崔鹏

2026

大模型时代下的图数据学习

《计算》

2026

图机器学习泛化性：回顾与展望

《计算》

2026

基于自监督表征学习与因果知识引导的高压换流阀声纹故障诊断方法

《现代制造工程》

DOI

2026

Generating Risky Samples with Conformity Constraints via Diffusion Models

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Error Slice Discovery via Manifold Compactness

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

DAG-FM: A Foundation Model for Causal Discovery under Heterogeneous Causal Mechanisms

arXiv.org

DOI

2026

When does heterogeneous structured evidence help? A unified benchmark for structured-data modeling

AI Plus

DOI

2026

A Knowledge-Informed Pretrained Model for Causal Discovery

arXiv.org

DOI

2026

Generalist Model for Structured Data: Foundations, Frontiers and Applications

The Web Conference

DOI

2026

Closed-Form Spectral Regularization for Multi-Task Model Merging

arXiv.org

DOI

2026

LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models

arXiv.org

DOI

2026

Sample Weight Averaging for Stable Prediction

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2026

Generalizing on Diverse Shifts: A Unified Topology-Aware Reweighting Algorithm for Graphs

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

StablePFN: Stable Prediction with Causal-Aware Tabular Foundation Model

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

DOI

2026

Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation

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

DOI

2026

Toward Generalist Models for Structured Data: Fundamentals, Emerging Trends and Applications

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

DOI

2025

Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Environment Inference for Learning Generalizable Dynamical System

Neural Information Processing Systems

DOI

2025

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence

arXiv.org

DOI

2025

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts

Computer Vision and Pattern Recognition

DOI

2025

On the Out-Of-Distribution Generalization of Large Multimodal Models

Computer Vision and Pattern Recognition

DOI

2025

ODP-Bench: Benchmarking Out-Of-Distribution Performance Prediction

IEEE International Conference on Computer Vision

DOI

2025

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study

International Conference on Learning Representations

DOI

2025

Data Heterogeneity Modeling for Trustworthy Machine Learning

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

DOI

2025

PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint

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

DOI

2025

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2025

Exploring and Exploiting Data Heterogeneity in Recommendation

ACM Transactions on Knowledge Discovery from Data

DOI

2025

Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments

IEEE Transactions on Industrial Informatics

DOI

2025

Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach

DOI

2024

基于节点特征对抗性攻击的图对比学习鲁棒性验证

《清华大学学报(自然科学版)》

2024

Stable Cox regression for survival analysis under distribution shifts

Nature Machine Intelligence

DOI

2024

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators

Knowledge Discovery and Data Mining

DOI

2024

Model-Agnostic Random Weighting for Out-of-Distribution Generalization

Knowledge Discovery and Data Mining

DOI

2024

A Survey on Evaluation of Out-of-Distribution Generalization

arXiv.org

DOI

2024

Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments

ACM Transactions on Knowledge Discovery from Data

DOI

2024

AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning

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

DOI

2024

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference

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

DOI

2024

Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies

Entropy

DOI

2024

SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations

ACM Transactions on Knowledge Discovery from Data

DOI

2023

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract)

IEEE International Conference on Data Engineering

DOI

2023

Flatness-Aware Minimization for Domain Generalization

IEEE International Conference on Computer Vision

DOI

2023

Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

GRASS: Learning Spatial–Temporal Properties From Chainlike Cascade Data for Microscopic Diffusion Prediction

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Covariate-Shift Generalization via Random Sample Weighting

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation

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

DOI

2023

NICO++: Towards Better Benchmarking for Domain Generalization

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2023

Tutorials at The Web Conference 2023

ACM Web Conference (WWW)

DOI

2023

Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping

ACM Web Conference (WWW)

DOI

2023

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges

Lecture notes in computer science

DOI

2023

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network

Lecture notes in computer science

DOI

2022

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

A Graph Learning Based Framework for Billion-Scale Offline User Identification

Knowledge Discovery and Data Mining

DOI

2022

Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model

Knowledge Discovery and Data Mining

DOI

2022

Stable Prediction with Leveraging Seed Variable

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Stable learning establishes some common ground between causal inference and machine learning

Nature Machine Intelligence

DOI

2022

Graph Neural Networks: Foundation, Frontiers and Applications

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

DOI

2022

Differentiated matching for individual and average treatment effect estimation

Data Mining and Knowledge Discovery

DOI

2022

Group-based social diffusion in recommendation

World Wide Web

DOI

2022

Invariant Preference Learning for General Debiasing in Recommendation

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

DOI

2022

Towards Unsupervised Domain Generalization

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2022

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation

ACM Web Conference (WWW)

