Jiliang Tang

Orcid: 0000-0001-7125-3898

Affiliations:
  • Michigan State University, East Lansing, MI, USA
  • Arizona State University, Tempe, Arizona, USA (Ph.D.)


According to our database1, Jiliang Tang authored at least 370 papers between 2011 and 2024.

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Bibliography

2024
Recommender Systems in the Era of Large Language Models (LLMs).
IEEE Trans. Knowl. Data Eng., November, 2024

Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective.
IEEE Trans. Knowl. Data Eng., November, 2024

Deep Learning in Single-cell Analysis.
ACM Trans. Intell. Syst. Technol., June, 2024

SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.
J. Comput. Biol., 2024

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension.
CoRR, 2024

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.
CoRR, 2024

Sub-graph Based Diffusion Model for Link Prediction.
CoRR, 2024

Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path.
CoRR, 2024

Exploring Query Understanding for Amazon Product Search.
CoRR, 2024

Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis.
CoRR, 2024

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness.
CoRR, 2024

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models.
CoRR, 2024

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.
CoRR, 2024

EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations.
CoRR, 2024

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever.
CoRR, 2024

A Pure Transformer Pretraining Framework on Text-attributed Graphs.
CoRR, 2024

Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion.
CoRR, 2024

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
CoRR, 2024

Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs.
CoRR, 2024

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach.
CoRR, 2024

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept.
CoRR, 2024

Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models.
CoRR, 2024

Large Language Models for Education: A Survey and Outlook.
CoRR, 2024

Automate Knowledge Concept Tagging on Math Questions with LLMs.
CoRR, 2024

Bringing Generative AI to Adaptive Learning in Education.
CoRR, 2024

Rethinking Large Language Model Architectures for Sequential Recommendations.
CoRR, 2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.
CoRR, 2024

Mixture of Link Predictors.
CoRR, 2024

Copyright Protection in Generative AI: A Technical Perspective.
CoRR, 2024

Graph Foundation Models.
CoRR, 2024

A Data Generation Perspective to the Mechanism of In-Context Learning.
CoRR, 2024

Data Poisoning for In-context Learning.
CoRR, 2024

Neural Scaling Laws on Graphs.
CoRR, 2024

Superiority of Multi-Head Attention in In-Context Linear Regression.
CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.
CoRR, 2024

Masked Graph Autoencoder with Non-discrete Bandwidths.
Proceedings of the ACM on Web Conference 2024, 2024

Whole Page Unbiased Learning to Rank.
Proceedings of the ACM on Web Conference 2024, 2024

The 1st International Workshop on Graph Foundation Models (GFM).
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LPFormer: An Adaptive Graph Transformer for Link Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Position: Graph Foundation Models Are Already Here.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024


CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Revisiting Link Prediction: a data perspective.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sharpness-Aware Data Poisoning Attack.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Structural Fairness-aware Active Learning for Graph Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Label-free Node Classification on Graphs with Large Language Models (LLMs).
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Are Large Language Models (LLMs) Good Social Predictors?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On the Generalization of Training-based ChatGPT Detection Methods.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024

Content Knowledge Identification with Multi-agent Large Language Models (LLMs).
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exploring Memorization in Fine-tuned Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.
IEEE Trans. Knowl. Data Eng., December, 2023

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.
SIGKDD Explor., December, 2023

INS-GNN: Improving graph imbalance learning with self-supervision.
Inf. Sci., August, 2023

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
ACM Trans. Inf. Syst., April, 2023

Trustworthy AI: A Computational Perspective.
ACM Trans. Intell. Syst. Technol., February, 2023

Customized Graph Nerual Networks.
IEEE Data Eng. Bull., 2023

Embedding in Recommender Systems: A Survey.
CoRR, 2023

Adaptive Pairwise Encodings for Link Prediction.
CoRR, 2023

Confidence-driven Sampling for Backdoor Attacks.
CoRR, 2023

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.
CoRR, 2023

Graph-level Representation Learning with Joint-Embedding Predictive Architectures.
CoRR, 2023

Recommender Systems in the Era of Large Language Models (LLMs).
CoRR, 2023

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.
CoRR, 2023

Sharpness-Aware Data Poisoning Attack.
CoRR, 2023

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation.
CoRR, 2023

Toward Degree Bias in Embedding-Based Knowledge Graph Completion.
Proceedings of the ACM Web Conference 2023, 2023

