Jiliang. Tang
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Computer Science
Jiliang. Tang's Degrees
- PhD Computer Science Arizona State University
- Masters Computer Science Arizona State University
- Bachelors Computer Science Zhejiang University
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(Suggest an Edit or Addition)Jiliang. Tang'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
- Fake News Detection on Social Media: A Data Mining Perspective (2017) (1897)
- Feature Selection (2016) (1338)
- Feature Selection for Classification: A Review (2014) (1006)
- Graph Neural Networks for Social Recommendation (2019) (942)
- Heterogeneous Network Embedding via Deep Architectures (2015) (553)
- A Survey on Dialogue Systems: Recent Advances and New Frontiers (2017) (504)
- Exploring temporal effects for location recommendation on location-based social networks (2013) (478)
- Social recommendation: a review (2013) (433)
- Exploiting social relations for sentiment analysis in microblogging (2013) (390)
- Unsupervised sentiment analysis with emotional signals (2013) (389)
- Adversarial Attacks and Defenses in Images, Graphs and Text: A Review (2019) (382)
- Feature Selection for Clustering: A Review (2018) (342)
- mTrust: discerning multi-faceted trust in a connected world (2012) (318)
- Attributed Network Embedding for Learning in a Dynamic Environment (2017) (317)
- Content-Aware Point of Interest Recommendation on Location-Based Social Networks (2015) (300)
- Exploiting homophily effect for trust prediction (2013) (276)
- Graph Structure Learning for Robust Graph Neural Networks (2020) (275)
- A Survey of Signed Network Mining in Social Media (2015) (263)
- Exploring Social-Historical Ties on Location-Based Social Networks (2012) (252)
- Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning (2018) (249)
- Deep reinforcement learning for page-wise recommendations (2018) (242)
- gSCorr: modeling geo-social correlations for new check-ins on location-based social networks (2012) (226)
- Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020) (222)
- Exploiting Local and Global Social Context for Recommendation (2013) (222)
- What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation (2017) (221)
- Graph Convolutional Networks with EigenPooling (2019) (208)
- Signed Network Embedding in Social Media (2017) (207)
- eTrust: understanding trust evolution in an online world (2012) (205)
- User Identity Linkage across Online Social Networks: A Review (2017) (203)
- Embedded Unsupervised Feature Selection (2015) (194)
- Unsupervised feature selection for linked social media data (2012) (190)
- Social Spammer Detection in Microblogging (2013) (176)
- XGNN: Towards Model-Level Explanations of Graph Neural Networks (2020) (161)
- Signed Graph Convolutional Networks (2018) (143)
- Learning Word Representations for Sentiment Analysis (2017) (139)
- Deep Reinforcement Learning for List-wise Recommendations (2017) (138)
- Negative Link Prediction in Social Media (2014) (137)
- Feature Selection with Linked Data in Social Media (2012) (133)
- Mining social media with social theories: a survey (2014) (133)
- Online Social Spammer Detection (2014) (121)
- Ranking Relevance in Yahoo Search (2016) (121)
- Opening the Black Box: Interpretable Machine Learning for Geneticists. (2020) (121)
- Mobile Location Prediction in Spatio-Temporal Context (2012) (120)
- Streaming Graph Neural Networks (2018) (116)
- Unsupervised Feature Selection for Multi-View Data in Social Media (2013) (109)
- Node Similarity Preserving Graph Convolutional Networks (2020) (108)
- Multi-Source Multi-Class Fake News Detection (2018) (107)
- Node Classification in Signed Social Networks (2016) (107)
- Self-supervised Learning on Graphs: Deep Insights and New Direction (2020) (104)
- Social Spammer Detection with Sentiment Information (2014) (102)
- Modeling temporal effects of human mobile behavior on location-based social networks (2013) (100)
- Micro Behaviors: A New Perspective in E-commerce Recommender Systems (2018) (97)
- Recommendations in Signed Social Networks (2016) (95)
- Attributed Signed Network Embedding (2017) (94)
- Linked Document Embedding for Classification (2016) (94)
- Unsupervised Streaming Feature Selection in Social Media (2015) (92)
- Enriching short text representation in microblog for clustering (2012) (90)
