Zhenhao Lu +4

Adversarial example is a rising way of protecting facial privacy security from deepfake modification. To prevent massive facial images from being illegally modified by various deep…

cond-mat.mtrl-sci20231 cited

Miniature Magnetic Nano islands in a Morphotropic Cobaltite Matrix

Shengru Chen, Dongke Rong, Yue Xu +17

High-density magnetic memories are key components in spintronics, quantum computing, and energy-efficient electronics. Reduced dimensionality and magnetic domain stability at the n…

cs.IR20221 cited

Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction

Qiwei Chen, Yue Xu, Changhua Pei +3

Recent studies on Click-Through Rate (CTR) prediction has reached new levels by modeling longer user behavior sequences. Among others, the two-stage methods stand out as the state-…