:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Yi, Liping, Zhao, Zhiming, Hu, Qinghua
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.25614
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment
by: Zhu, Kewen, et al.
Published: (2026)

Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
by: Wang, Xiaofei, et al.
Published: (2024)

On Limitation of Transformer for Learning HMMs
by: Hu, Jiachen, et al.
Published: (2024)

Near-Optimal Algorithms for Differentially Private Online Learning in a Stochastic Environment
by: Hu, Bingshan, et al.
Published: (2021)

Worst-Case Regret Bounds for Combinatorial Thompson Sampling in Sleeping Semi-Bandits
by: Huang, Zhiming, et al.
Published: (2026)

Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
by: Chen, Huitong, et al.
Published: (2025)

Towards Realistic Class-Incremental Learning with Free-Flow Increments
by: Xu, Zhiming, et al.
Published: (2026)

Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
by: Xu, Zhiming, et al.
Published: (2024)

Artificial Hippocampus Networks for Efficient Long-Context Modeling
by: Fang, Yunhao, et al.
Published: (2025)

Pushing the Limits of Distillation-Based Continual Learning via Classifier-Proximal Lightweight Plugins
by: Xu, Zhiming, et al.
Published: (2025)

Multimodal Negative Learning
by: Gong, Baoquan, et al.
Published: (2025)

Helix: A Dual-Helix Co-Evolutionary Multi-Agent System for Prompt Optimization and Question Reformulation
by: Zhu, Kewen, et al.
Published: (2026)

Aircraft Landing Time Prediction with Deep Learning on Trajectory Images
by: Huang, Liping, et al.
Published: (2024)

Integrating Functionalities To A System Via Autoencoder Hippocampus Network
by: Luo, Siwei
Published: (2024)

xLSTM-PINN: Memory-Gated Spectral Remodeling for Physics-Informed Learning
by: Tao, Ze, et al.
Published: (2025)

Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting
by: Jiang, Qian, et al.
Published: (2026)

Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud
by: Cui, Rongkun, et al.
Published: (2026)

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
by: Fan, Yan, et al.
Published: (2023)

Emergence of Spatial Representation in an Actor-Critic Agent with Hippocampus-Inspired Sequence Generator
by: Lin, Xiao-Xiong, et al.
Published: (2025)

Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
by: Sun, Yanru, et al.
Published: (2024)

Instruction Finetuning LLaMA-3-8B Model Using LoRA for Financial Named Entity Recognition
by: Lian, Zhiming
Published: (2026)

Financial Text Classification Based On rLoRA Finetuning On Qwen3-8B model
by: Lian, Zhiming
Published: (2025)

From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search
by: Deng, Liping, et al.
Published: (2026)

Predictive Dynamic Fusion
by: Cao, Bing, et al.
Published: (2024)

Parameter Importance-Driven Continual Learning for Foundation Models
by: Wang, Lingxiang, et al.
Published: (2025)

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
by: Liu, Jinyi, et al.
Published: (2023)

Dual-Axis RCCL: Representation-Complete Convergent Learning for Organic Chemical Space
by: Hu, Dejun, et al.
Published: (2025)

MRI Patterns of the Hippocampus and Amygdala for Predicting Stages of Alzheimer's Progression: A Minimal Feature Machine Learning Framework
by: Patra, Aswini Kumar, et al.
Published: (2025)

EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
by: Xue, Zhiming, et al.
Published: (2026)

A Survey : Neural Networks for AMR-to-Text
by: Hao, Hongyu, et al.
Published: (2022)

Selective Learning: Towards Robust Calibration with Dynamic Regularization
by: Han, Zongbo, et al.
Published: (2024)

pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning
by: Yi, Liping, et al.
Published: (2024)

Improving Memory Efficiency for Training KANs via Meta Learning
by: Zhao, Zhangchi, et al.
Published: (2025)

Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis
by: Jia, Tianyu, et al.
Published: (2025)

PPGF: Probability Pattern-Guided Time Series Forecasting
by: Sun, Yanru, et al.
Published: (2025)

Hierarchical Classification Auxiliary Network for Time Series Forecasting
by: Sun, Yanru, et al.
Published: (2024)

Patch-wise Structural Loss for Time Series Forecasting
by: Kudrat, Dilfira, et al.
Published: (2025)

Non-Intrusive Graph-Based Bot Detection for E-Commerce Using Inductive Graph Neural Networks
by: Zhao, Sichen, et al.
Published: (2026)

Efficient and Adaptive Posterior Sampling Algorithms for Bandits
by: Hu, Bingshan, et al.
Published: (2024)

Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
by: Hu, Bingshan, et al.
Published: (2025)