Graph Enhanced BERT for Query Understanding.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Label Position Bias in Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SA-GDA: Spectral Augmentation for Graph Domain Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Large-Scale Graph Neural Networks: The Past and New Frontiers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Deep Learning on Graphs: Methods and Applications (DLG-KDD2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How does the Memorization of Neural Networks Impact Adversarial Robust Models?
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Diffusion Models on Graphs: Methods and Applications.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Probabilistic Categorical Adversarial Attack and Adversarial Training.
Proceedings of the International Conference on Machine Learning, 2023

Alternately Optimized Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Transferable Unlearnable Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Empowering Graph Representation Learning with Test-Time Graph Transformation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Jointly Attacking Graph Neural Network and its Explanations.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Distance-Based Propagation for Efficient Knowledge Graph Reasoning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Single-Cell Multimodal Prediction via Transformers.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Representation Learning From Limited Educational Data With Crowdsourced Labels.
IEEE Trans. Knowl. Data Eng., 2022

A Graph Neural Network Framework for Social Recommendations.
IEEE Trans. Knowl. Data Eng., 2022

ACM WSDM 2022 report.
SIGWEB Newsl., 2022

Negative samples selecting strategy for graph contrastive learning.
Inf. Sci., 2022

Whole Page Unbiased Learning to Rank.
CoRR, 2022

Towards Fair Classification against Poisoning Attacks.
CoRR, 2022

Probabilistic Categorical Adversarial Attack & Adversarial Training.
CoRR, 2022

Test-Time Training for Graph Neural Networks.
CoRR, 2022

Learning Representations for Hyper-Relational Knowledge Graphs.
CoRR, 2022

Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals.
CoRR, 2022

Condensing Graphs via One-Step Gradient Matching.
CoRR, 2022

Alternately Optimized Graph Neural Networks.
CoRR, 2022

Defense Against Gradient Leakage Attacks via Learning to Obscure Data.
CoRR, 2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?
CoRR, 2022

Enhancing Adversarial Training with Feature Separability.
CoRR, 2022

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.
CoRR, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.
CoRR, 2022

Rating Distribution Calibration for Selection Bias Mitigation in Recommendations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022


Graph Trend Filtering Networks for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning from Imbalanced Crowdsourced Labeled Data.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Localized Graph Collaborative Filtering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A Large Scale Search Dataset for Unbiased Learning to Rank.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Learning on Graphs: Methods and Applications (DLG-KDD2022).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Condensing Graphs via One-Step Gradient Matching.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Efficient Machine Learning on Large-Scale Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph Condensation for Graph Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Automated Self-Supervised Learning for Graphs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Is Homophily a Necessity for Graph Neural Networks?
Proceedings of the Tenth International Conference on Learning Representations, 2022

Imbalanced Adversarial Training with Reweighting.
Proceedings of the IEEE International Conference on Data Mining, 2022

Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Toward Annotator Group Bias in Crowdsourcing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Multi-Type Urban Crime Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning-based blockage prediction for robust links in dynamic millimeter wave networks.
Wirel. Networks, 2021

SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data.
Trans. Data Sci., 2021

What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020.
CoRR, 2021

Graph Trend Networks for Recommendations.
CoRR, 2021

Decentralized Composite Optimization with Compression.
CoRR, 2021

Trustworthy AI: A Computational Perspective.
CoRR, 2021

Towards the Memorization Effect of Neural Networks in Adversarial Training.
CoRR, 2021

UserSim: User Simulation via Supervised GenerativeAdversarial Network.
Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Node Similarity Preserving Graph Convolutional Networks.
Proceedings of the WSDM '21, 2021

Yet Meta Learning Can Adapt Fast, it Can Also Break Easily.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Graph Neural Networks with Adaptive Residual.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AutoLoss: Automated Loss Function Search in Recommendations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Adversarial Robustness in Deep Learning: From Practices to Theories.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Representation Learning: Foundations, Methods, Applications and Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Adversarial Attack via Rewiring.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

To be Robust or to be Fair: Towards Fairness in Adversarial Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

Elastic Graph Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Linear Convergent Decentralized Optimization with Compression.
Proceedings of the 9th International Conference on Learning Representations, 2021