- Recommendation with Social Dimensions (2016) (88)
- Unsupervised Sentiment Analysis for Social Media Images (2015) (88)
- Is distrust the negation of trust?: the value of distrust in social media (2014) (86)
- Learning Hierarchical Discourse-level Structure for Fake News Detection (2019) (86)
- Multi-Dimensional Network Embedding with Hierarchical Structure (2018) (86)
- Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study (2020) (85)
- Hierarchical Variational Memory Network for Dialogue Generation (2018) (83)
- Does Gender Matter? Towards Fairness in Dialogue Systems (2019) (82)
- Streaming Recommender Systems (2016) (82)
- Hierarchical Attention Network for Action Recognition in Videos (2016) (78)
- DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses (2020) (78)
- A Unified View on Graph Neural Networks as Graph Signal Denoising (2020) (75)
- Context-aware review helpfulness rating prediction (2013) (75)
- To be Robust or to be Fair: Towards Fairness in Adversarial Training (2020) (73)
- Multi-dimensional Graph Convolutional Networks (2018) (71)
- An Unsupervised Feature Selection Framework for Social Media Data (2014) (71)
- Is Homophily a Necessity for Graph Neural Networks? (2021) (71)
- Modeling Temporal-Spatial Correlations for Crime Prediction (2017) (70)
- A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce (2018) (70)
- Adversarial Attacks and Defenses on Graphs (2020) (67)
- Learning to Rewrite Queries (2016) (65)
- Addressing the cold-start problem in location recommendation using geo-social correlations (2015) (64)
- Exploring Implicit Hierarchical Structures for Recommender Systems (2015) (63)
- R-Transformer: Recurrent Neural Network Enhanced Transformer (2019) (62)
- Attacking Graph Convolutional Networks via Rewiring (2019) (62)
- AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations (2020) (60)
- Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks (2020) (56)
- Trustworthy AI: A Computational Perspective (2021) (54)
- Understanding and Discovering Deliberate Self-harm Content in Social Media (2017) (53)
- Elastic Graph Neural Networks (2021) (53)
- Deep Adversarial Social Recommendation (2019) (52)
- Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data (2016) (51)
- Exploring Hierarchical Structures for Recommender Systems (2018) (50)
- Deep social collaborative filtering (2019) (49)
- Jointly Learning to Recommend and Advertise (2020) (48)
- Signed Link Analysis in Social Media Networks (2016) (47)
- Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey (2018) (47)
- Trust in Social Media (2015) (45)
- Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning (2020) (45)
- Exploiting Emotional Information for Trust/Distrust Prediction (2016) (45)
- Whole-Chain Recommendations (2019) (44)
- A Graph Neural Network Framework for Social Recommendations (2020) (44)
- A Double Residual Compression Algorithm for Efficient Distributed Learning (2019) (41)
- Reconstruction-based Unsupervised Feature Selection: An Embedded Approach (2017) (41)
- Characterizing the Decision Boundary of Deep Neural Networks (2019) (40)
- Automated Embedding Size Search in Deep Recommender Systems (2020) (40)
- DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems (2019) (39)
- Crime in Urban Areas:: A Data Mining Perspective (2018) (36)
- Toward End-to-End Deception Detection in Videos (2018) (36)
- Signed Graph Convolutional Network (2018) (35)
- Signed Network Modeling Based on Structural Balance Theory (2017) (35)
- "Deep reinforcement learning for search, recommendation, and online advertising: a survey" by Xiangyu Zhao, Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator (2018) (35)
- Unsupervised Sentiment Analysis with Signed Social Networks (2017) (35)
- Attacking Black-box Recommendations via Copying Cross-domain User Profiles (2020) (34)
- Leveraging knowledge across media for spammer detection in microblogging (2014) (34)
- Deep Adversarial Network Alignment (2019) (33)
- AutoLoss: Automated Loss Function Search in Recommendations (2021) (33)
- CoSelect: Feature Selection with Instance Selection for Social Media Data (2013) (32)
- The good, the bad, and the ugly: uncovering novel research opportunities in social media mining (2016) (31)
- Deep Knowledge Tracing with Side Information (2019) (30)
- Integrating Social Media Data for Community Detection (2011) (30)
- CrossFire: Cross Media Joint Friend and Item Recommendations (2018) (30)
- Discriminant Analysis for Unsupervised Feature Selection (2014) (29)
- Graph Condensation for Graph Neural Networks (2021) (29)
- Positive-Unlabeled Learning in Streaming Networks (2016) (28)
- A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability (2022) (27)
- CLARE: A Joint Approach to Label Classification and Tag Recommendation (2017) (27)
- Linear Convergent Decentralized Optimization with Compression (2020) (26)
- PPP: Joint Pointwise and Pairwise Image Label Prediction (2016) (26)
- Automatic Short Answer Grading via Multiway Attention Networks (2019) (26)
- Modeling Status Theory in Trust Prediction (2015) (25)
- ActNeT: Active Learning for Networked Texts in Microblogging (2013) (25)
- User Vulnerability and Its Reduction on a Social Networking Site (2014) (25)
- Trust Evolution: Modeling and Its Applications (2015) (25)
- Recommender Systems with Heterogeneous Side Information (2019) (25)
- Feature Selection for Social Media Data (2014) (24)
- Exploring Transfer Learning for Crime Prediction (2017) (24)
- Epidemic Graph Convolutional Network (2020) (24)
- AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems (2021) (23)
- Toward Simulating Environments in Reinforcement Learning Based Recommendations (2019) (22)
- ROSE: Role-based Signed Network Embedding (2020) (22)
- Automated Self-Supervised Learning for Graphs (2021) (22)
- Multi-Factor Congressional Vote Prediction (2019) (21)
- Document Clustering via Matrix Representation (2011) (21)
- Graph Neural Networks with Adaptive Residual (2021) (21)
- Graph Adversarial Attack via Rewiring (2021) (21)
- Toward Dual Roles of Users in Recommender Systems (2015) (20)
- Understanding compromised accounts on Twitter (2017) (20)
- Paired Restricted Boltzmann Machine for Linked Data (2016) (20)
- Memory-efficient Embedding for Recommendations (2020) (19)
- Identifying Rhetorical Questions in Social Media (2021) (19)
- Twitter summarization with social-temporal context (2017) (19)
- Graduate Employment Prediction with Bias (2019) (19)
- End-to-End Compromised Account Detection (2018) (19)
- Propagation-based Sentiment Analysis for Microblogging Data (2015) (19)
- Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network (2020) (18)
- Multi-document summarization via group sparse learning (2016) (18)
- Understanding and Identifying Advocates for Political Campaigns on Social Media (2016) (18)
- Predictability of Distrust with Interaction Data (2014) (17)
- Timeline Summarization from Social Media with Life Cycle Models (2016) (17)
- Graph Neural Networks for Multimodal Single-Cell Data Integration (2022) (17)
- Scalable learning of users' preferences using networked data (2014) (17)
- Say What I Want: Towards the Dark Side of Neural Dialogue Models (2019) (16)
- Delving Deep into Personal Photo and Video Search (2017) (16)
- Trust in social computing (2014) (16)
- Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection (2020) (16)
- Dynamic Graph Neural Networks (2018) (15)
- Graph Trend Filtering Networks for Recommendation (2022) (15)
- Predicting Online Protest Participation of Social Media Users (2015) (15)
- Personalized location recommendation on location-based social networks (2014) (14)
- Model-Based Reinforcement Learning for Whole-Chain Recommendations (2019) (14)
- Network denoising in social media (2013) (14)
- Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models (2020) (14)
- Jointly Attacking Graph Neural Network and its Explanations (2021) (14)
- Deep Reinforcement Learning for Online Advertising in Recommender Systems (2019) (13)
- Recommendation in social media: recent advances and new frontiers (2014) (13)
- Context-Aware Experience Extraction from Online Health Forums (2015) (12)
- Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study (2019) (12)
- Link and interaction polarity predictions in signed networks (2018) (12)
- Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network (2018) (12)
- Decision Boundary of Deep Neural Networks: Challenges and Opportunities (2020) (12)
- Balance in Signed Bipartite Networks (2019) (12)
- The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification (2021) (12)
- Facilitating Time Critical Information Seeking in Social Media (2017) (11)
- Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network (2019) (11)
- CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter (2018) (10)
- Understanding and Identifying Rhetorical Questions in Social Media (2018) (10)
- UserSim: User Simulation via Supervised GenerativeAdversarial Network (2021) (10)
- DeepRobust: a Platform for Adversarial Attacks and Defenses (2021) (10)
- Congressional Vote Analysis Using Signed Networks (2018) (9)
- Cloud Information Retrieval: Model Description and Scheme Design (2018) (9)
- Temporal dynamics in social trust prediction (2014) (9)
- Learning-based blockage prediction for robust links in dynamic millimeter wave networks (2019) (9)
- Condensing Graphs via One-Step Gradient Matching (2022) (9)
- Representation Learning From Limited Educational Data With Crowdsourced Labels (2020) (9)
- Leveraging Social Foci for Information Seeking in Social Media (2015) (9)
- Price Recommendation on Vacation Rental Websites (2017) (8)
- Preserving Local and Global Information for Network Embedding (2017) (8)
- A Large Scale Search Dataset for Unbiased Learning to Rank (2022) (8)
- Reinforcement Learning for Online Information Seeking (2018) (8)
- Understanding and Predicting Weight Loss with Mobile Social Networking Data (2017) (8)
- Graph Pooling with Representativeness (2020) (8)
- Global-and-Local Aware Data Generation for the Class Imbalance Problem (2020) (8)
- Exploiting Hierarchical Structures for Unsupervised Feature Selection (2017) (7)
- Understanding and Predicting Delay in Reciprocal Relations (2017) (7)
- Deep Adversarial Canonical Correlation Analysis (2020) (7)
- Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks (2014) (7)
- Neural Multi-task Learning for Teacher Question Detection in Online Classrooms (2020) (7)
- Learning Multi-level Dependencies for Robust Word Recognition (2019) (7)
- Decentralized Composite Optimization with Compression (2021) (6)
- Embedded Supervised Feature Selection for Multi-class Data (2017) (6)
- Link and interaction polarity predictions in signed networks (2020) (6)
- Imbalanced Adversarial Training with Reweighting (2021) (6)
- Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest (2020) (6)
- Adversarial Attacks and Defenses: Frontiers, Advances and Practice (2020) (6)
- Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective (2022) (5)
- Large-Scale Location Prediction for Web Pages (2017) (5)
- How Voice Service Threatens Cellular-Connected IoT Devices in the Operational 4G LTE Networks (2018) (5)
- Multi-Type Urban Crime Prediction (2022) (5)
- Social Science–guided Feature Engineering (2020) (5)
- Graph Trend Networks for Recommendations (2021) (4)
- Toward Annotator Group Bias in Crowdsourcing (2021) (4)
- Siamese Neural Networks for Class Activity Detection (2020) (4)
- Personalized Multimodal Feedback Generation in Education (2020) (4)
- Deep Learning in Single-Cell Analysis (2022) (4)
- Computing Distrust in Social Media (2015) (3)
- Negative samples selecting strategy for graph contrastive learning (2022) (3)
- Finding Time-Critical Responses for Information Seeking in Social Media (2015) (3)
- Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest (2020) (3)
- Empowering Graph Representation Learning with Test-Time Graph Transformation (2022) (3)
- Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting (2017) (3)
- What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020 (2021) (3)
- Trust Prediction with Temporal Dynamics (2014) (3)
- DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis (2023) (3)
- Test-Time Training for Graph Neural Networks (2022) (2)
- Recent Advances in Multimodal Educational Data Mining in K-12 Education (2020) (2)
- Learning from Incomplete Labeled Data via Adversarial Data Generation (2020) (2)
- Mixed and blended emotional reactions to 2014 Ebola outbreak (2020) (2)
- Rating Distribution Calibration for Selection Bias Mitigation in Recommendations (2022) (2)
- Graph Trend Filtering Networks for Recommendations (2021) (2)
- Gene Expression and Protein Function: A Survey of Deep Learning Methods (2019) (2)
- Am I More Similar to My Followers or Followees ? Homophily Effect in Directed Online Social Networks (2014) (2)
- Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest (2020) (2)
