:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Siyu, Shi, Lei, Xia, Lei, Wu, Cenyang, Liu, Zipeng, Feng, Yingchaojie, Zhou, Liang, Chen, Wei
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.27527
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ensemble Visualization With Variational Autoencoder
by: Wu, Cenyang, et al.
Published: (2025)

Spectral Algorithms on Manifolds through Diffusion
by: Xia, Weichun, et al.
Published: (2024)

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
by: Xu, Mingkun, et al.
Published: (2024)

TacticExpert: Spatial-Temporal Graph Language Model for Basketball Tactics
by: Lingrui, Xu, et al.
Published: (2025)

UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
by: Chen, Wei, et al.
Published: (2026)

Learning from Complexity: Exploring Dynamic Sample Pruning of Spatio-Temporal Training
by: Chen, Wei, et al.
Published: (2026)

Symmetry Nonnegative Matrix Factorization Algorithm Based on Self-paced Learning
by: Wang, Lei, et al.
Published: (2024)

How Can Large Language Models Understand Spatial-Temporal Data?
by: Liu, Lei, et al.
Published: (2024)

Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
by: Zhao, Shuyuan, et al.
Published: (2024)

Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis
by: Fan, Lin, et al.
Published: (2024)

Interpretability of Statistical, Machine Learning, and Deep Learning Models for Landslide Susceptibility Mapping in Three Gorges Reservoir Area
by: Chen, Cheng, et al.
Published: (2024)

Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
by: Wu, Liang, et al.
Published: (2025)

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
by: Lei, Zhenyu, et al.
Published: (2024)

Advancing Edge Classification through High-Dimensional Causal Modeling of Node-Edge Interplay
by: Feng, Duanyu, et al.
Published: (2026)

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction
by: Wu, Ziyang, et al.
Published: (2024)

Model predictive control-based value estimation for efficient reinforcement learning
by: Wu, Qizhen, et al.
Published: (2023)

When Spatial meets Temporal in Action Recognition
by: Chen, Huilin, et al.
Published: (2024)

Multi-View Empowered Structural Graph Wordification for Language Models
by: Liu, Zipeng, et al.
Published: (2024)

Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting
by: Chen, Wei, et al.
Published: (2025)

FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
by: Feng, Yutong, et al.
Published: (2025)

Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods
by: Chen, Chuanqi, et al.
Published: (2023)

Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
by: Guan, Zenghao, et al.
Published: (2025)

Distributed Learning with Discretely Observed Functional Data
by: Liu, Jiading, et al.
Published: (2024)

HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
by: Zhou, Yu, et al.
Published: (2024)

ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential Equations
by: Gong, Mingze, et al.
Published: (2024)

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
by: Li, Zhonghang, et al.
Published: (2024)

SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding
by: Chen, Zhen, et al.
Published: (2025)

Scalable Reinforcement Learning for Virtual Machine Scheduling
by: Sheng, Junjie, et al.
Published: (2025)

LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics
by: Xie, Tiankai, et al.
Published: (2024)

Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
by: Luo, Yuankai, et al.
Published: (2024)

Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics
by: Qu, Mingcheng, et al.
Published: (2024)

FastMMoE: Accelerating Multimodal Large Language Models through Dynamic Expert Activation and Routing-Aware Token Pruning
by: Xia, Guoyang, et al.
Published: (2025)

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
by: Wang, Zhe, et al.
Published: (2024)

Attribute-based Visual Reprogramming for Vision-Language Models
by: Cai, Chengyi, et al.
Published: (2025)

Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
by: Lin, Xuetao, et al.
Published: (2025)

Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment
by: Wu, Qizhen, et al.
Published: (2023)

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
by: Zhang, Jiahan, et al.
Published: (2024)

IPP-Net: A Generalizable Deep Neural Network Model for Indoor Pathloss Radio Map Prediction
by: Feng, Bin, et al.
Published: (2025)

Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
by: Cai, Chengyi, et al.
Published: (2025)

Enhanced Generative Machine Listener
by: Raj, Vishnu, et al.
Published: (2025)