DOI

2022

Regulatory Instruments for Fair Personalized Pricing

ACM Web Conference (WWW)

DOI

2021

Intention-Aware Sequential Recommendation With Structured Intent Transition

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Generalizing Graph Neural Networks on Out-of-Distribution Graphs

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2021

Distributionally Robust Learning With Stable Adversarial Training

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network

IEEE Transactions on Big Data

DOI

2021

Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

AAAI Conference on Artificial Intelligence

DOI

2021

Globally Optimized Matchmaking in Online Games

Knowledge Discovery and Data Mining

DOI

2021

GQNAS: Graph Q Network for Neural Architecture Search

Industrial Conference on Data Mining

DOI

2021

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation

International Conference on Information and Knowledge Management

DOI

2021

Interpreting and Unifying Graph Neural Networks with An Optimization Framework

The Web Conference

DOI

2021

Signed Graph Neural Network with Latent Groups

Knowledge Discovery and Data Mining

DOI

2021

Deep Stable Learning for Out-Of-Distribution Generalization

Computer Vision and Pattern Recognition

DOI

2021

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization

arXiv.org

2021

Kernelized Heterogeneous Risk Minimization

Neural Information Processing Systems

2021

Out-of-distribution Generalization and Its Applications for Multimedia

ACM Multimedia

DOI

2021

DARING: Differentiable Causal Discovery with Residual Independence

Knowledge Discovery and Data Mining

DOI

2021

Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors

Knowledge Discovery and Data Mining

DOI

2021

Heterogeneous Risk Minimization

International Conference on Machine Learning

2021

Towards Out-Of-Distribution Generalization: A Survey

arXiv.org

2021

Temporal-Aware Graph Neural Network for Credit Risk Prediction

SDM

DOI

2021

Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks

ACM Transactions on Information Systems

DOI

2021

Continuous treatment effect estimation via generative adversarial de-confounding

Data Mining and Knowledge Discovery

DOI

2021

Sample Balancing for Improving Generalization under Distribution Shifts

2020

Exploring the collective human behavior in cascading systems: a comprehensive framework

Knowledge and Information Systems

DOI

2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift

AAAI Conference on Artificial Intelligence

DOI

2020

Stable Adversarial Learning under Distributional Shifts

AAAI Conference on Artificial Intelligence

DOI

2020

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

IEEE Transactions on Knowledge and Data Engineering

DOI

2020

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing

IEEE Transactions on Knowledge and Data Engineering

DOI

2020

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Knowledge Discovery and Data Mining

DOI

2020

Disentangled Self-Supervision in Sequential Recommenders

Knowledge Discovery and Data Mining

DOI

2020

Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation

International Conference on Information and Knowledge Management

DOI

2020

A Simple and General Graph Neural Network with Stochastic Message Passing

arXiv.org

2020

Learning Stable Graphs from Multiple Environments with Selection Bias

Knowledge Discovery and Data Mining

DOI

2020

Adversarial Eigen Attack on BlackBox Models

Computer Vision and Pattern Recognition

DOI

2020

Recent Advances on Graph Analytics and Its Applications in Healthcare

Knowledge Discovery and Data Mining

DOI

2020

Stable Learning via Differentiated Variable Decorrelation

Knowledge Discovery and Data Mining

DOI

2020

Algorithmic Decision Making with Conditional Fairness

Knowledge Discovery and Data Mining

DOI

2020

Causal Inference Meets Machine Learning

Knowledge Discovery and Data Mining

DOI

2020

Counterfactual Prediction for Bundle Treatment

Neural Information Processing Systems

2020

OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena

Knowledge Discovery and Data Mining

DOI

2020

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation

The Web Conference

DOI

2020

Learning to Select Base Classes for Few-Shot Classification

Computer Vision and Pattern Recognition

DOI

2020

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation

International Conference on Information and Knowledge Management

DOI

2020

Invariant Adversarial Learning for Distributional Robustness

arXiv.org

2020

Structural Deep Clustering Network

The Web Conference

DOI

2020

Data-Driven Variable Decomposition for Treatment Effect Estimation

IEEE Transactions on Knowledge and Data Engineering

DOI

2020

IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications

IEEE Access

DOI

2019

Introduction to the Special Section on Advances in Causal Discovery and Inference