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.
Proceedings of the IEEE International Conference on Data Mining, 2021

Attacking Black-box Recommendations via Copying Cross-domain User Profiles.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries.
Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

Graph Feature Gating Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Deep Adversarial Network Alignment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Unified View on Graph Neural Networks as Graph Signal Denoising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

DeepRobust: a Platform for Adversarial Attacks and Defenses.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis.
ACM Trans. Intell. Syst. Technol., 2020

Link and interaction polarity predictions in signed networks.
Soc. Netw. Anal. Min., 2020

Adversarial Attacks and Defenses on Graphs.
SIGKDD Explor., 2020

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review.
Int. J. Autom. Comput., 2020

To be Robust or to be Fair: Towards Fairness in Adversarial Training.
CoRR, 2020

Graph Convolutional Networks against Degree-Related Biases.
CoRR, 2020

Memory-efficient Embedding for Recommendations.
CoRR, 2020

Self-supervised Learning on Graphs: Deep Insights and New Direction.
CoRR, 2020

Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models.
CoRR, 2020

Non-IID Graph Neural Networks.
CoRR, 2020

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses.
CoRR, 2020

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study.
CoRR, 2020

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.
CoRR, 2020

Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction.
CoRR, 2020

Traffic Flow Prediction via Spatial Temporal Graph Neural Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

ROSE: Role-based Signed Network Embedding.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Decision Boundary of Deep Neural Networks: Challenges and Opportunities.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Epidemic Graph Convolutional Network.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest.
Proceedings of the IEEE International Conference on Teaching, 2020

Automated Embedding Size Search in Deep Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Streaming Graph Neural Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Global-and-Local Aware Data Generation for the Class Imbalance Problem.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Deep Adversarial Canonical Correlation Analysis.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Jointly Learning to Recommend and Advertise.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

XGNN: Towards Model-Level Explanations of Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Adversarial Attacks and Defenses: Frontiers, Advances and Practice.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Recent Advances in Multimodal Educational Data Mining in K-12 Education.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Graph Structure Learning for Robust Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning from Incomplete Labeled Data via Adversarial Data Generation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Graph Pooling with Representativeness.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Personalized Multimodal Feedback Generation in Education.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Does Gender Matter? Towards Fairness in Dialogue Systems.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Whole-Chain Recommendations.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A Double Residual Compression Algorithm for Efficient Distributed Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Siamese Neural Networks for Class Activity Detection.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Neural Multi-task Learning for Teacher Question Detection in Online Classrooms.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Learning Multi-Level Dependencies for Robust Word Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graduate Employment Prediction with Bias.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network.
IEEE Trans. Veh. Technol., 2019

Deep reinforcement learning for search, recommendation, and online advertising: a survey.
SIGWEB Newsl., 2019

Gene Expression and Protein Function: A Survey of Deep Learning Methods.
SIGKDD Explor., 2019

Characterizing the Decision Boundary of Deep Neural Networks.
CoRR, 2019

Say What I Want: Towards the Dark Side of Neural Dialogue Models.
CoRR, 2019

Deep Reinforcement Learning for Online Advertising in Recommender Systems.
CoRR, 2019

R-Transformer: Recurrent Neural Network Enhanced Transformer.
CoRR, 2019

Toward Simulating Environments in Reinforcement Learning Based Recommendations.
CoRR, 2019

Attacking Graph Convolutional Networks via Rewiring.
CoRR, 2019

Model-Based Reinforcement Learning for Whole-Chain Recommendations.
CoRR, 2019

Recommender Systems with Heterogeneous Side Information.
Proceedings of the World Wide Web Conference, 2019

Graph Neural Networks for Social Recommendation.
Proceedings of the World Wide Web Conference, 2019

Learning-based Blockage Prediction for Robust Links in Dynamic Millimeter Wave Networks.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

Multi-dimensional Graph Convolutional Networks.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep social collaborative filtering.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Learning Hierarchical Discourse-level Structure for Fake News Detection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Graph Convolutional Networks with EigenPooling.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Adversarial Social Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Weight Loss Prediction in Social-Temporal Context.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Balance in Signed Bipartite Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-factor congressional vote prediction.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Deep Knowledge Tracing with Side Information.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

Automatic Short Answer Grading via Multiway Attention Networks.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
IEEE Trans. Knowl. Data Eng., 2018

Exploring Hierarchical Structures for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2018

Understanding and Identifying Rhetorical Questions in Social Media.
ACM Trans. Intell. Syst. Technol., 2018

Crime in Urban Areas: : A Data Mining Perspective.
SIGKDD Explor., 2018

Feature Selection: A Data Perspective.
ACM Comput. Surv., 2018

Reinforcement Learning for Online Information Seeking.
CoRR, 2018

Dynamic Graph Neural Networks.
CoRR, 2018

Signed Graph Convolutional Network.
CoRR, 2018

Linked Recurrent Neural Networks.
CoRR, 2018

Deep Reinforcement Learning for List-wise Recommendations.
CoRR, 2018

Cloud Information Retrieval: Model Description and Scheme Design.
IEEE Access, 2018

Understanding and Predicting Delay in Reciprocal Relations.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Hierarchical Variational Memory Network for Dialogue Generation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Micro Behaviors: A New Perspective in E-commerce Recommender Systems.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

CrossFire: Cross Media Joint Friend and Item Recommendations.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Dimensional Network Embedding with Hierarchical Structure.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Deep reinforcement learning for page-wise recommendations.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Congressional Vote Analysis Using Signed Networks.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Signed Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Data Mining, 2018

How Voice Service Threatens Cellular-Connected IoT Devices in the Operational 4G LTE Networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Multi-Source Multi-Class Fake News Detection.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Signed Network Modeling Based on Structural Balance Theory.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Toward End-to-End Deception Detection in Videos.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Exploiting User Actions for App Recommendations.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

End-to-End Compromised Account Detection.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Local and Global Information Preserved Network Embedding.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Feature Selection.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Twitter summarization with social-temporal context.
World Wide Web, 2017

Facilitating Time Critical Information Seeking in Social Media.
IEEE Trans. Knowl. Data Eng., 2017

Large-Scale Location Prediction for Web Pages.
IEEE Trans. Knowl. Data Eng., 2017

Fake News Detection on Social Media: A Data Mining Perspective.
SIGKDD Explor., 2017

A Survey on Dialogue Systems: Recent Advances and New Frontiers.
SIGKDD Explor., 2017

Preserving Local and Global Information for Network Embedding.
CoRR, 2017

Signed Node Relevance Measurements.
CoRR, 2017

Learning Word Representations for Sentiment Analysis.
Cogn. Comput., 2017

What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation.
Proceedings of the 26th International Conference on World Wide Web, 2017

Understanding and Discovering Deliberate Self-harm Content in Social Media.
Proceedings of the 26th International Conference on World Wide Web, 2017

Streaming Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web, 2017

Delving Deep into Personal Photo and Video Search.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Understanding compromised accounts on Twitter.
Proceedings of the International Conference on Web Intelligence, 2017

Exploiting Hierarchical Structures for Unsupervised Feature Selection.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Signed Network Embedding in Social Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Price Recommendation on Vacation Rental Websites.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Embedded Supervised Feature Selection for Multi-class Data.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Reconstruction-based Unsupervised Feature Selection: An Embedded Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Exploring Transfer Learning for Crime Prediction.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Predicting Weight Loss with Enemble Methods.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Network Embedding with Centrality Information.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Modeling Temporal-Spatial Correlations for Crime Prediction.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Understanding and Predicting Weight Loss with Mobile Social Networking Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Attributed Signed Network Embedding.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Attributed Network Embedding for Learning in a Dynamic Environment.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

CLARE: A Joint Approach to Label Classification and Tag Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Unsupervised Sentiment Analysis with Signed Social Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
User Identity Linkage across Online Social Networks: A Review.
SIGKDD Explor., 2016

Multi-document summarization via group sparse learning.
Inf. Sci., 2016

The good, the bad, and the ugly: uncovering novel research opportunities in social media mining.
Int. J. Data Sci. Anal., 2016

A Survey of Signed Network Mining in Social Media.
ACM Comput. Surv., 2016

Hierarchical Attention Network for Action Recognition in Videos.
CoRR, 2016

Recommendations in Signed Social Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016

