王森章

2026

基于图神经网络的多行为推荐综述

《计算机学报》

2026

大规模动态图的k-最密集子图启发式近似发现算法研究（英文）

Journal of Southeast University(English Edition)

2026

Uncertainty-Aware Motion Planning for Autonomous Driving in Mixed Traffic Environment

arXiv.org

DOI

2026

Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation

The Web Conference

DOI

2026

DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation

AAAI Conference on Artificial Intelligence

DOI

2026

On the Practice of Scaling Search Conversion Rate Prediction

arXiv.org

DOI

2026

IMoKGNN: Dual-Stream Fusion of Generic and Task-Specific Language Model Features for Graph Neural Networks

ACM Transactions on Intelligent Systems and Technology

DOI

2026

DeKNN: Decompositional Kriging Neural Network for efficient and interpretable spatiotemporal interpolation

GIScience & Remote Sensing

DOI

2026

SetLLM: Set Large Language Model for Cold-Start Item Recommendation

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

DOI

2026

A survey of stance detection on social media: New directions and perspectives in the era of large language models

Expert Systems with Applications

DOI

2026

Bridging Cross-Domain Time Series: Efficient Federated Anomaly Detection With Sharded LLMs

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

M4Rec: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Multi-Modal Hypergraphs Fusion With Consistency and Complementarity for Multi-Modal Emotion Recognition in Conversations

IEEE Transactions on Multimedia

DOI

2026

DCMNRec: An Intent-Aware Dual-Channel Mamba Framework for Multibehavior Recommendation

IEEE Transactions on Computational Social Systems

DOI

2026

From Diversity to Uniformity: Cross-modal Time Series Modeling with Dependent Channel Grouping

International Joint Conference on Artificial Intelligence

DOI

2026

From Compression to Construction: Pseudo Neighbor Augmentation Sampling for Dynamic Link Prediction

International Joint Conference on Artificial Intelligence

DOI

2026

One-Turn Knockout: Traceable and Editable Proxy Unlearning Under Asymmetric Access Constraints

International Joint Conference on Artificial Intelligence

DOI

2026

Data–Knowledge Collaborative Learning Framework for Cellular Traffic Forecasting via Enhanced Correlation Modeling

ISPRS International Journal of Geo-Information

DOI

2025

Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control

Neural Information Processing Systems

DOI

2025

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation

International Joint Conference on Artificial Intelligence

DOI

2025

Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2025

Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation

ACM Multimedia

DOI

2025

STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation

International Conference on Information and Knowledge Management

DOI

2025

FairTP: A Prolonged Fairness Framework for Traffic Prediction

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Mixture of Semantic and Spatial Experts for Explainable Traffic Prediction

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

Temporal Blocks with Memory Replay for Dynamic Graph Representation Learning

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning

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

DOI

2025

Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism

DOI

2025

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning

ACM Transactions on Knowledge Discovery from Data

DOI

2025

A Parameter-Efficient Federated Framework for Streaming Time Series Anomaly Detection via Lightweight Adaptation

IEEE Transactions on Mobile Computing

DOI

2025

Physically Robust and Imperceptible Adversarial Examples Generation Based on Frequency

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2025

Large Language Model Simulator for Cold-Start Recommendation

DOI

2025

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation

DOI

2025

MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models

DOI

2025

TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction

International Conference on Database Systems for Advanced Applications

DOI

2024

Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems

IEEE Transactions on Big Data

DOI

2024

FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2024

AdaTM: Fine-grained Urban Flow Inference with Adaptive Knowledge Transfer across Multiple Cities

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2024

PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection

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

DOI

2024

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks

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

DOI

2024

An Efficient Multi-View Heterogeneous Hypergraph Convolutional Network for Heterogeneous Information Network Representation Learning

IEEE Transactions on Big Data

DOI

2024

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems

ACM Web Conference (WWW)

DOI

2024

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs

ACM Web Conference (WWW)

DOI

2024

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization

ACM International Conference on Web Search and Data Mining (WSDM)

DOI

2023

Forest based on Interval Transformation (FIT): A time series classifier with adaptive features

Expert Systems With Applications，Vol. 213

DOI

2023

基于扩散模型的不完整数据下细粒度城市流量推断

《智能科学与技术学报》

2023

Spatial data intelligence and city metaverse: A review

Fundamental Research

DOI

2023

Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering

Knowledge-Based Systems

DOI

2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2023

DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2023

Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning

GeoInformatica

DOI

2023

PASS: Personalized Advertiser-aware Sponsored Search

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

DOI

2023

Continual Learning on Dynamic Graphs via Parameter Isolation

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2023

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2023

Multi-Grained Topological Pre-Training of Language Models in Sponsored Search

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2023

Adaptive self-propagation graph convolutional network for recommendation

World Wide Web

DOI

2023

WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

A Robust and Generalized Framework for Adversarial Graph Embedding

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Adaptive curvature exploration geometric graph neural network