ACM Transactions on Intelligent Systems and Technology

DOI

2019

Stable Learning via Sample Reweighting

AAAI Conference on Artificial Intelligence

DOI

2019

A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models

AAAI Conference on Artificial Intelligence

DOI

2019

Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation

International Joint Conference on Artificial Intelligence

DOI

2019

Rule-Guided Compositional Representation Learning on Knowledge Graphs

AAAI Conference on Artificial Intelligence

DOI

2019

Incorporating Network Embedding into Markov Random Field for Better Community Detection

AAAI Conference on Artificial Intelligence

DOI

2019

Heterogeneous Graph Attention Network

The Web Conference

DOI

2019

A Semi-Supervised Graph Attentive Network for Financial Fraud Detection

Industrial Conference on Data Mining

DOI

2019

The General Black-box Attack Method for Graph Neural Networks

arXiv.org

2019

Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena

Knowledge Discovery and Data Mining

DOI

2019

Causation-Driven Visualizations for Insurance Recommendation

2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

DOI

2019

Towards Non-I.I.D. image classification: A dataset and baselines

Pattern Recognition

DOI

2019

Video Summarization by Learning Deep Side Semantic Embedding

IEEE transactions on circuits and systems for video technology (Print)

DOI

2019

Focused Context Balancing for Robust Offline Policy Evaluation

Knowledge Discovery and Data Mining

DOI

2019

Collaborative Generative Adversarial Network for Recommendation Systems

2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)

DOI

2019

Uncovering Pattern Formation of Information Flow

Knowledge Discovery and Data Mining

DOI

2019

AutoNE: Hyperparameter Optimization for Massive Network Embedding

Knowledge Discovery and Data Mining

DOI

2019

Disentangled Graph Convolutional Networks

International Conference on Machine Learning

2019

Learning Disentangled Representations for Recommendation

Neural Information Processing Systems

2019

Fates of Microscopic Social Ecosystems: Keep Alive or Dead?

Knowledge Discovery and Data Mining

DOI

2019

Context-Aware Attention-Based Data Augmentation for POI Recommendation

2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)

DOI

2019

Deep Learning for Learning Graph Representations

Deep Learning: Concepts and Architectures

DOI

2019

Dynamical Origins of Distribution Functions

Knowledge Discovery and Data Mining

DOI

2019

MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games

Knowledge Discovery and Data Mining

DOI

2019

Learning From Networks: Algorithms, Theory, and Applications

Knowledge Discovery and Data Mining

DOI

2019

Robust Graph Convolutional Networks Against Adversarial Attacks

Knowledge Discovery and Data Mining

DOI

2019

Treatment Effect Estimation via Differentiated Confounder Balancing and Regression

ACM Transactions on Knowledge Discovery from Data

DOI

2018

Deep Learning on Graphs: A Survey

IEEE Transactions on Knowledge and Data Engineering

DOI

2018

On Power Law Growth of Social Networks

IEEE Transactions on Knowledge and Data Engineering

DOI

2018

Power-law Distribution Aware Trust Prediction

International Joint Conference on Artificial Intelligence

DOI

2018

Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach

IEEE Transactions on Big Data

DOI

2018

DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks

AAAI Conference on Artificial Intelligence

DOI

2018

High-Order Proximity Preserved Embedding for Dynamic Networks

IEEE Transactions on Knowledge and Data Engineering

DOI

2018

Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation

AAAI Conference on Artificial Intelligence

DOI

2018

Collective Human Behavior in Cascading System: Discovery, Modeling and Applications

Industrial Conference on Data Mining

DOI

2018

General Knowledge Embedded Image Representation Learning

IEEE transactions on multimedia

DOI

2018

Guest Editorial: Query understanding

Neurocomputing

DOI

2018

Billion-Scale Network Embedding with Iterative Random Projection

Industrial Conference on Data Mining

DOI

2018

Stable Prediction across Unknown Environments

Knowledge Discovery and Data Mining

DOI

2018

Modeling the Dynamics of WeChat Social System

2018

Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data

Knowledge Discovery and Data Mining

DOI

2018

Deep Learning for Multimedia: Science or Technology?

ACM Multimedia

DOI

2018

Arbitrary-Order Proximity Preserved Network Embedding

Knowledge Discovery and Data Mining

DOI

2018

Hierarchical Taxonomy Aware Network Embedding

Knowledge Discovery and Data Mining

DOI

2018

Network embedding in biomedical data science

Briefings Bioinform.

