activity
20232026
most citedWaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting

Yingbo Zhou, Yutong Ye, Shuhao Li +5

Real-world time series forecasting faces the fundamental challenge of non-stationary statistical properties, including shifts in mean and variance over time. While reversible insta…

cs.AI2026

HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning

Beibei Xu, Yutong Ye, Chuyun Shen +3

Although agentic workflows have demonstrated strong potential for solving complex tasks, existing automated generation methods remain inefficient and underperform, as they rely on…

cs.LG2025

FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control

Yutong Ye, Yingbo Zhou, Zhusen Liu +4

Although Reinforcement Learning (RL)-based Traffic Signal Control (TSC) methods have been extensively studied, their practical applications still raise some serious issues such as…

cs.SI2024

GCLS: Towards Efficient Community Detection Using Graph Contrastive Learning with Structure Semantics

Qi Wen, Yiyang Zhang, Yutong Ye +4

Due to the power of learning representations from unlabeled graphs, graph contrastive learning (GCL) has shown excellent performance in community detection tasks. Existing GCL-base…

cs.LG2024

When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices

Pengyu Zhang, Yingjie Liu, Yingbo Zhou +4

Although Federated Learning (FL) enables collaborative learning in Artificial Intelligence of Things (AIoT) design, it fails to work on low-memory AIoT devices due to its heavy mem…

cs.LG2024

Personalized Federated Instruction Tuning via Neural Architecture Search

Pengyu Zhang, Yingbo Zhou, Ming Hu +3

Federated Instruction Tuning (FIT) has shown the ability to achieve collaborative model instruction tuning among massive data owners without sharing private data. However, it still…

cs.CV2023★ 2 cited

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks

Jun Xia, Zhihao Yue, Yingbo Zhou +3

Due to the popularity of Artificial Intelligence (AI) technology, numerous backdoor attacks are designed by adversaries to mislead deep neural network predictions by manipulating t…