:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zou, Zengyu, Wang, Jingyuan, Huang, Yixuan, Wu, Junjie
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2511.17435
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cluster-Aware Attention-Based Deep Reinforcement Learning for Pickup and Delivery Problems
by: Wang, Wentao, et al.
Published: (2026)

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation
by: Vilalta-Mor, Júlia, et al.
Published: (2025)

Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse
by: Zhao, Zeyuan, et al.
Published: (2025)

Seq vs Seq: An Open Suite of Paired Encoders and Decoders
by: Weller, Orion, et al.
Published: (2025)

ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
by: Liu, Chenyu, et al.
Published: (2025)

Public Transit Arrival Prediction: a Seq2Seq RNN Approach
by: Bhutani, Nancy, et al.
Published: (2022)

SeqPE: Transformer with Sequential Position Encoding
by: Li, Huayang, et al.
Published: (2025)

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
by: Yi, Lu, et al.
Published: (2025)

SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
by: Xu, Zhongling, et al.
Published: (2026)

Learning Universal Multi-level Market Irrationality Factors to Improve Stock Return Forecasting
by: Yang, Chen, et al.
Published: (2025)

Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
by: Arefin, Md Rifat, et al.
Published: (2024)

Enhancing Stress-Strain Predictions with Seq2Seq and Cross-Attention based on Small Punch Test
by: Yang, Zhengni, et al.
Published: (2025)

A Hybrid PCA-PR-Seq2Seq-Adam-LSTM Framework for Time-Series Power Outage Prediction
by: Das, Subhabrata, et al.
Published: (2025)

Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
by: Yi, Jinhui, et al.
Published: (2025)

OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
by: Bhope, Rahul Atul, et al.
Published: (2025)

PAPN: Proximity Attention Encoder and Pointer Network Decoder for Parcel Pickup Route Prediction
by: Denis, Hansi, et al.
Published: (2025)

SeqMIA: Sequential-Metric Based Membership Inference Attack
by: Li, Hao, et al.
Published: (2024)

DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations
by: Khan, Sadaf, et al.
Published: (2024)

SeqRisk: Transformer-augmented latent variable model for robust survival prediction with longitudinal data
by: Öğretir, Mine, et al.
Published: (2024)

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning
by: Zhang, Heming, et al.
Published: (2024)

Reinforcement Learning for Multi-Truck Vehicle Routing Problems
by: Levin, Joshua, et al.
Published: (2022)

TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering
by: Habib, Al Zadid Sultan Bin, et al.
Published: (2024)

Set2Seq Transformer: Temporal and Position-Aware Set Representations for Sequential Multiple-Instance Learning
by: Efthymiou, Athanasios, et al.
Published: (2024)

SeqNAS: Neural Architecture Search for Event Sequence Classification
by: Udovichenko, Igor, et al.
Published: (2024)

SeqShield: A Behavioral Analysis Approach to Uncover Rootkits
by: Ghodeshwar, Paras, et al.
Published: (2026)

Seq2Seq2Seq: Lossless Data Compression via Discrete Latent Transformers and Reinforcement Learning
by: Khodabandeh, Mahdi, et al.
Published: (2026)

Multi-Agent Environments for Vehicle Routing Problems
by: Gama, Ricardo, et al.
Published: (2024)

UAV-MARL: Multi-Agent Reinforcement Learning for Time-Critical and Dynamic Medical Supply Delivery
by: Guven, Islam, et al.
Published: (2026)

Differentiated Pickup Point Offering for Emission Reduction in Last-Mile Delivery
by: Galiullina, Albina, et al.
Published: (2026)

PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes
by: Tran, Phat, et al.
Published: (2026)

SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation
by: Xu, Ting, et al.
Published: (2025)

Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes
by: Levin, Joshua, et al.
Published: (2024)

SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting
by: Huang, Ting-Ji, et al.
Published: (2025)

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling
by: Zhou, Zikang, et al.
Published: (2024)

Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning
by: Jiang, Jiawei, et al.
Published: (2024)

BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning
by: Miao, Mingkai, et al.
Published: (2025)

Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
by: Liao, Wei-Chen, et al.
Published: (2025)

Agentic-KGR: Co-evolutionary Knowledge Graph Construction through Multi-Agent Reinforcement Learning
by: Li, Jing, et al.
Published: (2025)

Addressing Rotational Learning Dynamics in Multi-Agent Reinforcement Learning
by: Sidahmed, Baraah A. M., et al.
Published: (2024)

IntSeqBERT: Learning Arithmetic Structure in OEIS via Modulo-Spectrum Embeddings
by: Nakasho, Kazuhisa
Published: (2026)