Peng Cui

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (PhD 2010)


According to our database1, Peng Cui authored at least 243 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Generalizing Graph Neural Networks on Out-of-Distribution Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

2023
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications.
IEEE Trans. Knowl. Data Eng., December, 2023

Distributionally Robust Learning With Stable Adversarial Training.
IEEE Trans. Knowl. Data Eng., November, 2023

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023

Group-based social diffusion in recommendation.
World Wide Web (WWW), July, 2023

Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing.
IEEE Trans. Knowl. Data Eng., June, 2023

Stable Prediction With Leveraging Seed Variable.
IEEE Trans. Knowl. Data Eng., June, 2023

Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge.
IEEE Trans. Knowl. Data Eng., May, 2023

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs.
IEEE Trans. Knowl. Data Eng., March, 2023

Differentiated matching for individual and average treatment effect estimation.
Data Min. Knowl. Discov., 2023

Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies.
CoRR, 2023

Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications.
CoRR, 2023

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks.
CoRR, 2023

Meta Adaptive Task Sampling for Few-Domain Generalization.
CoRR, 2023

Exploring and Exploiting Data Heterogeneity in Recommendation.
CoRR, 2023

Rethinking the Evaluation Protocol of Domain Generalization.
CoRR, 2023

Predictive Heterogeneity: Measures and Applications.
CoRR, 2023

Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping.
Proceedings of the ACM Web Conference 2023, 2023


On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Networks: Foundation, Frontiers and Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits.
Proceedings of the International Conference on Machine Learning, 2023

Propensity Matters: Measuring and Enhancing Balancing for Recommendation.
Proceedings of the International Conference on Machine Learning, 2023

Measure the Predictive Heterogeneity.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Intention-aware Sequential Recommendation with Structured Intent Transition : (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Flatness-Aware Minimization for Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.
Proceedings of the Database Systems for Advanced Applications, 2023

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NICO++: Towards Better Benchmarking for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Factual Observation Based Heterogeneity Learning for Counterfactual Prediction.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

Stable Learning via Sparse Variable Independence.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Covariate-Shift Generalization via Random Sample Weighting.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks.
ACM Trans. Inf. Syst., 2022

Deep Learning on Graphs: A Survey.
IEEE Trans. Knowl. Data Eng., 2022

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity.
IEEE Trans. Knowl. Data Eng., 2022

Intention-Aware Sequential Recommendation With Structured Intent Transition.
IEEE Trans. Knowl. Data Eng., 2022

Data-Driven Variable Decomposition for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng., 2022

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network.
IEEE Trans. Big Data, 2022

Stable learning establishes some common ground between causal inference and machine learning.
Nat. Mach. Intell., 2022

Distilling Causal Metaknowledge from Knowledge Graphs.
IEEE Data Eng. Bull., 2022

Distributionally Invariant Learning: Rationalization and Practical Algorithms.
CoRR, 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
CoRR, 2022

Towards Domain Generalization in Object Detection.
CoRR, 2022

ZIN: When and How to Learn Invariance by Environment Inference?
CoRR, 2022

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.
CoRR, 2022

Regulatory Instruments for Fair Personalized Pricing.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Product Ranking for Revenue Maximization with Multiple Purchases.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally Robust Optimization with Data Geometry.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZIN: When and How to Learn Invariance Without Environment Partition?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Graph Learning Based Framework for Billion-Scale Offline User Identification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Invariant Preference Learning for General Debiasing in Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Counterfactual Prediction for Outcome-Oriented Treatments.
Proceedings of the International Conference on Machine Learning, 2022

Model Agnostic Sample Reweighting for Out-of-Distribution Learning.
Proceedings of the International Conference on Machine Learning, 2022

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization.
Proceedings of the International Conference on Machine Learning, 2022

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Adversarial Eigen Attack on BlackBox Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Unsupervised Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Collaborative Learning for Extremely Low Bit Asymmetric Hashing.
IEEE Trans. Knowl. Data Eng., 2021

Towards Non-I.I.D. image classification: A dataset and baselines.
Pattern Recognit., 2021

Continuous treatment effect estimation via generative adversarial de-confounding.
Data Min. Knowl. Discov., 2021

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?
CoRR, 2021

Why Stable Learning Works? A Theory of Covariate Shift Generalization.
CoRR, 2021

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation.
CoRR, 2021

Towards Out-Of-Distribution Generalization: A Survey.
CoRR, 2021

Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization.
CoRR, 2021

Interpreting and Unifying Graph Neural Networks with An Optimization Framework.
Proceedings of the WWW '21: The Web Conference 2021, 2021

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Temporal-Aware Graph Neural Network for Credit Risk Prediction.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Kernelized Heterogeneous Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Out-of-distribution Generalization and Its Applications for Multimedia.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Signed Graph Neural Network with Latent Groups.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DARING: Differentiable Causal Discovery with Residual Independence.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Globally Optimized Matchmaking in Online Games.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Heterogeneous Risk Minimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

GQNAS: Graph Q Network for Neural Architecture Search.
Proceedings of the IEEE International Conference on Data Mining, 2021

