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期刊论文

2026

Mag-Mamba: Modeling Coupled Spatio-temporal Asymmetry for POI Recommendation

Zhuoxuan Li, Tangwei Ye, Jieyuan Pei, Haina Liang, Zhongyuan Lai, Zihan Liu, Yiming Wu, Qi Zhang, Liang Hu

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

2026

Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Zi-Le Wang, Ze-Xiang Liu, Jia-Xing Li, Kaichen Huang, Baixin Xu, Fei Kang, Mengyin An, Pei-Yu Wang, Biao Jiang, Yi-Chen Wei, Yidan Xietian, Jiangbo Pei, Liang Hu, Bo-Yi Jiang, Hua Xue, Zi-Dong Wang, Hao Sun, Wei Li, Wan-Li Ouyang, Xianglong He, Yang Liu, Yangguang Li, Yahui Zhou

arXiv.org

精选作品

期刊论文

Mag-Mamba: Modeling Coupled Spatio-temporal Asymmetry for POI Recommendation

Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Disease Spectrum-aware and Time-evolving Dependency Learning for Medication Recommendation

HeteroFL-LoRA: Federated LoRA Fine-Tuning Across Heterogeneous LFMs via Singular Value Collaboration

AMID: Model-Agnostic Dataset Distillation by Adversarial Mutual Information Minimization

Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data

A Durable Machine Unlearning Framework to Nullify Recall of Sensitive Data on Incremental Training

Counterfactual Augmented Causal Reasoning for Aspect-Based Sentiment Analysis

Learning to Compare Time Series: Collective Contextual Anomalies Prediction

LMSFF: Lightweight multi-scale feature fusion network for image recognition under resource-constrained environments

Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation

Skywork UniPic 2.0: Building Kontext Model with Online RL for Unified Multimodal Model

Robust Multivariate Time Series Forecasting Against Intraseries and Interseries Transitional Shift

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation

Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch

Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes

DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection

Multi-label feature selection with high-sparse personalized and low-redundancy shared common features

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis

Deep Coupling Network for Multivariate Time Series Forecasting

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare

Multigranularity Data Analysis With Zentropy Uncertainty Measure for Efficient and Robust Feature Selection

MASK-Net: Robust Health Mention Classification by Masking a Disease or Symptom Terms

Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System

基于稀疏系数矩阵重构的多标记特征选择

Graph Learning based Recommender Systems: A Review

基于Delta Lake架构的个性化自助游行程推荐系统

基于动态图拉普拉斯的多标签特征选择

Graph Learning Approaches to Recommender Systems: A Review

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction

Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data

The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation

Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks

Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis

Attention-Based Transactional Context Embedding for Next-Item Recommendation

Metric-Based Auto-Instructor for Learning Mixed Data Representation

Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents

Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context

Improving the Quality of Recommendations for Users and Items in the Tail of Distribution

Diversifying Personalized Recommendation with User-session Context

Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation

Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains

集成多元信息的推荐系统建模方法的研究

Deep Modeling Complex Couplings within Financial Markets

Document similarity analysis via involving both explicit and implicit semantic couplings

基于领域本体知识库的专业搜索引擎查询推荐算法研究--以盐湖化工领域为例

Deep Modeling of Group Preferences for Group-Based Recommendation

Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages

Personalized recommendation via cross-domain triadic factorization

A Social-Aware Service Recommendation Approach for Mashup Creation

A Service Intermediary Agent Framework for Web Service Integration

Service Discovery and Recommendation in Rough Hierarchical Granular Space

Latent Informative Links Detection

Book Recommendation Based on Joint Multi-relational Model

Service Discovery and Recommendation in Rough Hierarchical Granular Computing

Automatic generating system for semantic Web service

预印本

FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains

Xpertbench: Expert Level Tasks with Rubrics-Based Evaluation

Eval4DiRec: A Unified and Systematic Evaluation Framework for Diffusion-based Recommender Systems

MemCode: Discrete Semantic Representations for Long-Term Agent Memory

COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning

FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning

DiscoX: Benchmarking Discourse-Level Translation task in Expert Domains

LPFQA: A Long-Tail Professional Forum-based Benchmark for LLM Evaluation

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction

CUFG: Curriculum Unlearning Guided by the Forgetting Gradient

GTR-Mamba: Geometry-to-Tangent Routing Mamba for Hyperbolic POI Recommendation

PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph

CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning