Pengfei Cui
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Pengfei Cuicomputer-science Degrees
Computer Science
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Algorithms
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#326
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Machine Learning
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Artificial Intelligence
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Computer Science
Pengfei Cui's Degrees
- PhD Computer Science Tsinghua University
- Bachelors Computer Science Tsinghua University
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(Suggest an Edit or Addition)Pengfei Cui's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Structural Deep Network Embedding (2016) (2169)
- Heterogeneous Graph Attention Network (2019) (1204)
- Asymmetric Transitivity Preserving Graph Embedding (2016) (1004)
- A Survey on Network Embedding (2017) (835)
- Deep Learning on Graphs: A Survey (2018) (819)
- Community Preserving Network Embedding (2017) (667)
- Social contextual recommendation (2012) (301)
- Robust Graph Convolutional Networks Against Adversarial Attacks (2019) (253)
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks (2020) (204)
- Structural Deep Clustering Network (2020) (187)
- Disentangled Graph Convolutional Networks (2019) (185)
- CatchSync: catching synchronized behavior in large directed graphs (2014) (170)
- Arbitrary-Order Proximity Preserved Network Embedding (2018) (161)
- A Semi-Supervised Graph Attentive Network for Financial Fraud Detection (2019) (155)
- Who should share what?: item-level social influence prediction for users and posts ranking (2011) (155)
- Learning Disentangled Representations for Recommendation (2019) (154)
- Scalable Recommendation with Social Contextual Information (2014) (153)
- Towards Out-Of-Distribution Generalization: A Survey (2021) (152)
- Structural Deep Embedding for Hyper-Networks (2017) (142)
- Deep Recursive Network Embedding with Regular Equivalence (2018) (139)
- Cascading outbreak prediction in networks: a data-driven approach (2013) (120)
- Suspicious Behavior Detection: Current Trends and Future Directions (2016) (113)
- Disentangled Self-Supervision in Sequential Recommenders (2020) (112)
- Deep Multimodal Hashing with Orthogonal Regularization (2015) (111)
- Social Recommendation with Cross-Domain Transferable Knowledge (2015) (110)
- Deep Variational Network Embedding in Wasserstein Space (2018) (106)
- A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models (2019) (101)
- Stable Prediction across Unknown Environments (2018) (101)
- Network embedding in biomedical data science (2018) (100)
- Towards Non-I.I.D. image classification: A dataset and baselines (2019) (100)
- High-Order Proximity Preserved Embedding for Dynamic Networks (2018) (98)
- From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics (2015) (95)
- Deep Stable Learning for Out-Of-Distribution Generalization (2021) (87)
- A General Suspiciousness Metric for Dense Blocks in Multimodal Data (2015) (85)
- Inferring Strange Behavior from Connectivity Pattern in Social Networks (2014) (84)
- TIMERS: Error-Bounded SVD Restart on Dynamic Networks (2017) (82)
- Social recommendation across multiple relational domains (2012) (82)
- Catching Synchronized Behaviors in Large Networks (2016) (82)
- Interpreting and Unifying Graph Neural Networks with An Optimization Framework (2021) (78)
- Understanding and classifying image tweets (2013) (78)
- Multimedia Big Data Computing (2015) (76)
- Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure (2015) (76)
- DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks (2018) (66)
- Comparing apples to oranges: a scalable solution with heterogeneous hashing (2013) (65)
- What Videos Are Similar with You?: Learning a Common Attributed Representation for Video Recommendation (2014) (63)
- Video Summarization by Learning Deep Side Semantic Embedding (2019) (62)
- Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds (2016) (61)
- Stable Prediction with Model Misspecification and Agnostic Distribution Shift (2020) (58)
- FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery (2014) (52)
- Billion-Scale Network Embedding with Iterative Random Projection (2018) (50)
- Stable Learning via Sample Reweighting (2019) (50)
- Heterogeneous Risk Minimization (2021) (49)
- Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms (2016) (48)
- Inferring lockstep behavior from connectivity pattern in large graphs (2016) (47)
- Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing (2017) (47)
- Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity (2022) (46)
- Causally Regularized Learning with Agnostic Data Selection Bias (2017) (46)
- General Knowledge Embedded Image Representation Learning (2018) (46)
- On the Equivalence of Decoupled Graph Convolution Network and Label Propagation (2020) (44)
- Treatment Effect Estimation with Data-Driven Variable Decomposition (2017) (43)
- Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications (2016) (41)
- Discovering Urban Spatio-temporal Structure from Time-Evolving Traffic Networks (2014) (40)
- A Sequential Monte Carlo Approach to Anomaly Detection in Tracking Visual Events (2007) (38)
- Rule-Guided Compositional Representation Learning on Knowledge Graphs (2019) (38)
- Detecting suspicious following behavior in multimillion-node social networks (2014) (35)
- User interest and social influence based emotion prediction for individuals (2013) (35)
- Hierarchical Taxonomy Aware Network Embedding (2018) (35)
- Incorporating Network Embedding into Markov Random Field for Better Community Detection (2019) (34)
- Counterfactual Prediction for Bundle Treatment (2020) (34)
- Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks (2020) (33)
- Social Media Recommendation (2013) (30)
- AutoNE: Hyperparameter Optimization for Massive Network Embedding (2019) (30)
- Non-transitive Hashing with Latent Similarity Components (2015) (29)
- Analyzing Image Deblurring Through Three Paradigms (2012) (28)
- A Matrix-Based Approach to Unsupervised Human Action Categorization (2012) (27)
- Social-Sensed Image Search (2014) (26)
- Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization (2011) (26)
- Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation (2018) (26)
- Uncovering and predicting the dynamic process of information cascades with survival model (2017) (24)
- Social-Sensed Multimedia Computing (2016) (23)
- Come-and-Go Patterns of Group Evolution: A Dynamic Model (2016) (23)
- Algorithmic Decision Making with Conditional Fairness (2020) (22)
- On Power Law Growth of Social Networks (2018) (22)
- Quantifying Structural Patterns of Information Cascades (2017) (21)
- Social Embedding Image Distance Learning (2014) (21)
- Social Visual Image Ranking for Web Image Search (2013) (20)
- Calibrated Reliable Regression using Maximum Mean Discrepancy (2020) (20)
- OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena (2020) (19)
- Learning to Select Base Classes for Few-Shot Classification (2020) (19)
- Social-oriented visual image search (2014) (19)
- A Multiscale Survival Process for Modeling Human Activity Patterns (2016) (19)
- Stable Learning via Differentiated Variable Decorrelation (2020) (19)
- Propagation-based social-aware multimedia content distribution (2013) (19)
- Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation (2020) (19)
- Learning Socially Embedded Visual Representation from Scratch (2015) (18)
- A cascade SVM approach for head-shoulder detection using histograms of oriented gradients (2009) (18)
- Sliding Selector Network with Dynamic Memory for Extractive Summarization of Long Documents (2021) (18)
- Contextual Mixture Tracking (2009) (18)
- Bilateral Correspondence Model for Words-and-Pictures Association in Multimedia-Rich Microblogs (2014) (18)
- Intention-Aware Sequential Recommendation With Structured Intent Transition (2021) (18)
- Context-Aware Attention-Based Data Augmentation for POI Recommendation (2019) (17)
- MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games (2019) (17)
- Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity (2017) (16)
- Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation (2021) (16)
- Emotionally Representative Image Discovery for Social Events (2014) (16)
- Analyzing social media via event facets (2012) (16)
- A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics (2017) (14)
- Stable Adversarial Learning under Distributional Shifts (2020) (14)
- Steering Social Media Promotions with Effective Strategies (2016) (14)
- Focused Context Balancing for Robust Offline Policy Evaluation (2019) (14)
- A data-driven study of image feature extraction and fusion (2014) (14)
- Find you from your friends: Graph-based residence location prediction for users in social media (2014) (13)
- Joint user-interest and social-influence emotion prediction for individuals (2017) (13)
- Temporal-Aware Graph Neural Network for Credit Risk Prediction (2021) (13)
- Generalizing Graph Neural Networks on Out-Of-Distribution Graphs (2021) (13)
- Graph-Based Residence Location Inference for Social Media Users (2014) (13)
- How Your Portrait Impresses People?: Inferring Personality Impressions from Portrait Contents (2014) (12)
- Deep Learning for Learning Graph Representations (2019) (12)
- Kernelized Heterogeneous Risk Minimization (2021) (12)
- Topic-Guided Abstractive Multi-Document Summarization (2021) (12)
- Collaborative Generative Adversarial Network for Recommendation Systems (2019) (12)
- DARING: Differentiable Causal Discovery with Residual Independence (2021) (12)
- Probabilistic Attributed Hashing (2015) (11)
- Treatment Effect Estimation via Differentiated Confounder Balancing and Regression (2019) (11)
- Learning to Learn Image Classifiers With Visual Analogy (2017) (10)
- Multimedia recommendation: technology and techniques (2013) (10)
- Recent Advances on Graph Analytics and Its Applications in Healthcare (2020) (10)
- Special issue on intelligent urban computing with big data (2017) (9)
- Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization (2021) (9)
- Uncovering and Predicting Human Behaviors (2016) (9)
- The General Black-box Attack Method for Graph Neural Networks (2019) (9)
- Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network (2021) (9)
- NICO: A Dataset Towards Non-I.I.D. Image Classification (2019) (8)
- Perceiving Group Themes from Collective Social and Behavioral Information (2015) (8)
- Causal Inference Meets Machine Learning (2020) (8)
- Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach (2018) (8)
- Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs (2020) (8)
- Adaptive mixture observation models for multiple object tracking (2009) (8)
- On Image Classification: Correlation v.s. Causality (2017) (8)
- Collective Human Behavior in Cascading System: Discovery, Modeling and Applications (2018) (8)
- Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge (2021) (8)
- Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation (2021) (7)
- Learning and Interpreting Complex Distributions in Empirical Data (2018) (7)
- GQNAS: Graph Q Network for Neural Architecture Search (2021) (7)
- Signed Graph Neural Network with Latent Groups (2021) (7)
- Fates of Microscopic Social Ecosystems: Keep Alive or Dead? (2019) (6)
- Learning Stable Graphs from Multiple Environments with Selection Bias (2020) (6)
- Social Media Profiler: Inferring Your Social Media Personality from Visual Attributes in Portrait (2016) (6)
- Power-law Distribution Aware Trust Prediction (2018) (6)
- Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation (2019) (6)
- Hierarchical visual event pattern mining and its applications (2011) (6)
- Structural patterns of information cascades and their implications for dynamics and semantics (2017) (6)
- Guest editorial: Special issue on information retrieval for social media (2012) (6)
- Deep Multimodal Hashing with Orthogonal Units (2015) (5)
- Scalable Optimization for Embedding Highly-Dynamic and Recency-Sensitive Data (2018) (5)
- Deep Learning for Multimedia: Science or Technology? (2018) (5)
- A Joint Matrix Factorization Approach to Unsupervised Action Categorization (2008) (5)
- Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation (2020) (5)
- Uncovering the Co-driven Mechanism of Social and Content Links in User Churn Phenomena (2019) (5)
- Stable Prediction via Leveraging Seed Variable (2020) (5)
- Head detection based on convolutional neural network with multi-stage weighted feature (2015) (4)
- Uncovering Pattern Formation of Information Flow (2019) (4)
- Distributionally Robust Learning with Stable Adversarial Training (2021) (4)
- comeNgo (2017) (4)
- Learning From Networks: Algorithms, Theory, and Applications (2019) (4)
- AutoNE (2019) (4)
- Dynamical Origins of Distribution Functions (2019) (4)
- comeNgo: A Dynamic Model for Social Group Evolution (2017) (4)
- Exploring the collective human behavior in cascading systems: a comprehensive framework (2020) (3)
- Globally Optimized Matchmaking in Online Games (2021) (3)
- Scalable Recommendation with Social (2014) (2)
- The Visualization of Mass Information in Social Network with a Holistic View (2011) (2)
- A Simple and General Graph Neural Network with Stochastic Message Passing (2020) (2)
- Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors (2021) (2)
- Causation-Driven Visualizations for Insurance Recommendation (2019) (2)
- Multimedia recommendation (2012) (2)
- Online Behavioral Analysis and Modeling [Guest Editorial] (2016) (2)
- An effective interaction control mechanism with minor step for multidisciplinary collaborative simulation system (2010) (2)
- Social and behavioural media access (2011) (2)
- A Novel Event-Oriented Segment-of-Interest Discovery Method for Surveillance Video (2007) (1)
- Invariant Adversarial Learning for Distributional Robustness (2020) (1)
- Adversarial Eigen Attack on BlackBox Models (2020) (1)
- Accurate and Reliable Forecasting using Stochastic Differential Equations (2021) (1)
- Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching (2020) (1)
- A Graph Learning Based Framework for Billion-Scale Offline User Identification (2022) (1)
- A variable-step numerical method for collaborative computation of two coupling models in multidisciplinary engineering systems (2011) (1)
- Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation (2021) (1)
- Social multimedia computing (2014) (1)
- Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? (2021) (1)
- Proceedings of the 2011 ACM workshop on Social and behavioural networked media access (2011) (1)
- ACM international workshop on social and behavioral networked media access (SBNMA'11) (2011) (1)
- Introduction to the Special Section on Advances in Causal Discovery and Inference (2019) (1)
- ListReader: Extracting List-form Answers for Opinion Questions (2021) (1)
- S I ] 2 3 N ov 2 01 7 A Survey on Network Embedding (2017) (0)
- Session details: Paper session 1 (2011) (0)
- Preface to nining and understanding from big data (2013) (0)
- Session details: FF-2 (2018) (0)
- Out-of-distribution Generalization and Its Applications for Multimedia (2021) (0)
- Guest Editorial: Query understanding (2018) (0)
- Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing (2020) (0)
- Why Do People Need Recommendation in Social Media ? (2012) (0)
- Learning to Learn Image Classifiers with Informative Visual Analogy (2017) (0)
- Uncovering and predicting the dynamic process of information cascades with survival model (2016) (0)
- AGNOSTIC LABEL SELECTION BIAS (2021) (0)
- Appendix (1936) (0)
- Visual Analogy Graph Late Fusion Graph Embedding Embedded Regression (2019) (0)
- Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model (2022) (0)
- Inferring lockstep behavior from connectivity pattern in large graphs (2015) (0)
- Human-like Visual Learning and Reasoning (2017) (0)
- Predict Quit Rate of Group from User Behavioral and Social Information (2015) (0)
- Analysis of Human Actions for Video Indexing (2008) (0)
- 1st workshop on diffusion networks and cascade analytics (2014) (0)
- A modular method to implement multidisciplinary CAE systems into a distributed simulation environment (2011) (0)
- Modeling the Dynamics of WeChat Social System (2018) (0)
- EventLens: An Automatic Magazine Generating System for Social Media (2013) (0)
- HFAG: Hierarchical Frame Affinity Group for video retrieval on very large video dataset (2010) (0)
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