Deep Stable Learning for Out-of-Distribution Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Stable Adversarial Learning under Distributional Shifts.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression.
ACM Trans. Knowl. Discov. Data, 2020

Exploring the collective human behavior in cascading systems: a comprehensive framework.
Knowl. Inf. Syst., 2020

A Simple and General Graph Neural Network with Stochastic Message Passing.
CoRR, 2020

Adversarial Eigen Attack on Black-Box Models.
CoRR, 2020

Stable Prediction via Leveraging Seed Variable.
CoRR, 2020

Invariant Adversarial Learning for Distributional Robustness.
CoRR, 2020

Deep Learning for Learning Graph Representations.
CoRR, 2020

Network embedding in biomedical data science.
Briefings Bioinform., 2020

Structural Deep Clustering Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Counterfactual Prediction for Bundle Treatment.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Algorithmic Decision Making with Conditional Fairness.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Recent Advances on Graph Analytics and Its Applications in Healthcare.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Stable Learning via Differentiated Variable Decorrelation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Disentangled Self-Supervision in Sequential Recommenders.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery.
Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), 2020

Learning Stable Graphs from Multiple Environments with Selection Bias.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Causal Inference Meets Machine Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning to Select Base Classes for Few-Shot Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Stable Learning via Sample Reweighting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Rule-Guided Compositional Representation Learning on Knowledge Graphs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Survey on Network Embedding.
IEEE Trans. Knowl. Data Eng., 2019

Introduction to the Special Section on Advances in Causal Discovery and Inference.
ACM Trans. Intell. Syst. Technol., 2019

Video Summarization by Learning Deep Side Semantic Embedding.
IEEE Trans. Circuits Syst. Video Technol., 2019

The General Black-box Attack Method for Graph Neural Networks.
CoRR, 2019

NICO: A Dataset Towards Non-I.I.D. Image Classification.
CoRR, 2019

Heterogeneous Graph Attention Network.
Proceedings of the World Wide Web Conference, 2019

Learning Disentangled Representations for Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Focused Context Balancing for Robust Offline Policy Evaluation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Robust Graph Convolutional Networks Against Adversarial Attacks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Dynamical Origins of Distribution Functions.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Uncovering Pattern Formation of Information Flow.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AutoNE: Hyperparameter Optimization for Massive Network Embedding.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Fates of Microscopic Social Ecosystems: Keep Alive or Dead?
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery.
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019

Learning From Networks: Algorithms, Theory, and Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Disentangled Graph Convolutional Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Causation-Driven Visualizations for Insurance Recommendation.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

A Semi-Supervised Graph Attentive Network for Financial Fraud Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Context-Aware Attention-Based Data Augmentation for POI Recommendation.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Learning to Learn Image Classifiers With Visual Analogy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
General Knowledge Embedded Image Representation Learning.
IEEE Trans. Multim., 2018

High-Order Proximity Preserved Embedding for Dynamic Networks.
IEEE Trans. Knowl. Data Eng., 2018

On Power Law Growth of Social Networks.
IEEE Trans. Knowl. Data Eng., 2018

Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach.
IEEE Trans. Big Data, 2018

Causally Regularized Learning with Agnostic Data Selection Bias.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Learning for Multimedia: Science or Technology?
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Session details: FF-2.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Variational Network Embedding in Wasserstein Space.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Arbitrary-Order Proximity Preserved Network Embedding.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning and Interpreting Complex Distributions in Empirical Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Recursive Network Embedding with Regular Equivalence.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Hierarchical Taxonomy Aware Network Embedding.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Stable Prediction across Unknown Environments.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Power-law Distribution Aware Trust Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Billion-Scale Network Embedding with Iterative Random Projection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Collective Human Behavior in Cascading System: Discovery, Modeling and Applications.
Proceedings of the IEEE International Conference on Data Mining, 2018

TIMERS: Error-Bounded SVD Restart on Dynamic Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Structural Deep Embedding for Hyper-Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Social-sensed multimedia computing.
Proceedings of the Frontiers of Multimedia Research, 2018

2017
comeNgo: A Dynamic Model for Social Group Evolution.
ACM Trans. Knowl. Discov. Data, 2017

Special issue on intelligent urban computing with big data.
Mach. Vis. Appl., 2017

Uncovering and predicting the dynamic process of information cascades with survival model.
Knowl. Inf. Syst., 2017

Joint user-interest and social-influence emotion prediction for individuals.
Neurocomputing, 2017

Learning to Learn Image Classifiers with Informative Visual Analogy.
CoRR, 2017

On Image Classification: Correlation v.s. Causality.
CoRR, 2017

Structural patterns of information cascades and their implications for dynamics and semantics.
CoRR, 2017

Quantifying Structural Patterns of Information Cascades.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Human-like Visual Learning and Reasoning.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Community Preserving Network Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Treatment Effect Estimation with Data-Driven Variable Decomposition.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach.
ACM Trans. Knowl. Discov. Data, 2016

Inferring lockstep behavior from connectivity pattern in large graphs.
Knowl. Inf. Syst., 2016

Social-Sensed Multimedia Computing.
IEEE Multim., 2016

Suspicious Behavior Detection: Current Trends and Future Directions.
IEEE Intell. Syst., 2016