- Graph Convolutional Networks against Degree-Related Biases (2020) (2)
- Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? (2022) (2)
- Exploiting User Actions for App Recommendations (2018) (2)
- Efficient Machine Learning on Large-Scale Graphs (2022) (2)
- Am I More Similar to My Followers or Followees ? Homophily Effect in Directed Online Social Networks (2014) (2)
- Generative Diffusion Models on Graphs: Methods and Applications (2023) (2)
- Addressing the cold-start problem in location recommendation using geo-social correlations (2014) (2)
- Customized Graph Neural Networks (2020) (2)
- An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering (2021) (1)
- G RAPH N EURAL N ETWORKS AS M ULTI - VIEW L EARN ING (2022) (1)
- Bi-channel Masked Graph Autoencoders for Spatially Resolved Single-cell Transcriptomics Data Imputation (2022) (1)
- Graph Enhanced BERT for Query Understanding (2022) (1)
- Weight Loss Prediction in Social-Temporal Context (2019) (1)
- Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals (2022) (1)
- Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models (2021) (1)
- Social Media Data Integration for Community Detection (2012) (1)
- Network Embedding with Centrality Information (2017) (1)
- Toward Degree Bias in Embedding-Based Knowledge Graph Completion (2023) (1)
- Predicting Weight Loss with Enemble Methods (2017) (1)
- PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations (2022) (1)
- Towards the Memorization Effect of Neural Networks in Adversarial Training (2021) (1)
- Signed Node Relevance Measurements (2017) (1)
- Local and Global Information Preserved Network Embedding (2018) (1)
- Signed Network Node Relevance Measurements (2017) (1)
- The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21) (2021) (1)
- Opening the Black Box: Interpretable Machine Learning for Geneticists (2020) (1)
- Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction (2020) (0)
- Yet Meta Learning Can Adapt Fast, It Can Also Break Easily (2020) (0)
- Graph Feature Gating Networks (2021) (0)
- The structure and function of the global citrus rhizosphere microbiome (2018) (0)
- Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models (2021) (0)
- Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference (2022) (0)
- Adversarial Robustness in Deep Learning: From Practices to Theories (2021) (0)
- Single-Cell Multimodal Prediction via Transformers (2023) (0)
- Whole Page Unbiased Learning to Rank (2022) (0)
- ACM WSDM 2022 report (2022) (0)
- Enriching short text representation in microblog for clustering (2012) (0)
- G RAPH C ONDENSATION FOR G RAPH N EURAL N ET - WORKS (2022) (0)
- Feature Engineering for Data Streams (2018) (0)
- SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology (2023) (0)
- Learning Representations for Hyper-Relational Knowledge Graphs (2022) (0)
- I S H OMOPHILY A N ECESSITY FOR G RAPH N EURAL N ETWORKS ? (2022) (0)
- Inverse APPNP: Solution for OGB-LSC 2022 MAG240M (2022) (0)
- Accepted Tutorials at The Web Conference 2022 (2022) (0)
- The good, the bad, and the ugly: uncovering novel research opportunities in social media mining (2016) (0)
- Publications CIKM 2016 (2017) (0)
- Non-IID Graph Neural Networks (2020) (0)
- Enhancing Adversarial Training with Feature Separability (2022) (0)
- Defense Against Gradient Leakage Attacks via Learning to Obscure Data (2022) (0)
- INS-GNN: Improving Graph Imbalance Learning with Self-Supervision (2023) (0)
- Fake News Detector: FND (2020) (0)
- Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries (2020) (0)
- Opening the black box : interpretable machine learning for geneticists 1 2 (2020) (0)
- Graph Representation Learning: Foundations, Methods, Applications and Systems (2021) (0)
- Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation (2023) (0)
- Am I More Similar to My Followers or Followees? Analyzing Homophily Effect in Directed Online Social Networks (2014) (0)
- Social recommendation: a review (2013) (0)
- Query Rewriting (2020) (0)
- Linked Recurrent Neural Networks (2018) (0)
- Exploring Personal Attributes from Unprotected Interactions (2021) (0)
- Alternately Optimized Graph Neural Networks (2022) (0)
- Am I More Similar to My Followers or Followees? Analyzing Homophily Effect in Directed Online Social Networks (2014) (0)
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