DOI

2018

Deep Recursive Network Embedding with Regular Equivalence

Knowledge Discovery and Data Mining

DOI

2018

Learning and Interpreting Complex Distributions in Empirical Data

Knowledge Discovery and Data Mining

DOI

2018

Deep Variational Network Embedding in Wasserstein Space

Knowledge Discovery and Data Mining

DOI

2017

TIMERS: Error-Bounded SVD Restart on Dynamic Networks

AAAI Conference on Artificial Intelligence

DOI

2017

Treatment Effect Estimation with Data-Driven Variable Decomposition

AAAI Conference on Artificial Intelligence

DOI

2017

Structural Deep Embedding for Hyper-Networks

AAAI Conference on Artificial Intelligence

DOI

2017

A Survey on Network Embedding

IEEE Transactions on Knowledge and Data Engineering

DOI

2017

Community Preserving Network Embedding

AAAI Conference on Artificial Intelligence

DOI

2017

A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics

Knowledge Discovery and Data Mining

DOI

2017

Human-like Visual Learning and Reasoning

ACM Multimedia

DOI

2017

Joint user-interest and social-influence emotion prediction for individuals

Neurocomputing

DOI

2017

Learning to Learn Image Classifiers With Visual Analogy

Computer Vision and Pattern Recognition

DOI

2017

Special issue on intelligent urban computing with big data

Machine Vision and Applications

DOI

2017

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity

Knowledge Discovery and Data Mining

DOI

2017

Causally Regularized Learning with Agnostic Data Selection Bias

ACM Multimedia

DOI

2017

Quantifying Structural Patterns of Information Cascades

The Web Conference

DOI

2017

comeNgo

ACM Transactions on Knowledge Discovery from Data

DOI

2017

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing

Knowledge Discovery and Data Mining

DOI

2016

Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms

IEEE Transactions on Knowledge and Data Engineering

DOI

2016

Inferring lockstep behavior from connectivity pattern in large graphs

Knowledge and Information Systems

DOI

2016

Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds

AAAI Conference on Artificial Intelligence

DOI

2016

Uncovering and predicting the dynamic process of information cascades with survival model

Knowledge and Information Systems

DOI

2016

Social-Sensed Multimedia Computing

IEEE Multim.

DOI

2016

Online Behavioral Analysis and Modeling [Guest Editorial]

IEEE Intelligent Systems

DOI

2016

Asymmetric Transitivity Preserving Graph Embedding

Knowledge Discovery and Data Mining

DOI

2016

Catching Synchronized Behaviors in Large Networks

ACM Transactions on Knowledge Discovery from Data

DOI

2016

Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications

Knowledge Discovery and Data Mining

DOI

2016

A Multiscale Survival Process for Modeling Human Activity Patterns

PLoS ONE

DOI

2016

Uncovering and Predicting Human Behaviors

IEEE Intelligent Systems

DOI

2016

Social Media Profiler: Inferring Your Social Media Personality from Visual Attributes in Portrait

Pacific Rim Conference on Multimedia

DOI

2016

Steering Social Media Promotions with Effective Strategies

Industrial Conference on Data Mining

DOI

2016

Come-and-Go Patterns of Group Evolution: A Dynamic Model

Knowledge Discovery and Data Mining

DOI

2016

Structural Deep Network Embedding

Knowledge Discovery and Data Mining

DOI

2016

Suspicious Behavior Detection: Current Trends and Future Directions

IEEE Intelligent Systems

DOI

2015

Deep Multimodal Hashing with Orthogonal Regularization

International Joint Conference on Artificial Intelligence

2015

Probabilistic Attributed Hashing

AAAI Conference on Artificial Intelligence

DOI

2015

Perceiving Group Themes from Collective Social and Behavioral Information

AAAI Conference on Artificial Intelligence

DOI

2015

Non-transitive Hashing with Latent Similarity Components

Knowledge Discovery and Data Mining

DOI

2015

Learning Socially Embedded Visual Representation from Scratch

ACM Multimedia

DOI

2015

From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics

2015 IEEE International Conference on Data Mining

DOI

2015

Predict Quit Rate of Group from User Behavioral and Social Information

DOI

2015

A General Suspiciousness Metric for Dense Blocks in Multimodal Data

2015 IEEE International Conference on Data Mining

DOI

2015

Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure

IEEE transactions on multimedia

DOI

2015

Multimedia Big Data Computing

IEEE Multim.

