Saved in:
| Main Authors: | Zhang, Tiancheng, Zhang, Cheng, Liu, Shuren, Wang, Xiaofei, Huang, Shaoyuan, Wang, Wenyu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.12839 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Seer: Proactive Revenue-Aware Scheduling for Live Streaming Services in Crowdsourced Cloud-Edge Platforms
by: Huang, Shaoyuan, et al.
Published: (2024)
by: Huang, Shaoyuan, et al.
Published: (2024)
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)
CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters
by: Huang, Shaoyuan, et al.
Published: (2026)
by: Huang, Shaoyuan, et al.
Published: (2026)
StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
by: Zhang, Jintao, et al.
Published: (2026)
by: Zhang, Jintao, et al.
Published: (2026)
Hybrid Quantum-Classical Spatiotemporal Forecasting for 3D Cloud Fields
by: Wang, Fu, et al.
Published: (2026)
by: Wang, Fu, et al.
Published: (2026)
Stratos: An End-to-End Distillation Pipeline for Customized LLMs under Distributed Cloud Environments
by: Dai, Ziming, et al.
Published: (2025)
by: Dai, Ziming, et al.
Published: (2025)
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
by: Zhang, Zhenwei, et al.
Published: (2023)
by: Zhang, Zhenwei, et al.
Published: (2023)
Rethink Deep Learning with Invariance in Data Representation
by: Qi, Shuren, et al.
Published: (2024)
by: Qi, Shuren, et al.
Published: (2024)
HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)
by: Wang, Tan, et al.
Published: (2025)
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
by: Stojkovic, Jovan, et al.
Published: (2025)
by: Stojkovic, Jovan, et al.
Published: (2025)
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence
by: Tan, Zheng, et al.
Published: (2025)
by: Tan, Zheng, et al.
Published: (2025)
PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting
by: Wang, Hua, et al.
Published: (2026)
by: Wang, Hua, et al.
Published: (2026)
Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)
by: Niu, PeiSong, et al.
Published: (2024)
Reasoning-Aware Training for Time Series Forecasting
by: Ahamed, Md Atik, et al.
Published: (2026)
by: Ahamed, Md Atik, et al.
Published: (2026)
DSAT-HD: Dual-Stream Adaptive Transformer with Hybrid Decomposition for Multivariate Time Series Forecasting
by: Wang, Zixu, et al.
Published: (2025)
by: Wang, Zixu, et al.
Published: (2025)
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization
by: Tao, Xiaoyu, et al.
Published: (2025)
by: Tao, Xiaoyu, et al.
Published: (2025)
A Novel Hyperdimensional Computing Framework for Online Time Series Forecasting on the Edge
by: Mejri, Mohamed, et al.
Published: (2024)
by: Mejri, Mohamed, et al.
Published: (2024)
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
by: Yao, Yueyang, et al.
Published: (2025)
by: Yao, Yueyang, et al.
Published: (2025)
MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting
by: Huang, Shaoyuan, et al.
Published: (2025)
by: Huang, Shaoyuan, et al.
Published: (2025)
A Hybrid Reinforcement Learning Framework for Hard Latency Constrained Resource Scheduling
by: Zhang, Luyuan, et al.
Published: (2025)
by: Zhang, Luyuan, et al.
Published: (2025)
IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
by: Wu, Beiliang, et al.
Published: (2025)
by: Wu, Beiliang, et al.
Published: (2025)
TeachAnything: A Multimodal Crowdsourcing Platform for Training Embodied AI Agents in Symmetrical Reality
by: Liu, Zidong, et al.
Published: (2026)
by: Liu, Zidong, et al.
Published: (2026)
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
by: Xia, Mingyuan, et al.
Published: (2025)
by: Xia, Mingyuan, et al.
Published: (2025)
ConsRoute:Consistency-Aware Adaptive Query Routing for Cloud-Edge-Device Large Language Models
by: Qiao, Haoyu, et al.
Published: (2026)
by: Qiao, Haoyu, et al.
Published: (2026)
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
by: Gao, Wentao, et al.
Published: (2024)
by: Gao, Wentao, et al.
Published: (2024)
AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting
by: Zhang, Xiaohan, et al.
Published: (2025)
by: Zhang, Xiaohan, et al.
Published: (2025)
Ellipsoidal Time Series Forecasting
by: Wang, Qilin
Published: (2025)
by: Wang, Qilin
Published: (2025)
Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching
by: Zhang, Jintao, et al.
Published: (2025)
by: Zhang, Jintao, et al.
Published: (2025)
Bridging the Last Mile of Time Series Forecasting with LLM Agents
by: Liao, Yuhua, et al.
Published: (2026)
by: Liao, Yuhua, et al.
Published: (2026)
OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting
by: Pan, Tingyue, et al.
Published: (2025)
by: Pan, Tingyue, et al.
Published: (2025)
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)
by: Zhang, Huiliang, et al.
Published: (2025)
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)
by: Wang, Yuxuan, et al.
Published: (2024)
The Forecast After the Forecast: A Post-Processing Shift in Time Series
by: Liang, Daojun, et al.
Published: (2026)
by: Liang, Daojun, et al.
Published: (2026)
Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)
by: Zhang, Fan, et al.
Published: (2026)
Unveiling the Potential of Text in High-Dimensional Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2025)
by: Zhou, Xin, et al.
Published: (2025)
Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
by: Cheng, Mingyue, et al.
Published: (2025)
by: Cheng, Mingyue, et al.
Published: (2025)
Multi-period Learning for Financial Time Series Forecasting
by: Zhang, Xu, et al.
Published: (2025)
by: Zhang, Xu, et al.
Published: (2025)
A Hybrid Proactive And Predictive Framework For Edge Cloud Resource Management
by: Kumar, Hrikshesh, et al.
Published: (2025)
by: Kumar, Hrikshesh, et al.
Published: (2025)
SparOA: Sparse and Operator-aware Hybrid Scheduling for Edge DNN Inference
by: Zhang, Ziyang, et al.
Published: (2025)
by: Zhang, Ziyang, et al.
Published: (2025)
HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting
by: Shao, Minlan, et al.
Published: (2025)
by: Shao, Minlan, et al.
Published: (2025)
Similar Items
-
Seer: Proactive Revenue-Aware Scheduling for Live Streaming Services in Crowdsourced Cloud-Edge Platforms
by: Huang, Shaoyuan, et al.
Published: (2024) -
Sentinel: Scheduling Live Streams with Proactive Anomaly Detection in Crowdsourced Cloud-Edge Platforms
by: Li, Yuting, et al.
Published: (2025) -
CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters
by: Huang, Shaoyuan, et al.
Published: (2026) -
StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
by: Zhang, Jintao, et al.
Published: (2026) -
Hybrid Quantum-Classical Spatiotemporal Forecasting for 3D Cloud Fields
by: Wang, Fu, et al.
Published: (2026)