Online Behavioral Analysis and Modeling [Guest Editorial].
IEEE Intell. Syst., 2016

Uncovering and Predicting Human Behaviors.
IEEE Intell. Syst., 2016

Social Media Profiler: Inferring Your Social Media Personality from Visual Attributes in Portrait.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Come-and-Go Patterns of Group Evolution: A Dynamic Model.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Structural Deep Network Embedding.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Asymmetric Transitivity Preserving Graph Embedding.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Steering Social Media Promotions with Effective Strategies.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure.
IEEE Trans. Multim., 2015

Social Recommendation with Cross-Domain Transferable Knowledge.
IEEE Trans. Knowl. Data Eng., 2015

Multimedia Big Data Computing.
IEEE Multim., 2015

Learning Socially Embedded Visual Representation from Scratch.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Non-transitive Hashing with Latent Similarity Components.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Deep Multimodal Hashing with Orthogonal Regularization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A General Suspiciousness Metric for Dense Blocks in Multimodal Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Head detection based on convolutional neural network with multi-stage weighted feature.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

Probabilistic Attributed Hashing.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Perceiving Group Themes from Collective Social and Behavioral Information.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Bilateral Correspondence Model for Words-and-Pictures Association in Multimedia-Rich Microblogs.
ACM Trans. Multim. Comput. Commun. Appl., 2014

Social-Sensed Image Search.
ACM Trans. Inf. Syst., 2014

Scalable Recommendation with Social Contextual Information.
IEEE Trans. Knowl. Data Eng., 2014

Hyperspectral Image Classification Through Bilayer Graph-Based Learning.
IEEE Trans. Image Process., 2014

A data-driven study of image feature extraction and fusion.
Inf. Sci., 2014

Graph-Based Residence Location Inference for Social Media Users.
IEEE Multim., 2014

Social-oriented visual image search.
Comput. Vis. Image Underst., 2014

Detecting suspicious following behavior in multimillion-node social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

1st workshop on diffusion networks and cascade analytics.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Inferring Strange Behavior from Connectivity Pattern in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

How Your Portrait Impresses People?: Inferring Personality Impressions from Portrait Contents.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Social Embedding Image Distance Learning.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Social multimedia computing.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

What Videos Are Similar with You?: Learning a Common Attributed Representation for Video Recommendation.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Emotionally Representative Image Discovery for Social Events.
Proceedings of the International Conference on Multimedia Retrieval, 2014

FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

CatchSync: catching synchronized behavior in large directed graphs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Find you from your friends: Graph-based residence location prediction for users in social media.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Discovering Urban Spatio-temporal Structure from Time-Evolving Traffic Networks.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
Social Media Recommendation.
Proceedings of the Social Media Retrieval, 2013

Propagation-based social-aware multimedia content distribution.
ACM Trans. Multim. Comput. Commun. Appl., 2013

Multimedia recommendation: technology and techniques.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Social Visual Image Ranking for Web Image Search.
Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

User interest and social influence based emotion prediction for individuals.
Proceedings of the ACM Multimedia Conference, 2013

Understanding and classifying image tweets.
Proceedings of the ACM Multimedia Conference, 2013

Comparing apples to oranges: a scalable solution with heterogeneous hashing.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Cascading outbreak prediction in networks: a data-driven approach.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

EventLens: An Automatic Magazine Generating System for Social Media.
Proceedings of the Human Interface and the Management of Information. Information and Interaction Design, 2013

2012
A Matrix-Based Approach to Unsupervised Human Action Categorization.
IEEE Trans. Multim., 2012

Analyzing Image Deblurring Through Three Paradigms.
IEEE Trans. Image Process., 2012

Guest editorial: Special issue on information retrieval for social media.
Inf. Retr., 2012

Analyzing social media via event facets.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Multimedia recommendation.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Social recommendation across multiple relational domains.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Social contextual recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Hierarchical visual event pattern mining and its applications.
Data Min. Knowl. Discov., 2011

Who should share what?: item-level social influence prediction for users and posts ranking.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

ACM international workshop on social and behavioral networked media access (SBNMA'11).
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

The Visualization of Mass Information in Social Network with a Holistic View.
Proceedings of the Electronic Visualisation and the Arts, 2011

Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
HFAG: Hierarchical Frame Affinity Group for video retrieval on very large video dataset.
Proceedings of the International Conference on Image Processing, 2010

2009
Contextual Mixture Tracking.
IEEE Trans. Multim., 2009

Adaptive mixture observation models for multiple object tracking.
Sci. China Ser. F Inf. Sci., 2009

A Cascade SVM Approach for Head-shoulder Detection using Histograms of Oriented Gradients.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

2008
Analysis of Human Actions for Video Indexing.
Proceedings of the Advances in Multimedia Information Processing, 2008

A Joint Matrix Factorization Approach to Unsupervised Action Categorization.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
A Novel Event-Oriented Segment-of-Interest Discovery Method for Surveillance Video.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

A Sequential Monte Carlo Approach to Anomaly Detection in Tracking Visual Events.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007


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