DOI

2015

Social Recommendation with Cross-Domain Transferable Knowledge

IEEE Transactions on Knowledge and Data Engineering

DOI

2014

What Videos Are Similar with You?: Learning a Common Attributed Representation for Video Recommendation

ACM Multimedia

DOI

2014

Scalable Recommendation with Social Contextual Information

IEEE Transactions on Knowledge and Data Engineering

DOI

2014

CatchSync: catching synchronized behavior in large directed graphs

Knowledge Discovery and Data Mining

DOI

2014

Social multimedia computing

ACM Multimedia

DOI

2014

1st workshop on diffusion networks and cascade analytics

Web Search and Data Mining

DOI

2014

Social-oriented visual image search

Computer Vision and Image Understanding

DOI

2014

How Your Portrait Impresses People?: Inferring Personality Impressions from Portrait Contents

ACM Multimedia

DOI

2014

Graph-Based Residence Location Inference for Social Media Users

IEEE Multimedia

DOI

2014

Bilateral Correspondence Model for Words-and-Pictures Association in Multimedia-Rich Microblogs

TOMM

DOI

2014

Discovering Urban Spatio-temporal Structure from Time-Evolving Traffic Networks

Asia-Pacific Web Conference

DOI

2014

Social-Sensed Image Search

TOIS

DOI

2014

FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery

Knowledge Discovery and Data Mining

DOI

2014

Detecting suspicious following behavior in multimillion-node social networks

The Web Conference

DOI

2014

Emotionally Representative Image Discovery for Social Events

International Conference on Multimedia Retrieval

DOI

2014

Social Embedding Image Distance Learning

ACM Multimedia

DOI

2014

Inferring Strange Behavior from Connectivity Pattern in Social Networks

Pacific-Asia Conference on Knowledge Discovery and Data Mining

DOI

2014

Find you from your friends: Graph-based residence location prediction for users in social media

IEEE International Conference on Multimedia and Expo

DOI

2013

Social Media Recommendation

Social Media Retrieval

DOI

2013

User interest and social influence based emotion prediction for individuals

ACM Multimedia

DOI

2013

Social Visual Image Ranking for Web Image Search

Conference on Multimedia Modeling

DOI

2013

Propagation-based social-aware multimedia content distribution

ACM Trans. Multim. Comput. Commun. Appl.

DOI

2013

Preface to nining and understanding from big data

Industrial Conference on Data Mining

DOI

2013

Cascading outbreak prediction in networks: a data-driven approach

Knowledge Discovery and Data Mining

DOI

2013

EventLens: An Automatic Magazine Generating System for Social Media

Interacción

DOI

2013

Comparing apples to oranges: a scalable solution with heterogeneous hashing

Knowledge Discovery and Data Mining

DOI

2013

Multimedia recommendation: technology and techniques

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

DOI

2013

Understanding and classifying image tweets

ACM Multimedia

DOI

2012

Social recommendation across multiple relational domains

International Conference on Information and Knowledge Management

DOI

2012

Multimedia recommendation

ACM Multimedia

DOI

2012

A Matrix-Based Approach to Unsupervised Human Action Categorization

IEEE transactions on multimedia

DOI

2012

Social contextual recommendation

International Conference on Information and Knowledge Management

DOI

2012

Analyzing social media via event facets

ACM Multimedia

DOI

2012

Why Do People Need Recommendation in Social Media ?

2012

Guest editorial: Special issue on information retrieval for social media

Information retrieval (Boston)

DOI

2011

Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization

AAAI Conference on Artificial Intelligence

DOI

2011

Social and behavioural media access

SBNMA '11

DOI

2011

ACM international workshop on social and behavioral networked media access (SBNMA'11)

ACM Multimedia

DOI

2011

Hierarchical visual event pattern mining and its applications

Data mining and knowledge discovery

DOI

2011

Proceedings of the 2011 ACM workshop on Social and behavioural networked media access

ACM Multimedia

DOI

2011

The Visualization of Mass Information in Social Network with a Holistic View

Electronic Visualisation and the Arts London Conference

DOI

2011

Who should share what?: item-level social influence prediction for users and posts ranking