Knowledge and Information Systems

DOI

2023

Hierarchical Graph Contrastive Learning

Lecture notes in computer science

DOI

2023

Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking

Lecture notes in computer science

DOI

2023

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning

Society for Industrial and Applied Mathematics eBooks

DOI

2023

Multi-view Contrastive Enhanced Heterogeneous Graph Structure Learning

International Journal of Software and Informatics

DOI

2022

Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction

International Journal of Machine Learning and Cybernetics

DOI

2022

Generative-Free Urban Flow Imputation

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2022

ITSM-GCN

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2022

Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks

International Joint Conference on Artificial Intelligence

DOI

2022

Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining

ACM International Conference on Web Search and Data Mining (WSDM)

DOI

2022

Dy-HIEN

ACM International Conference on Web Search and Data Mining (WSDM)

DOI

2022

Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction

ACM Transactions on Intelligent Systems and Technology

DOI

2022

MBA-STNet: Bayes-enhanced Discriminative Multi-task Learning for Flow Prediction

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Fine-grained Urban Flow Inference with Incomplete Data

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Time series classification based on multi-feature dictionary representation and ensemble learning

Expert Systems With Applications，Vol. 169

DOI

2021

面向电子商务平台用户意图预测的时间感知分层自注意力网络

《信息安全学报》

DOI

2021

SR-HetGNN: session-based recommendation with heterogeneous graph neural network

Knowledge and Information Systems

DOI

2021

ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1

ACM Transactions on Intelligent Systems and Technology

DOI

2021

Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network

Proceedings

DOI

2021

Hubness-aware User Identity Linkage

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2021

Multi-Channel Pooling Graph Neural Networks

DOI

2021

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning

Information Sciences

DOI

2021

IFP-ADAC: A Two-stage Interpretable Fault Prediction Model for Multivariate Time Series

Proceedings/IEEE International Conference on Mobile Data Management

DOI

2021

Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks

IEEE Transactions on Intelligent Transportation Systems

DOI

2021

Time-capturing Dynamic Graph Embedding for Temporal Linkage Evolution

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation

Lecture notes in computer science

DOI

2021

AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern

Lecture notes in computer science

DOI

2018

Improving failures prediction by exploring weighted shape-based time-series clustering

Quality And Reliability Engineering International，Vol. 340, No. 20

DOI

2016

A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction

Quality And Reliability Engineering International，Vol. 320, No. 80

DOI

2026

NICE: Scale-Stable Perturbations for Graph Neural Network Explanations via Noise Corruption

arXiv (Cornell University)

DOI

2026

Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation

arXiv (Cornell University)

DOI

2026

Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases

arXiv (Cornell University)

DOI

2026

From Token Generation to Item Ranking: Direct Generative Recommendation with Semantic IDs

arXiv (Cornell University)

DOI

2026

Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders

arXiv preprint

2026

Eliminating Propagation Delay: Attention-Based Spatial-Temporal Fusion Graph Convolution Network for Traffic Flow Prediction

arXiv preprint

2026

Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs

arXiv preprint

2026

Distilling Agentic Systems: A Roadmap across Models, Artifacts, and Harnesses

arXiv preprint

2026

Towards Robust Time Series Learning via Capacity-Centric Modulation

arXiv preprint

2025

Humanoid-inspired Causal Representation Learning for Domain Generalization

arXiv preprint

2025

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation

arXiv preprint

2024

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection

arXiv preprint

2024

XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting

arXiv preprint

2024

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction

arXiv preprint

2023

sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation

arXiv preprint

2022

Geometric Interaction Augmented Graph Collaborative Filtering

arXiv (Cornell University)

DOI

2022

Robust Graph Structure Learning via Multiple Statistical Tests

arXiv preprint

2022

Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space

arXiv preprint

2020

Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks

arXiv preprint

2020

Adversarial Directed Graph Embedding

arXiv preprint

2019

Deep Learning for Spatio-Temporal Data Mining: A Survey

arXiv preprint

2019

Mutual Clustering on Comparative Texts via Heterogeneous Information Networks

arXiv preprint

2019

Label-Aware Graph Convolutional Networks

arXiv preprint

2019

Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks

arXiv preprint

2019

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

arXiv preprint

2019

Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling

arXiv preprint

2019

Multi-Hot Compact Network Embedding

arXiv preprint

2018

Graph Convolutional Neural Networks via Motif-based Attention

arXiv preprint

2018

Improving Stock Market Prediction via Heterogeneous Information Fusion

arXiv preprint

DOI

2018

Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data

arXiv preprint

2018

Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping

arXiv preprint

2016

Intertwined Viral Marketing through Online Social Networks

arXiv preprint

2015

Location Prediction of Social Images via Generative Model

arXiv preprint

DOI

2015

Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching

arXiv preprint

2015

CENI: a Hybrid Framework for Efficiently Inferring Information Networks

arXiv preprint

2014

Future Influence Ranking of Scientific Literature

arXiv preprint

DOI