Saved in:
| Main Authors: | Lian, Lian, Li, Yilin, Han, Song, Meng, Renzi, Wang, Sibo, Wang, Ming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.14503 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning
by: Meng, Renzi, et al.
Published: (2025)
by: Meng, Renzi, et al.
Published: (2025)
Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems
by: Li, Yilin, et al.
Published: (2025)
by: Li, Yilin, et al.
Published: (2025)
Contrastive Learning-Based Dependency Modeling for Anomaly Detection in Cloud Services
by: Xing, Yue, et al.
Published: (2025)
by: Xing, Yue, et al.
Published: (2025)
Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
by: Dai, Lu, et al.
Published: (2025)
by: Dai, Lu, et al.
Published: (2025)
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
by: Liu, Yilin, et al.
Published: (2026)
by: Liu, Yilin, et al.
Published: (2026)
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2023)
by: Dong, Xiangyu, et al.
Published: (2023)
FracAug: Fractional Augmentation boost Graph-level Anomaly Detection under Limited Supervision
by: Dong, Xiangyu, et al.
Published: (2025)
by: Dong, Xiangyu, et al.
Published: (2025)
Research and Design of a Financial Intelligent Risk Control Platform Based on Big Data Analysis and Deep Machine Learning
by: Bi, Shuochen, et al.
Published: (2024)
by: Bi, Shuochen, et al.
Published: (2024)
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2024)
by: Dong, Xiangyu, et al.
Published: (2024)
Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse Observations
by: Zhuang, Yilin, et al.
Published: (2024)
by: Zhuang, Yilin, et al.
Published: (2024)
SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
by: Dong, Xiangyu, et al.
Published: (2025)
by: Dong, Xiangyu, et al.
Published: (2025)
Federated Anomaly Detection for Multi-Tenant Cloud Platforms with Personalized Modeling
by: Wang, Yuxi, et al.
Published: (2025)
by: Wang, Yuxi, et al.
Published: (2025)
Multiscale Astrocyte Network Calcium Dynamics for Biologically Plausible Intelligence in Anomaly Detection
by: Iskar, Berk, et al.
Published: (2025)
by: Iskar, Berk, et al.
Published: (2025)
Accelerated Cloud for Artificial Intelligence (ACAI)
by: Chen, Dachi, et al.
Published: (2024)
by: Chen, Dachi, et al.
Published: (2024)
The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment
by: Kim, HyunJin, et al.
Published: (2024)
by: Kim, HyunJin, et al.
Published: (2024)
Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces
by: Cheng, Zilan, et al.
Published: (2026)
by: Cheng, Zilan, et al.
Published: (2026)
ATM-GAD: Adaptive Temporal Motif Graph Anomaly Detection for Financial Transaction Networks
by: Zhang, Zeyue, et al.
Published: (2025)
by: Zhang, Zeyue, et al.
Published: (2025)
Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM
by: Jin, Yihong, et al.
Published: (2025)
by: Jin, Yihong, et al.
Published: (2025)
Financial Text Classification Based On rLoRA Finetuning On Qwen3-8B model
by: Lian, Zhiming
Published: (2025)
by: Lian, Zhiming
Published: (2025)
EventADL: Open-Box Anomaly Detection and Localization Framework for Events in Cloud-Based Service Systems
by: Pham, Luan, et al.
Published: (2026)
by: Pham, Luan, et al.
Published: (2026)
Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
Instruction Finetuning LLaMA-3-8B Model Using LoRA for Financial Named Entity Recognition
by: Lian, Zhiming
Published: (2026)
by: Lian, Zhiming
Published: (2026)
Kernel-Based Enhanced Oversampling Method for Imbalanced Classification
by: Li, Wenjie, et al.
Published: (2025)
by: Li, Wenjie, et al.
Published: (2025)
Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks
by: Yang, Tao, et al.
Published: (2022)
by: Yang, Tao, et al.
Published: (2022)
Sentinel: Scheduling Live Streams with Proactive Anomaly Detection in Crowdsourced Cloud-Edge Platforms
by: Li, Yuting, et al.
Published: (2025)
by: Li, Yuting, et al.
Published: (2025)
AXIS: Explainable Time Series Anomaly Detection with Large Language Models
by: Lan, Tian, et al.
Published: (2025)
by: Lan, Tian, et al.
Published: (2025)
LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience
by: Jha, Nimesh, et al.
Published: (2025)
by: Jha, Nimesh, et al.
Published: (2025)
Generalist Graph Anomaly Detection via Prototype-Based Distillation
by: Xu, Yiming, et al.
Published: (2026)
by: Xu, Yiming, et al.
Published: (2026)
Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
by: Zhang, Qingyuan, et al.
Published: (2025)
by: Zhang, Qingyuan, et al.
Published: (2025)
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
by: Wang, Weichuan, et al.
Published: (2024)
by: Wang, Weichuan, et al.
Published: (2024)
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
by: Yin, Tao, et al.
Published: (2025)
by: Yin, Tao, et al.
Published: (2025)
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)
by: Li, Xiping, et al.
Published: (2025)
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features
by: Gu, Wenwei, et al.
Published: (2023)
by: Gu, Wenwei, et al.
Published: (2023)
Anomaly Detection Based on Isolation Mechanisms: A Survey
by: Cao, Yang, et al.
Published: (2024)
by: Cao, Yang, et al.
Published: (2024)
Comparative Analysis and Parametric Tuning of PPO, GRPO, and DAPO for LLM Reasoning Enhancement
by: Lian, Yongsheng
Published: (2025)
by: Lian, Yongsheng
Published: (2025)
Reinforcement Learning is all You Need
by: Lian, Yongsheng
Published: (2025)
by: Lian, Yongsheng
Published: (2025)
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
by: Li, Mengxuan, et al.
Published: (2024)
by: Li, Mengxuan, et al.
Published: (2024)
Anomaly Detection Based on Critical Paths for Deep Neural Networks
by: Zhao, Fangzhen, et al.
Published: (2025)
by: Zhao, Fangzhen, et al.
Published: (2025)
A Survey on Diffusion Models for Anomaly Detection
by: Liu, Jing, et al.
Published: (2025)
by: Liu, Jing, et al.
Published: (2025)
PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
Similar Items
-
Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning
by: Meng, Renzi, et al.
Published: (2025) -
Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems
by: Li, Yilin, et al.
Published: (2025) -
Contrastive Learning-Based Dependency Modeling for Anomaly Detection in Cloud Services
by: Xing, Yue, et al.
Published: (2025) -
Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks
by: Dai, Lu, et al.
Published: (2025) -
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
by: Liu, Yilin, et al.
Published: (2026)