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

DOI

2008

A Joint Matrix Factorization Approach to Unsupervised Action Categorization

2008 Eighth IEEE International Conference on Data Mining

DOI

2008

Analysis of Human Actions for Video Indexing

Pacific Rim Conference on Multimedia

DOI

2007

A Novel Event-Oriented Segment-of-Interest Discovery Method for Surveillance Video

IEEE International Conference on Multimedia and Expo

DOI

2007

A Sequential Monte Carlo Approach to Anomaly Detection in Tracking Visual Events

2007 IEEE Conference on Computer Vision and Pattern Recognition

DOI

Ieee Transactions on Knowledge and Data Engineering, Manuscropt Id 1 Scalable Recommendation with Social Contextual Information

2021

Integrated Latent Heterogeneity and Invariance Learning in Kernel Space

neural information processing systems

2026

SkillTFM: Gated Skill Evolution for Training-Free Adaptation of Tabular Foundation Models

arXiv (Cornell University)

DOI

2026

CAFE: Counterfactual Prediction via Fast Posterior Estimation

arXiv (Cornell University)

DOI

2026

LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence

arXiv preprint

2026

From Objectives to What Models Learn: A Landau Theory of Invariant Learning

arXiv (Cornell University)

DOI

2026

RareDx: Controlled Knowledge Integration and Graph-Grounded Policy Optimization for Rare-Disease Diagnosis

arXiv (Cornell University)

DOI

2026

Surprisingly Simple and Effective Multi-Domain Graph Foundation Model through Graph-to-Table Alignment

arXiv (Cornell University)

DOI

2026

CDFM: Towards a General-Purpose Causal Discovery Foundation Model

arXiv (Cornell University)

DOI

2026

Learning-Zone Energy: Online Data Selection for Efficient RL Post-Training

arXiv (Cornell University)

DOI

2026

Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning

arXiv preprint

2026

Towards Precision Therapy in Hepatocellular Carcinoma: A Clinical-Reasoning LLM for Risk Stratification and Treatment Guidance

arXiv preprint

2026

Bayesian Gated Non-Negative Contrastive Learning

arXiv preprint

2026

TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation Models

arXiv preprint

2026

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving

arXiv preprint

2026

Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification

arXiv preprint

2025

Rule Learning for Knowledge Graph Reasoning under Agnostic Distribution Shift

arXiv preprint

2025

Grounding Large Language Models as Generalizable Policies in Network Control

arXiv preprint

2024

Accurate and Reliable Predictions with Mutual-Transport Ensemble

arXiv (Cornell University)

DOI

2024

Debiased Collaborative Filtering with Kernel-Based Causal Balancing

arXiv (Cornell University)

DOI

2024

Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift

arXiv preprint

2024

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph

arXiv preprint

2024

Stability Evaluation via Distributional Perturbation Analysis

arXiv preprint

2023

Towards Accelerated Model Training via Bayesian Data Selection

arXiv preprint

2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

arXiv preprint

2023

Confidence-based Reliable Learning under Dual Noises

arXiv preprint

2023

Meta Adaptive Task Sampling for Few-Domain Generalization

arXiv preprint

2023

Agents: An Open-source Framework for Autonomous Language Agents

arXiv preprint

2023

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications

arXiv preprint

2023

Rethinking Distribution Shifts: Empirical Analysis and Modeling for Tabular Data

arXiv preprint

2023

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

arXiv preprint

2023

Rethinking the Evaluation Protocol of Domain Generalization

arXiv preprint

2023

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization

arXiv preprint

2023

Model Agnostic Sample Reweighting for Out-of-Distribution Learning

arXiv preprint

2023

Predictive Heterogeneity: Measures and Applications

arXiv preprint

2023

Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting

arXiv preprint

2022

A Roadmap for Big Model

arXiv preprint

2022

ZIN: When and How to Learn Invariance Without Environment Partition?

arXiv preprint

2022

Towards Domain Generalization in Object Detection

arXiv preprint

2022

Neural Eigenfunctions Are Structured Representation Learners

arXiv preprint

2022

Enhancing Distributional Stability among Sub-populations

arXiv preprint

2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

arXiv preprint

2022

Product Ranking for Revenue Maximization with Multiple Purchases

arXiv preprint

2022

Stable Learning via Sparse Variable Independence

arXiv preprint

2021

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization

arXiv preprint

2022

Graph Neural Networks

Springer eBooks

DOI

2022

Graph Representation Learning

Springer eBooks

DOI

2022

Representation Learning

Springer eBooks

DOI