Understanding and Identifying Advocates for Political Campaigns on Social Media.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Node Classification in Signed Social Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Exploiting Emotional Information for Trust/Distrust Prediction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Ranking Relevance in Yahoo Search.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Positive-Unlabeled Learning in Streaming Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Timeline Summarization from Social Media with Life Cycle Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Identifying Rhetorical Questions in Social Media.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Exploring Personal Attributes from Unprotected Interactions.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Signed Link Analysis in Social Media Networks.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

PPP: Joint Pointwise and Pairwise Image Label Prediction.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Paired Restricted Boltzmann Machine for Linked Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Linked Document Embedding for Classification.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Learning to Rewrite Queries.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommendation with Social Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Predicting Online Protest Participation of Social Media Users.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Trust in Social Media
Synthesis Lectures on Information Security, Privacy, & Trust, Morgan & Claypool Publishers, ISBN: 978-3-031-02345-3, 2015

Trust Evolution: Modeling and Its Applications.
IEEE Trans. Knowl. Data Eng., 2015

Addressing the cold-start problem in location recommendation using geo-social correlations.
Data Min. Knowl. Discov., 2015

Predicting Online Protest Participation of Social Media Users.
CoRR, 2015

Negative Link Prediction in Social Media.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Propagation-based Sentiment Analysis for Microblogging Data.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Heterogeneous Network Embedding via Deep Architectures.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Unsupervised Sentiment Analysis for Social Media Images.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Exploring Implicit Hierarchical Structures for Recommender Systems.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Context-Aware Experience Extraction from Online Health Forums.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Finding Time-Critical Responses for Information Seeking in Social Media.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Toward Dual Roles of Users in Recommender Systems.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Unsupervised Streaming Feature Selection in Social Media.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Modeling Status Theory in Trust Prediction.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Embedded Unsupervised Feature Selection.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Leveraging Social Foci for Information Seeking in Social Media.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Content-Aware Point of Interest Recommendation on Location-Based Social Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
An Unsupervised Feature Selection Framework for Social Media Data.
IEEE Trans. Knowl. Data Eng., 2014

Feature Selection for Social Media Data.
ACM Trans. Knowl. Discov. Data, 2014

User Vulnerability and Its Reduction on a Social Networking Site.
ACM Trans. Knowl. Discov. Data, 2014

Trust in social computing.
Proceedings of the 23rd International World Wide Web Conference, 2014

Trust Prediction with Temporal Dynamics.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Leveraging knowledge across media for spammer detection in microblogging.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Discriminant Analysis for Unsupervised Feature Selection.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Personalized location recommendation on location-based social networks.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Recommendation in social media: recent advances and new frontiers.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Social Spammer Detection with Sentiment Information.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Is distrust the negation of trust?: the value of distrust in social media.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Scalable learning of users' preferences using networked data.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Predictability of Distrust with Interaction Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Online Social Spammer Detection.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Feature Selection for Classification: A Review.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Social recommendation: a review.
Soc. Netw. Anal. Min., 2013

Mining social media with social theories: a survey.
SIGKDD Explor., 2013

Unsupervised sentiment analysis with emotional signals.
Proceedings of the 22nd International World Wide Web Conference, 2013

Exploiting homophily effect for trust prediction.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Exploiting social relations for sentiment analysis in microblogging.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

CoSelect: Feature Selection with Instance Selection for Social Media Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

ActNeT: Active Learning for Networked Texts in Microblogging.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Unsupervised Feature Selection for Multi-View Data in Social Media.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Context-aware review helpfulness rating prediction.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Exploring temporal effects for location recommendation on location-based social networks.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Exploiting Local and Global Social Context for Recommendation.
Proceedings of the IJCAI 2013, 2013

Social Spammer Detection in Microblogging.
Proceedings of the IJCAI 2013, 2013

Modeling temporal effects of human mobile behavior on location-based social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Network denoising in social media.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Feature Selection for Clustering: A Review.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Enriching short text representation in microblog for clustering.
Frontiers Comput. Sci. China, 2012

mTrust: discerning multi-faceted trust in a connected world.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Feature Selection with Linked Data in Social Media.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

eTrust: understanding trust evolution in an online world.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Unsupervised feature selection for linked social media data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Exploring Social-Historical Ties on Location-Based Social Networks.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

gSCorr: modeling geo-social correlations for new check-ins on location-based social networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Integrating Social Media Data for Community Detection.
Proceedings of the Modeling and Mining Ubiquitous Social Media, 2011

Document Clustering via Matrix Representation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011


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