:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yifeng, Baker, Bryan, Chen, Shi, Zhang, Chao, Huang, Yu, Zhao, Qi, Bom, Sthitie
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2501.03368
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Wafer Defect Root Cause Analysis with Partial Trajectory Regression
by: Miyaguchi, Kohei, et al.
Published: (2025)

Observational and Experimental Insights into Machine Learning-Based Defect Classification in Wafers
by: Taha, Kamal
Published: (2023)

Knowledge Fusion of Large Language Models Via Modular SkillPacks
by: Du, Guodong, et al.
Published: (2025)

sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting
by: Yin, Jiaheng, et al.
Published: (2024)

FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries
by: Jiang, Yuqi, et al.
Published: (2024)

Disentangled Graph Prompting for Out-Of-Distribution Detection
by: Yang, Cheng, et al.
Published: (2026)

Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects
by: Hu, Zhining, et al.
Published: (2024)

Compositional Learning for Modular Multi-Agent Self-Organizing Networks
by: Liao, Qi, et al.
Published: (2025)

Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement
by: Wang, Yifeng, et al.
Published: (2023)

FedModule: A Modular Federated Learning Framework
by: Chen, Chuyi, et al.
Published: (2024)

Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs
by: Li, Chenyang, et al.
Published: (2024)

Fine-grained Token Allocation Via Operation Pruning for Efficient MLLMs
by: Liu, Aoming, et al.
Published: (2025)

Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence
by: Qi, Jun, et al.
Published: (2026)

Architecture-Optimization Co-Design for Physics-Informed Neural Networks Via Attentive Representations and Conflict-Resolved Gradients
by: Niu, Pancheng, et al.
Published: (2026)

Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
by: Zhang, Boning, et al.
Published: (2024)

Scalable Trajectory-User Linking with Dual-Stream Representation Networks
by: Zhang, Hao, et al.
Published: (2025)

WaferLLM: Large Language Model Inference at Wafer Scale
by: He, Congjie, et al.
Published: (2025)

Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation
by: Li, Chengyu, et al.
Published: (2024)

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration
by: Yu, Yifeng, et al.
Published: (2025)

On the Limits of Latent Reuse in Diffusion Models
by: Yu, Yifeng, et al.
Published: (2026)

EVA-Net: Interpretable Anomaly Detection for Brain Health via Learning Continuous Aging Prototypes from One-Class EEG Cohorts
by: Zhang, Kunyu, et al.
Published: (2025)

Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition
by: Zhang, Xitong, et al.
Published: (2024)

Comparative Study of Neighbor-based Methods for Local Outlier Detection
by: Qi, Zhuang, et al.
Published: (2024)

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

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
by: Wang, Jiaxing, et al.
Published: (2025)

Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
by: Liu, Haolan, et al.
Published: (2023)

Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects
by: Jiang, Xiaoheng, et al.
Published: (2024)

SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
by: Zheng, Yu-Bang, et al.
Published: (2023)

Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
by: Yu, Yifeng, et al.
Published: (2026)

Randomized Midpoint Method for Log-Concave Sampling under Constraints
by: Yu, Yifeng, et al.
Published: (2024)

Detection Augmented Bandit Procedures for Piecewise Stationary MABs: A Modular Approach
by: Huang, Yu-Han, et al.
Published: (2025)

SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents
by: Ding, Yifeng, et al.
Published: (2026)

AutoAL: Automated Active Learning with Differentiable Query Strategy Search
by: Wang, Yifeng, et al.
Published: (2024)

Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation
by: Zhang, Jinyu, et al.
Published: (2024)

DTMamba : Dual Twin Mamba for Time Series Forecasting
by: Wu, Zexue, et al.
Published: (2024)

Network Anomaly Traffic Detection via Multi-view Feature Fusion
by: Hao, Song, et al.
Published: (2024)

Hierarchical Task Offloading and Trajectory Optimization in Low-Altitude Intelligent Networks Via Auction and Diffusion-based MARL
by: You, Jiahao, et al.
Published: (2025)

Adaptive State-Space Mamba for Real-Time Sensor Data Anomaly Detection
by: Zhang, Alice, et al.
Published: (2025)

Enhancing Printed Circuit Board Defect Detection through Ensemble Learning
by: Law, Ka Nam Canaan, et al.
Published: (2024)

CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
by: Zhang, Yifeng, et al.
Published: (2026)